From e424402a5b2d920cc0710c13d301fabf5cd23574 Mon Sep 17 00:00:00 2001 From: Andrew Beekhof Date: Tue, 3 Oct 2023 00:11:25 +0000 Subject: [PATCH 01/15] Start renaming pattern tiers, create a tested tier --- .../learn/{validated.adoc => maintained.adoc} | 11 +- .../learn/{community.adoc => sandbox.adoc} | 13 +- content/learn/tested.adoc | 121 ++++++++++++++++++ 3 files changed, 133 insertions(+), 12 deletions(-) rename content/learn/{validated.adoc => maintained.adoc} (95%) rename content/learn/{community.adoc => sandbox.adoc} (70%) create mode 100644 content/learn/tested.adoc diff --git a/content/learn/validated.adoc b/content/learn/maintained.adoc similarity index 95% rename from content/learn/validated.adoc rename to content/learn/maintained.adoc index f8cf81406..077785f83 100644 --- a/content/learn/validated.adoc +++ b/content/learn/maintained.adoc @@ -2,8 +2,9 @@ menu: learn: parent: Workflow -title: Validated Patterns +title: Validated Patterns - Maintained Tier weight: 43 +aliases: /requirements/maintained/ aliases: /requirements/validated/ --- @@ -11,7 +12,7 @@ aliases: /requirements/validated/ :_content-type: ASSEMBLY include::modules/comm-attributes.adoc[] -= Validated Pattern Requirements += Requirements for the Maintained Tier [id="tldr"] == tl;dr @@ -44,10 +45,10 @@ https://github.com/validatedpatterns, and will receive on-going assistance from the Validated Patterns team. [id="nominating-a-community-pattern-to-become-validated"] -=== Nominating a Community Pattern to become Validated +=== Nominating a Tested Pattern to become Maintained -If there is a community pattern that you believe would be a good candidate for -becoming validated, please email hybrid-cloud-patterns@googlegroups.com at least +If there is a tested pattern that you believe would be a good candidate for +promotion to maintained, please email hybrid-cloud-patterns@googlegroups.com at least 4 weeks prior to the end of a given quarter in order for the necessary work to be considered as part of the following quarter's planning process. diff --git a/content/learn/community.adoc b/content/learn/sandbox.adoc similarity index 70% rename from content/learn/community.adoc rename to content/learn/sandbox.adoc index 1cf3d1112..d44517a3b 100644 --- a/content/learn/community.adoc +++ b/content/learn/sandbox.adoc @@ -2,26 +2,25 @@ menu: learn: parent: Workflow -title: Community Patterns +title: Validated Patterns - Sandbox Tier weight: 42 aliases: /requirements/community/ +aliases: /requirements/sandbox/ --- :toc: -= Community Pattern Requirements += Requirements for the Sandbox Tier [id="tldr"] == tl;dr -* *What are they:* Best practice implementations conforming to the Validated Patterns implementation practices -* *Purpose:* Codify best practices and promote collaboration between different groups inside, and external to, Red Hat -* *Creator:* Customers, Partners, GSIs, Services/Consultants, SAs, and other Red Hat teams +* TBA [id="requirements"] == Requirements -General requirements for all Community, and Validated patterns +General requirements for all Validated patterns [id="base"] === Base @@ -37,7 +36,7 @@ While we strive to be inclusive, the community will have quality standards and g . Patterns *MUST* undergo an informal technical review by a community leader to ensure that it conforms to the link:/requirements/implementation/[technical requirements] and meets basic reuse standards . Patterns *MUST* document their support policy + -It is anticipated that most community patterns will be supported by the community on a best-effort basis, but this should be stated explicitly. +REVIEW: It is anticipated that most community patterns will be supported by the community on a best-effort basis, but this should be stated explicitly. The validated patterns team commits to maintaining the framework but will also accept help. . Patterns SHOULD include a recorded demo highlighting the business problem and how the pattern solves it diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc new file mode 100644 index 000000000..dee516804 --- /dev/null +++ b/content/learn/tested.adoc @@ -0,0 +1,121 @@ +--- +menu: + learn: + parent: Workflow +title: Validated Patterns +weight: 43 +aliases: /requirements/tested/ +--- + +:toc: + += Requirements for the Tested Tier + +[id="tldr"] +== tl;dr + +* TBA + +[id="onboarding-existing-implementations"] +== Onboarding Existing Implementations + +The Validated Patterns team has a preference for empowering other, and not +taking credit for their work. + +Where there is an existing application/demo, there is also a strong preference +for the originating team to own any changes that are needed for the +implementation to become a validated pattern. Alternatively, if the Validated +Patterns team drives the conversion, then in order to prevent confusion and +duplicated efforts, we are likely to ask for a commitment to phase out use of +the previous implementation for future engagements such as demos, presentations, +and workshops. + +The goal is to avoid bringing a parallel implementation into existence which +divides Red Hat resources, and creates confusion internally and with customers +as the implementations drift apart. + +In both scenarios the originating team can choose where to host the primary +repository, will be given admin permissions to any fork in +https://github.com/hybrid-cloud-patterns, +and will receive on-going assistance from the Validated Patterns team. + +[id="nominating-a-community-pattern-to-become-validated"] +=== Nominating a Sandbox Pattern for Promotion to Tested + +If there is a sandbox pattern that you believe would be a good candidate for +promotion to tested, please email hybrid-cloud-patterns@googlegroups.com at least +4 weeks prior to the end of a given quarter in order for the necessary work to be +considered as part of the following quarter's planning process. + +Please be aware that each Validated Pattern represents an ongoing maintenance, support, +and CI effort. Finite team capacity means we must critically balance this cost against +the potential customer opportunity. A "`no`" or "`not yet`" result is not intended as an +insult against the pattern or its author. + +[id="requirements"] +== Requirements + +Validated Patterns have deliverable and requirements in addition to those +specified for link:/requirements/community/[Community-level] patterns + +[id="must"] +=== Must + +. Validated Patterns *MUST* contain more than two RH products. Alternative: Engage with the BU +. Validated Patterns, or the solution on which they are based, *MUST* have been deployed and approved for use in at least one customer environment. ++ +Alternative: link:/requirements/community[Community Pattern] + +. Validated Patterns *MUST* be meaningful without specialized hardware, including flavors of architectures not explicitly supported. Alternative: Engage with DCI ++ +Qualification is a Validated Patterns engineering decision with input from the pattern owner. + +. Validated Patterns *MUST* be broadly applicable. Alternative: Engage with Phased Gate and/or TAMs ++ +Qualification is a Validated Patterns PM decision with input from the pattern owner. + +. Validated Patterns *MUST* only make use of Red Hat products that are already fully supported by their product team(s). +. Validated Patterns *MUST NOT* rely on functionality in tech-preview, or hidden behind feature gates. +. Validated Patterns *MUST* conform to the same Community-level link:/requirements/implementation/[implementation requirements] +. Validated Patterns *MUST* have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams`' intentions and roadmaps +. Validated Patterns *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. +. Validated Patterns *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling +. Validated Patterns *MUST* include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution +. Validated Patterns *MUST* include a recorded demo highlighting the business problem and how the pattern solves it +. Validated Patterns *MUST* include a test plan covering all features or attributes being highlighted by the demo that also spans multiple products. Negative flow tests (such as resiliency or data retention in the presence of network outages) are limited to scenarios covered by the demonstration script. +. Validated Patterns *MUST* include automated CI testing that runs on every change to the pattern, or a schedule no less frequently than once per week +. Validated Patterns *MUST* create a new point release of the validation-level deliverables when minor versions (e.g. "`12`" in OpenShift 4.12) of consumed products change +. Validated Patterns *MUST* document their support policy ++ +The individual products used in a Validated Pattern are backed by the full Red Hat support experience conditional on the customer's subscription to those products, and the individual products`' support policy. +Additional components in a Validated Pattern that are not supported by Red Hat (e.g. Hashicorp Vault, and Seldon Core) will require a customer to obtain support from that vendor directly. +The validated patterns team is very motivated to address any problems in the VP Operator, as well as problems in the common helm charts, but cannot not offer any SLAs at this time. +See also our standard disclaimer + +. Validated Patterns *DO NOT* imply an obligation of support for partner or community operators by Red Hat. + +[id="should"] +=== Should + +. Validated Patterns SHOULD focus on functionality not performance. +. Validated Patterns SHOULD trigger CI runs for new versions of consumed products +. Validated Patterns SHOULD provide an RHPDS lab environment ++ +A bare bones environment into which the solution can be deployed, and a list of instructions for doing so (e.g. installing and configuring OpenShift GitOps) + +. Validated Patterns SHOULD provide pre-built demo environment using RHPDS ++ +Having an automated demo within the RHPDS system, that will be built based on the current stable version that is run against the CI testing system + +. Validated Patterns SHOULD track deployments of each validation-level deliverable ++ +For lifecycle decisions like discontinuing support of a version +For notification if problems are found in our CI + +[id="can"] +=== Can + +. Teams creating Validated Patterns CAN provide their own SLA ++ +A document for QE that defines, at a technical level, how to validate if the pattern has been successfully deployed and is functionally operational. +Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] From 70f7432fc0031e23fd5a40696014ed776645be7a Mon Sep 17 00:00:00 2001 From: Andrew Beekhof Date: Tue, 3 Oct 2023 01:55:32 +0000 Subject: [PATCH 02/15] Refresh the tier requirements to facilitate external parties and establish the tested tier --- content/learn/maintained.adoc | 109 +++++++---------------------- content/learn/sandbox.adoc | 48 +++++++++---- content/learn/tested.adoc | 125 +++++++++++++--------------------- 3 files changed, 107 insertions(+), 175 deletions(-) diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index 077785f83..806709a45 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -3,7 +3,7 @@ menu: learn: parent: Workflow title: Validated Patterns - Maintained Tier -weight: 43 +weight: 44 aliases: /requirements/maintained/ aliases: /requirements/validated/ --- @@ -12,115 +12,56 @@ aliases: /requirements/validated/ :_content-type: ASSEMBLY include::modules/comm-attributes.adoc[] -= Requirements for the Maintained Tier += The Validated Patterns 'Maintained' Tier [id="tldr"] == tl;dr -* *What are they:* Technical foundations, backed by CI, that have succeeded in the market and Red Hat expects to be repeatable across customers and segments. -* *Purpose:* Reduce risk, accelerate sales cycles, and allow consulting organizations to be more effective. -* *Creator:* The Validated Patterns team in conjunction with: Partners, GSIs, Services/Consultants, SAs, and other Red Hat teams +The Maintained tier is intended to provide consumers with additional "sales" collateral and reassurance that the pattern was known to be functional on all currently supported LTS versions of OpenShift. Inclusion in this tier may require additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. -[id="onboarding-existing-implementations"] -== Onboarding Existing Implementations - -The Validated Patterns team has a preference for empowering other, and not -taking credit for their work. - -Where there is an existing application/demo, there is also a strong preference -for the originating team to own any changes that are needed for the -implementation to become a validated pattern. Alternatively, if the Validated -Patterns team drives the conversion, then in order to prevent confusion and -duplicated efforts, we are likely to ask for a commitment to phase out use of -the previous implementation for future engagements such as demos, presentations, -and workshops. +[id="nominating-a-community-pattern-to-become-validated"] +=== Nominating a Tested Pattern to become Maintained -The goal is to avoid bringing a parallel implementation into existence which -divides Red Hat resources, and creates confusion internally and with customers -as the implementations drift apart. +If there is a Tested pattern that you believe would be a good candidate for promotion to Maintained, you can make that case by emailing hybrid-cloud-patterns@googlegroups.com -In both scenarios the originating team can choose where to host the primary -repository, will be given admin permissions to any fork in -https://github.com/validatedpatterns, -and will receive on-going assistance from the Validated Patterns team. +Please be aware that each Maintained pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all Validated Patterns. -[id="nominating-a-community-pattern-to-become-validated"] -=== Nominating a Tested Pattern to become Maintained +For this reason we have designed the tiers and our processes to facilitate this to occur outside of the team by any sufficiently motivated party, including other parts of Red Hat, partners, and even customers. -If there is a tested pattern that you believe would be a good candidate for -promotion to maintained, please email hybrid-cloud-patterns@googlegroups.com at least -4 weeks prior to the end of a given quarter in order for the necessary work to be -considered as part of the following quarter's planning process. +In limited cases, the Validated Patterns team may consider taking on that work, however please get in contact at least 4 weeks prior to the end of a given quarter in order for the necessary work to be considered as part of the following quarter's planning process -Please be aware that each Validated Pattern represents an ongoing maintenance, support, -and CI effort. Finite team capacity means we must critically balance this cost against -the potential customer opportunity. A "`no`" or "`not yet`" result is not intended as an -insult against the pattern or its author. [id="requirements"] == Requirements -Validated Patterns have deliverable and requirements in addition to those -specified for link:/requirements/community/[Community-level] patterns +Validated Patterns have deliverable and requirements *in addition* to those +specified for the link:/requirements/tested/[Tested tier] [id="must"] === Must -. Validated Patterns *MUST* contain more than two RH products. Alternative: Engage with the BU -. Validated Patterns, or the solution on which they are based, *MUST* have been deployed and approved for use in at least one customer environment. -+ -Alternative: link:/requirements/community[Community Pattern] - -. Validated Patterns *MUST* be meaningful without specialized hardware, including flavors of architectures not explicitly supported. Alternative: Engage with DCI -+ -Qualification is a Validated Patterns engineering decision with input from the pattern owner. - -. Validated Patterns *MUST* be broadly applicable. Alternative: Engage with Phased Gate and/or TAMs -+ -Qualification is a Validated Patterns PM decision with input from the pattern owner. - -. Validated Patterns *MUST* only make use of Red Hat products that are already fully supported by their product team(s). -. Validated Patterns *MUST NOT* rely on functionality in tech-preview, or hidden behind feature gates. -. Validated Patterns *MUST* conform to the same Community-level link:/requirements/implementation/[implementation requirements] -. Validated Patterns *MUST* have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams`' intentions and roadmaps -. Validated Patterns *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. -. Validated Patterns *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling -. Validated Patterns *MUST* include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution -. Validated Patterns *MUST* include a recorded demo highlighting the business problem and how the pattern solves it -. Validated Patterns *MUST* include a test plan covering all features or attributes being highlighted by the demo that also spans multiple products. Negative flow tests (such as resiliency or data retention in the presence of network outages) are limited to scenarios covered by the demonstration script. -. Validated Patterns *MUST* include automated CI testing that runs on every change to the pattern, or a schedule no less frequently than once per week -. Validated Patterns *MUST* create a new point release of the validation-level deliverables when minor versions (e.g. "`12`" in OpenShift 4.12) of consumed products change -. Validated Patterns *MUST* document their support policy +. Maintained Patterns *MUST* continue to meet the following criteria to remain in Maintained Tested tier +. Maintained Patterns *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] +. Maintained Patterns *MUST* only make use of components that are either supported, or easily substitued for supportable equivalents (eg. HashiCorp vault which has community and enterprise variants) +. Maintained Patterns *MUST NOT* rely on functionality in tech-preview, or hidden behind feature gates +. Maintained Patterns *MUST* have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams` intentions and roadmaps +. Maintained Patterns *MUST* include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution +. Maintained Patterns *MUST* include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week +. Maintained Patterns *MUST* be tested on all currently supported OpenShift LTS releases +. Maintained Patterns *MUST* fix breakage in a "timely" manner +. Maintained Patterns *MUST* document their support policy + The individual products used in a Validated Pattern are backed by the full Red Hat support experience conditional on the customer's subscription to those products, and the individual products`' support policy. ++ Additional components in a Validated Pattern that are not supported by Red Hat (e.g. Hashicorp Vault, and Seldon Core) will require a customer to obtain support from that vendor directly. -The validated patterns team is very motivated to address any problems in the VP Operator, as well as problems in the common helm charts, but cannot not offer any SLAs at this time. -See also our standard disclaimer - -. Validated Patterns *DO NOT* imply an obligation of support for partner or community operators by Red Hat. - -[id="should"] -=== Should - -. Validated Patterns SHOULD focus on functionality not performance. -. Validated Patterns SHOULD trigger CI runs for new versions of consumed products -. Validated Patterns SHOULD provide an RHPDS lab environment + -A bare bones environment into which the solution can be deployed, and a list of instructions for doing so (e.g. installing and configuring OpenShift GitOps) - -. Validated Patterns SHOULD provide pre-built demo environment using RHPDS +The validated patterns team is very motivated to address any problems in the VP Operator, as well as problems in the common helm charts, but cannot not offer any SLAs at this time. + -Having an automated demo within the RHPDS system, that will be built based on the current stable version that is run against the CI testing system +TODO: Create an aDoc version of our support statement slide -. Validated Patterns SHOULD track deployments of each validation-level deliverable -+ -For lifecycle decisions like discontinuing support of a version -For notification if problems are found in our CI +. Maintained Patterns *DO NOT* imply an obligation of support for partner or community operators by Red Hat. [id="can"] === Can . Teams creating Validated Patterns CAN provide their own SLA -+ -A document for QE that defines, at a technical level, how to validate if the pattern has been successfully deployed and is functionally operational. -Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index d44517a3b..3f10592a6 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -10,33 +10,55 @@ aliases: /requirements/sandbox/ :toc: -= Requirements for the Sandbox Tier += The Validated Patterns 'Sandbox' Tier [id="tldr"] == tl;dr -* TBA +The Sandbox tier is an inclusive and low-risk way to become associated with the Validated Patterns initiative. As long as the patterns framework is your starting point, and you include some minimal documentation, then you are welcome here. + +[id="onboarding-existing-implementations"] +== Onboarding Existing Implementations + +TODO: A short note on the value of converting existing implementations + +The Validated Patterns team has a preference for empowering other, and not +taking credit for their work. + +Where there is an existing application/demo, there is also a strong preference for the originating team to own any changes that are needed for the implementation to become a Validated Pattern. Alternatively, if the Validated Patterns team drives the conversion, then in order to prevent confusion and duplicated efforts, we are likely to ask for a commitment to phase out use of the previous implementation for future engagements such as demos, presentations, and workshops. + +The goal is to avoid bringing a parallel implementation into existence which divides engineering resources, and creates confusion internally and with customers as the implementations drift apart. + +In both scenarios the originating team can choose where to host the primary repository, will be given admin permissions to any fork in https://github.com/validatedpatterns , and will receive on-going assistance from the Validated Patterns team. [id="requirements"] == Requirements -General requirements for all Validated patterns +General requirements for all Validated Patterns -[id="base"] -=== Base +[id="must"] +=== Must -. Patterns *MUST* include a top-level README highlighting the business problem and how the pattern solves it -. Patterns *MUST* include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. -. Patterns *MUST* undergo an informal architecture review by a community leader to ensure that the solution has the right products, and they are generally being used as intended. +. Sandbox Patterns *MUST* continue to meet the following criteria to remain in the Sandbox tier +. Sandbox Patterns *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] +. Tested Patterns *MUST* be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning +. Sandbox Patterns *MUST* include a top-level README highlighting the business problem and how the pattern solves it +. Sandbox Patterns *MUST* include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. +. Sandbox Patterns *MUST* undergo an informal technical review by a community leader to ensure that it meets basic reuse standards +. Sandbox Patterns *MUST* undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. + For example: not using a database as a message bus. As community leaders, contributions from within Red Hat may be subject to a higher level of scrutiny. While we strive to be inclusive, the community will have quality standards and generally using the framework does not automatically imply a solution is suitable for the community to endorse/publish. - -. Patterns *MUST* undergo an informal technical review by a community leader to ensure that it conforms to the link:/requirements/implementation/[technical requirements] and meets basic reuse standards -. Patterns *MUST* document their support policy +. Sandbox Patterns *MUST* document their support policy + -REVIEW: It is anticipated that most community patterns will be supported by the community on a best-effort basis, but this should be stated explicitly. +It is anticipated that most sandbox patterns will be supported by the community on a best-effort basis, but this should be stated explicitly. The validated patterns team commits to maintaining the framework but will also accept help. -. Patterns SHOULD include a recorded demo highlighting the business problem and how the pattern solves it + +[id="can"] +=== Can + +. Sandbox Patterns (including works-in-progress) CAN be hosted in the https://gitops.com/validatedpatterns-sandbox GitHub organization +. Sandbox Patterns CAN be listed on the https://validatedpatterns.io site +. Sandbox Patterns meeting additional criteria CAN be nominated for promotion to the link:/requirements/tested/[Tested tier] diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index dee516804..8711e9753 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -2,120 +2,89 @@ menu: learn: parent: Workflow -title: Validated Patterns +title: Tested Patterns weight: 43 aliases: /requirements/tested/ --- :toc: -= Requirements for the Tested Tier += The Validated Patterns 'Tested' Tier [id="tldr"] == tl;dr -* TBA +The Tested tier is intended to provide consumers with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of OpenShift. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. -[id="onboarding-existing-implementations"] -== Onboarding Existing Implementations - -The Validated Patterns team has a preference for empowering other, and not -taking credit for their work. - -Where there is an existing application/demo, there is also a strong preference -for the originating team to own any changes that are needed for the -implementation to become a validated pattern. Alternatively, if the Validated -Patterns team drives the conversion, then in order to prevent confusion and -duplicated efforts, we are likely to ask for a commitment to phase out use of -the previous implementation for future engagements such as demos, presentations, -and workshops. +[id="nominating-a-community-pattern-to-become-Tested"] +=== Nominating a Sandbox Pattern for Promotion to Tested -The goal is to avoid bringing a parallel implementation into existence which -divides Red Hat resources, and creates confusion internally and with customers -as the implementations drift apart. +If there is a Sandbox pattern that you believe would be a good candidate for promotion to tested, you can make that case by emailing hybrid-cloud-patterns@googlegroups.com -In both scenarios the originating team can choose where to host the primary -repository, will be given admin permissions to any fork in -https://github.com/hybrid-cloud-patterns, -and will receive on-going assistance from the Validated Patterns team. +Please be aware that each Tested pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all Validated Patterns. -[id="nominating-a-community-pattern-to-become-validated"] -=== Nominating a Sandbox Pattern for Promotion to Tested +For this reason we have designed the tiers and our processes to facilitate this to occur outside of the team by any sufficiently motivated party, including other parts of Red Hat, partners, and even customers. -If there is a sandbox pattern that you believe would be a good candidate for -promotion to tested, please email hybrid-cloud-patterns@googlegroups.com at least -4 weeks prior to the end of a given quarter in order for the necessary work to be -considered as part of the following quarter's planning process. +In limited cases, the Validated Patterns team may consider taking on that work, however please get in contact at least 4 weeks prior to the end of a given quarter in order for the necessary work to be considered as part of the following quarter's planning process -Please be aware that each Validated Pattern represents an ongoing maintenance, support, -and CI effort. Finite team capacity means we must critically balance this cost against -the potential customer opportunity. A "`no`" or "`not yet`" result is not intended as an -insult against the pattern or its author. [id="requirements"] == Requirements -Validated Patterns have deliverable and requirements in addition to those -specified for link:/requirements/community/[Community-level] patterns +Tested Patterns have deliverable and requirements *in addition* to those +specified for the link:/requirements/sandbox/[Sandbox tier] [id="must"] === Must -. Validated Patterns *MUST* contain more than two RH products. Alternative: Engage with the BU -. Validated Patterns, or the solution on which they are based, *MUST* have been deployed and approved for use in at least one customer environment. +. Tested Patterns *MUST* continue to meet the following criteria to remain in the Tested tier +. Tested Patterns *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] +. Tested Patterns *MUST* be meaningful without specialized hardware, including flavors of architectures not explicitly supported. + -Alternative: link:/requirements/community[Community Pattern] +Qualification is a Validated Patterns TOC decision with input from the pattern owner. -. Validated Patterns *MUST* be meaningful without specialized hardware, including flavors of architectures not explicitly supported. Alternative: Engage with DCI +. Tested Patterns *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. +. Tested Patterns *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling +. Tested Patterns *MUST* include a script for others to follow when demonstrating how the pattern addresses a business problem +. Tested Patterns *MUST* include a test plan covering all features or attributes being highlighted by the demonstration script. Negative flow tests (such as resiliency or data retention in the presence of network outages) are limited to scenarios covered by the demonstration script. + -Qualification is a Validated Patterns engineering decision with input from the pattern owner. - -. Validated Patterns *MUST* be broadly applicable. Alternative: Engage with Phased Gate and/or TAMs -+ -Qualification is a Validated Patterns PM decision with input from the pattern owner. - -. Validated Patterns *MUST* only make use of Red Hat products that are already fully supported by their product team(s). -. Validated Patterns *MUST NOT* rely on functionality in tech-preview, or hidden behind feature gates. -. Validated Patterns *MUST* conform to the same Community-level link:/requirements/implementation/[implementation requirements] -. Validated Patterns *MUST* have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams`' intentions and roadmaps -. Validated Patterns *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. -. Validated Patterns *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling -. Validated Patterns *MUST* include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution -. Validated Patterns *MUST* include a recorded demo highlighting the business problem and how the pattern solves it -. Validated Patterns *MUST* include a test plan covering all features or attributes being highlighted by the demo that also spans multiple products. Negative flow tests (such as resiliency or data retention in the presence of network outages) are limited to scenarios covered by the demonstration script. -. Validated Patterns *MUST* include automated CI testing that runs on every change to the pattern, or a schedule no less frequently than once per week -. Validated Patterns *MUST* create a new point release of the validation-level deliverables when minor versions (e.g. "`12`" in OpenShift 4.12) of consumed products change -. Validated Patterns *MUST* document their support policy +The test plan *MUST* define how to validate if the pattern has been successfully deployed and is functionally operational. +Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] + -The individual products used in a Validated Pattern are backed by the full Red Hat support experience conditional on the customer's subscription to those products, and the individual products`' support policy. -Additional components in a Validated Pattern that are not supported by Red Hat (e.g. Hashicorp Vault, and Seldon Core) will require a customer to obtain support from that vendor directly. -The validated patterns team is very motivated to address any problems in the VP Operator, as well as problems in the common helm charts, but cannot not offer any SLAs at this time. -See also our standard disclaimer - -. Validated Patterns *DO NOT* imply an obligation of support for partner or community operators by Red Hat. +TODO: Convert above link to adoc + +. Tested Patterns *MUST* nominate at least one currently supported OpenShift release to test against +. Tested Patterns *MUST* ensure the test plan passes at least once per quarter +. Tested Patterns *MUST* create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. Eg. +[source,json] +---- + { + "schemaVersion":1, + "label":"gcp-4.13", + "message":"main", + "color":"green", + "jenkinsURL":"https://.../", + "infraProvider":"gcp", + "openshiftVersion":"4.13.14", + "debugInfo":"https://...tgz", + "date":"2023-10-03" + } +---- + +. Tested Patterns *DO NOT* imply an obligation of support for partner or community operators by Red Hat or the pattern owner. [id="should"] === Should -. Validated Patterns SHOULD focus on functionality not performance. -. Validated Patterns SHOULD trigger CI runs for new versions of consumed products -. Validated Patterns SHOULD provide an RHPDS lab environment -+ -A bare bones environment into which the solution can be deployed, and a list of instructions for doing so (e.g. installing and configuring OpenShift GitOps) - -. Validated Patterns SHOULD provide pre-built demo environment using RHPDS -+ -Having an automated demo within the RHPDS system, that will be built based on the current stable version that is run against the CI testing system - -. Validated Patterns SHOULD track deployments of each validation-level deliverable -+ -For lifecycle decisions like discontinuing support of a version -For notification if problems are found in our CI +. Tested Patterns SHOULD be broadly applicable. +. Tested Patterns SHOULD focus on functionality not performance. [id="can"] === Can -. Teams creating Validated Patterns CAN provide their own SLA +. Teams creating Tested Patterns CAN provide their own SLA + A document for QE that defines, at a technical level, how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] + +. Tested Patterns meeting additional criteria CAN be nominated for promotion to the link:/requirements/maintained/[Maintained tier] From aad46760e655eec3efd05342d0001ac21e3e03df Mon Sep 17 00:00:00 2001 From: Andrew Beekhof Date: Tue, 3 Oct 2023 09:59:29 +0000 Subject: [PATCH 03/15] Minor formatting fixes --- content/learn/maintained.adoc | 2 +- content/learn/tested.adoc | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index 806709a45..19156093b 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -20,7 +20,7 @@ include::modules/comm-attributes.adoc[] The Maintained tier is intended to provide consumers with additional "sales" collateral and reassurance that the pattern was known to be functional on all currently supported LTS versions of OpenShift. Inclusion in this tier may require additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. [id="nominating-a-community-pattern-to-become-validated"] -=== Nominating a Tested Pattern to become Maintained +== Nominating a Tested Pattern to become Maintained If there is a Tested pattern that you believe would be a good candidate for promotion to Maintained, you can make that case by emailing hybrid-cloud-patterns@googlegroups.com diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index 8711e9753..95648bdf5 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -2,7 +2,7 @@ menu: learn: parent: Workflow -title: Tested Patterns +title: Validated Patterns - Tested Tier weight: 43 aliases: /requirements/tested/ --- @@ -17,7 +17,7 @@ aliases: /requirements/tested/ The Tested tier is intended to provide consumers with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of OpenShift. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. [id="nominating-a-community-pattern-to-become-Tested"] -=== Nominating a Sandbox Pattern for Promotion to Tested +== Nominating a Sandbox Pattern for Promotion to Tested If there is a Sandbox pattern that you believe would be a good candidate for promotion to tested, you can make that case by emailing hybrid-cloud-patterns@googlegroups.com From 67c8fe39779952c3c832e7fb7804052f691ba64e Mon Sep 17 00:00:00 2001 From: Andrew Beekhof Date: Thu, 5 Oct 2023 01:58:57 +0000 Subject: [PATCH 04/15] Fix links --- content/learn/sandbox.adoc | 4 ++-- content/learn/tested.adoc | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index 3f10592a6..f7e1eeec8 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -22,7 +22,7 @@ The Sandbox tier is an inclusive and low-risk way to become associated with the TODO: A short note on the value of converting existing implementations -The Validated Patterns team has a preference for empowering other, and not +The Validated Patterns team has a preference for empowering others, and not taking credit for their work. Where there is an existing application/demo, there is also a strong preference for the originating team to own any changes that are needed for the implementation to become a Validated Pattern. Alternatively, if the Validated Patterns team drives the conversion, then in order to prevent confusion and duplicated efforts, we are likely to ask for a commitment to phase out use of the previous implementation for future engagements such as demos, presentations, and workshops. @@ -61,4 +61,4 @@ The validated patterns team commits to maintaining the framework but will also a . Sandbox Patterns (including works-in-progress) CAN be hosted in the https://gitops.com/validatedpatterns-sandbox GitHub organization . Sandbox Patterns CAN be listed on the https://validatedpatterns.io site -. Sandbox Patterns meeting additional criteria CAN be nominated for promotion to the link:/requirements/tested/[Tested tier] +. Sandbox Patterns meeting additional criteria CAN be nominated for promotion to the link:/learn/tested/[Tested tier] diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index 95648bdf5..932d7caa7 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -87,4 +87,4 @@ TODO: Convert above link to adoc A document for QE that defines, at a technical level, how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] -. Tested Patterns meeting additional criteria CAN be nominated for promotion to the link:/requirements/maintained/[Maintained tier] +. Tested Patterns meeting additional criteria CAN be nominated for promotion to the link:/learn/maintained/[Maintained tier] From ab10e8614152dd2471bf0ce280f23562df44a2c2 Mon Sep 17 00:00:00 2001 From: Andrew Beekhof Date: Mon, 9 Oct 2023 23:13:55 +0000 Subject: [PATCH 05/15] Update for the renamed google group --- content/learn/maintained.adoc | 2 +- content/learn/tested.adoc | 6 +++--- modules/edd-deploying-edd-pattern.adoc | 14 +++++++++++--- 3 files changed, 15 insertions(+), 7 deletions(-) diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index 19156093b..b7a4ed508 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -22,7 +22,7 @@ The Maintained tier is intended to provide consumers with additional "sales" col [id="nominating-a-community-pattern-to-become-validated"] == Nominating a Tested Pattern to become Maintained -If there is a Tested pattern that you believe would be a good candidate for promotion to Maintained, you can make that case by emailing hybrid-cloud-patterns@googlegroups.com +If there is a Tested pattern that you believe would be a good candidate for promotion to Maintained, you can make that case by emailing validatedpatterns@googlegroups.com Please be aware that each Maintained pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all Validated Patterns. diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index 932d7caa7..a09dfe7a1 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -19,7 +19,7 @@ The Tested tier is intended to provide consumers with additional collateral and [id="nominating-a-community-pattern-to-become-Tested"] == Nominating a Sandbox Pattern for Promotion to Tested -If there is a Sandbox pattern that you believe would be a good candidate for promotion to tested, you can make that case by emailing hybrid-cloud-patterns@googlegroups.com +If there is a Sandbox pattern that you believe would be a good candidate for promotion to tested, you can make that case by emailing validatedpatterns@googlegroups.com Please be aware that each Tested pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all Validated Patterns. @@ -45,8 +45,8 @@ Qualification is a Validated Patterns TOC decision with input from the pattern o . Tested Patterns *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. . Tested Patterns *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling -. Tested Patterns *MUST* include a script for others to follow when demonstrating how the pattern addresses a business problem -. Tested Patterns *MUST* include a test plan covering all features or attributes being highlighted by the demonstration script. Negative flow tests (such as resiliency or data retention in the presence of network outages) are limited to scenarios covered by the demonstration script. +. Tested Patterns *MUST* include a written guide for others to follow when demonstrating how the pattern addresses a business problem +. Tested Patterns *MUST* include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. + The test plan *MUST* define how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] diff --git a/modules/edd-deploying-edd-pattern.adoc b/modules/edd-deploying-edd-pattern.adoc index a539f499b..e6afcaddc 100644 --- a/modules/edd-deploying-edd-pattern.adoc +++ b/modules/edd-deploying-edd-pattern.adoc @@ -6,14 +6,14 @@ == Prerequisites -. An OpenShift cluster (Go to https://console.redhat.com/openshift/create[the OpenShift console]). Cluster must have a dynamic StorageClass to provision PersistentVolumes. +. An OpenShift cluster (Go to https://console.redhat.com/openshift/create[the OpenShift console]). Cluster must have a dynamic StorageClass to provision PersistentVolumes. // See also link:../../emerging-disease-detection/cluster-sizing[sizing your cluster]. . A GitHub account (and a token for it with repositories permissions, to read from and write to your forks) For installation tooling dependencies, see link:https://validatedpatterns.io/learn/quickstart/[Patterns quick start]. The use of this pattern depends on having a Red Hat OpenShift cluster. In this version of the validated pattern -there is no dedicated Hub / Edge cluster for the *Emerging Disease Detection* pattern. This single node pattern can be extend as a managed cluster(s) to a central hub. +there is no dedicated Hub / Edge cluster for the *Emerging Disease Detection* pattern. This single node pattern can be extend as a managed cluster(s) to a central hub. // See link:../../emerging-disease-detection/ideas-for-customization[ideas for customization.] If you do not have a running Red Hat OpenShift cluster you can start one on a @@ -65,7 +65,7 @@ secrets: - name: kieserver_user_password value: kieserver - name: psql_passwd - value: rhpam + value: rhpam - name: fhir-psql-db vaultPrefixes: @@ -215,3 +215,11 @@ The most important ArgoCD instance to examine at this point is `emerging-disease . Check all applications are synchronised. There are thirteen different ArgoCD "applications" deployed as part of this pattern. +[id="viewing-the-sepsis-application-dashboard-getting-started"] +== Viewing the Sepsis Detection dashboard +TO-DO: Describe how to examine the various parts of the Sepsis application + += Next Steps + +link:https://groups.google.com/g/validatedpatterns[Help & Feedback] +link:https://github.com/validatedpatterns/emerging-disease-detection/issues[Report Bugs] From e15eee74173e6b3359af51683b078c69a823f393 Mon Sep 17 00:00:00 2001 From: Andrew Beekhof Date: Mon, 9 Oct 2023 23:51:18 +0000 Subject: [PATCH 06/15] Document the json test artefacts --- content/learn/test-artefacts.adoc | 84 +++++++++++++++++++++++++++++++ content/learn/tested.adoc | 19 +------ 2 files changed, 86 insertions(+), 17 deletions(-) create mode 100644 content/learn/test-artefacts.adoc diff --git a/content/learn/test-artefacts.adoc b/content/learn/test-artefacts.adoc new file mode 100644 index 000000000..60a6f5095 --- /dev/null +++ b/content/learn/test-artefacts.adoc @@ -0,0 +1,84 @@ +--- +menu: + learn: + parent: Workflow +title: Testing Artefacts +weight: 50 +aliases: /requirements/tested/ +--- + +:toc: + += Testing Artefacts + +In order to be represented in the CI dashboard, testers can create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. + +== File Naming + +`{pattern}-{platform}-{openshift version}-stable-badge.json` + +Example: `medicaldiag-nutanix-4.13-stable-badge.json` + +Note: OpenShift verion should be `major.minor` only + +== File Contents + +[source,json] +---- + { + "schemaVersion":1, + "label":"{text}", + + /* For now we assume `message` is the same as patternBranch */ + "message":"{text}", + + /* passed => green, test failed => red, test setup failed => yellow */ + "color":"{test result color}", + + /* eg. x.y.z */ + "openshiftVersion":"{full openshift version}", + + /* eg. AWS, GCP, Nutanix, ... */ + "infraProvider":"{platform}", + + /* Official repo of the pattern, eg. https://github.com/validatedpatterns/multicloud-gitops */ + "patternRepo": "{text}", + + /* eg. main, stable-N.M */ + "patternBranch": "{text}", + + "date":"{YYYY-MM-DD}", + + /* Who ran the test eg. Red Hat */ + "testSource": "{company name}", + + /* eg. Job number */ + "testID": "{unique id}", + + /* if publically available */ + "jenkinsURL":"{path to job}", + + "debugInfo":"{location of must-gather tarball}", + } +---- + +=== Example + +[source,json] +---- + { + "schemaVersion":1, + "label":"MCG on Nutanix", + "message":"main", + "color":"green", + "openshiftVersion":"4.13.14", + "infraProvider":"Nutanix", + "patternRepo": "https://github.com/validatedpatterns/multicloud-gitops", + "patternBranch": "main", + "date":"2023-10-23", + "testSource": "Red Hat" + "testID": "13602", + "jenkinsURL":"https://jenkins/job/ValidatedPatterns/job/MedicalDiagnosis/job/medicaldiag-gcp-ocp4.13/37/", + "debugInfo":"https://storage.cloud.google.com/.../medicaldiag-gcp-ocp4.13.15-13602.tgz", + } +---- \ No newline at end of file diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index a09dfe7a1..17dda29d3 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -45,7 +45,7 @@ Qualification is a Validated Patterns TOC decision with input from the pattern o . Tested Patterns *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. . Tested Patterns *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling -. Tested Patterns *MUST* include a written guide for others to follow when demonstrating how the pattern addresses a business problem +. Tested Patterns *MUST* include a written guide for others to follow when demonstrating the pattern . Tested Patterns *MUST* include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. + The test plan *MUST* define how to validate if the pattern has been successfully deployed and is functionally operational. @@ -55,22 +55,7 @@ TODO: Convert above link to adoc . Tested Patterns *MUST* nominate at least one currently supported OpenShift release to test against . Tested Patterns *MUST* ensure the test plan passes at least once per quarter -. Tested Patterns *MUST* create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. Eg. -[source,json] ----- - { - "schemaVersion":1, - "label":"gcp-4.13", - "message":"main", - "color":"green", - "jenkinsURL":"https://.../", - "infraProvider":"gcp", - "openshiftVersion":"4.13.14", - "debugInfo":"https://...tgz", - "date":"2023-10-03" - } ----- - +. Tested Patterns *MUST* create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. See link:/learn/test-artefacts/[testing artefacts] . Tested Patterns *DO NOT* imply an obligation of support for partner or community operators by Red Hat or the pattern owner. [id="should"] From 42f8beefecbcfa8a335ddfc95f2fc2a13c2589bc Mon Sep 17 00:00:00 2001 From: Avani Bhatt Date: Tue, 17 Oct 2023 00:45:27 +0100 Subject: [PATCH 07/15] Validated Patterns tier naming updates - building on Andrew's PR319 --- content/learn/maintained.adoc | 50 +-- content/learn/sandbox.adoc | 52 ++- content/learn/tested.adoc | 62 ++- modules/comm-attributes.adoc | 9 +- modules/comm-vp-manuela-deployment.adoc | 570 ++++++++++++++++++++++++ 5 files changed, 657 insertions(+), 86 deletions(-) create mode 100644 modules/comm-vp-manuela-deployment.adoc diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index b7a4ed508..7a482281c 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -12,56 +12,54 @@ aliases: /requirements/validated/ :_content-type: ASSEMBLY include::modules/comm-attributes.adoc[] -= The Validated Patterns 'Maintained' Tier +[id="about-maintained-tier"] += About the {maintained-tier} -[id="tldr"] -== tl;dr - -The Maintained tier is intended to provide consumers with additional "sales" collateral and reassurance that the pattern was known to be functional on all currently supported LTS versions of OpenShift. Inclusion in this tier may require additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. +The {maintained-tier} is intended to provide consumers with additional "sales" collateral and reassurance that the pattern was known to be functional on all currently supported LTS versions of OpenShift. Inclusion in this tier may require additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. [id="nominating-a-community-pattern-to-become-validated"] -== Nominating a Tested Pattern to become Maintained +== Nominating a maintained pattern to become validated pattern -If there is a Tested pattern that you believe would be a good candidate for promotion to Maintained, you can make that case by emailing validatedpatterns@googlegroups.com +If there is a maintained pattern that you believe would be a good candidate for promotion to validated pattern, you can make that case by mailing mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. -Please be aware that each Maintained pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all Validated Patterns. +Please be aware that each Maintained pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all {solution-name-upstream}. For this reason we have designed the tiers and our processes to facilitate this to occur outside of the team by any sufficiently motivated party, including other parts of Red Hat, partners, and even customers. -In limited cases, the Validated Patterns team may consider taking on that work, however please get in contact at least 4 weeks prior to the end of a given quarter in order for the necessary work to be considered as part of the following quarter's planning process +In limited cases, the {solution-name-upstream} team may consider taking on that work, however please get in contact at least 4 weeks prior to the end of a given quarter in order for the necessary work to be considered as part of the following quarter's planning process -[id="requirements"] +[id="requirements-maintained-tier"] == Requirements -Validated Patterns have deliverable and requirements *in addition* to those +{solution-name-upstream} have deliverable and requirements *in addition* to those specified for the link:/requirements/tested/[Tested tier] -[id="must"] +[id="must-maintained-tier"] === Must -. Maintained Patterns *MUST* continue to meet the following criteria to remain in Maintained Tested tier -. Maintained Patterns *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] -. Maintained Patterns *MUST* only make use of components that are either supported, or easily substitued for supportable equivalents (eg. HashiCorp vault which has community and enterprise variants) -. Maintained Patterns *MUST NOT* rely on functionality in tech-preview, or hidden behind feature gates -. Maintained Patterns *MUST* have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams` intentions and roadmaps -. Maintained Patterns *MUST* include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution -. Maintained Patterns *MUST* include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week -. Maintained Patterns *MUST* be tested on all currently supported OpenShift LTS releases -. Maintained Patterns *MUST* fix breakage in a "timely" manner -. Maintained Patterns *MUST* document their support policy +. {maintained-pattern} *MUST* continue to meet the following criteria to remain in Maintained Tested tier +. {maintained-pattern} *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] +. {maintained-pattern} *MUST* only make use of components that are either supported, or easily substitued for supportable equivalents (eg. HashiCorp vault which has community and enterprise variants) +. {maintained-pattern} *MUST NOT* rely on functionality in tech-preview, or hidden behind feature gates +. {maintained-pattern} *MUST* have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams` intentions and roadmaps +. {maintained-pattern} *MUST* include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution +. {maintained-pattern} *MUST* include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week +. {maintained-pattern} *MUST* be tested on all currently supported OpenShift LTS releases +. {maintained-pattern} *MUST* fix breakage in a "timely" manner +. {maintained-pattern} *MUST* document their support policy + The individual products used in a Validated Pattern are backed by the full Red Hat support experience conditional on the customer's subscription to those products, and the individual products`' support policy. + Additional components in a Validated Pattern that are not supported by Red Hat (e.g. Hashicorp Vault, and Seldon Core) will require a customer to obtain support from that vendor directly. + -The validated patterns team is very motivated to address any problems in the VP Operator, as well as problems in the common helm charts, but cannot not offer any SLAs at this time. +The {solution-name-upstream} team is very motivated to address any problems in the VP Operator, as well as problems in the common helm charts, but cannot not offer any SLAs at this time. + TODO: Create an aDoc version of our support statement slide -. Maintained Patterns *DO NOT* imply an obligation of support for partner or community operators by Red Hat. +. {maintained-pattern} *DO NOT* imply an obligation of support for partner or community operators by Red Hat. -[id="can"] +[id="can-maintained-tier"] === Can -. Teams creating Validated Patterns CAN provide their own SLA +. Teams creating {solution-name-upstream} CAN provide their own SLA diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index f7e1eeec8..7335755f2 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -10,55 +10,53 @@ aliases: /requirements/sandbox/ :toc: -= The Validated Patterns 'Sandbox' Tier +[id="about-sandbox-tier"] += About the {sandbox-tier} -[id="tldr"] -== tl;dr - -The Sandbox tier is an inclusive and low-risk way to become associated with the Validated Patterns initiative. As long as the patterns framework is your starting point, and you include some minimal documentation, then you are welcome here. +The {sandbox-tier} is an inclusive and low-risk way to become associated with the {solution-name-upstream} project. The minimum requirement to qualify for the {sandbox-tier} is that you must start with the patterns framework and include some minimal documentation. [id="onboarding-existing-implementations"] -== Onboarding Existing Implementations +== Onboarding existing implementations -TODO: A short note on the value of converting existing implementations +//TODO: A short note on the value of converting existing implementations -The Validated Patterns team has a preference for empowering others, and not +The {solution-name-upstream} team has a preference for empowering others, and not taking credit for their work. -Where there is an existing application/demo, there is also a strong preference for the originating team to own any changes that are needed for the implementation to become a Validated Pattern. Alternatively, if the Validated Patterns team drives the conversion, then in order to prevent confusion and duplicated efforts, we are likely to ask for a commitment to phase out use of the previous implementation for future engagements such as demos, presentations, and workshops. +Where there is an existing application/demo, there is also a strong preference for the originating team to own any changes that are needed for the implementation to become a validated pattern. Alternatively, if the {solution-name-upstream} team drives the conversion, then in order to prevent confusion and duplicated efforts, we are likely to ask for a commitment to phase out use of the previous implementation for future engagements such as demos, presentations, and workshops. The goal is to avoid bringing a parallel implementation into existence which divides engineering resources, and creates confusion internally and with customers as the implementations drift apart. -In both scenarios the originating team can choose where to host the primary repository, will be given admin permissions to any fork in https://github.com/validatedpatterns , and will receive on-going assistance from the Validated Patterns team. +In both scenarios the originating team can choose where to host the primary repository, will be given admin permissions to any fork in link:https://github.com/validatedpatterns[https://github.com/validatedpatterns], and will receive on-going assistance from the {solution-name-upstream} team. -[id="requirements"] +[id="requirements-sandbox-tier"] == Requirements -General requirements for all Validated Patterns +General requirements for all {solution-name-upstream} -[id="must"] +[id="must-sandbox-tier"] === Must -. Sandbox Patterns *MUST* continue to meet the following criteria to remain in the Sandbox tier -. Sandbox Patterns *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] -. Tested Patterns *MUST* be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning -. Sandbox Patterns *MUST* include a top-level README highlighting the business problem and how the pattern solves it -. Sandbox Patterns *MUST* include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. -. Sandbox Patterns *MUST* undergo an informal technical review by a community leader to ensure that it meets basic reuse standards -. Sandbox Patterns *MUST* undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. +. {sandbox-pattern} *MUST* continue to meet the following criteria to remain in the Sandbox tier +. {sandbox-pattern} *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] +. {sandbox-pattern} *MUST* be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning +. {sandbox-pattern} *MUST* include a top-level README highlighting the business problem and how the pattern solves it +. {sandbox-pattern} *MUST* include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. +. {sandbox-pattern} *MUST* undergo an informal technical review by a community leader to ensure that it meets basic reuse standards +. {sandbox-pattern} *MUST* undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. + For example: not using a database as a message bus. As community leaders, contributions from within Red Hat may be subject to a higher level of scrutiny. While we strive to be inclusive, the community will have quality standards and generally using the framework does not automatically imply a solution is suitable for the community to endorse/publish. -. Sandbox Patterns *MUST* document their support policy +. {sandbox-pattern} *MUST* document their support policy + -It is anticipated that most sandbox patterns will be supported by the community on a best-effort basis, but this should be stated explicitly. -The validated patterns team commits to maintaining the framework but will also accept help. +It is anticipated that most{sandbox-pattern} will be supported by the community on a best-effort basis, but this should be stated explicitly. +The {solution-name-upstream} team commits to maintaining the framework but will also accept help. -[id="can"] +[id="can-sandbox-tier"] === Can -. Sandbox Patterns (including works-in-progress) CAN be hosted in the https://gitops.com/validatedpatterns-sandbox GitHub organization -. Sandbox Patterns CAN be listed on the https://validatedpatterns.io site -. Sandbox Patterns meeting additional criteria CAN be nominated for promotion to the link:/learn/tested/[Tested tier] +. {sandbox-pattern} (including works-in-progress) CAN be hosted in the link:https://github.com/validatedpatterns-sandbox[https://github.com/validatedpatterns-sandbox] GitHub organization +. {sandbox-pattern} CAN be listed on the link:https://validatedpatterns.io[https://validatedpatterns.io] site +. {sandbox-pattern} meeting additional criteria CAN be nominated for promotion to the link:/learn/tested/[Tested tier] diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index 17dda29d3..a1f48189d 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -9,67 +9,65 @@ aliases: /requirements/tested/ :toc: -= The Validated Patterns 'Tested' Tier +[id="about-tested-tier"] += About the {tested-tier} -[id="tldr"] -== tl;dr +The {tested-tier} provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or a sufficiently motivated Subject Matter Expert (SME). -The Tested tier is intended to provide consumers with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of OpenShift. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. +[id="nominating-a-community-pattern-to-become-maintained"] +== Nominating a Tested pattern for promotion to Maintained -[id="nominating-a-community-pattern-to-become-Tested"] -== Nominating a Sandbox Pattern for Promotion to Tested +If there is a Tested pattern that you believe would be a good candidate for promotion to Maintained, you can make that case by mailing mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. -If there is a Sandbox pattern that you believe would be a good candidate for promotion to tested, you can make that case by emailing validatedpatterns@googlegroups.com - -Please be aware that each Tested pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all Validated Patterns. +Please be aware that each Tested pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all {solution-name-upstream}. For this reason we have designed the tiers and our processes to facilitate this to occur outside of the team by any sufficiently motivated party, including other parts of Red Hat, partners, and even customers. -In limited cases, the Validated Patterns team may consider taking on that work, however please get in contact at least 4 weeks prior to the end of a given quarter in order for the necessary work to be considered as part of the following quarter's planning process +In limited cases, the {solution-name-upstream} team may consider taking on that work, however please get in contact at least 4 weeks prior to the end of a given quarter in order for the necessary work to be considered as part of the following quarter's planning process -[id="requirements"] +[id="requirements-tested-tier"] == Requirements -Tested Patterns have deliverable and requirements *in addition* to those +{tested-pattern} have deliverable and requirements *in addition* to those specified for the link:/requirements/sandbox/[Sandbox tier] -[id="must"] +[id="must-tested-tier"] === Must -. Tested Patterns *MUST* continue to meet the following criteria to remain in the Tested tier -. Tested Patterns *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] -. Tested Patterns *MUST* be meaningful without specialized hardware, including flavors of architectures not explicitly supported. +. {tested-pattern} *MUST* continue to meet the following criteria to remain in the {tested-tier} +. {tested-pattern} *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] +. {tested-pattern} *MUST* be meaningful without specialized hardware, including flavors of architectures not explicitly supported. + -Qualification is a Validated Patterns TOC decision with input from the pattern owner. +Qualification is a {solution-name-upstream} TOC decision with input from the pattern owner. -. Tested Patterns *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. -. Tested Patterns *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling -. Tested Patterns *MUST* include a written guide for others to follow when demonstrating the pattern -. Tested Patterns *MUST* include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. +. {tested-pattern} *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. +. {tested-pattern} *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling +. {tested-pattern} *MUST* include a written guide for others to follow when demonstrating the pattern +. {tested-pattern} *MUST* include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. + The test plan *MUST* define how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] + -TODO: Convert above link to adoc +//TODO: Convert above link to adoc -. Tested Patterns *MUST* nominate at least one currently supported OpenShift release to test against -. Tested Patterns *MUST* ensure the test plan passes at least once per quarter -. Tested Patterns *MUST* create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. See link:/learn/test-artefacts/[testing artefacts] -. Tested Patterns *DO NOT* imply an obligation of support for partner or community operators by Red Hat or the pattern owner. +. {tested-pattern} *MUST* nominate at least one currently supported OpenShift release to test against +. {tested-pattern} *MUST* ensure the test plan passes at least once per quarter +. {tested-pattern} *MUST* create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. See link:/learn/test-artefacts/[testing artefacts] +. {tested-pattern} *DO NOT* imply an obligation of support for partner or community operators by Red Hat or the pattern owner. -[id="should"] +[id="should-tested-tier"] === Should -. Tested Patterns SHOULD be broadly applicable. -. Tested Patterns SHOULD focus on functionality not performance. +. {tested-pattern} SHOULD be broadly applicable. +. {tested-pattern} SHOULD focus on functionality not performance. -[id="can"] +[id="can-tested-tier"] === Can -. Teams creating Tested Patterns CAN provide their own SLA +. Teams creating {tested-pattern} CAN provide their own SLA + A document for QE that defines, at a technical level, how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] -. Tested Patterns meeting additional criteria CAN be nominated for promotion to the link:/learn/maintained/[Maintained tier] +. {tested-pattern} meeting additional criteria CAN be nominated for promotion to the link:/learn/maintained/[Maintained tier] diff --git a/modules/comm-attributes.adoc b/modules/comm-attributes.adoc index add9e6eb6..78b5f3ac6 100644 --- a/modules/comm-attributes.adoc +++ b/modules/comm-attributes.adoc @@ -6,9 +6,16 @@ //:imagesdir: images //:prewrap!: :redhat: Red{nbsp}Hat -//Solution name +//Pattern names //:rh-solution-name: Validated Patterns :solution-name-upstream: Validated Patterns +:sandbox-pattern: Sandbox Patterns +:maintained-pattern: Maintained Patterns +:tested-pattern: Tested Patterns +//Validated Patterns tiers +:sandbox-tier: Sandbox tier +:maintained-tier: Maintained tier +:tested-tier: Tested tier //:solution-version: Update later when we start using versioned releases //Patterns :aeg-pattern: Ansible Edge GitOps pattern diff --git a/modules/comm-vp-manuela-deployment.adoc b/modules/comm-vp-manuela-deployment.adoc new file mode 100644 index 000000000..76ffeedb9 --- /dev/null +++ b/modules/comm-vp-manuela-deployment.adoc @@ -0,0 +1,570 @@ +== Introduction + +This document should help to validate an Manuela MVP deployment. Most steps are CLI commands with the expected positive outputs. + +== Logins + + +*HUB*: link://console-openshift-console.apps.edge-mgmt-hub.gcp.devcluster.openshift.com/dashboards[//console-openshift-console.apps.edge-mgmt-hub.gcp.devcluster.openshift.com/dashboards] + +[source,terminal] +---- +oc login -u kubeadmin -p ************* --server=//api.edge-mgmt-hub.gcp.devcluster.openshift.com:6443 --insecure-skip-tls-verify=+true+ +---- + +*EDGE*: link://console-openshift-console.apps.staging-edge.gcp.devcluster.openshift.com[//console-openshift-console.apps.staging-edge.gcp.devcluster.openshift.com] + +[source,terminal] +---- +oc login -u kubeadmin -p ************* --server=//api.staging-edge.gcp.devcluster.openshift.com:6443 --insecure-skip-tls-verify=+true+ +---- + +== Assumptions + + +Bootstrap is deployed: link:https://github.com/sa-mw-dach/manuela/blob/master/docs/BOOTSTRAP.md[https://github.com/sa-mw-dach/manuela/blob/master/docs/BOOTSTRAP.md] +Event Streaming from Edge to Core and filling the Data Lake is deployed: link://github.com/sa-mw-dach/manuela/blob/master/docs/module-event-streaming.md[//github.com/sa-mw-dach/manuela/blob/master/docs/module-event-streaming.md] + +== Environment + +=== Central data center (HUB) + +* manuela-ci +* manuela-tst-all + +* manuela-data-lake-central-kafka-cluster +* manuela-data-lake-central-s3-store +=== Factory (Edge) + + +* manuela-data-lake-factory-mirror-maker +* manuela-stormshift-line-dashboard +* manuela-stormshift-messaging +* manuela-stormshift-machine-sensor + +== Browse Ricky’s deployment + +=== HUB + +[source,terminal] +---- +oc get projects | grep manu +manuela-ci Active +manuela-data-lake-central-kafka-cluster Active +manuela-tst-all Active +---- + +=== EDGE + +[source,terminal] +---- +oc get projects | grep manu ++manuela-data-lake-central-s3-store Active++ +manuela-data-lake-factory-mirror-maker Active +manuela-stormshift-line-dashboard Active +manuela-stormshift-machine-sensor Active +manuela-stormshift-messaging Active+ +---- + + +== Basic dataflow check + +=== HUB: Basic check of manuela-tst-all (Test/Stage) + +==== Check `pods` + +[source,terminal] +---- +oc project manuela-tst-all +Now using project "manuela-tst-all" on server "https://api.edge-mgmt-hub.gcp.devcluster.openshift.com:6443". + +|=== + +==== View senor logs to validate that metrics are sent + + +|=== +| + +|=== + +==== View messaging logs to validate that metric are received and processed + + +|=== +|+oc logs -l app=messaging --since=10s -n manuela-tst-all + + +|=== + + +==== View Sensor data in dashboard + + +Get URL: +|=== +|echo+ http://$(oc get route line-dashboard -o jsonpath=++'{.spec.host}'++ -n manuela-tst-all )/sensors + +http://line-dashboard-manuela-tst-all.apps.edge-mgmt-hub.gcp.devcluster.openshift.com/sensors+ + +|=== +View sensor data in near real time + +http://line-dashboard-manuela-tst-all.apps.edge-mgmt-hub.gcp.devcluster.openshift.com/sensors[http://line-dashboard-manuela-tst-all.apps.edge-mgmt-hub.gcp.devcluster.openshift.com/sensors] + + +image::data:image/png;base64,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[] + + +=== EDGE: Basic check of manuela-stormshift (Prod) + + +|=== +|oc get projects | grep manu + +manuela-data-lake-central-s3-store Active +manuela-data-lake-factory-mirror-maker Active +manuela-stormshift-line-dashboard Active +manuela-stormshift-machine-sensor Active +manuela-stormshift-messaging Active + +|=== + +==== View senor logs to validate that metrocs are sent + +|=== +|oc get pods -n manuela-stormshift-machine-sensor + +NAME READY STATUS RESTARTS AGE +machine-sensor-1-db85ddfff-j69kj 1/1 Running 0 27h +machine-sensor-2-77fbc78d7d-wdgk4 1/1 Running 0 27h + +|=== + +|=== +|+oc logs -l application=machine-sensor-1 --since=10s -n manuela-stormshift-machine-sensor+ + +|=== + + +==== View messaging logs to validate that metric are received and processed + + +|=== +|oc get pods -n manuela-stormshift-messaging + +NAME READY STATUS RESTARTS AGE +amq-broker-operator-6884cfbfb-n668c 1/1 Running 0 30h +amq-streams-cluster-operator-v1.5.2-7db76b566d-d2ht8 1/1 Running 0 29h +anomaly-detection-predictor-0-anomaly-detection-787b4d8fb8cgkcx 2/2 Running 0 29h +broker-amq-mqtt-ss-0 1/1 Running 0 29h +camel-k-kit-btd0nula3thm5d2gomsg-1-build 0/1 Completed 0 29h +camel-k-operator-59fbcd7d66-ncwvp 1/1 Running 0 29h +manuela-kafka-cluster-entity-operator-747b69c5b7-22m69 3/3 Running 0 29h +manuela-kafka-cluster-kafka-0 2/2 Running 0 29h +manuela-kafka-cluster-kafka-1 2/2 Running 0 29h +manuela-kafka-cluster-kafka-2 2/2 Running 0 29h +manuela-kafka-cluster-zookeeper-0 1/1 Running 0 29h +manuela-kafka-cluster-zookeeper-1 1/1 Running 0 29h +manuela-kafka-cluster-zookeeper-2 1/1 Running 0 29h +messaging-6b7bd66db6-qxrnb 1/1 Running 0 29h +mqtt2kafka-integration-5f68b96b95-5v2mt 1/1 Running 0 29h +seldon-controller-manager-76d49f78b9-67fgh 1/1 Running 2 29h + +|=== + + +|=== +|+oc logs -l app=messaging --since=10s -n manuela-stormshift-messaging+ + +|=== + + +==== View Sensor data in dashboard + + +Get URL: + +|=== +|echo+ http://$(oc get route line-dashboard -o jsonpath=++'{.spec.host}'++ -n manuela-stormshift-line-dashboard )/sensors +http://line-dashboard-manuela-stormshift-line-dashboard.apps.staging-edge.gcp.devcluster.openshift.com/sensors+ + +|=== + +View sensor data in near real time + +http://line-dashboard-manuela-stormshift-line-dashboard.apps.staging-edge.gcp.devcluster.openshift.com/sensors[http://line-dashboard-manuela-stormshift-line-dashboard.apps.staging-edge.gcp.devcluster.openshift.com/sensors] + + + + + + +image::data:image/png;base64,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[] + + + +Note, number of charts depends on current configuration + + +== Basic Configuration GitOps check in PROD + + +=== Toggle Sensor 2 configuration + + +In GutHub, edit: + +https://github.com/redhat-edge-computing/manuela-gitops/blob/master/config/instances/manuela-stormshift/machine-sensor/machine-sensor-2-configmap.properties[https://github.com/redhat-edge-computing/manuela-gitops/blob/master/config/instances/manuela-stormshift/machine-sensor/machine-sensor-2-configmap.properties] + +Set: +SENSOR_TEMPERATURE_ENABLED=++true+ + +|=== +|MQTT_HOSTNAME=broker-amq-mqtt-all-0-svc-rte-manuela-stormshift-messaging.apps.staging-edge.gcp.devcluster.openshift.com +MQTT_PORT=80 +SENSOR_TEMPERATURE_ENABLED=+true+ + +|=== + + +Commit change. + +=== After some time a new temperature chart pops up: + + +image::data:image/png;base64,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[] + + + +=== Monitor the config change in ArgoCD + +https://argocd-server-argocd.apps.staging-edge.gcp.devcluster.openshift.com/applications/manuela-stormshift-machine-sensor[https://argocd-server-argocd.apps.staging-edge.gcp.devcluster.openshift.com/applications/manuela-stormshift-machine-sensor] + +(Sync manually if you cannot wait)https://argocd-server-argocd.apps.staging-edge.gcp.devcluster.openshift.com/applications/manuela-stormshift-machine-sensor + + +image::data:image/png;base64,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[] + + +=== Revert change to start clean for the next demo + + In GutHub, edit: + +https://github.com/redhat-edge-computing/manuela-gitops/blob/master/config/instances/manuela-stormshift/machine-sensor/machine-sensor-2-configmap.properties[https://github.com/redhat-edge-computing/manuela-gitops/blob/master/config/instances/manuela-stormshift/machine-sensor/machine-sensor-2-configmap.properties] + +Set: +SENSOR_TEMPERATURE_ENABLED=++false+ + +|=== +|MQTT_HOSTNAME=broker-amq-mqtt-all-0-svc-rte-manuela-stormshift-messaging.apps.staging-edge.gcp.devcluster.openshift.com +MQTT_PORT=80 +SENSOR_TEMPERATURE_ENABLED=+false+ + +|=== + +Commit change. + +== Pipeline build check + +In this test we .... + +* build the messaging component, +* deploy it in tst-all and +* deploy to production via a pull request + +=== Capture currently deployed container image + + +HUB: + +|=== +|+oc project manuela-tst-all+ + +|=== + + +EDGE: + +|=== +|oc project manuela-stormshift-messaging + +oc get pod -l app=messaging -o yaml | grep +"image:.*image"++ + image: image-registry.openshift-image-registry.svc:5000/manuela-stormshift-messaging/messaging:0.3.2-23 + image: image-registry.openshift-image-registry.svc:5000/manuela-stormshift-messaging/messaging:0.3.2-23+ + +|=== + + + +Run pipeline on HUB: + +|=== +|oc process -n manuela-ci build-iot-consumer | oc create -n manuela-ci -f - + +|=== + + +Watch the pipeline run in the UI: + +image::data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABSMAAAN1CAIAAAAL03k7AACAAElEQVR4XuzdB3BU5f/3/d888zz/ue977vnPf+Y3K0rvvYgQmhSliCCCNOkt9N4RCx3pTSSiIiJNUFB/iNJFhFACJCShJKETCAECgZBe9/lmL3M8ObvZbMLZkCXv1+xkzl7nOu26zibnk1P2X1YAAAAAAGCefxkLAAAAAADAMyBpAwAAAABgJpI2AAAAAABmImkDAAAAAGAmkjYAAAAAAGYiaQMAAAAAYCaSNgAAAAAAZiJpFzqhoaFTpkwxlgIAAAAAPIT5SfuDDz6w6FSqVKlLly7+/v7GerlJT09v1qzZ+vXrjSNclpKSsn///tTUVOOIwk3WuW7dusbSZ/DsLQkAAAAAcJ1bkna/fv3uZwkJCZk1a1aZMmUuX75srJqbOXPmHD9+3FjqsvDwcIn6cXFxxhGFm+lJW8ybN+/EiRPGUgAAAACAG7glaQ8dOtRQ2Llz5yVLlhgKMzIyDCXmImkDAAAAAApeASXtPn36fPrpp9asGLlr166GDRt26dJFSiQJyySVK1cuVarU+++/f+3aNW2q1q1bb9u2TQ0/ffp08uTJFStWLFeu3PDhwx88eKBVS0pKmj17dvXq1UuWLNm2bdvffvtNCnv27FmiRAlJ2iVsjhw5cunSpUqVKslPbUJFlvLZZ58NGjRIVqxRo0b79u27fPmyrIm8bdq06bFjx1S1+Pj4RYsWNWvWrHTp0nXq1Jk7d25aWpo2Bx8fn5EjR3p5eclUa9euVeX379+XFZCf6q2Q1ct1i/RJ29fXt1+/fjVr1ixbtmyHDh1cuQh/69at0rayyfJz1apV6uJ5fUsCAAAAANzK7Uk7OTl5y5YtEvwCAgKsthhZoUIFialSbrXdQizhU3J4aGhoRETEkiVLypcvHx4erqbV8qFk2jZt2sycOTMyMvLevXsff/yxRGIJ2FbbifFOnTq1a9fOz89Pxm7atElmKKnYandOW8YOGTJEfqq3GlmKzCE6OlqGZXJZVVl/9XbDhg2ShNWwrOq6devCwsJSUlLkp4RwLVHLHN555x0158DAQEnFv//+u9Vp0nayRfqkffLkyb179z558iQhIWHNmjXVq1dPTEzU5mZv0aJFtWrV2r17t8z28OHDsmLnz5+3PnPSln7R33uvZ3+pAgAAAAAUcW5J2sWLF6+QpVixYl5eXnv27FFjJUZWrlxZwqp6u3379vr166vUrUycOHHYsGFqWMuHUq1r165aHdGxY0f1iK+dO3fWrFnz6dOn+rGKi1ePG1Jo7dq1d+zYob2VcHvw4EHtrcbHx6dv375q2DCHKVOmjB8/3uo0aTvZIidXj5crVy4oKMhYmuX27dvafzQMnjFph4aGNm3a1BiyLRYplFHG2gAAAABQtLklaffp0yc8S0xMjH6sIUZOmDBB6uvGWw8dOiThVg1r+VCqST5vrFOnTp1Zs2ZZbclcxupm8I/8JW3D2zfeeEMF74yMjM8//7xFixYSL7t37z5kyJBOnTo5nGT58uX9+vWzOk3aTrZI30SSY2VWjRo1atmy5cyZMytWrOjr6yvly5Ytq6yjrsOX9fTy8tKWpfeMSdvqKGwTswEAAADAIbckbfv7tDWGpC05efr06brxmUm7Ro0aaljLhxNt9NU0Uj558mRjqY25Sfvrr79+66231CXiUVFRo0aNepak7WSLtCZKSkqqWbPm1q1bJeSnpaUdO3asbNmyKmnLRmU93D2Tur5d1lMyuWFuyrMnbWv2sE3MBgAAAICcPOekvXPnTi8vL/3V4xKb7a8el2pVq1ZVedJARtWuXdthnDY3aXt7e/v4+Gjl3333Xa5JW6JysWLF9Nd7a0nbyRZpTSRRtkyZMvpR1atXV0nbIXX1uMPLy01J2tassE3MBgAAAAAnnnPSzsjIaN++veTSS5cuSVBcunRpxYoVZUCN1fKhVHv33XclpgYEBDx48OCnn36SNK6eqq2eiNahQ4czZ87IhNu3b+/WrZu6DzwmJkaS9t69ex8+fCjD9+7dGzBggPzUlm5YisO3WtJes2aNjFJPCA8JCXnrrbdyTdqia9eu/fv3V48x27VrV9myZXPdIq2JZKrKlStv2bJFhhMSEr744ovixYs7Sdpi8eLFderU2bNnT0RExJEjRzp27Hjjxg2r3RoCAAAAANznOSdtq+3bs1z5li+JmjNmzKhatWqJEiXatGnzyy+/aNUkkapRJUuWfOedd/RfhbVkyZIKFSqUK1fOz89PwnytWrUcfsuXK0lbYvCsWbNq1qxZrVq1IUOGLFu2zJWkHRkZKcMyidT59ttv9d/yldMW6Zvo7NmzMok0TsOGDX/++Wfn57SVjRs3enl5yTwbN268fft2VUjSBgAAAIACY37SNhH5EAAAAADgcQpp0k5OTo6IiKhWrdr+/fuN4wAAAAAAKMQKadI+cOBAyZIl+/fvr33zNgAAAAAAHqGQJm0AAAAAADwUSRsAAAAAADORtAEAAAAAMBNJGwAAAAAAM5G0AQAAAAAwE0kbAAAAAAAzkbQBAAAAADATSRsAAAAAADORtAEAAAAAMBNJGwAAAAAAM5G0AQAAAAAwE0kbAAAAAAAzkbQBAAAAADDTv84CAAAAAADzcE4bAAAAAAAzkbQBAAAAADATSRsAAAAAADORtAEAAAAAMBNJGwAAAAAAM5G0AQAAAAAwE0kbAAAAAAAzkbQBAAAAADATSRsAAAAAADORtAEAAAAAMBNJGwAAAAAAM5G0AQAAAAAwE0kbAAAAAAAzkbQBAAAAADATSRsAAAAAADORtAEAAAAAMBNJGwAAAAAAM5G0AQAAAAAwE0kbAAAAAAAzkbQBAAAAADATSRsAAAAAADORtAEAAAAAMBNJGwAAAAAAM5G0AQAAAAAwE0kbAAAAAAAzkbQBAAAAADBTYU/atx8kxSemG0vhslu3bsXFxRlLX1xFbXsBAAAAFELmJ+3mH53/n5H+/7a96kwOWv7jnbT0DCmfvSn8q92Rxtq56TTv0uXbCTLQfvals2GxxtGu2X3i0X8NP6tWqfiYgO4LQ9U8C6fGjRuXyFKrVq0FCxakpaVJ+Ycffvj5558ba+embdu2ISEhMtC6dWs/Pz/jaNf8/PPPxYoVU6tUpkyZjh07hoaGGiu5bMqUKTK3l19+WebWpEkTHx+f1NRUYyU7iYmJxiIdrXG07QUAAACA58UtSftaxN859u7D5M7zQzbuvyfDQVfjtHLXaUn7kP/jp/GZgTMfJGmP9bmmhlNTM74/dL/RB8EpqZn5361Cwy77njhlLM2NJO3Lly+r4Tt37rRv337dunUyHBAQoJW7Tkuee/fujYmJMY52jSTtoUOHquGUlJTvvvuufv36ycnJ2Wu5SpK2zEEG0tPTL1682K5duwEDBmRkOOuOpUuXfvPNN8ZSHa1xSNoAAAAAnjv3Jm3hGxzTZ0mYbnzeaEn7WeiTttJ21sWLN+L1Je6wZPkqeeU1bOuTtjhy5EjXrl114/PGlOSpT9rKm2++GRQUpC9xnZa0FYnuzZo12759u66K0YIFC5wnbY0p2wsAAAAAz8LtSftoUEyfpZlJe/H225v231cD87aEe6+40uKjCzLqXvTfp0afxKaNWnOt2sTAVp9cCLr69622WtJWA0nJ6ZXGB37ze+SgFVek2v4zj1W1tPSMFTvu1J4cVG9q8E9/RalCjX3SbjfrYuCVuANnHk/48rpWWHxMgPx0uIi0tIwPvrn5+ofnm354fskPdxKTXbp1XDJ2PsK2IWkfPny4W7duMjB37lyVNmXgk08+6d27d5MmTWTU3bt3Vc3o6Ghvb++qVatKcA0IyNwWqy55qoGkpKTKlSv7+Pj06tVLqv3++++qWlpa2sKFC2vWrFm3bt1t27apQo190m7VqpW/v/+ePXtGjhypFZYpU0Z+5rQIjSFpC5lPp06d1PCuXbvq1atXvXr1GTNmSAiXkr59+8oMpURaRhYqW9GjR4+GDRvKqi5fvlxNpTWOtr3yVup7eXkNHz789u3bfy8JAAAAANzPvUn77sPk9+aFbDn4d8DWknb/ZZdVWJUMLKFXXTjcZ0nYt3szrzMPvRVff1pw9NPMe3ftk/Z/j/RXN2zfeZBUY2JgbELmJeU+u+6OWXMtOSXjcWxqh7mXfIOzXSatT9qSyXceiWr0QbCE55yStv0i/uP7cNbGW1bbxeeS5GVabSrn8hG2DVePt2vX7ttvv7VmT9oSNdV9y5KBJfSqS6+7du365ZdfysDFixclhT569MjqKGkXL15c3bAdHh4u8fXp06cyvGLFiiFDhiQnJ0tcf+utt44cOaJWQNEnbcnk33//ff369VNTU3NK2g4XobFP2lFRUZKlZeDUqVNNmza9e/euzHzy5MmffvqpqqA/px0ZGSl5WwaePHnSqFGjc+fOWe2StrRb69at1fXtBw8eJGkDAAAAKEhuSdqlxgSUG3dOXg2nBX/2c4TtgWjZkrYaUCRgB16Ju3E3sc3Mi1rhih131N3d9km70vhArVrPRaHq7Perk4NUMhfHz8cMX31Vq2O1JW3LqADJzPIqNjqg/exL6n8BOSVt+0XIHLxXXrn7MD93Jmth2zgiB5K0y5UrV8GmXr16S5YsSU/P/K+EPmnrL6WWgC3J8+rVqy1atNAKFy5cqO7utk/aKtMqnTt3Vme/a9eurZK5OHr06MCBA7U6VlvSLlmyZHWb0qVLS4hV/wvIKWk7XITGPmk/ePBATTJ8+HDtHHh8fHytWrXUcE5Xj0+fPl2dgTck7YiICC8vrwsXLji//RsAAAAA3MEtSdvhk89yStozvrslOdY3OKb25KB+S8PUq/P8kDX/ybwo2nnS9l5x5UxobEpqhgRpbdreS8IkFWt1rNnPaf/0V9SgFX+PdSVpq0WkZ1i/+T2y07yQJtPPL9x2Wz1N3RXPeE5bL6ekPXXq1J9++unIkSM1a9Z8P0v79u3VldXOk3bv3r1PnTqVnJwsQVqbtkuXLn369NHqWLOf05Zk26tXLzXsStJWi9DeWh0lbZlPhw4dZEBW+91339XWpEmTJup8uD5ph4eHe3t7v/feewMHDpQYv3nzZqtd0rbangDXo0ePunXrDhkyRJK8tiwAAAAAcLfnn7S7LQg5dzn2VmSi5Nh/amdxJWnLQMNpwXE5f+22PmlLLH91cpCa55/nngz/7J+z306StvY2MTl96Kqr2v3hzuUjZlvznrQlmp49e/b69etvv/32P7WzuJK0ZaBevXqxsTl+iZo+aUssr127tprnwYMHBwwYoFXLX9JOTU1t0aKFCsyS2w8fPvxP1Sz6pN29e3dZrtW2JsOHD88paSvp6emrV6/+6KOPtBIAAAAAcLfnk7S7Lgh5+CQ1I8O65eD9drMuqjPEg1ZcWfvr3bT0DEmzvx5/qC77dTFpf7U7cvjqq0/jM082Hzjz+ElsmlbHavdEtC93R0766oYMRD5KrjkpSNbEakvdTpL2qUtPpYLVdp92/2WXT17MduNxTvIRs62uJe0OHTpERUVlZGRs2LChZcuW6vLyXr16ffbZZ2lpaQkJCTt37lQXTruYtD///POBAwfGxMTIrPbs2RMdHa3Vsdo9EU2y66hRo2QgIiKiRo0asiZWW+rOR9IODQ2VbZE6ahP8/f2bNm167VpmZwUGBgYHB6tqK1asmDdvntUWy999992TJ09abUm7T58+DpP2vXv31q1bp76me/ny5YsXL1bzAQAAAIAC8HyS9qxNtyRsV5sY2Ff37HHJyRKAJeU2nBYsdZJsj0xzMWlLwP5i112Jza9ODpJQLRFaq2O1S9qyoErjz6mbrn/880GLjy4MXH7lhz8fOEnat+4lDl555Y2PL8hLFqSNde7Zv09bT5+0p0+fLgG1atWq3bt31549LjlZArCk3Hr16kkdSbxWl5O2BN2VK1dKbK5du7aEaonQWh2rXdKWBclM7ty5I8Nbtmxp0qRJz549JfG6nrRfeeWVEiVKlCpVSjZWcrt6xriyb9++Bg0aVK9eXRL1mTNnVOGVK1e8vLyqVKkiUVzit2xL+/btZZUGDx7sMGnHxsZKEzW1GTFiREKCgx0SAAAAANzE/KSdK8PV48grw9XjAAAAAIBChaTteUjaAAAAAFCYkbQ9D0kbAAAAAAqz55C0AQAAAAB4gZG0AQAAAAAwE0kbAAAAAAAzkbQBAAAAADATSRsAAAAAADORtAEAAAAAMBNJGwAAAAAAM5G0AQAAAAAwE0kbAAAAAAAzkbQBAAAAADATSRsAAAAAADORtAEAAAAAMBNJGwAAAAAAM5G0AQAAAAAwE0kbAAAAAAAzFd2knZCQYCwyW1paWkZGhrE0BwWwPvkjm5CYmGgsBZAv8oH65ptvmjVrVqJEiTJlysyfP99YAwAAAJ6vKCbt7du3N23atGXLlsYRz+D7778vX778lClT1NsLFy507969XLlyT548yV7RgSVLltSrV2/YsGHGEYVAv379Kleu/N133xlHeKbg4OBatWq1a9cuNjbWOA4oEPPmzbPojBkzxlgDAAAAnq8oJu0PPvhADnDfeOMN44hn0Lp1a3XcHBMTI29//fVX9daVpN2pUyepOXToUOOIQkBtRZ6SdlhY2MKFC939j4O//vpr+vTpy5cvN45watasWWqL9u7daxzngvwtFNDExsaWKFFC9sBWrVodOnTI38ZYCQAAAJ7P7Un7R///jN428Z2Vb70x77Xmc+qY+5J5ypxl/rIU44Jz5o6kvWbNGpln37591duinLSXLFkik9StW9c4wlSq0fJ6PvDEiROlS5euV6/eo0ePjONckL+FApqzZ8+qz9Tx48eN4wAAAPACcWPSlvQrMdg+HrvpJctyMW+7I2mL+Ph4bZikXTiTtkhKSkpPTzeWuibfCwWUo0ePqs/U9evXjeNyk5ycHBsb+/jx40eeTNZftkK2xbh5AAAALxZ3Je1Zvy2wD8MF8JLlGlfFjpuSth5Ju9Am7WfxXBaKF8lff/2lPlN5StqpqakxMTHGzOrhZItku4ybCgAA8KJwS9J+XjFbvXIN21rSvnXr1pQpUyQTlihRonbt2qNHj75w4YK+Znh4uDosluNjfbno3bu3lPfr10+9NaT3nJL2lStXJk2apJZYvXr1YcOG+fv75yNph4SEzJ8/v23bthUrVnzllVeqVasma3Ly5El9naZNm8psP/74Y19fX1nbSpUqyUKl0MfHx+EB7pEjR/r371+1alWp5uXl9cknn0RERKitcCVp379/X1W299lnn2nVQkNDx44dW6dOHVnKq6++Kq1hHzmio6Nnz57duHFj9XDmZs2aycqEhYXJqJ9//tk49yxnz541zMdeTv1y584dWUTDhg1liVWqVOnVq9fvv/+ujX3GhWqOHz/u7e0t/S5Lee211yZOnHj+/HlDHZnh8OHDa9WqJXWklWSfDA4ONtRxvWedtKQ1L7u31m6yA3/44YdqB5adZMmSJerk5I0bN2RVa9asKeXSjMuXL3d40vLAgQMy58qVK5csWVJWWCZXzzXQaJ8jWfMJEybI3mjJbfeTz6y683nEiBH68vT0dPXJkrWVpTRp0kSGV6xYoa8zbtw4KezSpYu+cNu2bVJYv359rSQtLW3Tpk3vvPNO+fLlS5Uq1aZNm3Xr1u3atUu1ibYvOWltJ5+OXP9xIy1pDKkvEIf7CQAAwAvA/KT9o/9/7NNv0J2L+joZ1ozb0RHfn/mp7dI3VYWvfTMPpvt+M8B+Wnm1XNBIP7lISkkKibw8b88Sh7d/O7+MXB3NS0YtW7as4ai3WLFi+ljoehRxJWlLYJBUnLWov7300kulS5e25CVp79ixwzATRVZeQoJWTeUxSbOyCEPNnj17SnjQako8Gz9+vKGO0NrHedRRnGQJrUnXr1//8ssvG8ZKLPnPf/7pr8jISIlGapS+uWTrJCY9Y+h12C87d+6U+JR9Zpn69OkTFxdnNSNpS2tPmzbNOLFto2bNmqWuZpefM2bMMNaw7SGLFy/Wz83FnnXekta87N5au1WpUkWbj9KhQ4fjx4/bf5S6d++u38dSUlJGjRplqCPq1KkTGhqqVVOfowYNGqhtVHLd/b766itV86efftIKV69eLSWyv506dUreTp8+Xd5269ZNq5CRkVGjRg0pLF68uP5Z9BJ9pXDSpEnqbVRUVNu2bbWV0VSoUEENqH3JeWs7+XQ4T9ry2TRmUx1J+7JfSWf16tVLVvjbb79V5SdOnMhesVBz+I8/AAAAT2d+0nZ4b7YkbUnXW/x+VK9tZ38+dzvzbF7Ek8g2i5s2dy1pR8bc1+bw07nd8lYKd5/fZ19f1iH7SmWjjuZFuXLl5s+ff/ToUclLcjQvx/eqfPPmzaqm61Ek16T922+/qRIvL6+NGzcGBwefOXNGImi1atVUuetJOyYmpmbNmnKALsfZFy9evHbtmmRvdZQvW6SdJNSyigz8+OOPAQEBv/zyS7NmzVShhBNthh9++KEqfO+992Q9ZZ7SJlKoThVaXIg6VltQjLBRcVESlHorVIzR2qRv377SnleuXJFltWjRwmKLOtoTmCUwSMnrr78eGBgoWSg5OVmS0tixYyUMyyYkJiaqeb799ttSbfDgwdpSXDk5Zt8v+/fvlywkJa+99poEFT8/v71798psVTUJ2+rrxJ9loVbdM88ls23btk2ad9OmTW+99ZbFFpgfPHggdWbPnq3qvPvuu5LtT58+Lb3Wpk0bVejj46PNzcWedd6S1rzs3lq7lS5dWnKjdJa0m6ynKpQGLFOmjCRbKd+zZ4+2zt988402Q/UBkY6eOXOm7PmSrqW11Slr2XW17tA+mzJPGZaG8vX11Udxh2TrevbsabH9++zOnTtSEhQUJMuSEu2fFLJi8lbWUzK/KpFGUMsSsitqc1MfJWlSq+0fBCpmv/TSS6NGjTp48KBso3zc1NlyRa2889bWPh3af21krCp5/Pixtmh7Ti4aHzlypLYOmqlTp0qvvfPOO8ba7iGfF/lddOzYMeOIvDBc1wAAAPBiMDlpOzyh3dyWtNMy0g2FX/tulEk+3bPMNpx70j529WS2wk8bhERelvLOazrbT+LktLY6mq9cufKNGzf05XFxcXKEarEdr6uDP9ejiPOknZSUVKtWLXkr4erp06faTMTDhw/Vkb3rSdtqO9NlKJEAoJaofX+VymMtW7aUoKhVk9Bbu3Zt/apeuHBBnRqdMmWKJAStplU3T1eStsbhfdrSAnJELuXSUIZylWQ6duyoSlRi3L59u76a1XZprv5t/m6ZNvSLxCEJuqqVDIFHkq2quXv3bq0wfwu9dOmSCvPDhg3Tn+aV1l65cuXly5n7cEhIiKozfvx4/QPbJOn1799fykuWLHn37l1V6GLP5tqSru/eWrsdOXJEqyPr1qhRI4vtFO7p06e18oSEBLUmsrerErWPiV27dmnVxPXr1+VjaNHlYS1pr1+/Xl8zV1FRUdWrV7fY/lsUHx+vrhVv166d9kmRT7S6nkJyvipRO6o6Sz9hwgRVePv2bYstV8sH02q7CkOtz5YtW1QFzUcffaRGqX0p19ZW8nSftpPrxtUlEtLOq1evvnjxYlhY2A8//NCwYUM1c4dJW7ucRLZOPp5r16411sg72QrpsqtXrxpH5JGL/7ECAADwICYn7dHbJtqH3uY5JO2+3wyUSTae2t48X0lbXmuPfivlw7aMsp9E1iT7qv3DkIr1JHuoKz+3bt2q3qpj01yjiPOkLWlNHeBqt8jqGe7Tlvx/2RHJANmny0Zim7oKXUvF2t282Sta586da7Fds63eqqtqJXA6PNhVW6HN05V1c5i0VQuUKVNGXY+tJyFNLUXNpEuXLjI8fPhwh+ujcRh6JU0Z1yyLxD+rXb9oFxpIGNbPR5Hwb8l+vbHDhd67d8+4sCyqgrpkoFq1avqn0xuoOrVq1bLfallVdaGyxHJV4mLP5tqSru/e9tcCKMuWLbPYzlTrC8XMmTMttiss1Fu1j0nrZa+VSTbKorspWn2OZOcx/NMn154Vhw8fVv8zaty4sfwsX778rVu39DNR/9PR7mVo3bq1xbZvy8+aNWuqJUpUtug+yOqai/79+2sz0Whnp1Wb5NraSp6SdmxsrDGS2qj9VjbTz89PXy79pWaeU9KeOnWqr6/v0aNHP/nkE4vtv3LGSs+J/up9AACAF4PJSdvhpePNc0jaa/5cJ5Ms2JvPc9pvzHtNXYLecXUH+0mcXEDuJGkLdVp74sTMoO56FHGetNXFwxKQtMn1DElbnQ+0pw8qklc3bdo0evTonj17ysH9okWL/P391elB7ZLdnPKYihZCne5TecNwqlmjampJ25V1c5i0VQtICKzriJrJnj17pOYPP/yg3kpO69y58+TJk9euXXv+/HlD9HIYejdv3vz3CtmRgGHNY7+o85mlSpXSShwu1OFFvIqqoK6mVntUTlQvTJs2zTjCxtvb22K7B1u9dbFnc21J13fvnJK2yqWWrCVq1I3TEu3UW7V1En2NHV+3rjoRrc05p89mrj2rqISv7NixQzeDTPPnz5fyHj16WG2PFZBYXqlSpbS0NHVdg3ry3NixY2VY5mO1fcrUrPTPEdAYknaura3kKWnn9IVeI0aMkDnIB01fuHz5cjVni63j9KMU6Y6lS5dqb0uXLj1nzhy1PmfOnJESbVjIgHw66tevL020Zs0aGeukUCZ0OFb88ccfb775pnS9/H6rWbOmdIG2AnrOL6EHAADwRCYnbYfPJ2uedZ+2xGn1+ub45uPX/Kx/36fdrLlrSTs8+s7nf36tXjKHsPtXpXD72V/s6ze35fDsq/aPnI7mlSFDhsjYgQMzz7e7HkWcJ22HjzjW5DVph4SE5FTH4kLS1kKLSkf16tWT4WXLlhmqKarmsydt1QLOqesIxIYNG9QdvHrvvPOO/hSlw9Cbax7LU7/8/vvvqrJ2kbbDheaatFULG55qZuC8F9SFym3btlVvXexZa24t6frunVPS1h7OZ0jashNadElbbZ1zN2/etNp9jjS59qxy+fJlVShhz/40qfoua0nCkq5lZ7NkfejULdaSVK1Zq3ro0CFr1pXkwvBUf8WQtK25tbaSp6RtzKNZ9toYS3OjT9o//fSTrMOmTZucJO1PP/00IiJCdjOZ8Nq1a04KtaRtGHv16tWKFSsOHjz4xIkT69atK1myZE5JWxg3HgAAwMMVXNLWV5PUfefx3W1nf357WUtVwZWkbZCanjZ/z9IWc+va12/+DEm7Q4cOlqwnD2tR5PDhw4ZqeUra6txp48aNtcn1DEk7V+qO0AYNGshaSZx4/PhxUFDQ7Nmz1XXveU3a6ozrlClTDNUUVfPZ79NWLfDqq6/qC51IT08PDAyUOCSH5j179lS3mLZq1Uo7Q+gw9ObKYb80adLEWM9GxcVcz2nnSp3RnTx5snGEjvNeGDRokMWFc9r2SdvqtCVd372fMWmrrRs5cqS+jkPOP5vOSX5u3769Wh+Hi0tOTlYPmff39x8wYIAM/PDDD9ash6W9/fbbd+7csdguhlf3OOTpnLbipLVVBVOStnM55fCXbUqUKCG/KF566aWxY8dGRUU5SdryVgqPHz8uw/LTeaHDsZLkpTHv3r2rVqBOnTokbQAAUHSYnLTzdPW4/uVK0tZfPb47OPO5XwO+9bavrF75u3r89u3b6pHF6uuy5EhUHRZv2LDBUDNPSVs7O2r//cnWPCbtmzdvqlmdOHHCMMrFq8cNeUydL61Ro4b+8VoaVfPZk7Z2R7T9arvi4MGDanLt9GD+Qm9O/XLxYrb/BCnqPoJc79POlbpLWVo4KSnJOC6L6oWaNWva14mOji5XrpzFhfu0HSZtA31Lur57P2PSVnehV6pUKdenTDv5bOZK7XiyUO1ZZfYXkHft2tVi+1ZtaVJJm9ICVluilvxZrFixL774wmJ79rtWX92nPWjQoH9mkcVh0jaw32/zlLRzunpcux9baN/spahGmDNnjr5QkZaRjjhj+8oD2XaVitV5fnW/t8OkferUKYvtwgHnhQ7Hbty40cWkzdXjAADgxWNy0s7TE9H0r7wm7S4+XTKsGSevn7GvrF65PhGtSpUqhmeMxcfHq4dgac8ez8jIUJeDvvnmm/qnRt+7d089SdvFpC3xSV13LQfuhmcRR0ZGqlEuJu3Q0FA1Z/vQnr+kLSFTPUdq9OjR+qdeC3VuypLHpK2ekiWxSl+otYCXl5fhqFrSjj7ky9hz587pxmfSruPVHl2mHkDl8FFVThj6RXv2uPSvIS+pb2O2ZH/2eP4WKj2lWtjwXHGrLZHKvmTN/uxx/Z29KSkpKlbZP3s8157NtSVd372fMWlr+5i3t7ehBQyfwXwnbUl66gSyRE1r1p3tEqfVRekaCZmWrOeNa49Gt2b1rCpXc1DUhlgchXb1UDFLVpvk2tqqJE9JO6cnoqn/AVns7seWwKyeBufwa7dezrp6/OHDhy1btmzTpo0MhIWFyY43e/bsiIgIyecWU5P25cuXpQuGDBkiKyapu1SpUjklbftL/QEAADydyUk7T9/ypX/lNWnL6/cLB6Rw0Iah9vWbu/AtX6JChQoLFiw4evSov7//pk2b1EGqkINCrbL+W4737NkTEBAgsVO7XdnFpG3Nevi2xXYF9ddffy0HpnIkKge+Kh5bXE7aEr3UJJ06dZKDY1UYHh6u3Qid16RtzTrparF9K9LOnTulNQ4dOjRlyhR1Obolj0lbS1+LFi0KDAw8ceKExEgp37dvn4pb9evX//777+Uo/MKFCz4+PpLJe/TooZ7YLDFMhmW5U6dO1c4zy+TvvfeeTNioUSMthU6YMMFiu7RbFhccHHzw4EHDvzAcsu+XAwcO2H+ftspplqzv09Ymz99CrbpvhNK+K1vaWW1UixYt1DPJVc7R15GltGrVShXaf5+28551sSVd3L3t201xMWlbsy7Ut9j22/3791+7dk02UJpF6ujvTs9f0n769Km6v1p2YPUvA+kX9b16bdu21a+b/ju09Yla+1I3i+2brrVy2S3V157Lriu9L0lSdulffvlFnRtXpE1cbG1rHpN2Tt/ypSVtaShZGVmQ7I2rV69WHTdp0iTjBDZa0hbyAbdknQ+X9pffhPKpND1pP7Jdyi67a/ny5UeMGFG9enX5fautj57zB7YDAAB4IpOTtjWHC8hdTNoHQ45sO/uz4dVqYROHSbvbF90yrBmnbwbYz83JpePWrKP5MmXKqJNgehK6VqxYoa+ckJCg7jLVK1GiRI0aNSx5SdpW27OsteyqkVmp84ouJm3x448/qsgqa1unTh11+rFcuXIyK0u+krak99GjR2urpJE5qybKU9KWkFOtWjX9fLRV+uGHH0qWLKkfpUh99eRnyZzqBlpFtkirX7lyZf05QwnwqhE0Ks8757BfJC46XKvevXsbvpMsfwsV0tQqpRuo8KPqSFrTTpPqyRINT1NzpWddbEkXd2+H7WbNS9KWAKyuIbfXunVr7Uvm85e01UPpDGew//zzT9VZ8+fP1wqlkStVqqSW6+/vr5Vrl4qULVtWPg5audX2lHL7JhLaw8+kTVxsbWsek7bV9vVmxlRqS9rSNePHj9eWqJGmMNZ+rmTb5VNz48aN/fv3Fy9eXH4DGGs8epTrPQUAAACeyPyk7fC0totJ26G3l7V0mLTlte9i5iOCB28abih3ckLbmnU0L8f358+flwNTyZNyCFi7dm0ZVnnPQA6jFyxYUL9+fakmh9eDBw+WCfN0n7ZGDujHjBkj8VhmJcuVfCsl77//viUvSVscO3ZMpqpYsaLMp27dulOmTLl9+3b+rh7XHDhwoFevXjITyQmNGjWaO3euZGaV3vOUtMWlS5f69OkjbaVmpZ7krMh6SuJq0KCBjJJoJBlmxYoVhuvJ5dB83LhxMmGZMmWkWuPGjRctWmR/N+zevXvbtm0rM5FqMh/tDL8TOfWLrNX06dO9vLxkcdIC0rZSU19Bk4+FaiRl9e/fv1q1aurbziR72wd1Pz+/IUOGSNCVOmqfDAwMNNRxvWddaUlXdu+c2s31pK3I1qlve5JlSTt37dp1+/bt+mnzkbS1+6XV4830VLYvVqyYfF60QhWJZUsN17HXtX3bnHwE9IWKZO/169dLv0sOL1269Ntvv71p06adO3eq5WpB0ZXWzmvSlsYxBlPbV2epAWlnWaLsrj169Jg8efKuXbuyV3z+vvrqK9m1pDWk02fNmmUcbWPYeQAAAF4M5idtMeu3BfZZusBesnTjCgGAqb7++muL7YoDdwfFnK4hfzFw3TgAAHhRuSVpW59f2CZmAzCX4Xpyq+1Zieohajl9RZy5JMw7vIzco8kWufufFAAAAM+Ru5K21XYZucN7tt30kmU5v2gcAPJKQvWbb77Zr1+/bdu2nTlz5vr160ePHu3fv7+6CPzzzz83TuA2ycnJsbGxOX31l6eQ9Zet4FQ2AAB44bkxaSuSfkdvmygx+I15r9nH42d8yTxlzjJ/MjYAd/D19VWh2l6vXr04KwsAAACH3J60AcCjBQQEfPTRRy1btqxQocLLL79cuXLlzp07f//994ZnqgEAAAAakjYAAAAAAGYiaQMAAAAAYCaSNgAAAAAAZiJpAwAAAABgJpI2AAAAAABmImkDAAAAAGAmkjYAAAAAAGYiaQMAAAAAYCaSNgAAAAAAZiJpAwAAAABgJpI2AAAAAABmImkDAAAAAGAmkjYAAAAAAGYiaQMAAAAAYCaSNgAAAAAAZiJpAwAAAABgJpI2AAAAAABmImkDAAAAAGAmkjYAAAAAAGYiaQMAAAAAYCaSNgAAAAAAZiJpAwAAAABgJpI2AAAAAABmImkDAAAAAGAmkjYAAAAAAGYiaQMAAAAAYCaSNgAAAAAAZiJpAwAAAABgJpI2AAAAAABmImkDAAAAAGAmkjYAAAAAAGYiaQMAAAAAYCaSNgAAAAAAZiJpAwAAAABgJpI2AAAAAABmImkDAAAAAGAmkjYAAAAAAGb611kAAAAAAGAezmkDAAAAAGAmkjYAAAAAAGYiaQMAAAAAYCaSNgAAAAAAZiJpAwAAAABgJpI2AAAAAABmImkDAAAAAGAmkjYAAAAAAGYiaQMAAAAAYCaSNgAAAAAAZiJpAwAAAABgJpI2AAAAAABmegGTdnqG9VZkorEUAAAAAIACYX7S/uHPB/8adlZ7VRh3rsfC0B//fJAmCdhtfHbdrT056FFMqgxv++NBjYmBxhoFIiT0cseuvfbuP2QcYbVeuXq9U7fex3xPqrdPn8Z2fr9vj76DkpKSsle0Ll+15t0uPbdu22EoVzZu3iZjV67+Qr29ezdS3l68FJq9VkF4josGAAAAgMLMLUn7v4afPXXpqXrtP/N41sZbxUYFdJh76eGTzCTsoq92Rx4489hYmoMtB++3m3UxJj5Nhr8/dP95JW3x5dff9uzn/fjxE31henr6hCkfzv10iVaya/eewcPHdO3Z/88jx3QVM0nS7tKjX+8BQ+xDeGJiYq/+gyWik7QBAAAAoNByS9L+3yP8DYU3IxMbTAt+d+6l1FRXz2w3mX5+3e+RxlIXPN+knZCQMGjoqGUrP9cX/ufX37v3HhgV9VArGTtx2tZtOxYvW/XxzHm6ipkkaS9YvLzPwKG/7z1gGCX5fMCQkbPmLiRpAwAAAEChVUBJW1y8Ef9fw89uP/zAOCIHHpq0hd/psxJBA4OC1VsJ2BKzf/1tr1bhytVrUuHOnQip2bFrr/v3s7WJJG15bf/x52GjJ2Rk/POPibS0tMHDx/yy67f5C5eRtAEAAACg0Cq4pC28V17pPD9Ee3v3YfKEL69XGHeu+JiAIauuXotIUOUjPr+mv9Nbm5tfyNPxa683mBZcbFTA6x+e/2LXXe3eb3261g8/iU37cP3NmpOC/j3Sv83Mi1//FpmUnK5GudWipSslJyenpMjwvAVLJ0/7WJ+Zv/hq/cQpH1pt4bl3/yHfb9+pjbJmJe24uPgefQcdP+GnlR856iuVExMTPShph12+Omvuwu69B7zfZ9C8BUuu37ipH5uSkrLl+x+9h43p0qOfNFFgUHDvAUMO/XFEjT3ld2b85Olde/bvO3DY4mWrrly9pp8WAAAAAAqtAk3a3+27939G+KvIGROX9urkoJ6LQk9ceOofFjvW51r5cefuPsy8MzkmPi3qcYok6lU7I2RAu7t77a93520JPxsWe+te4s4jUZK31+66q0bllLS9V1wZuurq5dsJtyIT95yK7rogJPBKnBrlVtGPH/fs5y0x8sRJv/e697l5M1wbJfFbRv2y6zf11mftusEjxupzuEraMrBh09Yp02do5ROmfKgyuack7dCwy+qW8uDzFyVFL1q6UmJzSOhlrcLcT5f0GTh0z76DV65eP3Hq9JgJU6WtVNIOC7si4fyY78moh49kPpu2bF+0dNU/swYAAACAQqxAk/buE4/+NexsbELmc8tmfHer5ScXUnS3bfdZGjbO57r2NterxyV1t5t1UQ3nlLQljZ8JjVXDBWzfgT8kZ/b3HiEpUV9+5Khvx669Hj2KVm8vXAyRvBp8/oJWQUvajx8/6dqj36WQzCgbGHS+e++BT2Mzt8UjknZGRoYk58/WfKkvXLB4xfhJH6hh3xOnpH3Cw29rY+PjE7r1GqCS9s6fd30ya742CgAAAAA8SIEm7e/23fvvkX+f064w7tymA/f1Yw+cefw/I/2TU/7O3rkm7W1/PKg5KUgN55S0318Y2nVByJ5T0bfuJepOGxcEiZqTp33sPWyMuoZc8/HMefqnoEm1wcPHrPjMRyvRkrZY+9V6ydUyMGvuwvUbNqtCj0jaN27ekrH6IG21namWwnv3MvtdUvfCJSv0Y0WPvt4qaQefv9ilR7/tP/4cEhKWkPD3bQUAAAAA4BEKNGkPWXW1y6eZ92mnpGb8a9jZ4mMCyo07p73KjD3375H+96KTVWX7pH3ucmy/pWGSol+bEiQD49ded5iu9cMxcWlLfrjTesaF/zPCv8qEwLlbwhML5D5tRQLzh5/M0Zfcv/+gY9de73Xv0733AO3VqVvvbr0GxMf/nSf1Sfv+g6jO7/c9fsKva49+0dF/f+eZRyTtgHNBMtbwRWVPnsRIoYRnGZ4yfcaGjVv1Y626pC38AwLnLVjaZ+BQaTGpLNk7e10AAAAAKKQKLmlfupn57HEZq95WGh/489Go7FWyMSTtuw+TJZl/uTsyPjE9LS3jekTiOJ/ck7ZGsv2pS09lnhK8DaPcxz5pb922o2c/7zt3IiSmaq9LIaESJvcfPKxNpSVtseIzny49+q1Zu04r8YikffNWuIy9lf2cdmjYZSlUz1p3fk5bL+rho42bt3XvPUBdPA8AAAAAhVwBJe1bkYkNpwV30H2f9vwt4e1nX9Lfp23w+ofnJVdrb/efeVxyTIBufOaCHKZr/bDh67vnbgkftabgHmFtSNrqQvG1X63XVfnbRzPnTf1wpho2JO3w23fe694nMvKeVuIRSVuMnzxdW0/l00XLpn00Sw0f8z0p26W/vDwxMUnitEra6enp+qfExcXF2+d2AAAAACic3JK0/2v42VOXnqrXgTOP52wOLzY64J05lx5E/3PHcnxiumTpd+dekgh94Xrcf3wfyvDJi0+1Cj0WhnaadynoapxvcIw165z28h/vPHySGv009eDZx60+ueAwXWvDMfFpr00JWrHjTvC1uPvRKb+djC437tw+v78fRVYADEn7XGCwxMUrV/956pvmzyPHZNSdiMxHqRuSttUWSvVv7ZP2nr0HJPEaXjEx/zSmO+S6aNlSSc5LV6z2Pxd4xv+crHaPvoP00XrmnAV9Bw7bf/DwjZu3pMKkaR9rzx7f/uNPkz/45MSp0w+iom7eCl+4JPNRavrsDQAAAACFlluStv7bsMuPO/f+wtDthx+kpRljkgTmGd/dqjkp6L9H+kvqXrkzIi7xn5uoA6/EtfzkgoxqOC1YlfiFPO3yaYjk7SoTAj/69ubXv0Xap2vD8IkLTwetuFJh3LliowLazbq451TBxWyrXdJesnz12InTdOP/kZyc3KOv98bN26yOkraBfdJ2+Dp67Hj26UzmyqIj7kbOnreoe++B7/cZ9OmiZfcfZLtfIC0tbfPWH/oPHtGlR78p02ecv3BJu3o8Pj5h05btI8ZOklH9vUd8tubLx4+f6KcFAAAAgELL/KQN5Fu3XgOOHPU1lgIAAACARyFpo7AIv33n3S49wy5fNY4AAAAAAI9C0sZz89Mvv86Zv+jESb+bN8PPnA0YM2Hq5A8+SU8vuK9hAwAAAAB3IGnjuQkPv732q/Wjxk3u1mvAoGGjV/t89eRJ5tPvAAAAAMCjkbQBAAAAADATSRsAAAAAADORtAEAAAAAMBNJGwAAAAAAM5G0AQAAAAAwE0kbAAAAAAAzkbQBAAAAADATSRsAAAAAADORtAEAAAAAMJPJSftfw84W/pdxpQEAAAAAMA9JGwAAAAAAM/3rLAAAAAAAMI/J57QBAAAAACjiSNoAAAAAAJiJpA0AAAAAgJlI2gAAAAAAmImkDQAAAACAmUjaAAAAAACYiaQNAAAAAICZSNoAAAAAAJiJpA0AAAAAgJlI2gAAAAAAmImkDQAAAACAmUjaAAAAAACYiaQNAAAAAICZSNoAAAAAAJiJpA0AAAAAgJlI2gAAAAAAmImkDQAAAACAmUjaAAAAAACYiaQNAAAAAICZSNoAAAAAAJiJpA0AAAAAgJlI2gAAAAAAmImkDQAAAACAmUjaAAAAAACYiaQNAAAAAICZSNoAAAAAAJiJpA0AAAAAgJlI2gAAAAAAmImkDQAAAACAmUjaAAAAAACYiaQNAAAAAICZSNoAAAAAAJjpRUvaDx48uHPnjrEU7kSbAwAAAICe+Un7gw8+sNgpV65cly5d/vrrL63aF198Ub58+d27d+smfVaLFi2SZX355ZcyfOrUqcqVK8+cOdNYySQON7NixYo9evQ4ceKEsbZ5mjZtql9iqVKlGjZsOG3atIsXLxqruuzmzZvGopxFR0c3atSoffv2KSkp1uxtDgAAAACwui9pFy9evEwWSYMqFr700ktbt25V1SR4S8nEiROzT/1MPv74Yy31LV++XIYbNGhgrGQS+80sWbKk2sxixYr9+OOPxglMYkjaGlnoRx99lJqaapwgN3Xr1n355ZeNpTk7deqUWmJERIQ1e5sDAAAAAKzuS9oLFizQF96/f3/s2LFSXrp06YcPH0rJ+fPnJRnevn1bX+0Z6VNfdHT0zJkzfX19jZVM4nAzZXO8vb0ttnP4jx8/1o8yi0ra2tUBiYmJ586dmzx5sqRlKR86dGj26rmTqfKUtDMyMlatWrVp0yb1lqQNAAAAAAYFlLRFWlpagwYNZJT7zvcWZOrLaTOTk5Nr1aolo3799VfDKFMYkrZm//79r7zyiozasmWLYZRzeU3aBgXZ5gAAAADgEQouaYv+/fvLqM8//9yaPaHt2bNHhgcOHPjNN99IkixRokSVKlWGDh0aEhJimENcXNySJUsaNmwoderWrTtz5szo6GhtrP08+/Xrp0a98cYb8lYKhw0bVrlyZZm8TZs2+/bt06ZVTp482atXrwoVKpQtW7ZTp04HDhwwVNA42Ux1Yfx3330nw15eXjJ8/fp1fYXGjRtL4eXLl61Z67x8+fK5c+fWqVOnePHiMok0UXp6un4STU5J25p1y7Q0S0ZGhlaY0xbJ0i12VOROSUnZsWNH3759a9SoIeld+sLb2/vKlStqwidPnkhNmaF6a0jaMv93331XWrhUqVLS5tJZjx49UqMAAAAAoIgouKQt8U8lzO3bt1sdpWJFkqRkvCZNmsiw5GEZpc0hKipK5cwyZco0a9ZMfspw/fr17969qyrYz9OQtF966aVatWoNGDCgZcuW6u0vv/yizX/dunVSYrGF1Xr16qn1WbVqlVZBL6fNTExMlIAqow4fPmx1OWnLcmVz+vTpIyldnZqeOnWqfhKNk6QtGViCuow9d+6cKnGyRbdv325rowrV8DvvvCOjtm3bpgolMDdv3rx06dIyXKlSJXWpv5OkvXnzZovtyvnevXv36NFDJpe3jRo1SktLU5UBAAAAoCgooKSdlJQ0c+ZMKS9ZsuT9+/etjlJx+fLl//jjD22SrVu3qvyp3cstQVSqTZgwIS4uzmo7vz1q1CgpkVCnKtjP05C0hwwZkpycrEo+++wzKaldu7Y6A+zv71+sWLEqVaqcPHlSVfD19ZV4Ketw5swZVaJnv5mSJ0NDQyVkSvmrr76qFuRi0n799dcjIyPV2FOnTknYluVqp5H1nCRt8fbbb1uyLiB3cYssdlePS2dNnz5dtkW9jY6Obt++vVSbMWOG1WnSllBdqlQp9aQ0q+1C+g0bNhw6dEi9BQAAAIAiwl1JW5JYXR11nlZ8++23qpqTVKyZMmWKlKtv6rp06ZIMv/nmm/rLqlNTU1XyDAsLszqdp0ra58+f16aV+aiTrlevXpW3AwcOlOHffvtNqyB+/vlniy2f6wsVh9/ypZQrV+706dOqmotJ23Cfs7rMfuPGjfpCxXnS7tu3r4xds2aN1eUtstglbXv79u2Tal26dLE6Tdo1a9aUJk1MTNRPCwAAAABFjbuStkGZMmXee+89/elNJ6lYExAQIOUtWrSQ4a+//lqGJTBPya558+ZSrh6F7WSe9klbtGnTRgr9/f1luFKlShbbCXP9zMeNGyeFtWrV0k+lqM2UqbyyqDm0bNlSu5rdmt+kPWvWLClcvXq1vlBxnrTbtWsnYzdv3mx1eYssOSftmJgYdRu8tJtUU9eWO0naaub16tWbPn36+vXrjx8/rl1BAAAAAABFh7uStv0NzAZOUrHmwYMHUl6zZk1r1uO+crJy5Urn83SYtNVdymfPnk1PT88+v2yKFy+un0qx38wTJ05Y7L7fK39Je+7cuVL42Wef6QsVJ0lbgnGJEiUstv8duL5FFrukHRcXJyugTviLihUrqme85Zq0ZQXGjBmjfa+4qua+R80DAAAAQOFUqJO2n5+fxXYe22p7uJcMT5w40VBHz8k8nSdtGVbBUrvHOFcON1Pdz7xkyRKtRH2xmeGOazclbVmuxXaLuLrA3sUtstglbWk0KWzXrt3GjRt37ty5cuXK1q1bW1xI2kpSUpJEfQnYU6dOleT/yiuvqGv7AQAAAKCIKERJu2/fvoY63t7elqz7tENDQy22q7Xv3btnqKaxn6frSXvIkCEyLBFXX8EJh5u5f/9+tZKxsbGqRF2gbvi2MHck7UOHDqkHj2t3d7u4RVKnWLFi2tu4uLiXXnpJUrr+wm8Xrx63N2/ePEvev+IbAAAAADxaIUrar7zyirxVz9NKSEj49NNPLbYbvLVnj6vg3apVK5VRRWBgoMxHy4T283Q9acsoWQHJnD4+PupbqZKSkpYtW3b06FH9JBqHm5mRkaHuG9e+G2zOnDnytn379vHx8arkp59+Ut+8ZUrSlpUMCgqaNm3ayy+/LOUDBgzQvkzbxS0qX768TBgcHGy1PT5d2l+mKl26tP5u8+3bt1tcSNqysbLhshQ1KiUlpWvXrpasLzwDAAAAgCKiECVtpVSpUvXq1ZOfFrvv05aM99Zbb1ls3z4tderXr68mUY/adjhP15O21fY90uoZ6WXLlm3WrJn8lOHq1as/ffpUP5WS02bu3LlTyqtWrZqQkGC1fQd47dq1LbavE/P29lbfwvXsSduezHPKlCkSbvWVXdkida148eLFpT3r1KljzXqwWaVKlUaOHCnDrVq1krhuyS1pP3r0qFq1ahbbt3DLPGVjZW4W23POtfAPAAAAAEVBIUraffv23bRpkyRJCdhVqlQZOnRoSEiIYark5GQfH58WLVqULFmyfPnynTp12rFjhxbk7OeZp6QtgoKCBg8eLDlZkqeEedkW7Yy6QU6bmZaWpv4FsHbtWlUic5B5SjSVdW7Tps3evXuf/epxTalSpRo0aDBp0iRZc2NVm1y36N69e4MGDZJ4LLPq2LGj1XYuWhr59ddflxWWjhg+fPivv/5qyS1py/DDhw8XL14sybysTevWrdevX28I/wAAAADwwjM/aedDTk9EAwAAAADA45C0AQAAAAAwE0kbAAAAAAAzkbQBAAAAADBToUjaAAAAAAC8MEjaAAAAAACYiaQNAAAAAICZSNoAAAAAAJiJpA0AAAAAgJlI2gAAAAAAmImkDQAAAACAmUjaAAAAAACYiaQNAAAAAICZSNoAAAAAAJiJpA0AAAAAgJlI2gAAAAAAmImkDQAAAACAmUjaAAAAAACYiaQNAAAAAICZSNoAAAAAAJiJpA0AAAAAgJlI2gAAAAAAmImkDQAAAACAmUjaAAAAAACY6bkl7dTU1ISEhNjY2CdPnkRHRz8CAAAAABRWktoku0mCkxwnac4Y8JBdQSfttLS0+Pj4x48fG/sNAAAAAOAhJNNJspN8Z4x8sCm4pJ2enh4XF2fsHwAAAACAx5KUJ1nPGP+KvAJK2klJSVwiDgAAAAAvHsl6kviMIbBoK4ikzalsAAAAAHixSe4zRsEizO1JOzY21tgDAAAAAIAXjqQ/YyAsqtybtInZAAAAAFB0ELYVNyZtLhoHAAAAgKKGy8it7kvaSUlJxvYGAAAAABQBPCDNLUk7PT2dJ40DAAAAQNEkebCIf/WXW5I2140DAAAAQFFWxK8hNz9pp6WlGdsYAAAAAFDESDY0xsUiw/ykHR8fb2xgAAAAAEARI9nQGBeLDPOT9uPHj40NDAAAAAAoYiQbGuNikWFy0k5NTTW2LgAAAACgSJKEaAyNRYPJSTshIcHYtAAAAACAIkkSojE0Fg0mJ+3Y2Fhj0wIAAAAAiiRJiMbQWDSYnLSfPHlibFoAAAAAQJEkCdEYGosGk5N2dHS0sWkBAAAAAEWSJERjaCwaTE7axnYFAAAAABRhxtBYNJC0AQAAAADuYgyNRQNJGwAAAADgLsbQWDSQtAEAAAAA7mIMjUUDSRsAAAAA4C7G0Fg0kLQBAAAAAO5iDI1FA0kbAAAAAOAuxtBYNJC0AQAAAADuYgyNRQNJGwAAAADgLsbQWDSQtAEAAAAA7mIMjUUDSRsAAAAA4C7G0Fg0kLQBAAAAAO5iDI1FA0kbAAAAAOAuxtBYNJC0AQAAAADuYgyNRQNJGwAAAADgLsbQWDSQtAEAAAAA7mIMjUUDSRsAAAAA4C7G0Fg0kLQBAAAAAO5iDI1FA0kbAAAAAOAuxtBYNJC0AQAAAADuYgyNRQNJGwAAAADgLsbQWDSQtAEAAAAA7mIMjUUDSRsAAAAA4C7G0Fg0vCBJ+6FNlM3Nm7dCwy6fv3ApMPgCL/1L2kRaRtpHNZRqNGNTFhS6zJUXXeZxL7rM4150mce96DKPe9FlHveiyzzuVai6zCFjaCwaPDtpa5+9+/fvX75y1e+M/8HDfx07cUp2uNDLV69cu8FL/5I2kZaR9pFWkraSFpN2K+BPI12Wpxdd5nEvuszjXnSZx73oMo970WUe96LLPO5VGLrMOWNoLBo8OGlrH7+r164dP3la9q2b4beTkpKM6wQ70krSVtJi0m7SetpH0djEZqPL8o0u8zh0mcehyzwOXeZx6DKPQ5d5nOfVZbkyrmjR4KlJW30C7927FxAYfOjPo7fv3DWuClwg7SatJ20oLenuzyFdZgq6zOPQZR6HLvM4dJnHocs8Dl3mcQqyy1xhXL+iwSOTtvYJ9Dvjf8b/HP/iehbSetKG0pJu/RzSZSaiyzwOXeZx6DKPQ5d5HLrM49BlHqdgusxFxpUrGjwvaes/gYHBF4xrgHyRlnTf55Auc4fC32UZGcaSIq7wdxkM6DKPQ5d5HLrM49BlHsetXeY642oVDZ6XtNUnMOBc0Bn/c8bF24lLjj9x/bT8NI6AHWlPaVX1OTQ2+rOhy9zkuXfZ08S0c+Hxey/EHA59GnYvMTEl/UlCmpTHJaUv2hu59sgD4wRF3nPvMiUp1fokMUN+Ild0mcehyzwOXeZx6DKP474uc51xnYoGD0vaDx8+vG97AuGhP486uZ7kcNixT36d1/Or3s3n1FEvGZYSKTdWRRZpT2lV9axCE//jpXXZH3SZ2aQ9/3geXZaRYX0Ym7rTP3r89vBmS0PrfXqp/oKQch+db7QoZNG+e39dfrruWFTp6cGvLw6NjEkxTly0Pa8uU86Gp272T1rtm7T0r0T1kmEpkXJjVWShyzwOXeZx6DKPQ5d5HDcd5OeJcZ2KBs9L2pGRkcdP+jl5OsKkHdO1tGb/krHGCZBFWlXaVlrYxA+hrssijMvLQpflm7RqwXdZ8J2EsdvCi08L+tews/YvrwWXqsy48P+N9K815+KxK7HGiYu859JlYkdQsnZQIq8fArO9lbHGCZCFLvM4dJnHocs8Dl3mcdxxkJ8nxhUqGjwsaUdFRYWGXT52/JRxwVnsc5rDl3EyZJG2lRY28dqSv7vsBF3mLtK2BdllVx4kjf4+/OWpQf/P8LMqTvf79saEH8K9v7tRecaF/zv2nBa5y310fsPxh8bpUeBdJrSjkDXHk0IfpCVnXuNvlZ8yLCXaWONkyEKXeRy6zOPQZR6HLvM4ph/k54lxbYoGD0vaDx48OHX67M3w28YF23x7Yot9QnP4kprGiU3l7e2dnOzG/6slJib27dvXWGoGaVtpYWlnY9Pnl+qyW27oslWrVvn6+hoK3eSvv/76/PPPjaVO2e8Dbuq1WwXYZcmpGXN237VMzjybXfGT8x/9EnHqelxUbGrkk5SIxynn7yT0XHddS9qWyYEf/5Ljv6XzKq9d8OTJk9GjRxsKT58+vWTJEkNhwSvILhN+t1LVwce9p+lbA5KO30zVv6Tk6sM0VUFqGifOLx8fnxMnThhLc+amT4dZ6DKPUxS6LE8KyW8/J+gyjfb3Sw5y1q5daxxdaHh0l71gv/FcZPpBfp4Y16Zo8LCkff/+/YOH/3J484bfjQD7eObkJfWNs7DTp0+fnTt3ysDdu3enT8/DNcxVqlSRA0djqXliY2Nr1KhhLDWDtK20sLSzsenzy31dNnz48L179+pL3Gfbtm0ffPCBsdQRbZ+x3wfc1GsF2WWHQmLqzrv0/470b7gwZN/FGMPYsHuJTRaHakn7f48OGPjdDUMdPWkf+VjVrl27QYMG7dq1Cw8Pt+oa0MDFLsjIyKhYseKdO3ciIyMbNmxoGLt79277+F3wCrLLbj76+8jj+sPMf/4bLrRbarv0TsqvZx2gSH3jLPIlrx/PZ/909O/f31hkHrrMHeiyglRIfvs54Vldlte99+DBg5s3bzaW5kD7++XiH77nxbO6zKDgf+MVBqZ3WZ4Y16Zo8LCkff3GzZwuHf/oP7Pts5n+NXb7ZKm2+/w+9VbqG2dhRw794+MzH4IdEhLStm1b4+ic2acscz37UakT0sLSzsamz6/rN27kdCHQM3ZZQf6WdP2vnbbP2O8D7us1aWFpZ2PT51dOXXb3ScrgjTckQv/PhHOL991LSEnXj01Jy5j/W4SMqjrzwpvLw3qtuzbph/ADF2OkXF9Nz8/PTzvy+PXXX9977z2rrgENXO+CsLAwyduFOWlbC6rLxPfnMg9HDoT9/Q/+P678fU5Aex2/+fcoqSNvpf4/Ez+DvH48n/3TUaZMGWORqegy09FlBanw/PZzwoO6LK9779q1axcuXGgszYGnJG2rR3WZQcH/xiskzD3IzxPjqhQNHpa0L4WE5vT1et3Wvm8f1QyZTVElUl83tTU1NXXatGn16tVr1aqVfPzUHyT1OTx06FDjxo3//e9/yyj5W6WfSomOju7Xr99rr71Wv3791atXW3Up68yZMy1atJDfmC1btgwKCrLafoG++uqrM2bM6Nu3r4y6ceOG1bb0qVOnvvHGG02aNFmxYkW2uets2bJFFiHVpLJ2VLpp0yaZT/PmzYcOHSoRZePGjePGjVOjHj58KGuSkcfvNZYWlnY2Nn1+ua/LpHfGjh3brl27unXrSoNIG1ptZ0T//PNPVaFHjx4nT56UBq9du/b06dO7du0qWe6PP/7o37//m2++OWfOHFVNmmjWrFmdO3d+/fXXpTGzZp+N/LXr0qWL1GnUqJH8fPAg8/ur1q1bJxOqCtofUe13t7YPOOw1cxVMlyWmpDdbmnnKusLH56/cT7Lfq25Hp3zrG/W938PDoTEhdxOj442Xb23YsEF9FqRr7t27px8lAVuayJrzHz/Xu0C1vHakon20W7duPWTIkEJyrFkwXZaWbl1+NPMQ5EHcP/8W+frUPzezbTjzz6kDqSMlUj9N9y8U6Y5Ro0Z169ZNfsk4+ZTJOnTo0KG5jfoQyYSzZ8+WQtnnFy9e/M8cs3P46cjr77SoqCj55fy//tf/kp/z58+XkhEjRrz11lsyE/nNrNbZ4W/4PKHLlM2bN3t5ecmHq3fv3o9sR07y2ZSPZM+ePd9++235Nas+m6dPn27atKn8pm3btq2fn59hJvZdZuh0Q/388ZQuO3r0qDRdmzZt5ABA/kJZbU0qf6ekhaVHrFkfE2kfCV3ax8S+I8Qvv/wihbKfd+zY8fr166789nuUfU/45ptv5A+rGnXz5s3q1atbbb9U5dhm8ODB8uv3wIEDauyFCxek++TIR/50qtV+dh7RZfZ7rxzpqV840pJXr1612u3/y5cvr1q1asWKFWUSdfWWnvw1lIMTmYM078qVK60elbQ9ostEenr63Llz5XBRPg5jxoyJi4vTDjak/eW3ovwZkh5Uu7d9j1gdfQpyOgLJ9ZDy+TK3y/LEuCpFg4cl7f+fvfuAkqLa14b/rrvuWeue95713Xvfcz1HxYOAIEFJDjlJUjjKAQRFEQHFBEpQghLFHEAUFQOiEkRBQUBMSHSYwOQcmZzzwAyTU31P954panZ193T3VA8z089v1WIVu6uqu/+7q3o/U9Xd4RFRcRdNRzHJlaoyNaHN+Gj6wq8WWcxs1bXVz3y7Qm3HWuoW3n33Xex7YgCHDKZN2kpL57QxtsD+ppivyvj555+VprF+SUlJ3759L168iJbIyEi8Y2EAgQNo165dcZPS9G6KmS1btogt1NXVYWj466+/arcv4MCNt2Gxoqenp3i79fPze/TRR7EW5j///HO8p+J+b7nlFnHtzfbt2998883mm2kZKow6y6V3FjYV75ouQ++8/fbbivkAioG1OBrqB5QoeLdu3XBURctzzz2HQYlYBQdc8Y6IzgoNNf1sI3oHQ43g4ODGO9BAT+EdVIxZv/322xkzZihWDrJS0rbYa4aLb5Muyyut7bUx8i/LQhd/k5Z92cLPd9XrwndVbUNJ5dUruLA7oPKYwU4hiilgv8PL/sSJE4rNpG1nF0hJ2+Kufc21TZddrmzAgGO7l+kvPlp7g0wDlOPR8p/8sSTasZbagu5QxxkrV660tpdt3bpVHMFqamoSEhLEim+88YZi3q169eqVlJQklteyuHc4fUzTnmKqqKgQMytWrDh06JBixMuAXaaYewddVlpaqpj/cIb3PqUpaYtd+8cffxQXp9x7771is3iy0p/VVGqX6Ttdu5jTOkqX4bUtqpefnz9o0CDFXFKENFEQa7uJviPwRoYUUVho+h5KpLuMjAx7XvbSK+Hy5ct4xxSPBzFSfLQbB9WwsDDF/CdRxEXF/CLBkEa8dWZlZRn1edeO0mWK5tWLXkB+vnTpEubDw8MxilAsvf5tn9MWf5dH2dGDeXl5HShpd5Qu++ijjxYuXCiGEMePH8erXR1sYPeJiIjADDpx2LBh4m+FUo8olvYCayOQFoeU15axg3yHyA/FPXSwpB0aFpGQlCLfq6L4JgeoYQzzaHn1ly1SZiutKntq/zPaOCeWFEaOHCn2LkVzkZXFpI33rTubYOfE3oj9qmkzjcRY//fff3/mmWfUxsceewxjHe1FrWlpaWPGjFHM946ksdAMwxSMJvEWq97LxIkTscy6deu+//57saJ6pSUa77rrLrHiI2ZoXLZs2TfffIOZIUOG4O7EKvZDhc97X4iMijFk8vK+4KIu00YyvJONHj1asTSg1BYcZVE/b4/uOH36tNL8Mm8Myjds2KDoell6t7v99tuxisWDrJS0Lfaa4VDhU2c9fS4EiOmsp7evX2BAYEhYeKS+R1qcrHXZiajLcz5PenRPyvHwy9r8rIdb910ovO3l6AGvRv8aeVltx2v7ySef/OKLL8SlHCrsbp999pmYFwXUv/7t7wIpaVvcta85VNjL9XtZVonpT/v7Q67+sV9IKDB9ki0uX+5ELIl2rKW2aPeygoICa3uZl5fX0KFDMS4/ceIERjDSighR2Nf0fWpx77DnmKbflNI8aSNgPPTQQ0888cT06dNxOFWMeBk412XYB7EnYn9Ud08xYYft6F2mmPe16upqad8cOHAgdsBt27ZNnToVxQ8MDFTMf0S20WUWO731nOsya5Pr9rL4+HgMAFDz1atX33TTTUrzw5213UTfEXjzkj4JbPFlL7276V8Js2bNEq8WHGZFStS+S3bv3h29eerUqccff1y0GKijdJmiefVipNe/f3/x6gXUXP/6VzTvUPp9AVkdnbJgwYLFixcPGjQIca4DJe22GX60vstwJMzIaPZFa+KIh866/vrr1e6bPHmyt7e3vkcUS3uBjRGIaFSHlO0KKowwJeerNiE/FPfQwZJ2WESkxXPaZdXlahiLzTGdQ4bVh9erma2wrPixPU9qMxsmrKVuAQdH8VcrpaWkLcEe1adPH6lR7Gl4K5KStqenpzb4YbcXw6BRo0ZZPIGghYiof7tdv379l19+2Ww58zVdOHwHBweLv3M7ChX28vHTHwGdm7Api3+hbH2XaceFGEyIv1lgiKZexqZP2to3LYwS0EFK88PiwYMHN27cKOa1pHe7AQMGYBUkxk2bNokWa0nbYq8ZDhU+3fytztvX/w8v399P/4F/Q0Ij9P1iY7LWZcjP1bXyaWuLH00wfaJ7X+r/eSqox4bI5IJmb42RkZG7d+8eNmyYOu5fvnz5jh071AW03aplfxdISXvEiBH6Xfuai2+TvaygzHQeYKdfsy7A0GRn00V3ieavllGJdqyltkh/z7K2l2GmpKQESyIAYKQirajuaxKLe4fTxzR14Hvy5EkMmMR5PLw8xEldi0d4hzjaZdjv1H0Q+6OUtLHDdsQuw6hRG/Dw3odsZvGvYIr5De7w4cPoMnGFrZ7aZRY7vfUc7TLbk+v2srFjx6rnP7t27arYkbQtdgTKuH9/sx/psPPoJ70SfvjhhyVLlgQEBEyfPl0soH2XvOWWW2pra7GXPfHEE+oWjNJRukxpfsCZP3++9iZBev3bOKeNjvvqq68U82UFONCFhoZ2oKTdNsOP1ncZhtmZmZmaRa4m7R49ekifSNL3iGJpL7AxAhGN1oaU1xYG+QhTcr5qE/JDcQ8dLGlHx8Ra/AgHPLTzYRHGpm3/Z3C66RPRquyS3PlfPiplNiyvXUZ7kdVrr70mJW28C6ppTW/WrFni4ivseNrTpGVlZRhzxMfHoyUiIkKMPywm7Q8//BCHY/HnZIyHLH6y2s/PD4NFcbWYj4+PeLsNCQnp27evOHGNYWhR0+sYm73nnnvUz1M5BBVGneXSO8t1XfZ009XjKBf6Tny+ffPmzeICSPQF6mxn0kY9FfPflVHhoKAgsYCW9tJljG/EpcvIinfffbdYYOXKlRaTtsVeKywsFH9bjY6ORqdjs8ifjffkFBtdFhMbf+LU2YTEJPkG62x0GRSX18ZmV56NK/nWv/Ar74KsS/Jl5HjtJuZX3bIhEkl70KvRlZovTjt//ryYQceJk9jPP//8Bx98oC6g2EzadnaBlLS3bNmi7tp4bVgba7YxG13mBGtdVlHT+Ouj6kV0MXmN38uqTmgRN4nL8zBVaLr06aYrilFAlM7aXoajnDj3VVFRIT7YaU9ss7h3OH1MQ0QRHxI5cuSI+rnuVatWiaRt8QjvEIe6DHsc9jvsffINTTpol+HwiI5QL1pGaFfM+ya6Ruyb3333nYhn6FxxwT9mHnrooWZbaaJ2mcVOv3jxorhVDHPRmJqa2mz9ljjUZS1yXZfdcccd4sxzdnZ2ly5dlOZvVeLqcVFzLy8vsZtY7AiU0cPDo6CgAPNhYWHYmj1HP/0rAR3Xq1evZ5555tixY2IZfcZA16DLRNfgHgMDA/FeFhVlqg/yjPoYLA5mbOgoXaZoXr34t2fPnuL6+by8PHEdsv71j1GitcyM4xWOWpiprq7GIbFjJW0bXWbg8KP1XYZh9sKmq8cxUMeMesTDGH7btm2KOVd7enoqlnpEsbQXWBuBtDikvLZsdJmryQ/FPXSwpJ2UnGLtu8c3Hn9NjWRTtk44n9j4qaHUovS5n8+TMhsmLK9dHfsMxmR4w5syZQreYKSkjVsnTJgwYMCAo0ePatcS8MDmzp07ePBg7FSff/65otkhsX/eeeedePPD6uo3oumTdn19/UsvvTRo0KAhQ4Y89dRT1r4PBm+oeIQTJ07csGGDenb00KFD2P6wYcPuvfde8cFj2LNnj/6vdHZChVFnufTOcl2XoXfE9x7hueOtSBxAi4uLp06dOmfOHPQmutLOpI2FUVVsRzohoMKKM2fORNIbM2bM/fffr16Ph8Px5MmT8WpZsmSJxaStWOq1HTt2rFmzRjGfysBRGDEbPajelxNsd1lqahre7dIzMuUbrLDWZXX1DVGZFSu/S5+7K2nCtvg+L0X993Ohr/+cJX27eEVN/dbfc3ETkvYTe1PVT3TjPWz16tWoA/pl/vz5KM7Bgwf/8pe/qNfRQV1dnY2kbWcXSEkbLwzkebFr4wVjcazZ9mx3maOsdZnS9Kf9gKYfF/VMMn0p6/Hoap/UWvErKX8kNt4UYP6pUumkAboDewoqbHsvg7vuugvz48ePF18zYU9sUyztHYqzx7S1a9divIsDKR7kggULsC7+xZFZJG2LR3iH2N9l2Newx2G/k2/Q6Lhdhj3Rwwy1LWr6RjRUG2Fbu2+iZ7FHTzVTO1GidpliqdPxaH/66SfcRbdu3XBk+Oyzz9Rv6rKT/V1mD9d12dmzZ/FegLS8fv16caZUyld79+4Vu8nGjRvV3UTfEYq5jFgSZURHIPHac/TTvxJg0aJFyPzixaNYyhiK+fwBVhHDG0QLjHZGjRqlmE/Cb9++HbsqlpTOIraoo3SZ0vzVK0oxdOhQDALFXwP1r/+kpCSUEV2j/4MRhoLogtmzZ2P4hxp2rKRtu8uMGn4ore4yMcweOHAgCotUjNezesTD/T700ENibxLvF/oeUazsBRZHIC0OKa8t213mUvJDcQ8dLGnj6GPtp/bOxntpU9nEN0f8Fn36Yn7S/Z8+oM9smLC8vIkmR44cWbFihdzqHsRP7aHOcumd1TZd1hrao2dHZE+XxcbFX/APklutsNFli/am/vnZEPUXs0e9ExefK5fuRHTJ8Ldi/31JsMcbMWfjTKdcSGJPlznERpedT278KZQr5m+LPxJZ/WN0tW9qrTqJ3yDFrWIxLK9d3dofPjo0J47wDnUZ9jXscXJrc52py9pnGHCoy+zhui6zX3FxMaKC3OoCH3/88erVq+VWF+uUXda52dNlRg0/OkqXtfMhpT1d5jryo3EPHSxp5+bmXvAPTE1v9q0GqpWH1urjmcUJS8orK4q3t7eYWbx4sTg17YZQW1QYdZZL7yzRZWmu6TJDtPPDYovS7Ouys57edv5d2UaXrT+add2qMDVpz/wkMSitPOtSTV5pbVFZbVBq+aYfs3puNF03jsVe+Tlb/7luUuzuMvvZ6DIQf+/fE2Qau2BeP6F9j/kbXMW8VtvHNtdpzRHe/i7DXoZ9TW7V6Uxd1j6Ttv1dZifXdVmL/P39xYfLDh48KH4+w6UaGhqGDh0aGxsr3+BinanL3ISdXWbI8EPpIF3WzoeUhg/yHSI/GvfQwZJ2Xl5eVHS0tWtLlKYfXm5xklczf0LpgQceGDZs2MiRIxcsWCDe1dwQaosKo85y6Z3lui4zSjs/LLbIzi4LizB9EajcaomNLtvtU9h9vSlIi+k/l4UgVz+2J2X14YwFu1MGvBr9pyXB//Z00PVrwp/9Nj0h38KfpUmxu8vsZ6PLoLzpE26f+VVlXm729bmAll3+jV8qU6477LV9bHORVh7h7e8y7GX2fNlMZ+qy9pm07e8yO7muy1q0efNmDw+PsWPHTpo0SX/tsbHwNLt37+7oRR+G6Exd5ibs7DJDhh9KB+mydj6ktLPLXER+NO6hgyXt/Pz8tLQ0vFAyMrPl+27yle9+fU5TJ9wqr0BNUFXUFhVGneXSO6uxy3zRZVny/TVhlzkNVUVt7emypOQUO6/gstFlXglX+r9iitN9Xooa/lasGrm1040vhC87kB6R2fiDxiSxv8vsZ6PLhIKyho99G4cgXwZUHY0yfbYN/2JeNOJW6Zt1SeVQl2Evs+cjcOwyl3Koy+zELnMpdlmHY3+XGTL8ENhlreGKQb5D5AfkHjpY0i4oKMjMzIyKjjl97rzFD3II/ikh64+9fP+nc9S0hnm0oF1e1Gz7mU86/SQ/Zx3UE1VFbcUXh8qld5aLuuxQ8DFDphPRZ3yTAl795R39TY5OYlMLv1qkL75zk/ycdRzqsuzsnHPnfeRWS2x0WU5JzegtcT3WR+7yKkDq3n46b+zWuB4bIke8HTvszdgJ2+JfPJJ5NPRSYVmt/ourfvAscHQ6FXjJL7r0tf3p+ptanJxeV6z44FtxH/yQ5egkP2cdh7rMfja6TOuXWNOld/oJ7fKiZhjBdPpJfs46jnYZ9jLsa3KrDrvM6Ul+zjqOdpmdXNRlkTl1hkwJBXXpl+rPJtbqb3J0Eps6GGbKMIZM8nPW6Vhdpn+CnW+Sn7OOQ11myPBDi12mn+TnrONQl7mI/JjcQwdL2oWFhTk5OWlpaf6BwQFBpi8DtO1KVZlvcgD+lW9oDqlGfyq1M03IgfJz1kE9UVXUFhVGneXSO0vTZUEBwe2uy0SgRTzW3+ToZOCmxtnZZcHosiA7uwwLnDzzh9xqie0u2+NbtONcXnm16cKt0sq6qtqG5IIq78Qrp2JKwjIq0CItr0IQ1Z8Atz2J7IrQq7+pxcnpdZ1eESldesp6DnWZ/Wx3mVZljVJU3pBWbBpP41/MV1q/yg5v3vqhTGeaUAT5Oes42mXYy+xZjF3m3OSKLrNTO+8yX/NQ+6D5g6ytnAzc1FZ2WQecDO8yo4YfWuwy7WRXl7lmkO8Q+TG5h46XtPPy8rKyslJSUnz9AkLDLfzsnhOQkb70+boTTzu99sjPuTlUEvVEVVFbVNjAnVDqsrCIVv1wtEp/Brg1k4EnorEpff2dmFrsMlTS0S47ceqs3GSJ7S7Tn6y2k/4MsJ2Tc6eXxeT0uljxq99yHZp2/WL6NWAbnOgyO9nuMqdhdBKc0ZmnwPQWzgM42mVYwJC9zGnsMke7zH6u6zIDJwNPRGNT+vo7MXXKLtM/zc40uaLLeGB06dRil7lukO8Q+WG5hw6WtIvM15bk5uZmZmYmJyfjdRMQFGrjChNqEaqHGqKSqCeqitoaflWJ3GXB7LJWMXVZsDNdZudbXRG7zGhOd5n92GXGcrrLuJddK053mf3YZcZil3U4TncZD4zXShsM8u0nPzj30PGSdmFhodgPMzIy8LrxCwg6fe68jS9IIxtQN1QPNUQlUU+xBxr+ty6py/wDAs1d1vKHWkkPdUP1UEMnusz+tzp2mYFa02X2Y5cZqDVdxr3smmhNl9mPXWYgdlmH05ou44HxmmibQb795MfnHjpe0i7S7IeZmZkpKSmRkVHnfS54+filpmfwT1/2QJVQK1QMdUP1UEP1D10u2gP1XeZl7rI0dpl9UKU0c5d5taLL7H+rK2KXtZohXeYQdlkrGdJl3MvakiFd5hB2WSuxyzocQ7qMB8a21PaDfDvJD9Q9dMikXaTZD7OystLS0pKSksIjIn0u+J8644nXVmh4VNzFxISkFE7aCTVBZVAfVAm1QsVQN1QPNWyDPdBSl0X4osvOmrosLCIynl2mm1ATVMbUZWc9fU1dFtGaLnPora6IXebUZGyXOYpd5sRkbJdxL2uDydgucxS7zImJXdbhJmO7jAfGNpiu7SDfHnJodA8dNWkXNe2HeXl5OTk5mZmZeDElJycnJiZGRkUFh4T6BwT5+Qdy0k6oCSqD+qBKqBUqhrqheqhh2+yBLXdZQCAn7WRslzn6VlfELnN8MrbLnMAuc3Qytsu4l7XBZGyXOYFd5ujELutwk7FdxgOjy6d2MMhvkRwa3UMHTtpF5v1QuytmZWVlZGTgtZWamppClqAyqA+qhFppd7822wPZZY4ysMuceKsrYpc5zsAucw67zFEGdhn3srZhYJc5h13mKHZZh2Ngl/HA2DYM7DJXkEOje+jYSVtQd8X8/Hy8qnJzc/HyyiZLUBnUB1VCra7h7scus5+BXebcW53ALrOfgV3WGuwy+xnYZdzL2oaBXdYa7DL7scs6HAO7jAfGtmFgl7mCHBrdQ2dI2oJ4PYm9UeyQpCeKo9ZKLmLbYpfZw8Aua81bncAus4eBXdZ67DJ7GNhl3MvahoFd1nrsMnuwyzocA7uMB8a2YWCXuYIcGt1D50naWuqLjPTkYrUP8qMkDblYzmr9W52W/ChJQy5W+yA/StKQi+Us7mVtRi5W+yA/StKQi9U+yI+SNORiOYsHxjYjF6s9kUOje+icSZuI9Ix9qyMiPe5lREQSHhipiEnbEHJRiajd4FsdkatxLyMikvDASEVM2oaQi0pE7Qbf6ohcjXsZEZGEB0YqYtI2hFxUImo3+FZH5Grcy4iIJDwwUhGTtiHkohJRu8G3OiJX415GRCThgZGKmLQNIReViNoNvtURuRr3MiIiCQ+MVMSkbQi5qETUbvCtjsjVuJcREUl4YKQiJm1DyEUlonaDb3VErsa9jIhIwgMjFTFpG0IuKhG1G3yrI3I17mVERBIeGKmISdsQclGJqN3gWx2Rq3EvIyKS8MBIRUzahpCLSkTtBt/qiFyNexkRkYQHRipi0jaEXFQiajf4VkfkatzLiIgkPDBSEZO2IeSiElG7wbc6IlfjXkZEJOGBkYqYtA0hF5WI2g2+1RG5GvcyIiIJD4xUxKRtCLmoRNRu8K2OyNW4lxERSXhgpCImbUPIRSWidqOVb3WFZgVmqalpcfEXI6OiwyMiOalTWERUZFQMKoP6iEKJosmlbCuWuiwGD5KTdjK2y1q5lxERdT48MFIRk7Yh5KISUbvh3Fudmtby8vIuJiQGBAafOuvp5euHiBJ/MTEhKYWTdoq7mIjKoD6okn9gMCqGurU+vzlE6jJ/TZfFsct0k7Fd5txeRkTUifHASEVM2oaQi0pE7YYTb3VqYEtMSvK5EIA0kpaeUVVVJe/5pIMqpaZnoGKoG6qnhje5xEbTd1kqu8w+hnSZE3sZEVHnxgMjFTFpG0IuKhG1G46+1YnMlpubGxoWcebc+YzMLHmHJztkZGafPnc+JCwClXQiuTlE7TLc3WlTl2XLj4bs0Jouc3QvIyLq9HhgpCImbUPIRSWidsOhtzo1swUEBgcGh/KkaGugeqihf2CwE8nNfmqX+bPLWs3pLnNoLyMicgc8MFIRk7Yh5KISUbth/1udNrOFRUTJ+7l9GhrkFjeHSjqR3OxkSJeRxIkus38vIyJyEzwwUhGTtiHkohJR+4CcYP9bXeMVyKHhgcGh8k6uUVpZF5pe/ltUydm40vjcysqa+ssVdWgvq6p/+7ecT//Il1dwe6gnqiqSm1z01rGzy4SqWuVyZQP+pRY52mX272VERG6CB0YqYtI2hFxUImo3Tp75w57zclhGfGf1mXPnLV6B3NCgFF6pPRxcvOJg+titcR5vxAx5M7b7+sgRb8e+fSLX82LpLq+CrmsjRr8Tl1NSI6/s3lDP0+fOi2+3tqcv7KR22WkrXSYEpdd+HVz1oXfVVs9KMWEeLWiXF6UmDnUZFsBeJrcSEbk3Jm0qYtI2hFxUImo3zp33yc7OkVt1kBZycnJ8Lvhb+wq0iMyKZQfSb3wh/P88FaSfhr4Z03tT1J+WBPd/Jdor4Yq8stvLyMxGbVHhFmOb/TRdZvUr0A6FV6sBG9N3Yc3+i1vlFaiJ/V2G/Qt7mdxKROTemLSpiEnbEHJRiajduOAflJScIrfqFBQUxMVf9PL1k3dvs4T8qme/Tb9+Tfi/PR0k4vT8r1Ke+y590Z6UWzdF/WVZqBq5u6+P3O1TKK9PiuLl44cK23k1sj0au8zHcpeBmqh3+FTF5ddVm67xV/Av5tGi3iqvRk3s7DLsX9jL5FYiIvfGpE1FTNqGkItKRO1GZFRMWESk3KqTn5/vFxCUlp4h797IZrUNr/yUfd0q09nsnhsj1x/N8ksuK7hSm3O5JutSTWRmxUO7ktWkfd2qsA1HLZ8Vd05AQMCWLVukxjfeeGPo0KHfffed1N6epaZnoMKos1x6Z4kuS7XUZeCfViuCdG5p/TchVT6ptdoJLYmFdWIBLCmvTGZ2dhn2L+xlcisRkXtj0qYiJm1DyEUlonYjPSPzrKe33KqTl5d36qynxY/7no4tGfxazL8vCR7+VuyJ6BLp1vjcylHvxKlJ+8/Phjy6J0VapjV++umnZ599FjPz5s07fPgwZi5fvty9e/f6+np50fYNtUWFUWe59M6y0WWpRY0pOrnQdCJbumh8q/kycrQnN4VtLC9vwsV27ty5fPlyzGRnZ69du1a+uX2ws8uwf2Evk1uJiNwbkzYVMWkbQi4qEbUnF/yDYuPi5dbmklNSLF46nn255vG9KYjQ//1c6DsncitqmuXbmrqG13/Owk19XoqasC1+7q6kld+ln4wuQbt2sdZQk3Z6enp5eTlmMjIyRo8eLS/XEXj5+CWnpMqldxY2Ze3S8W9DTdH6ZHzjyeozCY3nt9XJJ7XxJiyD/2L5qyu3iZKSEmRszMTGxk6ZMkW+ud1oscuwZ/HScSIiPSZtKmLSNoRcVCJqT9IzMvGGl5qaJt+gERMbZ/EHmStr6sduNZ2yvmVDZEJelT5AZxTXfOVd8K1/4dm4ktjsyuJy+VLkp59+euXKlU899dSQIUOOHTu2bt26Bx98cOzYsYmJiWKBr7/+eujQocOHD3/44YeLzAfl2traF154wcPDY/LkyU888YRI2tjOb7/9huA9ZsyY//qv/5o0adLhw4e7d++el5cntvPoo49avJ5cbG2o2UsvvSROhvfu3Xvz5s333XcfQvu+ffsU05erN6xYsWLUqFHjxo1bvXq1K86Zo8Kos1x6Z1nrsrp6Zdt5U5zOL7v6FD73u/rB7N2BV0+DYxm0YPk6zdPFc3/11VcHDx6MLli6dGlZWZnFGtruWdu3Hjhw4MUXXzx9+vTIkSP/+te/ojfRs1cfQZPc3Nz7778fr41hw4YdOnRINLZl39nuMuxT2LN4QpuISI9Jm4qYtA0hF5WI2pmExCS858XEWj2zHR4RFX+xMfpq5ZXW9toY+ZdloYu/Scu+bOHnu+p14buqtqGk8urVyEhcH3/8sWJOTX/+85/j4+Mxf+TIkfnz52PGz88PAam0tBTzu3fvnj17NmbeffddBDzEJ8y/8sor2qStND+njbT2ySefYKaioqJbt24WL6V+5513xNYQwBYtWvTRRx8p5rQWGmr6Dery8nLEs+Dg4MDAwHnz5olVYmJitFswStzFRNRZLr2zsKk4S112ubIB4Xm7l/xVZ3uDTGH7eLR8+hpLoh1rqS0o0cKFC5GuMX/8+PGamhqLNbTds7ZvFUlbaemc9j//+c/vv/8eM5cuXUJiF13Wln1no8uwN2Gfwp4l30BEREzaZCa/rboHJm0it5ORmekfGHzqrKeXj5/PhQBpQntCUoq8byvKiajLcz5PenRPyvHwy9r8rIdb910ovO3l6AGvRv8aeVltVxMy9OrVS4ThtLS0MWPGYGbdunUiSgkIUdXV1SNHjszPzxct6tXjFpN2RETEnXfeqZiTG6IgZr744os7m4gTntqt4X7F8rijysrGLHro0KENGzYUFxd7eHgg/n333XfIdeImY6HC570vREbFGDJhUxa7LKvEdJp6f4j8R4eEAtOnsuPy5U7EkmjHWmoLyosiaxaxXEPbPWv7VotJW+q7ioqK/v37i5tg7969mzdvVtq270SXRUTFiMnHLyAsIkrsR/gX+5S8mxERkRmTNhUxaRtCLioRtT+NSfuM5aR9+qynxXPayM/VtfJpa/PJZpnpE937Uv/PU0E9NkQmF1yNedrEpWYkNS0jJmmTdp8+fWpqakaMGKFeE247acPAgQOzs7PvueeekJAQtVELC2tT4oQJE5Tmae3gwYMbN27EDO7a29t7+/bt/fr1K3LB20PcxUQUX5+ZnZtMv0FlqcsKykzntHf6NUvaiNk7my4gTzR/TZpKtGMttWXUqFGZmZmaRSzX0HbP2r7VYtKWYJUBAwao/0XSfuWVV5S27TvRZVeT9oWAqJjYhMSknJxceQcjIiINJm0qMu7tuGNh0iZyLy1ePR4dE2vxQ79CcXltbHbl2biSb/0Lv/IuyLokX0aOlJaYX3XLhkgk7UGvRldqvjjNduIKCgrCjHr1+IMPPoiZLVu2qFePv/HGG7aT9ltvvYWsNXToULVF8v7772uvfP70008V8yPx8fHBDO565MiReBglJSXimmSYOnVqXFxcYWGhOLUbHR2NIFdbWxsZGanZsMNQYdRZLr2zrHVZRU3jL2mrF4TH5DV+x7g6oUXcJC41x1Sh6dIPP/xQvXr89OnTmLFYQ9s9a/tWNWknJCQMHz5cLKY3Y8YM8YeY4uLiIUOGREREKG3bd8Z2GRGR+2DSpiImbUPIRSWi9sSeb0RLSk6x+EXWdfUNUZkVK79Ln7sracK2+D4vRf33c6Gv/5wlfbt4RU391t9zcROS9hN7U7Wf6LaduBRz6PIwmzt3blHTN6I9//zzd9xxx5QpUxYvXmw7aaelpf3pT39COFRbJHV1devXrx9stmnTJvUb0VatWjVx4sRhw4bt379fMf/c1Jw5c+6+++4JEyYgvaNlx44da9aswczYsWMR5xDV8CCbb9sxqDDqLJfeWda6TGk6TR3Q9EPZnkmmLxg/Hl3tk1orfvHrj8TGmwLMP7stnQBHiV566aWBAwciA69cuRJdZrGGtnvW9q1q0kZfo+ADBgw4evSoWFiroKAAnYKyI2ZrvxGtzfrO2C4jInIfTNpUxKRtCLmoRNSe2PMrXzk5OdZ+nHnR3tQ/Pxui/mL2qHfi4nNNqUnrRHTJ8Ldi/31JsMcbMWfjTCeo20xDQ8M//vGPIgeP5torkNuG+HFm1FkuvbNsdNn55Maf9bpi/rb4I5HVP0ZX+6bWqpP4PW3cKhbD8vIm2rE26zvDu4yIyH0waVORg2OzToNJm8hdpGdknvX0llt1cnNzL/gHpqU3+x4sYf3RrOtWhalJe+YniUFp5VmXavJKa4vKaoNSyzf9mNVzo+m6cSz2ys/Z+s91u9Tx48cfeughubUlbZbWVKnpGagw6iyX3lmiy1ItdRmIc9d7gkw5HPP6Ce17zN9GLuY7kDbrO8O7jIjIfTBpUxGTtiHkohJRuxEZFRMWESm36uTl5UVFR1u8Gnm3T2H39aYgLab/XBaCXP3YnpTVhzMW7E4Z8Gr0n5YE/9vTQdevCX/22/SEfAunWF3n5Zdf7tmzpxM/7NRmaU2F2qLCqLNcemfZ6DIob/q09md+VZmX5d+XRssu/8YvSCuXP3Tf3rVZ3xneZURE7oNJm4qYtA0hF5WI2o0L/kH2fNA0Pz8/LS3Ny9cvIzNL2sG9Eq70f8UUp/u8FDX8rVg1cmunG18IX3YgPSKzQlqXhIzMbMQ2VBh1lkvvrMYu80GXZcv3Z1ZQ1vCxb2Oc/jKg6miU6XPa+BfzohG3ar9ynLRc0WVERO6DSZuKmLQNIReViNqNc+d9srNb/qBpQUFBZmZmVHTM6XPnpY/+5pTUjN4S12N95C6vAqTu7afzxm6N67EhcsTbscPejJ2wLf7FI5lHQy8VltXqf/3rB8+CtpxOBV7yiy598K24D37IarNJfs46qCeqitqiwqizXHpn2egyrV9iTZeR6ye0y4uaIY13+kl+zjou6jIiIvfBpE1FTNqGkItKRO3GyTN/FBYWyq06WCYnJyctLc0/MCgguPEHk1R7fIt2nMsrrzZdhFxaWVdV25BcUOWdeOVUTElYRgVapOVVCKL6E+Cum0TuRdLW3+SiCfFefs46AUGh/oHBqC0qbE9f2EnTZcG4C/leNSprlKLyhrTiusicOvyL+UrrV4wjiOpjeWeaUAT5Oeu4qMuIiNwHkzYVMWkbQi4qkRWFZgVmqalpcfEXzZ8ijuKknVATVAb1EYUSRZNLaR+saOdbHZbMy8vLyspKSUnx9QsIi2j248P6k9V20p8BboMJSfur33LbZtr1S478nJsLDY9CPVFV1BYVdror9aQuwx3J9+0UJO3gjM48Baa3cE7bdV1GROQ+7Bx+WGNpxBgdHhHJSZ2MHTG6iPwW6x6YtKlNqYdLDFsvJiT6BwafOuvp5euHY0TcxcSEpBRO2gk1QWVQH1QJtULFUDenD6D2v9XhLnJzczMzM5OTk5E0AoJDbVyTTC1C9QKCQlFJ1BNVRW0LjL4OWe6yIHZZq7RBlxERuQn7hx9a0ogxQDNijOeIUTcZO2J0BfmN1j0waVPbUY+YiUlJPhcCcDhITc9gHrAHqoRaoWKoG6qnHj3lEttk/1ud6Cmki4yMDCQN/4DA0+fO678gjeyRkZmN6vkFBKGSqKfIbI72XYukLsPdmbvM8hekkW1t02VERG7C/uGHSj9iTOOI0T6GjBhdQX6g7oFJm9qImgRCwiKYAZwmMgBq6MTo36G3OrW/MjMzU1JSIiOjvHwumL6BmW919ml8q/PxO+9zAdVDDdVTow71mv30XXbe3GX8e5ad2r7LiIjcgUPDjyLN21loWMQZ/qHfWa0ZMbqC/PjcA5M2tQX1oOkfGBzIS5FbB9VDDVFJRw+dTr/VZWVlpaWlJSUlhUdE+F7wN12+5eMXFhHJy7f0U9zFxNDwKNTn1BlPnwv+4RGRqBuqhxo62l9OsNRlkXgYeDB4SHhg/IyGfrq2XUZE1Ok5NPxQ38gCOGJsNadHjK4gPzj3wKRNLqeN2WERxnxXE6GSjh46HXqrE0Tf5eXl5eTkZGZmIn4kJycnJiZGRkUFh4T6BwT5BQRyujr5B6ImqAzqgyqhVqgY6obqtdnlWy13mb/pcXJSp2veZUREnZv9ww+OGF3BiRGjK8gPyz0waZPLiYNmSGh4oO4no/TKqst9kwPwr3wD6aCeqKo4dMpFt8T+tzqtQjM1vGVlZWVkZCCNpKamppAlqAzqgyqhVtrA1mZvb+wyR13zLiMi6qwK7f7pkyIHR4xVtcrlyoaqFn5EgkwcHTG6gvyY3AOTNrlWofn3hy4mJJ4+d97GJUBn4702Hn/toZ0Pj3tloJgwjxa0y4tSE9QTVRVfL9liJMACJ8/8IbfaTQ1v+fn5uDscrBFIsskSVAb1QZVQq2sY2Nhl9msnXUZE1Clh+GHPQbWwacR4xuaIMSi99uvgqg+9q7Z6VooJ82gJaumHG92ZQyNGF5Efk3tg0ibXwv6MUazPBX8bX4G28tBaNWDrJ9wqr0BNUFXUFhVu8biJNHHuvI/c6iCRQER+ExGO9ERx1FrJRWxb7DJ7tKsuIyLqZDD8wCBEbtUpvDpitPoVaIfCq9WAjem7sGb/xa3yCtTE/hGji8gPyD0waZNrYfwaF3/Ry8dPfq000Udri5O8GjVBbVHhgpYuB0pKTrngHyS3toIaS0hPLlb7ID9K0pCLRUREBsHwA4MQuVWnccToa3XEqCbqHT5Vcfl11XWmRvyLebSot8qrURM7R4wuIj8a98CkTa6Vn5/vFxCUmp4hv1bMvvLdrw/VFicsKa9sqEWLFlVXd8g/haK2qDDqLJe+ubCIyMioGLmViIiIyJUw/MAgRG7VESPGNCsjRv+0WhGkc0vrvwmp8kmt1U5oSSysEwtgSXllMrNzxOgi8qNxD0za5Fp5eXmnznpa/LyNf0qIPlHbmLC8vAmdefPmHT58GDPZ2dlr1zpw2Xnv3r0rK9vi76A7d+5cvny53NoKqC0qjDrLpW/urKd3ekam3EpERETkShh+YBAit+rYGDGmFjWm6ORC04ls6aLxrebLyNGe3BS2sby0hQULFkgt0NDQ0LNnz8zMTPkGV3J0gGogO0eMLiI/GvfApE2ulZySau3S8fXHXtbHae207OAqLPZT5AnxXywvb0InPT29vNz0veWxsbFTpkyRb7auzZJ2SUkJDrJya+ugwqizXHqN2Lh4Yy8dJyIiIrITBiEYisitzSWnpFi7dPzbUFO0PhnfeLL6TELj+W118kltvAnL4L9Y/urKZjfffLPUIsTHxyNvy62u5OgA1VgtjhhdR34o7oFJm1wrJjbO2i8i3v/pHH26lmK2IFqwvGZtpba29oUXXvDw8Jg0adLTTz/97LPPohEzv/322+nTp0eOHPnXv/4VN/3000/atYTi4uL58+ffcccdQ4YM+fDDDxVN0g4MDLzzzjuHDx8+ceLE8PBwtOTk5AwaNGjTpk2PPPIIbkpJSVHM975mzZrx48ePGjXqvffea7Z1jf379+MusNaLL7542223oeXAgQOYl5drHVQYdZZL3yQ1Ne3EqbM8oU1ERETXBAYhGIpgQCLfoGFtxFhXr2w7b4rT+WX1auPnflc/mL078OppcCyDFixf17RseXk5RoP/8R//gX9ff/11DOqGDh26bNmyOXNMo0p1+BccHDxu3LgxY8YsWLCgb9++BQUF1hoxULz77rsxtJs2bVpiYqJiHnxiaIcNHjp0qOmBNMLzwmLjzPbt2ycNUHNzc2fOnImtjRgx4v333xer5Ofnz549G4vdc88906dP12+zNWyPGF1KfijugUmbXCs8IiruoukwJLlSVaaG6hkfTV/41SKLMbu6tvqZb1eo7VhL3cK77767dOlS8ZfIV155RZu0lZb+ZIhD2K5duxTzhTQ///yz0nSoLSkpwZH04sWLaImMjOzXrx8O0Dgod+3aFTcp5pwsLkDasmWL2EJdXR1C+6+//qrdvhAQEIAcLlb09PR0XdJGhVFnufRmMbHxeG9LSEySbyAiIiJqKxiKYECCYYl8QxOMZOItjRgvVzYgPG/3ki883BtkCtvHo+XT11gS7VhL26ie08ag7n//93/z8vLEf8Xw78qVKxjyxcfHK+aru2+88UaEaouNpaWlCMmXLl1CY3h4OPKzYh58vvTSS2KDkq1bt4rhYk1NTUJCgqIboIqcX19f7+HhIR4Vkvn333+PmerqaixpbNK2MWJ0NfmhuAcmbXKt0LCIhKQU+YWiKL7JAWp+xjxaXv1lixSzS6vKntr/jDaBiyWFkSNH5ufni/mffvrJRtJGIL+zSUREBA5qOLA2baaRONT+/vvvzzzzjNr42GOPnTt3Dgfl4cOHi5a0tLQxY8Yo5ntHwF5oNnPmzO3btyNyq/cyceJELLNu3TpxrAQcr12XtFHh894XIqJixOTjFxAWEeUfGHzqrCf+zcjk2WwiIiK6xjAgUQcnGKio4xYxYSRjccSYVWI6Tb0/RP78dkKB6VPZcfnyR7KxJNqxlrZRm7TVQZ1iZfiH0ItQbWpZ2AQAAFqoSURBVK2xf//+YvgHGA1idXXwqejGnF5eXkOHDn399ddPnDiBsK00H6Ait2P5BQsWLF68eNCgQWFhYdgatq/e6apVq4xN2qgwRuZyx7QJ+aG4ByZtcq2wiEiL57TLqsvV/BybYzqHDKsPr1djdmFZ8WN7ntTGbExYS90Cjm7qnyRtJ20JjmJ9+vSRGsWh9tSpU1LS9vT01B6UMzIyRo8ejZlRo0YlJSWpS1rUZkkbFfby8buatC8ERMXEJiQm5eTkyv1BREREdO1gcIIhCgYqUtLGSMbiOe2CMtM57Z1+zZI2YvbOpgvIE81fk6YS7VhL22hU0j558uT8+fPVRkGbtPVKSkpwK8aEkydPVpoPUNevX//VV18p5jPeEydODA0NraiocGnSxojRnu+BdwX5obgHJm1yreiYWIufuoGHdj4s8vO07f8MTjd9IlqVXZI7/8tHpZiN5bXLaK8ef+2116SknZCQoD2SSmbNmiUu5qmtrT19+rTSdKgtKyu7/fbbxZVCERERmEejxaT94Ycfzp49W/x58syZMxa/TkNcPV5aWop5Ly8vKWlfvHgRd4cZHFgV876TmprabH27ocKos1x6IiIiog7C2oixoqbxl7TVC8Jj8hq/Y1yd0CJuEpeaY6owDdCu6tq1qxh0WUzaV65c6du3rxj+5ebmdunSRVw9rm/ERnr27Onr64vGvLw8jBUVm0kbq2NdzCBC9+vXT2k+QF2+fPmRI0cU84XiI0eOFANC9epxjFGnTp0qknZYWJhi/sy5+IQjNiKGl466hiNG+aG4ByZtcq2k5BRr3z2+8fhraoqesnXC+UTTYUsx/ZZD+tzP50kxGxOW166OA9CqVavuuOOOKVOmPPPMM1LSxq0TJkwYMGDA0aNHtWsJeGBz584dPHgwjmuff/65ovlKDBzm7rzzTg8PD6yufiOaPmnX19e/9NJLgwYNGjJkyFNPPSW+8Fxv7969eIQTJ07cuHGjlLTnzJnz008/4ZF069atrq7us88+W7Zsmby+fVBh1FkuPREREVEHYWPEKE5TBzT9ULZnkukLxo9HV/uk1opf/PojsfGmAPPPbksnwGHt2rVIyBi5WUzaivl7zjDAGzt27JNPPqn98jN9I9L1+PHjhw4dijHkyZMnFZtJ+8KFC3fddRdGqlhFfKePdoCKUSVunT17NkaSo0aNEkkbAX7mzJnY+IwZMzCDpI0xZ/fu3fPz87EFLIxlHn74YefOdV/DEaP8UNwDkza5Fo5o1n4d8Wy8lzZIT3xzxG/Rpy/mJ93/6QP6mI0Jy8ubaHLkyJEVK1bIre1JcXHxwIED5VYjiF9HRJ3l0hMRERF1EDZGjOeTG3/W60qV6bT2kcjqH6OrfVNr1Un8njZuFYtheXkTjkAMFt951mKjqy1fvtziGSPnXNsRo/xo3AOTNrlWbm7uBf/A1PQM+bVitvLQWn2itjhhSXllRfH29hYzixcvFqem2xt/f39xhfnBgwcffrjZ1e9GQW1RYdRZLj0RERFRByFGjGlWRozi3PWeIFMOx7x+Qvse87eRi3lHxcXFFRYWYiYlJaVHjx42Gl2tuLg4Ksp0FT2C8aBBg/AY5CWcdW1HjPKjcQ9M2uRaeXl5UdHR1i4HUpp+K7vFSV7N/ImXBx54YNiwYSNHjlywYIEItO3N5s2bPTw8xo4dO2nSJKc/hm0baosKo85y6YmIiIg6CNsjxvKmT2t/5leVebnZ94oDWnb5N35BWrlT48EffvgBQ8oxY8bgX/ENPtYaXQ0xe8KECaNHj8YA8r333pNvboVrO2KUH417YNIm18rPz09LS8O+nZGZLb9cmnzlu18frdUJt8orUBNUFbVFhVFnufREREREHUTjiNEXI8YsebhjVlDW8LFvY5z+MqDqaJTpc9r4F/OiEbdKXzlOqms+YpQfkHtg0ibXKigoyMzMjIqOOX3uvMXP3gj+KSHrj718/6dz1ICNebSgXV7UbPuZTzr9JD9nHdQTVUVtUWHUWS49ERERUQdh54jxl1jTZeT6Ce3yomZI451+kp+zTnsYMcqPyT0waZNrFRYW5uTkpKWl+QcGBwSZvlPRtitVZb7JAfhXvqE5BFH92e/ONB0KPiY/Zx3UE1VFbVFh1FkuPREREVEHoRkxBgUE2xoxVtYoReUNacV1kTl1+BfzldavGEcQ1cfyzjShCPJz1mkPI0b5MbkHJm1yLezPeXl5WVlZKSkpvn4BoeEWfinRCUjaX/p83YmnnV575OfcHCqJeqKqqC0qfK2Om0REREStJ40YwyIi5aGPU5C0gzM68xSY3sI57XYyYpQflntg0iaXKygoyM3NzczMTE5Oxq4eEBRq46IgahGqhxqikqgnqoraXqsLgYiIiIiMIo8YgzlibJV2NWKUH5x7YNImlyssLBSHzoyMDOzqfgFBp8+dt/EFaWQD6obqoYaoJOopDprX6s+TREREREaRRoz+AYHmEaPlL0gj29rbiFF+fO6BSZvagnrozMzMTElJiYyMOu9zwcvHLzU9g3+ttAeqhFqhYqgbqocaqn+bvIYHTSIiIiID6UeMXuYRYxpHjPZptyNG+YG6ByZtaiPqoTMrKystLS0pKSk8ItLngv+pM544HISGR8VdTExISuGknVATVAb1QZVQK1QMdUP1UMP2cNAkIiIiMpalEWOEL0aMZ00jxrCIyHiOGHVT+x8xyqHRPTBpU9sRh868vLycnJzMzEzs/8nJyYmJiZFRUcEhof4BQX7+gZy0E2qCyqA+qBJqhYqhbqgeatgeDppEREREhmt5xBgQyOnq1BFGjHJodA9M2tSmCs3Uo2dWVlZGRgYOB6mpqSlkCSqD+qBKqJX2iNkeDppERERErsARo6Pa+YhRDo3ugUmbrgH16Jmfn48DQW5uLo4I2WQJKoP6oEqoVbs6YhIRERG5FEeM9mvnI0Y5NLoHJm26ZsQhQBxAxTGU9ERx1FrJRSQiIiLq1DhitEc7HzHKodE9MGlTu6AeF0hPLhYRERGRW5IHSaQhF6s9kUOje2DSJiIiIiIiIleRQ6N7YNImIiIiIiIiV5FDo3tg0iYiIiIiIiJXkUOje2DSJiIiIiIiIleRQ6N7YNImIiIiIiIiV5FDo3tg0iYiIiIiIiJXkUOje2DSJiIiIiIiIleRQ6N7YNImIiIiIiIiV5FDo3tg0iYiIiIiIiJXkUOje2DSJiIiIiIiIleRQ6N7YNImIiIiIiIiV5FDo3tg0iYiIiIiIiJXkUOje2DSJiIiIiIiIleRQ6N7YNImIiIiIiIiV5FDo3tg0iYiIiIiIiJXkUOje2DSJiIiIiIiIleRQ6N7YNImIiIiIiIiV5FDo3tg0iYiIiIiIiJXkUOje2DSJiIiIiIiIleRQ6N7YNImIiIiIiIiV5FDo3tg0iYiIiIiIiJXkUOjezA4aRcXF8t1JSIiIiIiIreEhCiHRvdgcNK+fPmyXFoiIiIiIiJyS0iIcmh0DwYn7StXrsilJSIiIiIiIreEhCiHRvdgcNKuqKiQS0tERERERERuCQlRDo3uweCkXVtbK5eWiIiIiIiI3BISohwa3YPBSRsuXbokV5eIiIiIiIjcDLKhHBfdhvFJu7y8XC4wERERERERuRlkQzkuug3jk3ZdXZ1cYCIiIiIiInIzyIZyXHQbxidtKCsrk2tMREREREREbgOpUA6K7sQlSbu+vr64uFiuNBEREREREbkB5EGkQjkouhOXJG2oqqqSi01ERERERERuAHlQjohuxlVJW+E15ERERERERO7Hza8bF1yYtOHKlSty1YmIiIiIiKiTQgaUY6Fbcm3SVhi2iYiIiIiI3ANjtsrlSVvhZeRERERERESdHS8a12qLpK2YvyCN30ZORERERETU+SDr8SvQJG2UtBXzT3/x5DYREREREVFngpTn5j/oZVHbJW2hrq6uvLz80qVLcv8QERERERFRB4FMh2SHfCdHPjJr66Stqq2traiouHLlyuXLl3lhORERERERUXuG1IbshgSHHIc0Jwc8au6aJW0iIiIiIiKiTolJm4iIiIiIiMhITNpERERERERERmLSJiIiIiIiIjISkzYRERERERGRkZi0iYiIiIiIiIzEpE1ERERERERkJCZtIiIiIiIiIiMxaRMREREREREZiUmbiIiIiIiIyEhM2kRERERERERGYtImIiIiIiIiMhKTNhEREREREZGRmLSJiIiIiIiIjMSkTURERERERGQkJm0iIiIiIiIiIzFpExERERERERmJSZuIiIiIiIjISEzaREREREREREZi0iYiIiIiIiIyEpM2ERERERERkZGYtImIiIiIiIiMxKRNREREREREZCQmbSIiIiIiIiIjMWkTERERERERGYlJm4iIiIiIiMhITNpERERERERERmLSJiIiInJfDQ0NNTU1cisREbWO8Ul7zJgxXbp0iYyMVFuysrKuu+66bdu2aZYiIiIiInthfHVdkxtuuGHUqFH79+8XN23durVfv34ZGRnN17BLYGBgt27dfv31V8zPmjVrypQp8hJEROQUlyRtvAfg36qqKtGSk5PDpE1ERETkNIys+vTp87XZrl27EIkxuDp27Bhu+uSTT8aOHZubmyuvYwdPT09sRyTtRYsWPfzww/ISRETkFJck7V69euGovW7dOtGCQz+TNhEREZHTML4aOnSo+t/S0tJ//OMfc+fO1SziDG3SJiIiA7kkac+aNWv16tV/+9vfzpw5g5a8vDw1acfExDz55JMDBw7E28P48ePFAnDvvffiv1u2bOnRowduPXr06KFDhzw8PPDfNWvW1NfXi8W8vLwmTJjQpUuXkSNH/v777033SURERNSZSUm7oaHh1ltv/de//oX5N998EwOty5cv19bWYmbZsmXz5s3DYAnL//LLL+oqaWlpaMcArF+/fh988IEYXGmTthiMqY0YuU2ZMgXLT5s2LSUlxcZGiIhIz1VJu6KiYsSIEbfddltRUVF+fr6atHGkRtI+cOAAgvSoUaO6du1aXFysmA/uN9100759+wIDA5Gi8fawZMmS0NDQdevWYd3Dhw9jmZCQkOuvv37BggV4P1i+fDmSvK+vr3TvRERERJ0PxlceHh5FZpmZma+99hoGSFu3blV0SfuWW27ZuXMnBkuzZ8/Gf729vRXzOfABAwZgI8eOHdu+ffuNN9747rvvKjaT9vTp0/39/Y8ePYpR2f33329jI0REpOeSpH3fffdhBjn5hhtuQDAuKCiwePU48jPaRVpWD+6Atwe0R0VFYb68vBzzmzZtwvwTTzzRv39/8fWYDQ0NkyZNeuSRR65ujoiIiKiT0n4jmvD4449XV1cruqS9YcMGsUplZSWC8bx58zC/e/du3BQXFyduwsiqR48eGE3ZSNrqJeULFy7s2bOnjY2I/xIRkZZLkvbMmTPF/HvvvYcj8vbt269rStqxsbHTp0/v2rVr3759xZd54GiuNE/aX3/9NdrVby/H/IsvvoiZCRMmILrf0uTmm2/GfYlliIiIiDoxjHn69+/vaebt7Z2VlaXeZC1pw4MPPjhy5EjMbNy48Trz6W6he/fuXbp0yc7OtidpL126FIMuGxtR746IiFQuSdozZswQ83V1ddOmTbvxxhvVpI3/Tp48OT8/v6Ki4uOPP3YoaT/22GN4j6msrBTtRERERG5C+py2lrWkjSHT7bffLr5O/Isvvriu6YJBLYeStrWNEBGRnkuS9vTp09X/pqen9+jRQ03aCOGjR4+OjY1NTk5euXKlQ0kba3Xp0mXKlCnffPPNjh075syZo/2DLhEREVFnZX/S7tat2/vvv3/o0CEMuv72t7/5+PhgmYqKimHDhg0YMOCzzz7bs2cPBlGi3aGkbW0jRESk55KkPW3aNG3Ld999pybtuLi4e+65p2vXrmPHjl29erVDSRuCg4OxJPL24MGD16xZU1hYKNqJiIiIOjH7k/bChQuRgZGNR4wYof2hlpycnKeeeqp79+69e/d+5JFHoqOjFQeTtrWNEBGRnvFJm4iIiIjanv5z2kREdK0waRMRERF1BkzaRETtB5M2ERERUWfApE1E1H4waRMREREREREZiUmbiIiIiIiIyEhM2kRERERERERGYtImIiIiIiIiMhKTNhEREREREZGRmLSJiIiIiIiIjMSkTURERNSReMefe/3o+gc/uGfCax7jXhloccJNWACLYWF5fSIicj0mbSIiIqKOIS47Zvnex/W52vaEVbCivC0iInIlJm0iIiKiDsA7/pyNk9i2J6zIk9tERG3J+KQdHh5eXV0tt9ohKirK4ooZGRm5ublya6vV1NSEhYXJrURERETtT1x2jNMxW0xYXX9mu7quISStXGq0R01dQ1iGhRXRHpxaJrca4VJFXVxOpdxKRNReGZ+0b7755qKiIrnVisuXLw8cODA+Pl6xvuJjjz125MgRubXVYmNjR44cKbdqVFRUyE32QYavra2VW5t4enrifhsaGuQbNHBrZSXfSwywffv23r17jxs3Tr6BiIioQ9FeNH4hObC2vra6thpTWXU5/vvApw+Km7af+WTPhQP6mC0mbETabGBq2W0vR0uNNrz8U/Zje1IU6ytGZVX2filKbjXCR2fzn96fKrdqVFTXy032cXpFIiIbrnHSRqQ8ePCgSJXWVrwmSTs9PX3w4MFyq32GDBmSnJwstzbBczx27Jjc2tyKFSu+/vpruZUchNdVly5d8vPz5RuIiIg6FO/4c9rAjGi97OBKMT/h9SHrjm0uuFJ01zvjWkzamKRryK0FZmsiMiu8Eq4o1le8Vkl734XCR760OvqyIaWw+uZ1EXIrEVGrXeOkrWVtxWuStBGVBwwYILfaByvaSNr2WLJkSedL2rZP47sCXk633HKL3EpERNTRvH50vbWkLSbfpIBnDzw3zo6kjU1pt2wtMLfI2orXKmnv8iqY51TSTsyr6vJCuNxKRNRqLkna+/fvHz58OELOokWLCgsLRfusWbN+//13MZ+Xl3frrbeqy4uArU3ae/fuHWi2YsWKOXPmWEvaNTU1L7744ogRIzw8PCZOnOjn5yfasSlsYcGCBWPGjFm6dGlVVZVoz8rKmjdvXq9evcaPH//xxx9bS9offfTRkCFDbrjhBizw0EMPicYvvvhi8ODBffr0Wbx48aVLlxRzdHz55ZdHjRqFxebPnx8VFeXt7Y15rIjVMWPxDwehoaF4VGK+srJy48aN/fr1w2aXLVtWXFxcUVGBFXv06HHbbbdh5tSpU83Xvur777/Hs+7evfukSZM8PT1FI571HXfc0bt375kzZ8bFxYnGhx9+eMuWLU8++eTdd989Y8aMtLQ0xdKDV2z20c6dO++//348r7feeis8PByr4H7nzp2LxyyWwSNHX+C53H777Vu3bq2rq1Oanuy2bdumTp36888/iyVVqampWF48TnTl5MmTf/rpp/fff//NN98UCzzyyCPvvPOOmH/ggQcuXLigaDrxzjvvVDsRDwMPabTZCy+8gFcdHuewYcP+/ve/YwE868a7JCIi6oAe/OAebVrWJ220LPlm+Tg7kjY2pd2yCMyv/JyNtPn/ng9dfyyrrs70l3GvhCseb8SqiyHiIuhi5t2TuUu/NQ0ktEk7o7hm2o6E/3kudOCrMVjARtI+HVMybmt8z41RXddGLP4mTdyX2NTrv+ZM2X4R6247efXbebwTr2Cb160Km/T+xRXfpVtL2rM/S7p+Tfj/tyIUq798PFsxn6me+kECVsR9HQk1DdugqKxuxieJfTdHY3rm27T80tp3TuT2WB/570uCseI/P0xotlEiotZxSdJGOkLuqq6ufv3116dMmSJOZtpIcVLS/vbbbxGikpOTsaKvry+Sm7WkDb/99psI0r/++mv//v1FIzYlVqmtrUVaQ3jDPB4PMvmnn36KxtLS0tWrV1tL2orunDYSLLJiQUFBfX39u+++O3v2bMV810h3aME8Qr4Iq0pL57S1SXvJkiUrVqzA48dDevvtt6dPny5q1eI57UOHDiFSIqNiedw1ki0ascpdd92VnW16gzlx4gTqJv7MgaSNJyu2/NFHHyEwK1YevI0++uWXXzBz6dKlQYMGLV26VARpbBbpWizz9NNP478ocllZGWr+3nvvKeYni3VPnz4tltE7fPgw+hprvfHGG1gdLSEhIffcYxoEiP7C60cx9+Ntt92GNG6tEzdt2oTUjRk8ox9++KGkpEThOW0iIuospO9C0ybt8a/d8cIPG/NK8ye/PdqepI1NabeMlPt/l4YcCblUV99QcKUWWXf14QzFkaRdVdtw66ao907lITaXVNQhP9tI2tHZlVFZps8MllfVj3on7vPzBYp5UwjJcbmm4Rwew81rw30STReox+VUIiqfijG9pyM5Y3lrSVtpfk67sqb+lg1R+y6YRkFJBdUI2+KK9+e/Txcxvr5BORBQdLnCNJjhOW0ichGXJG31XC7S3fjx48WpZhspTkraCKJBQUHiVsWRq8e7desmTrFqH8PRo0cRKTFz/PjxOXPmqAs7dPU4HhJCo/a/8fHxJ0+eRLJF3BV5VWVn0kZuRxG0X7eOzImcqdiRtIcOHerj4yM1IntrH+S6det27NihmJM2nrtozM/P79GjB2YsPvgW+whWrVr1ySefiHkvLy+RhPFcevXqpT4X3Eu/fv0U85PFoxKN1iC3z507F89dfFwfj6dv377l5eVnzpzBU/jXv/6FRxIYGIhlFOuduHnz5ueee078lUHFpE1ERJ2DPmmXVJbmXynEhIx9Lt5r1sezxE1OJG3tReD5pbX/uSwEmdn+pH0oqBj5XF3S/qvHTZs6IJ8eB2R15HbM4I7e+i1Hbbf/6vHvg4qnfXT1BPV3QcVzPk/CzOrDGY/vTc28VKPepDBpE5HLuDZpK+bQeODAAcWOFKfOdOnSRfu932rSRjIc0GThwoVoqaure+utt6ZNm/bAAw+sX78eSRtb1m4KcKcim33wwQcvv/yyulk1pKWnp6ubBZFOpaR944034i7mNBk/fvwff/yB9n379uF5DR48GGk2IaHxmD5Ak7SRFbUbxwNWk7a/v//dd9/ddA8mTz/99KFDh5TmSfuHH37QbkH82eLvf/+7OG2rdcMNN2jrtnfv3ueff15pnrTLyspQXjGvf/At9hFs2LBBnD2GoKAglEIxP5eePXuq9YERI0aUlpZqT+ArlnoQLl68eN111+3atUtdDD1+9uzZtWvXnj59+v333//mm2/w76effqpY70Q8r7fffhv1vOOOO1atWnXliulP10zaRETUObR49bg6tZi0LV49rm35x4vhKYXV9idthOE15tPggpq0sREkWHXa8rvpZDLWQgYe/278jE8SZ36SKJKz9BhWHcoQARsB/peIy2q7mrSXHUjXbrmu3nTVnjZpv/5rTo/1kVhdTBO2xU/bYRrnXKmq3/Rj9tA3Y7utj3zq69TSStPJBiZtInIRlydt9ePTc+fOVb9z22KKU2fsP6f95ZdfPvHEE+JUalZWVo8ePWwkbWunQy2Skvbw4cPVjz1b9O2334pLyhW7z2njAffu3Vv9DDmMGzcOkVWx45w2Ho+vr6++UZwSF5BUxSXc1pK2Sn3wLfaRYiVpZ2dn9+/fX//bZlLS1quvr585c+Zbb72F1TMyGt+n9+zZ8+qrr2LFysrKyMjIRx999P7774+JMf0E6I8//vjggw+qq+s7saam5rnnnhNPnEmbiIg6hxa/EU2dWkzatr8Rrais8Zx2QEpZ381X220kbfvPaTc0KDesCRc/3414jHxuO2k7fU77G/+i+3eaTmJbU1PX8PjeVARyhUmbiFzGJUl7y5Yt4rPHmFE/p435+fPni8/3IkrpU5w6s3///gkTJqSmmg6mwcHBCK7WkjYi39KlS8U8knDXrl1tJG0E8mHDhn3++ed4YOXl5UiMNpJ2Tk5Ot27dkEtFejx8+PDdd98tvksMKfrMmTOYCQwM/OGHH8Sz271796JFi8S6SLze3t71Zle32EQbPpEJly9fjnvBY3vzzTdnzZol2leuXIlyKebPJ6srauHxjB49GuET944SifPwhw4duuuuu5BXcb+//vrrwIEDxbX0FpO2xQffYh8pVpK2Yn7MeC5XrlzBNvH0xR8mWkzaiMRPPvmkYr67e+65RzzflJSU2267Tf0uOnTTkCFDxDxeV0OHDv3qq6/wHMX3yYlO/P7771EHxXyZw+LFi7/88kuFSZuIiDoLG7/yJU0tJm39r3z936UhR0Mv1Tcol8rrpu1IECeoSyvr/+e5UP+UMsUcv5GErSXtqtqGnhujPjxj+px2eVX9iu/SrSVt3MX/ez4UyVYxvV83PPV1qu2kHZNd+ffVYWdiSzGfealm3NZ4G0kb6Xr8u/EY12DLCNL9X4n+5I985HnMHwgoKjF/JHvfhUK/ZNMzQvvDXyTvOGd6RtmXa/6yPORKVb34ejYiIqO4JGkjNY0dO7ZXr17a7x6vqKhABELuQpZDJtSnOG2cQx5G1ho8ePDzzz8/d+5ca0kbWWvJkiW4L2RUZDbco42kDUihs2fP7tmzJ5L8zp07bSRtePbZZ7HkzJkzxX+R5ZDx+vbtO2nSpKNHj6IlMzPz6aefRuIVT0rctWIOrnh2t99+u/q93Fra8IncuHnz5t69e+ORI6aqF4QjBuO5o/3kyZNX12wOjwf5E890ypQp6iUA+/fvx4o9evTAw754sfEPzBaTtsUH32IfKdaTtvgCvH79+vXv3/+BBx4ICwtTWkrayMZ4CpcvN14YtmDBAmxBzHt4eHzxxRdifsWKFXhUYh7S0tLQiXhs6Ai1EwMCAu677z7cF57Rpk2bxB8LmLSJiKjTWL73cTUt207atfW15dUV2umf2yaLW7ERabNIube/HL3uaCbS8v+uDFO/exx+ibiMAIx8i/C8cHeKtaQNaYXVk9+/+N/PhQ56LWb76TxrSVsxbxPLjHonbuYniYu/SbOdtOFsXGnfzdHI29g+2m0k7aKyuqFvxv7Pc6avT8d/c0tqHtiZhGDfdW3EY3tS8F80+iRembAtHveFbT7/fbq47Bzw7PDgEdS1GyQiaiXjkzZRmwkJCUHelluJiIg6nbjsGOl70RydsDo2Im+XiIhcg0mbOpgwM8V8af3KlSvXrVsnL0FERNQZecefczpsY0XpunEiInIpJm3qYM6ePTt9+vTBZs8884z+O9iJiIg6q7jsGO1l5HZOWIVns4mI2hiTNhEREVFH4h1/7vWj6x/84B4bp7hxExbAYjyVTUR0TTBpExERERERERmJSZuIiIiIiIjISEzaREREREREREZi0iYiIiIiIiIyEpM2ERERERERkZGYtImIiIiIiIiMxKRNREREREREZCQmbSIiIiIiIiIjMWkTERERERERGYlJm4iIiIiIiMhITNpERERERERERmLSJiIiIiIiIjISkzYRERERERGRkZi0iYiIiIiIiIzEpE1ERERERERkJCZtIiIiIiIiIiMxaRMREREREREZiUmbiIiIiIiIyEhM2kRERERERERGYtImIiIiIiIiMhKTNhEREREREZGRmLSJiIiIiIiIjMSkTURERERERGQkJm0iIiIiIiIiIzFpExERERERERmJSZuIiIiIiIjISEzaREREREREREZi0iYiIiIiIiIyEpM2ERERERERkZGMT9pjxozp0qVLZGSk2pKVlXXddddt27ZNsxQRERERERFR5+SSpI1cjX+rqqpES05ODpM2ERERERERuQmXJO1evXohWq9bt0605ObmMmkTERERERGRm3BJ0p41a9bq1av/9re/nTlzBi15eXlq0o6JiXnyyScHDhz4j3/8Y/z48WIBuPfee/HfLVu29OjRA7cePXr00KFDHh4e+O+aNWvq6+vFYl5eXhMmTOjSpcvIkSN///130RgZGTlt2rSuXbtixaVLl6anp4sNTpo0adOmTdjCrbfe+u6776ob+eijjyZOnNitW7c+ffo899xz5eXloj0wMHDq1KnY+IABA955553q6mo0pqWlzZs3D4+2X79+H3zwgboRIiIiIiIiIotclbQrKipGjBhx2223FRUV5efnq0k7JSUFSfvAgQMI0qNGjUI8Li4uVszB+Kabbtq3bx/iLlI04u6SJUtCQ0PXrVuHdQ8fPoxlQkJCrr/++gULFvz666/Lly9Hkvf19UX76NGjH3zwQR8fn+PHj2PjBQUFYoN///vfN2/efOLEibVr12IjiPHiEb799tsI3lj45ZdfRvtrr72mmOP6jTfeeOedd+7Zs+f111/HI4+KiiotLUXqxjM6duzY9u3bsQBWbHqiRERERERERBa4JGnfd999mEFOvuGGGxCMEX0tXj2O/Ix2kZbFOW3RvnPnTrQj6GK+vLwc85s2bcL8E0880b9//5qaGsw3NDRMmjTpkUcewfzAgQOnT5/+xx9/5OXlqRvXbhAWLlzYvXt3rKW2CMOHDxePdv78+bfccouI/SDuZffu3bj3uLg40SjOkOs3QkRERERERKRySdKeOXOmmH/vvfeQVLdv364m7djYWKTirl279u3bd8qUKWj39PRUmgfjr7/+Gu3qt5dj/sUXX8TMhAkTEN1vaXLzzTfjvtB+4cKFf/7zn9dffz2WRPyOj4+XNggffvghbhVRfMuWLUjsN9100+TJk2+99VYsicZx48ZNnTpVXV7YuHEj1lLvEVm9S5cu2dnZ0mJEREREREREKpck7RkzZoj5urq6adOm3XjjjWrSxn+Rb/Pz8ysqKj7++GOHkvZjjz2GhFxZWSnaJdXV1aGhobff/v+3d9/RVZT9osfvWveue9c95573nHXOAYEACSWhCAivSBFeBeEVRAiIiooURUTQ0DtBilIktCAEkRpBeuglIEoTpKYnpBISIL1XEkiy7y95YNxMCsUnoOH7WVms2c88M7OTzD9fZvak2dChQy2lSnvQoEHqmvbp06dlh9u2bZP5N27caN26tSrtjz76qH79+ikpKWq+vHP5d+3atdXuXV0HAAAAAOBhVEppOzo6Gi+vX78uBWuUtkR4hw4dgoODIyMjx40b90ilLVvZ2Nh069Zt8+bNK1as6NevX0xMTGFhoVT0nDlzJKF37txpb28vy2qH1atXnzBhwu7du8eOHSs7WbhwoYyfOXNGlmXz2NjY48ePN27cWJV2UFBQrVq15M2vWrXqq6++atWqVURERG5ubps2bVq0aCGD7u7ucsSzZ8+qdwUAAAAAQJkqpbR79uxpPbJ9+3ajtENCQnr06FG3bt1//OMfksGPVNrCy8tLZkpvSwlPnDgxOTm5oKBAGrhLly716tWTbJ40aZJ6ZrhMa9++vRzCwcGhSZMmrq6uxmPDXVxcZESafPTo0RLSqrQtVs8eb9my5fLly9X8uLi4YcOGyc4bNWo0YMAACXI1GQAAAACAMukv7T8J093jAAAAAAA8GZQ2AAAAAAA6UdoAAAAAAOhUZUsbAAAAAICngtIGAAAAAEAnShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQidIGAAAAAECnyi3tny8eHb/UqdOwNo361m7Yu0Z5X7JW5shMmW/eBQAAAAAAfymVVdoB4X79nd8qHdUP/JKtZFvz7gAAAAAA+IuolNL++eLRii9iV/wl23JxGwAAAADwF6W/tAPC/f5IZqsv2cOf8Mp2Wm5BeEKeeRQAAAAAACv6S9v6pvEz/mePXDhqquiUjNS/D24uC0371Vuxy+16wg0ZkX83Hf2xk9MrxjTZj3nXT9uin+KdtkSbRx/drAOxH7tfM48CAAAAAKoEzaX988X7ulpKWyp67PIJ1oPJGSmqtD1O7tpybFvz/o1kWUbmbVoQfjOiybu2xsw/2z3kukrb/2bur+FZ5lEAAAAAQJWgubTHL3UylbbT0lEJaYkvD2tjDCalJ0tX2/eplXc77/n36lvPl0Hrl7I38wGeKl2lDQAAAACowjSXdierolal7TjZcezyCReuXHJ4625FJ6YnqWvaMUkxny0cYT3f9CV7M+3/X0d6u/6c8E/XsPrTAqbvjfGOzum9MuLvc668uTw8JfuOmrPiRGKLr640cA6Ur1WnktRgz+Xhsw7Evr/66kvzgl9dFBqZnK/G/+dwr6y8QrW89WLK26uuquVryfndl4VXG+/bcHrgbp80NWiUtmwuM2WV7VR/mXYz7baaUKaL17LbzAv+t1HedtMCvv0loaiIYgcAAACAqkxzaZuehSal3XtKb1k4cuHonI3z1WBCWqIq7Z6TegZHh0hve54/snDr4l6Te5lKW/Zm2r+UturetJwC2yl+gzdcKygskpef/RhltOvJ0MyEzOLqlh7+z7E+IfHFzzCT0h6+ObqoeK5lwZF4aXU1uczSvnW7UCp947lkWb6alC9FrW72Ngo5I7fgSFCG7E2+xmy/3n9tpNpDaREJec9N8D3gny5vU97P2B3Xc/IKKW0AAAAAqMIqvbT7TOkjC60GNYtLifvnmK6yHJ+aoEpbfbX55MUBXw1csHlhSHSIJLdx6bu80k7KunvtetimqMXHEtTy8ZDMNvOCf593jwT2Lq9UtbDzcvGCkA7/22gftVxmae+4nCrz1aDYfjm13+ri8TIL+VJUdrNZQaZBwyc/RM06EGsaLHM/AAAAAICqQXNpl757/K2pdx9FPvDrQaHXQxu/Uzc+Nd66tK27OiLm6nsz3jdGyrx73Cjt0duvS7Kq5fNXs1746opa3nwhpdOi0C5Lwz5cF/n3OVekny33l7ak9f/53Estl1nacw7H1Z8W0M01TH11Xhzac0VxeBuFLK3+kfu1V1xCui8L/+zHqEYzAi0lN5zbTPIzvlyOFr832Xav792bzw2UNgAAAABUYZpLu/QT0d6a1td4+eNPW77ftzouJa7kiWg1u4/rZoptr1Dvj+cNMV6WfiLaA0s7MOaW/fRANSfzVuErC0MrLu1/cfJWt5pbrEpbWv2d7+9+YNuaUciy1vXnu5fT9/ulq9Iu07BNUbMPck0bAAAAAJ4hmku79F/56jvtbePl8+83iIy9drvgtpR2u6Gt41Pj3XavfGnI32VV8/4OS7a7BkeHNO1Xz5hf+q98PbC0vaKym8wMys0vvkydkl3w4tzgiku706JQtZPCIkv/tZGqtG8XFDWfHbTyZGJBYZEsyx4ycgssVoXcc0X4+rPFn+IWG39LrqC0IxKLP6ctNS77v556e8rum7du8zltAAAAAKjKNJe26O9893ZxVdpvO/9e2vLVa3KvwqJCdfd4q4HPr9zz3bW4qIzsjOsJN9Yfcm81qJkxU/Zj3vVDlLaY7xn3/KygVxaGDt0Y9dqSB1zTDk/I6+AS0mZe8AdrIhcciTeePR6fcfvd76/+51ifulP8P3a/Ji8tVqUtW726KLT13ODXXcO+OhhbQWlbSp493m5+sLzzBs6Bqs8pbQAAAACowvSXdkC4n+m5aI/xJXuQ/Zh3DQAAAADAn57+0raU3EP+R2Jbti193zgAAAAAAH8JlVLalpIr29a3kT/8l2zF1WwAAAAAwF9XZZW28vPFo+OXOnUa1qbiS9yyVubITC5lAwAAAAD+6iq3tAEAAAAAeNZQ2gAAAAAA6ERpAwAAAACgE6UNAAAAAIBOlDYAAAAAADpR2gAAAAAA6ERpAwAAAACgE6UNAAAAAIBOlDYAAAAAADpR2gAAAAAA6ERpAwAAAACgE6UNAAAAAIBOlDYAAAAAADpR2gAAAAAA6ERpAwAAAACgE6UNAAAAAIBOlDYAAAAAADpR2gAAAAAA6ERpAwAAAACgE6UNAAAAAIBOlDYAAAAAADpR2gAAAAAA6ERpAwAAAACgE6UNAAAAAIBOlDYAAAAAADpR2gAAAAAA6ERpAwAAAACgE6UNAAAAAIBOf4rSzs7OLiwsNI9WKD8/3zwEAAAAAMCfgP7S7tix40svvWQeLZ+rq2v16tXT09PNK8pRUFDQpEmT6dOnm1cAAAAAAPAn8PRLe968edWqVXv40r5z547Md3Z2Nq8AAAAAAOBPgNIGAAAAAECnJ1faaWlp06ZNa9OmTe3atVu1auXm5qbGVWmvW7euZcuWdevWHTFihMxUq7Kzs6dOnWpvb29nZzdy5MiMjAzL/aUdEBDQs2dP2eqFF15wcnK6fv36vaMBAAAAAPB0PLnSLigo+Oyzz9asWbNv374PP/xQavn48eOWe6X91ltvbd26VZZtbGz69OmjNpFpDRs23LBhw7Zt25o1a9a3b1/L/aXdoUOH99577+zZs/v37//000+TkpKsDggAAAAAwFPw5ErbWlxcnNTywoULLfdK27iO7ebmJi99fX1DQ0PVtW417unpKS/9/PysS/uFF15wdHQ8efJkQkLCvX0DAAAAAPA0PbnSzszMHDZsmL29fb169Xr37i21LI1tKfU5bS8vL3m5e/duldZ2dnYN7rGxsdm1a5d1aZ87d+6NN96oUaOGjHTp0kXi3PqIAAAAAAA8eU+utOfPn29raxsUFJSfn3/p0qXySvv777+Xlz4+PsHBwbKwevXq+/ZS1hPRZIcyv1mzZkOHDrWaCAAAAADAU1Appd2oUaNV98vLy3NxcbGxsTl16tTNmzfd3d1Npf3ee+/t3Llz0aJFdevWVZ/HFsOHD69du/bcuXO3bds2YsSI7777zmJV2oWFhYMGDZozZ87p06dlW3t7e1m2ficAAAAAADx5lVLa1UpJSUnJysoaOnRovXr1XnjhBVXX1qW9cuXKVq1a2draOjk5qWeMC+lzWdu0aVM7O7vu3bt7enparEq7oKBAir1Lly6yz8aNG0+aNCk/P9/6nQAAAAAA8OTpL20AAAAAAJ5llDYAAAAAADpR2gAAAAAA6ERpAwAAAACgE6UNAAAAAIBOlDYAAAAAADpR2gAAAAAA6FTppV1UVHTr1q2MjIy0tLTU1NQU4KmSk1BORTkh5bSUk9N8vgIAAADAH1a5pZ2bmythI1WTmZmZnZ2dA/wJyKkoJ6SclnJyyilqPmsBAAAA4I+prNIuKChIT0+XmCGw8aclJ6econKiyulqPoMBAAAA4HFVSmlLt6SlpWVmZprLBvjzkRNVTldiGwAAAIAulVLa6enpZDb+QuR0lZPWfB4DAAAAwGPRX9q5ubkZGRnmlHkURy8kpKU/iXvOI66nRcf8obdaGa7eSL8ep///KWITM4OupppHH0J8UlZwZBkbZmRmX76SbB7V4an8XuSk5TPbAAAAALTQXNpFRUWpqakVfDY7Ja3cVYaaX3jHJJSRmg+z7SP51DV018k48+jDuRGX+fxY3wreUr95V7YcizGPPoTBC0P2ni5+V4u2R439Lty8+nG57bk+bd1V82j5jKOXt6FfWErHKf7mUR0e+Hup4MdesQo2lJNWTl2eRg4AAADgj9Nc2uoPepkj5p7w62kvTvQzj5ZSZmlv/yVmpJu27FQeWHQVWLIj6uuNkeZRK0fOJ0RcTzOPPgSjtCVlz/glmVc/rvKCuTzG0cvb8GmV9mOfCQ/cUP3pL/M5DQAAAACPSHNpqz/oZS6Ye0Kupb0wztc8WkqZpb3p6M2RKyrKpMdQcdFVICMzu9V438cL6QcySluv8oL5gcrb8GmV9mOfCQ/cUP3pL/M5DQAAAACPSHNpp6WllXfr+Ird0W0m+f3LcC/JswEuITklt/JKwj0/xqfZON/FO6Kysu7ONEr7lE/Sq9P8pc8lvZ4f61vHyVu2XbQtSlZF3kz/eHGow2gfSXdXj2jrbTceufnJktBO0/zHrAwv/XlvWSuRLF/jVkX0XxBsFN1J78TXnAMaj/Hp/VWQf3jxx5InrY5YWHIsRY4yeXWEWvY4ESeHUMtyxA2Hb3abEfDiRL9hrmE34+/+H4ERzLIg7/mtOUEdpvi/OSvQKzhFTcgp66DWGxqJKwuj3MKnrLkqO5H5P19KNPaw9uCNv0/wlT04LQ+LSyo+dGJKlrwT668Nh2+onYx0C//82zD70T6tJ/rJt6D2cMYvqfuMQGOH8j3KPtV84+hGacuPffCikPqjfLp+GSDjFZT28cuJfecEtZ/sJ29P3nlmZvEvooJvpLzfi0npMyH8etqHC4LlJyDHOnAmXk2LTcwcsjj0lan+8jVt7VX5pZTesDQ5deUENp/TAAAAAPCINJd2amoZj84ymK5pf7E8TKIrPSM7KTXro0UhkrJqXJW2ZJjEmHHd2PqCpPTzy1P8ZSQrO0fyUrp9wZZrxrYq0iTtrPepbPkppsv0AHkb2dk5p32SpPDV5IDwVFlWDXzsYqK8yfikrMtXUiT8su6luhzRiOReswMlktWyHHHNgeI0FSv3XpeWVv/VYF3a8p2q5v/VN0l6Tz3uq8yDWm9o3boSw/JTkuXfApIlldXnjaVO5Z3ciMuUN7lkR9T731xRb6NMspO2k/y8Q4oP5xua0main+f5hJxHKW35FjpM8V+177r8bKXn5XdXQWnLd+cXVnys5LSs3l8FyVvNKf8bKe/3UibTmSDf1PZfij8PHxaVJrGt7nif6R4pvwtZkJ+Mx4m4hOTiIz7wmraQE9h8TgMAAADAI3pqpS19WH+Uj2S2enk9LvP5MT5qWdp167GY12cERFk9gNo6k/acipMcNVbdjM+s4+St+tb6zvPdp+I+Xnz3yrPSaZr/uYDfH5dt3KU8be1ViUBjfOqaq+o68BszA49eKM5Ryb8es+7m6MWgZMlCY7LpXneZpmLPurSt7wb/amPk0p3F/V/eQcssbev7t/8x9W7zvzrNX96MMS4vAyNSK7imbb2TA2fi35tfXOYPX9ryrvovCDZmPvzd47IH5wq/kfJ+L2Wq4EyQl8OXheWU/JDHr4q4FpNurMqhtAEAAAA8KZpLu4K7x3PuL20JvHojvaXcjK8OU/ylEnNK2lUifMfx+x7cbZ1Jrh7RpqeRNRvnq7LKuns9zyVYl6H4rxFe1k+fNoru/W+uSFQb76TX7EAVw3LQoUuLW330yvAfjxZflRWj3H5fzilV2rJWPXK8vNLefPTmmJXF30h5B31gaUsYqy79t+Fe/b/5/QfY9cv77sc2Me0kNOru0+kevrS/3XXfj90obY8TcfJrNb7UfzRcDEqWb+SduVeGLA79ZEmouvG+vG+kvN/L9PVXrfesPiNgOhPaTPIzfgL95l0ZvKg4vJNSs1y2RvWYFdh6ot+k1RFJJefVA0ubu8cBAAAAaKG5tB/+iWgSxs3H+aqP75pIu570Tmw13vcXq260zqSdJ2IHlbqmrS6PV1za5V07lRhbV5KXJslpWfajfeRtS8nLck7JpXh526lWH/82lbbkbsXXtL/ccFUVdXkHffjSfnmKv/Hp7gcy7eTg2bvXtC8EJr8y9fdL0xWU9sNf087OLv6/j8tXiq9XSx5Ln1dc2uX9XspkOhOGuRZfxC5PRmb2+FUR6kMEDyxtnogGAAAAQAvNpV3xX/mKismwcfJOSs1SgS2pOfa78KSULAkzSWsjGlW7eocUf0z6hNfd2JamemfuFZkp20pUvzrN393zpixLZg9wCVmy4+4zrsosbYnJUz7F9fvj0Zv//DIgLKr4s98y+MK9zwOHRqXJsdSc+KQs68vpU9dc7TI9YNrau324eEfU3B/vfiZckSO6bI1KS8+WN7Ngy7UyP6ct71C9q0O/xTce46M+p13eQR++tOVn0mNWYFh08bcTci3tp5Ib3csjO2k/2U99djowIlWWj5R8Tlt+/vVH+chPQ5ZjEzIlessrbfkeZavVB27Id5qcljVjQ2R5pZ2VndNwVPH/UOSUfGBeftEVl3Z5v5cyWZ8JEtKvOQdsOHxDel6WPU7Eqdsitv8Sc75kzzLutDxM/Y+G9YamfSr8lS8AAAAAWmgu7aKiotTU1ApuIB+9MrzeSG8JnpyScpu3+drzY3yaj/Pt/03w5St3r2oatXz5SopEl2rR2MRMqUppwm9KHn52LSZ9yOJQ25Hezcb5frsr2nhuWZmlLW08Zc3dwJNQfH6s798n+E74PmLQwhCj6CTwes0OtB/t8/IUf+l24wPkEvz/Y9hl9SAx9ce9Im/e9+lfOaLsU3pP3lt5zx6X9+w4O7DJGJ8e9z97vMyDPnxp55QkZdtJfrLnbjMCdp8qt05zSnYy0i1c3qF8C9bPHs8p+dPfEth95wRJPI9ZGV5eaYuI62nvf3NFfoMSxt/vr+jZ47JPmdP7q6BPloTKD7/i0s4p//dSmulMuB6b8dmyMAl72Xbsd+HyUgbP+iX1m3fl1WnFzx6f6R6pbjs3bWgiJ62cunICm89pAAAAAHhEmktb5ObmVnBZ+y+tzHuVTXePl2a6exx/TnLSyqlrPpsBAAAA4NHpL22Rnp5ewae1/7renB34q2/xBXZrlHYVIKernLTm8xgAAAAAHkullHZBQUFaWloVi+2LQcn//PL3P+5loLT/6uREldNVTlrzeQwAAAAAj6VSSttSEtvp6ekZGRkVfGYbeLrk5JRTVE5UMhsAAACARpVV2kpubm5qaqr6018kN/4k5FRUf9BLTk4+mw0AAABAu8otbUvJ08jVn/5KS0uTsEkBnio5CeVUVH/QiyeNAwAAAKgMlV7aAAAAAAA8UyhtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQKfKKu3Tp09Xq1atVq1aycnJ5nWa5OTkpKSkmEfLcuPGDWO5b9++3bp1s1oJAAAAAIBOlVXaI0aMsLOzk9j+7rvvzOt0iIyMrFGjxqpVq8wrSnFycmrQoIHxcsiQIf3797daDwAAAACATpVS2unp6XXq1Jk+fforJcyrdQgLC5OMf5jS/vTTT61LGwAAAACASlUppb1+/XrJYB8fn2XLlsmCr6+vGj916pS8XLx4cbdu3STFe/bsee3aNRm/c+eOjI8cOXLIkCEy3rZt2+PHj6tNbt26NXv27MaNG9euXfvdd98NDQ2VQWdn52pWNm3aJIPLly9/7bXX7OzsZPKYMWNycnIk+K2ntWjRQqa9+eabnTp1UjuPiYn5+OOPbW1tGzZsOG7cOJlf8ZvZu3fvyy+/LIPt2rX75ptvcnNz1TgAAAAAAIZKKe0uXbq0b9/eUvIB6erVq0+ePFmNq9J2dHS8cOHCnj17bGxs3nnnHcu9uG3evLmnp+e5c+deeumlBg0aqI795JNPpGwXLFiwceNGqVxJ4tjY2OjoaA8PD9lk2rRp58+fT0xMlJmSvosWLdq/f/+sWbNk1ddff11QUCBr+/btK/ktC97e3har0s7Ozn7xxRdbtmy5bt06qXQ54htvvCGblPdm4uLiatSoMXPmTNmVu7u7lHlhYeG97xgAAAAAgLv0l3ZgYKCU6ty5c7NLdOvWzd7ePj8/33KvtA8fPqxmDh48WMrZcq+0nZ2d1fjq1avlpewnICBAFiSD1bh0+3PPPTd9+nTLg+4eb9u27VtvvaWWTXePG6Ut28oevLy81PjOnTvlpdR1eW8mMjJSFiZMmHDx4sXMzExjhwAAAAAAWNNf2lOnTq1Wyp49eyylStvJycnW1tZSqrS3bt1areTm84MHD8rC6dOn7+7aYmnWrNnAgQMtZZW2i4tL8+bNa9eu3bVrVwcHBylqNV5eacv7rF69ekFBgRqPiIioVvL8tvLejCz/8MMP7dq1k5c1atQYNGhQdnb2vb0CAAAAAHCX5tLOz8+Xyu3Ro8f5e3799VcbG5t+/fpZHr201eXxb7/9Vo2ra9ozZsyw3Ctt48Hm6o+Kbdu2Td6ATGvdurV1adevX18tW6xK+/vvv69W6pr2kSNHynszxh4yMzMPHDgggxs2bDAGAQAAAABQNJf27t27JUG3bNliPThkyBAp5JiYmEctbVkeOnRo7dq1582bJ1mrPqcdHx8v40lJSTKnV69eHh4eoaGhZ86ckZcrVqyIjY09fvx448aNjdKeNGmSrJKuVtfVjdLOycl58cUXW7RoIatcXV3V57QLCwvLezNyxO7du69evfrs2bNLly6VwRMnTqg5AAAAAAAYNJf222+/Xbdu3aysLOtBT09P6dIlS5Y8RmnfunVr1qxZpmePKwsWLLC3t5fDyf4tJXePN2nSREZGjx7dpk0bo7QjIiK6dOlSq1atHj16WCp89nhaWpql/Dcja2fPnt2+ffs6depIoq9bt05NAAAAAADAmubSBgAAAADgGUdpAwAAAACgE6UNAAAAAIBOlDYAAAAAADpR2gAAAAAA6ERpAwAAAACgE6UNAAAAAIBOlDYAAAAAADpR2gAAAAAA6ERpAwAAAACgE6UNAAAAAIBOlHblik9I2PjjFvmSBfM6AAAAAEBVRGlXIqnrhYtdx0+aKl+yQGwDAAAAwLNAc2knZN6ZvOvGv4/2CYm7ZV5XoteK8L+N9snNLzSv0OFhdltUZMm9fXfasSsZjWYEykhlkK6Oj0/YuWuPKm35WrlqjXkSAAAAAKDK0Vzae33TvjuZWHeKf5mlHZt+u9Ykv3+6hv3wW7J53R92LTnfdqq/ebSUT364tubXJLWclHVn++XU+9froa5mF1/HtoptShsAAAAAngWaS1tp4BxYZmnP94wbvf361ospnRaFmtf9YREJeTaT/MyjpXy4LtIo7UqiMvvosV8krY3Y/sZlMXePAwAAAMCz4ImWtv30QK+o7Fu3C/9jjM/VpHw1eCkq+/lZQXMOx3VzDWs0I3DxT/FqfNFP8YPWRw7fHP2KS0jz2UHHrmQY+1l9OsluWsB/j/OVYg+MKT7QgiPx9acF/K8RXrKHN74Nl5Gfr2S8sjC04fTAulP8ZScFBUW5+YWy9m+jfWpM9JOFQ/7p6tBqn9dTbzu6Rcg+JdfnHo4rKLx7T/m/jvSWw/VZGSEzB2+4duveneflUZm9/+BhXz//3z+hHV98J7l5KgAAAACgKnpypX0qNLPJzLtZ+8kPUV/ui1XLkrtSvyHxeZaS27ltp/idjciylJT2i3ODs/KKy/bc1az/GuurPoa95tek1nODb6bdluX9fuk1J/olZt6xlLqmHRR7S0V4Tl7hywtCpJbVuPU1baO0pZ/tpwfKuPR1Wk6BtPr0vTFqjpT21ospsiCt3mtFuES4Gi+Tyuxde/aFh0cYH8/mWWgAAAAA8Ex5cqU9aH3k/HuZKtVdd4q/umxsfWFZDN8cveRYcZdKaTttiTbGG88I8r6eIwuS67KJMT5y63WXo8WXwSu4e7x4V1vv7qrM0t5+ObXn8uIr4Yqku8S/elKalLb0vxrfdinV0S3CmGaiMnvr9p2JiUlkNgAAAAA8s55QaafnFkiy1p8W0GhGoPr63597HQ0qviHcVNrjd96Y71kc5KbSfnFu8Pmrxde6/9cIL+tnjK8+nTR0Y5SlVGnLbiWeOy0K7b0yos/KiM9+LJ5jKae05xyOm+hxw9hW1Jzopy6bW5f2Af/0bq5h1tMMKrM3bd6al5dHZgMAAADAs+wJlfZ3JxOtLxqLrw7Gvr8m0vLopW0/PfDitd+vaTttjZ5TcqncurSLiopT2Tu6+Bp4QWGRVHTFpb35Qsqb91/T/rdR3vkFxRe1H6a0JaddSv5u9spVa8hsAAAAAHjGPaHSbj03eOf9f0/rRkr+//3COy2n4FFLe9P5FNlbdHJ+YZFlj09ancl+KdkFlpI/Ifb/Rnln5RUWFBTJqv8c6yPtbSn5fPWwTVFGacvyrP3FHxGXcePQEtWysOpUkgxKZr/xbfhXB+9+jPxhSnv33v1nfzt35KefyWwAAAAAwJMobb8bOdK96hKxtS5Lw1acSHzU0hZrzyTZTvX/22ifTotCrQ80eMO1/xhTPCjLh/zTW3595eUFIX1WRgzfHG2U9rmrWXWn+P/3ON+D9z97/Gba7d4rI/59tE/NiX7yBu49evyhSvv7Neuzs7OltFVsk9kAAAAA8CyrlNJ+1nw9b4E0ttT1iVOnyWwAAAAAeMZR2hqMnzR1znyXtet/2Lv/IJkNAAAAAM84ShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQidIGAAAAAEAnShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQidIGAAAAAEAnShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQidIGAAAAAEAnShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQidIGAAAAAEAnShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQidIGAAAAAEAnShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQidIGAAAAAEAnShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQidIGAAAAAEAnShsAAAAAAJ0obQAAAAAAdHpWSjs7O7uwsNA8CgAAAACAbpVS2vn5+W5ubq+++mrt2rUdHBwGDx7s5eVlnvS4kpKScnNzzaMVcnV1rV69enp6unmFxZKVlWVra1utWrXDhw9bj+fk5KSkpFiPAAAAAADwMPSXtjRq9+7dpV179Ojh4uIyadIkie3nnnvO09PTPPXRbdmyRfYcEBBgXlGhefPmyVZllvamTZtklZ2d3cCBA43ByMjIGjVqrFq1ymoiAAAAAAAPRX9pT5gwQdp1yZIlxkhqaqqzs7MUuNWsx+Tu7q63tLt37965c+epU6fWrFkzMTFRDYaFhcl8ShsAAAAA8Bg0l3ZmZqaNjU23bt2KiorM6yyWO3fuSMFOnDhx6NChtWrVCgwMlGnr1q1r1aqVbNW7d29JXDXT09Ozb9++jRo1qlev3jvvvHP16lUZ7NSpUzUrkZGRMvjrr79KKsvm7du3P3r0qHGsU6dOdezY0dbWVjYfPnx4maUdEhIi425ubpcvX1YLMujs7Gx9lE2bNpm2AgAAAACgAppL+/z581KnX3/9tXlFCVXaDg4OK1euPHfunKSvxK2MzJkz5+DBg2+88Ubjxo1TU1Nl5r59+6ZNm7Z79+41a9ZIbHfv3l0GAwICZs6cKfO3bt0qB8rLy/P29q5Ro8agQYMOHz48atSo6tWr//bbbzJTxp977rnXX399y5YtS5YsadCgQbWySnvGjBkyLTY2VpZbt24tZS4L0dHRHh4eMl/egBzFuNANAAAAAMDDqJTSlnI2ryihSnvkyJHGSJMmTYYMGaKWk5OTbWxsJMKNtcq4ceNq1qypnhxuunt86NChzZs3v337tiwXFRV16dJlwIABsvzpp59Kz2dmZqppZd49LltJ2Pfq1Su7hGp49eQ27h4HAAAAADw2zaUtcVurVq2K7x53dnZWLzMyMuRl7dq1G9xTp06dCRMmyKqDBw926NBBwvull15q3769TJNtLaVKu3PnzhLhxua2trbqurQkd8+ePe8etZzSlkNUK0UdndIGAAAAADw2zaUtxo8fL5nq4uJixHZ8fPycOXPy8/NNpV1YWNi4cePBgwcb2yq3bt2Sxpb95ObmpqamDhkypNr9pe3v769mfvzxx82bN5f5921vscgmDg4OUvLqZZml/cEHH9jZ2Z09e/b8PV27dm3YsGFeXp4q7e+++856PgAAAAAAD0N/aWdnZ3fr1k1KVf6dO3fu5MmTJadr1qx58uRJU2mLjRs3ysiIESO2b98+e/ZsJycnCXJp3dq1aw8dOvTGjRt+fn7qb4ap0t63b58sS4Rv27YtKysrODhYPYBt8+bNK1as6NevX0xMjKXkJvbq1avL+I4dO9zc3Ozt7U2lHRsbW6NGjS+++MIYEevWrZNpu3btSkpKkoVevXp5eHiEhoZazwEAAAAAoGL6S1tIKi9btqxjx46SwQ4ODkOGDFFXoUuXtpAYbteunaR1hw4dpIqltGXw0KFDbdu2tbW17du3b//+/Y3Slj0PHDiwTp06slv1rDIvL68333xTDtSqVauJEycmJyer3Xp6er700kt2dnay+ejRo02lvWTJEhk5ffq0MSJSUlJq1ar19ttvy/KCBQukz+vWravlz4ADAAAAAJ4dlVLaAAAAAAA8syhtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnSqxtA8dOuSywOWTErIgL80zAAAAAACociqrtJ2dnauVcHFxUQtCBs3zAAAAAACoWiqltCWqW7RoERQUdObMGXnpsuD32Bbm2QAAAAAAVCH6S/v99993sHewHunTp491acsE67UAAAAAAFQlmkvb09NTWjo0JNQYMV3QHjBggPwr06w20sbFxWXUqFHm0YeTm5trHgIAAAAA4NFpLu3ly5dLSH/55ZeynJycfObMmUmTJhmZ3blz5/T09FdffVWmmbfU4cqVK+fPnzePPoTr16+3atXKPAoAAAAAwKPTXNqfffaZiup9+/a5uLg0b97cyGzRp08fmTN16lSZZt7yqYqMjGzRooV5FAAAAACAR1dZpS1WrlwpI5988kmfEmrQZYGLfJVZ2uvWrXv11VdfKuHu7m5a6+Pj07Fjxzlz5jg6OrZr1+7AgQM7d+7s379/hw4dnJ2di4qKZI6bm9vkyZPVwueffz5hwoRevXq98sorJ0+eVDvp27fv0aNH1XJCQoKDQ/HnyZcvX966deuaNWu2b99efYY8NzdX9tO0adNmzZotXLiwoKBAbWI4ffq0vI02bdq0atVKjnLnzh01fuHChU6dOjVu3Pitt9768ssvZZUav3nz5sCBAxs1aiQ9v3Tp0tI7BAAAAABUGZpLW909bs3X11etsv7AttTm/dsVO3PmTFJSkixER0dLA4eHh1uvldJu0KCBrJJlLy+vunXrSpnL8q1btzp37rx//37L/aXdtWvX7OxsWb506ZLsTX0Mu8zStpS6pv3ZZ59JJOfn58seBgwYsGTJEmOVEhISEhwcLAs5OTk9evTYuHGjLIeFhUljnzp1ylJyO7qMq9LOy8tr27btpk2bCgsL09LSJObnz59///4AAAAAAFWH5tJWT0Szpv7Ql5g1a5YxeOjQofu3M+vfv/+BAwesR9Q1beNlu3bt/Pz81PKCBQtmz55tub+01YLy8ssv+/v7Wx6utKX27e3tJbPVy8TExKZNm6rlMsmxpkyZIgtyxGXLlhnja9euVaW9d+9e+XaM8eTk5Pr166uL8AAAAACAqkdzaVtK/sqXVWhXmz59uqXkerUxUt5f+fLw8OjTp4/E8IgRI1577bXdu3dbrzWVdqdOnWRELUvfOjs7W8ov7a5du16+fNnycKV94cKFhg0b9rMiVZ+ZmanWKnJoiWd5twMHDhw0aJAqapl57NgxY45R2kuWLJk1a5YxLpo1axYbG2s9AgAAAACoMvSXtrAK7WrNmze3lGSnMWKeXSI4OLht27YpKSmynJWV5ejoWBml/cEHH+zdu1cNllfa0sDyno2PXpdWVFQkqayuqBcUFEhFq6KeNGnSt99+a0wzStvDw0OOa4wnJyfXq1fPuGYOAAAAAKhiKqW0haSvkdZTp05t2bKlLKgeLpOvr2+HDh3Up6lTU1OljSujtF1cXAYOHKgeSObu7m6UdlxcnJ2dXXZ2tgrscePGjRo1SoJfovrMmTMhISHGrkRhYaFsKHEuyzJfJquilmlNmjT57bffLCUZ37t3bzUuUS3vXA4nkyWz33///UWLFlnvEAAAAABQlVRWaYtDhw65LHD5pIQsPPCz2RLMUqSOjo5jx47t27dvZZS2lPzw4cNlP9LbO3fuNEpbfPHFFw0bNlR/h0zaeM6cOU2bNm3evPm7775rPNTNcOzYsc6dO/fo0UPdOm48Y/z06dMdOnRo1qzZ22+/PXPmTGM8NjZWjtigQQNZJe9WWv33fQEAAAAAqpZKLO1n3IoVK2bMmGEeBQAAAABUdZS2TseOHYuJiZGFtLS0rl27Hjx40DwDAAAAAFDVUdo6ff/996+88kqrVq1at269ePFi82oAAAAAwDOA0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnShtAAAAAAB0orQBAAAAANCJ0gYAAAAAQCdKGwAAAAAAnSqltG/duuXq6tqhQwcbG5umTZt+8cUXERER5kkAAAAAAFRF+ks7Ozv79ddfr1atmqOjo4uLy7hx42rXrm1nZ3f27FnzVAAAAAAAqhz9pT1hwgTJ7CVLlhgjV65csbe3b9q0qUS41UQAAAAAAKogzaUtLW1jY9O1a9eioiLr8dWrV0t+//jjj8eOHZMFX19fGdy8ebMsnzlzRpZ37twpyzdv3jx16pQsLF68uFu3bnXq1OnZs+e1a9fUTqKjoz/88EMZlGhftmxZYWGhDKr5sv8uXbo4ODj8fkgAAAAAAJ4GzaV9+fJl6d6ZM2eaxkNCQmR8woQJubm5kuJubm4y+NFHHxmTx40b9/LLL1vulbOjo+OFCxf27Nkjk9955x0Zz8zMbNGiRceOHffu3evq6lqrVq1FixYZ89u1a7d//35uUAcAAAAAPHWaS/vSpUvSvbNmzTKNBwcHq9KW5T59+nz44Ye3b9+uV6+eLEs8y6Ck8tSpUy33yvnw4cNqw8GDBzds2FAWNmzYIONS7Gr8yy+/rF+/flFRkZq/bds2NQ4AAAAAwNOlubQfePe4LC9durRBgwYnTpyoXbu2t7e3jKsr4UeOHLGUKm0nJydbW1tZmD59uow3uEcqXQ4UGxtrmg8AAAAAwNOlubQt5T8RrUmTJuqJaKquHR0d+/XrJy9btmwpyzVr1szKyrKUX9pr166V8cDAQGO3CqUNAAAAAPhT0V/axl/56tWr1/z588eMGWP6K1+FhYUODg7VSh5jJi/Hjx8vyz179lRryyvt3NzcNm3atGjRYtWqVe7u7lLpaoeUNgAAAADgT0V/aYu8vDxXV9cOHTrY2Ng0adLk888/v3r1qvWEIUOGSB5HRkbKskSyLC9cuFCtKq+0RVxc3LBhw+rVq9eoUaMBAwYEBQWVng8AAAAAwNNVKaUNAAAAAMAzi9IGAAAAAEAnShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQidIGAAAAAEAnShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQidIGAAAAAEAnShsAAAAAAJ0obQAAAAAAdKK0AQAAAADQSX9pHzx48KeffjINbtq0KTc31zQIAAAAAEDVUymlLV0dHBxsPfjjjz9S2gAAAACAZ0GllHZYWNjmzZszMjKMQUobAAAAAPCMqJTSjouLCw4O3r9/f1FRkRqU8DZKW1Zt27ZN2vvQoUOpqam/b3lPdnb2Tz/9JBO2bNni6+urduLp6RkTEyML8nLTpk2xsbGyXFhYKNMKCgr8/f1Pnjx55swZOfquXbtu3rxp7C0oKEgd7sSJE3l5eWrQ3d09LCzswIEDly5dMmYCAAAAAPDHVVZpy4LUso+Pjxo0SjskJGTv3r05OTmyHB0dLS1969Ytq60tks07duyQaVLUEsZHjhy5fPmyjEtLqyqWnUs5X7hwQZYTEhKkwNVa2e3t27fVoKT4nTt3LCVVL8Evh5a9eXt7Hz58WB1FStt4bwAAAAAAaFSJpS19KyGdnJxssSptDw+PpKQkY/Jvv/0mkWy8FJGRkUePHjVeSof/8MMPsiD7kWaWhYsXL4aHh+/Zs0eWfX191ebyr+zK2EqOoo5rOpy8TEtLs5SUNnezAwAAAAAqQ6WUtrq1W0RFRUncFhQUSHKrsl2/fr262qwEBwf/+uuvxkvh4+OjrlcbZFt1DVwWbt++LY0t/3p6emZmZsq/qqhNpb13796EhARLyeFkzpF7du/erW4sl9I2XUsHAAAAAECLyi1tcfr06XPnzhmlvWPHjsTERGOt5LHpLu6IiIjS17QLCwtl+fjx41Lmhw4dkuXAwMCAgIBt27apaeWVthyuzI+CU9oAAAAAgEpSKaWtHl2m3L59W3J3/fr1qrTDw8Mlg7OysoqKiqKiorZu3Wo8pUyRqPbw8JCilgWJ4SNHjnh7e6tVoaGhmzdv9vPzk+X09HRZ/uWXX9Sq8kpbun3fvn2ZmZmynJGRcePGDTWB0gYAAAAAVJJKL20RHx+/bt0643PREszbtm374YcfDh06pD41bZKTk3Ps2LGNGzdaP3tcSJ+vXbvWuEatHpymlssrbUtJ28tMyfI9e/ZcvXpVDVLaAAAAAIBKor+0AQAAAAB4llHaAAAAAADoRGkDAAAAAKATpQ0AAAAAgE6UNgAAAAAAOlHaAAAAAADoRGkDAAAAAKATpQ0AAAAAgE6UNgAAAAAAOlHaAAAAAADoRGkDAAAAAKATpQ0AAAAAgE6UNgAAAAAAOlHaAAAAAADoRGkDAAAAAKATpQ0AAAAAgE6UNgAAAAAAOlHaAAAAAADoRGkDAAAAAKATpQ0AAAAAgE6UNgAAAAAAOlHaAAAAAADoRGkDAAAAAKATpQ0AAAAAgE6UNgAAAAAAOlHaAAAAAADoRGkDAAAAAKATpQ0AAAAAgE6UNgAAAAAAOlHaAAAAAADoRGkDAAAAAKATpQ0AAAAAgE6UNgAAAAAAOv1/J3JEJskEh7sAAAAASUVORK5CYII=[] + + +TO-DO: Instruction for watching logs via CLI (w/o tkn CLI ?) + + +image::data:image/png;base64,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[] + + + +Verify updated image + +|=== +|oc get pod -l app=messaging -o yaml -n manuela-tst-all | grep +"image:.*image"++ + image: image-registry.openshift-image-registry.svc:5000/manuela-tst-all/messaging:0.3.2-24 + image: image-registry.openshift-image-registry.svc:5000/manuela-tst-all/messaging:0.3.2-24+ + +|=== + + +On the EDGE (PROD), the earlier version is still deployed: + +|=== +|oc get pod -l app=messaging -o yaml -n manuela-stormshift-messaging | grep +"image:.*image"++ + image: image-registry.openshift-image-registry.svc:5000/manuela-stormshift-messaging/messaging:0.3.2-23 + image: image-registry.openshift-image-registry.svc:5000/manuela-stormshift-messaging/messaging:0.3.2-23+ + +|=== + + + +=== Deploy to Prod: Merge the pull request + +https://github.com/redhat-edge-computing/manuela-gitops/pulls[https://github.com/redhat-edge-computing/manuela-gitops/pulls] + +Merge pull request .... + +TO-DO: Often too many merge conflicts :-( + + +=== Validate new versions + + +|=== +|oc get pod -l app=messaging -o yaml -n manuela-stormshift-messaging | grep +"image:.*image"++ + image: image-registry.openshift-image-registry.svc:5000/manuela-stormshift-messaging/messaging:0.3.2-24 + image: image-registry.openshift-image-registry.svc:5000/manuela-stormshift-messaging/messaging:0.3.2-24+ + +|=== + + +=== Optional + +Run builds of other components + +* build-iot-anomaly-detection +* build-iot-consumer +* build-iot-frontend +* build-iot-software-sensor +== Validate data flow in manuela-tst-all (HUB/TEST) + +Quick look at various logs + +=== machine-sensor-1 + +|=== +|+oc logs -l application=machine-sensor-1 --since=10s -n manuela-tst-all+ + +|=== + +=== Machine-sensor-2 + +|=== +|+oc logs -l application=machine-sensor-2 --since=10s -n manuela-tst-all+ + +|=== + +=== messaging + +|=== +|+oc logs -l app=messaging --since=10s -n manuela-tst-all + + +|=== +=== Anomaly-detection + +|=== +|+oc logs -l seldon-app=anomaly-detection-predictor -c anomaly-detection --since=10s -n manuela-tst-all + + +|=== + + +=== Mqtt2kafka-integration + + +|=== +|+oc logs -l camel.apache.org/integration=mqtt2kafka-integration --since=10s -n manuela-tst-all + + +|=== + + +== Validate data flow in PROD + +Quick look at various logs + +|=== +|oc get projects | grep manu + +manuela-data-lake-central-s3-store Active +manuela-data-lake-factory-mirror-maker Active +manuela-stormshift-line-dashboard Active +manuela-stormshift-machine-sensor Active +manuela-stormshift-messaging Active + +|=== + +S3 at Edge => not really + +=== machine-sensor-1 + +|=== +|+oc logs -l application=machine-sensor-1 --since=10s -n manuela-stormshift-machine-sensor+ + +|=== + +=== Machine-sensor-2 + +|=== +|+oc logs -l application=machine-sensor-2 --since=10s -n manuela-stormshift-machine-sensor+ + +|=== + +=== messaging + +|=== +|+oc logs -l app=messaging --since=10s -n manuela-stormshift-messaging+ + +|=== +=== Anomaly-detection + +|=== +|+oc logs -l seldon-app=anomaly-detection-predictor -c anomaly-detection --since=10s -n manuela-stormshift-messaging + + +|=== + +=== Mqtt2kafka-integration + +View Camel integration logs + +|=== +|+oc logs -l camel.apache.org/integration=mqtt2kafka-integration --since=10s -n manuela-stormshift-messaging + + +|=== + + +What if there are no logs .... check operators and pods + + +*Check that messages arrive in kafka on factory edge* + +List Topics: +|=== +|oc +exec++ manuela-kafka-cluster-kafka-0 -c kafka -n manuela-stormshift-messaging -- bin/kafka-topics.sh --list --bootstrap-server manuela-kafka-cluster-kafka-bootstrap:9092 +... +__consumer_offsets +iot-sensor-sw-temperature +iot-sensor-sw-vibration +mm2-offset-syncs.manuela-central.internal+ + +|=== + + +Watch iot-sensor-sw-temperature messages + +|=== +|oc +exec++ manuela-kafka-cluster-kafka-0 -c kafka -n manuela-stormshift-messaging -- bin/kafka-console-consumer.sh --topic iot-sensor-sw-temperature --bootstrap-server manuela-kafka-cluster-kafka-bootstrap:9092 +... +floor-1-line-1-extruder-1,pump-1,48.74025691040953,1599993550986 +floor-1-line-1-extruder-1,pump-2,45.60982213965101,1599993552862 +floor-1-line-1-extruder-1,pump-1,47.46929426623953,1599993555986+ + +|=== +[CTRL-C] + +=== MirrorMaker Factory to Central + +*Check that messages arrive in kafka in central data center* + +|=== +|*oc get pods -n manuela-data-lake-central-kafka-cluster*+ +NAME READY STATUS RESTARTS AGE +amq-streams-cluster-operator-v1.5.2-57f554db78-dxfqq 1/1 Running 0 23d +kafka-cluster-entity-operator-6c864b7d45-v87cx 3/3 Running 10 23d +kafka-cluster-kafka-0 2/2 Running 4 23d +kafka-cluster-kafka-1 2/2 Running 0 23d +kafka-cluster-kafka-2 2/2 Running 0 23d +kafka-cluster-zookeeper-0 1/1 Running 0 23d +kafka-cluster-zookeeper-1 1/1 Running 1 23d +kafka-cluster-zookeeper-2 1/1 Running 0 23d+ + +|=== + + +List Topics: +|=== +|*+oc exec kafka-cluster-kafka-0 -c kafka -n manuela-data-lake-central-kafka-cluster -- bin/kafka-topics.sh --list --bootstrap-server kafka-cluster-kafka-bootstrap:9092+* + +|=== + + +Watch iot-sensor-sw-temperature messages + +|=== +|*oc **+exec+**+ kafka-cluster-kafka-0 -c kafka -n manuela-data-lake-central-kafka-cluster -- bin/kafka-console-consumer.sh --topic manuela-factory.iot-sensor-sw-temperature --bootstrap-server kafka-cluster-kafka-bootstrap:9092+*+ +... +floor-1-line-1-extruder-1,pump-1,48.74025691040953,1599993550986 +floor-1-line-1-extruder-1,pump-2,45.60982213965101,1599993552862 +floor-1-line-1-extruder-1,pump-1,47.46929426623953,1599993555986+ + +|=== +[CTRL-C] + +=== Data Lake: Save message from Central Kafka into S3 + +Set S3 Variables. See https://github.com/sa-mw-dach/manuela/blob/master/docs/module-event-streaming.md#s3-storage-optional[https://github.com/sa-mw-dach/manuela/blob/master/docs/module-event-streaming.md#s3-storage-optional] +|=== +|+export++ AWS_ACCESS_KEY_ID=... +++export++ AWS_SECRET_ACCESS_KEY=... +++export++ S3_ENDPOINT=s3-openshift-storage.apps.ocp4.stormshift.coe.muc.redhat.com +++export++ BUCKET_NAME=...+ + +|=== + + + + +Consider to delete all data in S3: +|=== +|+s3cmd --access_key=++$AWS_ACCESS_KEY_ID++ --secret_key=++$AWS_SECRET_ACCESS_KEY++ --ssl --no-check-certificate --host=++$S3_ENDPOINT++ --host-bucket=++"s3://++$BUCKET_NAME++/"++ rm ++"s3://++$BUCKET_NAME++/*"+ + +|=== + + + +Check logs of kafka-to-s3-integration: + +|=== +|*+oc logs -l camel.apache.org/integration=kafka-to-s3-integration --since=60s -n manuela-data-lake-central-s3-store+*+ +...+ + +|=== + + +View new objects in S3 bucket + +|=== +|*+s3cmd --access_key=+**+$AWS_ACCESS_KEY_ID+**+ --secret_key=+**+$AWS_SECRET_ACCESS_KEY+**+ --ssl --no-check-certificate --host=+**+$S3_ENDPOINT+**+ --host-bucket=+**+"s3://+**+$BUCKET_NAME+**+/"+**+ ls +**+"s3://+**+$BUCKET_NAME+**+/"+*+ +... +2020-09-13 11:13 653 s3://manuela-data-lake/manuela-temperature-Sun Sep 13 11:13:52 GMT 2020.txt +2020-09-13 11:14 654 s3://manuela-data-lake/manuela-temperature-Sun Sep 13 11:14:46 GMT 2020.txt +2020-09-13 11:15 655 s3://manuela-data-lake/manuela-temperature-Sun Sep 13 11:15:36 GMT 2020.txt +2020-09-13 11:14 654 s3://manuela-data-lake/manuela-vibration-Sun Sep 13 11:14:31 GMT 2020.txt +2020-09-13 11:15 657 s3://manuela-data-lake/manuela-vibration-Sun Sep 13 11:15:32 GMT 2020.txt+ + +|=== + From 21b0bb5554a0e1760d631ad5d1da4a8a1f3354b7 Mon Sep 17 00:00:00 2001 From: Avani Bhatt Date: Tue, 17 Oct 2023 00:54:01 +0100 Subject: [PATCH 08/15] included coomon attr files and bringing in the overview file from my ongoing PR --- content/learn/about-pattern-tiers-types.adoc | 52 ++++++++++++++++++++ content/learn/maintained.adoc | 2 +- content/learn/sandbox.adoc | 3 ++ content/learn/test-artefacts.adoc | 36 +++++++------- content/learn/tested.adoc | 5 +- 5 files changed, 79 insertions(+), 19 deletions(-) create mode 100644 content/learn/about-pattern-tiers-types.adoc diff --git a/content/learn/about-pattern-tiers-types.adoc b/content/learn/about-pattern-tiers-types.adoc new file mode 100644 index 000000000..d01296316 --- /dev/null +++ b/content/learn/about-pattern-tiers-types.adoc @@ -0,0 +1,52 @@ +--- +menu: contribute +title: Pattern types +weight: 50 +aliases: /contribute/pattern-types/ +--- + +:toc: + +:_content-type: ASSEMBLY +include::modules/comm-attributes.adoc[] + +[id="pattern-type_{context}"] += Pattern types +To know about the patterns that you can contribute and use, understand the following different pattern types: + +|=== +|Pattern type|Description|Support status + +|Archieved +|End of lifecycle. Might have worked at one time, but is no longer maintained and exist as a reference only +Has dependencies that are missing in {ocp} versions after 4.x +Broken since 4.x and there is no subject matter expert (SME) to advise a fix +Superseded by another pattern, or no longer of interest to customers +| + +|Sandboxed +|A work in progress, might not yet include a demonstration. A Customer business problem has potentially not been identified or fully solved +Might have been manually tested, and on a limited set of platforms +Not yet reviewed by Red{nbsp}Hat +| + +|Point-in-time tested +|Clear business problem with demo +All components are supportable*, and any Red Hat product usage signed-off by BUs +Test plan (manual or automated) that passes at least once for each new OpenShift minor version within 3 months of GA +| + +|Actively maintained +|Group 2 plus… +Formal release process with z-streams +CI automation (either weekly or event driven at a similar interval) +| + +|Supported +|In addition to being tested and maintained: +- community editions of partner products are easily replaced with Enterprise variants +- partner escalation process/agreement in place +- CEE enablement +|Fully supported +|=== + diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index 7a482281c..800a086d6 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -18,7 +18,7 @@ include::modules/comm-attributes.adoc[] The {maintained-tier} is intended to provide consumers with additional "sales" collateral and reassurance that the pattern was known to be functional on all currently supported LTS versions of OpenShift. Inclusion in this tier may require additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. [id="nominating-a-community-pattern-to-become-validated"] -== Nominating a maintained pattern to become validated pattern +== Nominating a maintained pattern for promotion to a validated pattern If there is a maintained pattern that you believe would be a good candidate for promotion to validated pattern, you can make that case by mailing mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index 7335755f2..ac1d9a951 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -10,6 +10,9 @@ aliases: /requirements/sandbox/ :toc: +:_content-type: ASSEMBLY +include::modules/comm-attributes.adoc[] + [id="about-sandbox-tier"] = About the {sandbox-tier} diff --git a/content/learn/test-artefacts.adoc b/content/learn/test-artefacts.adoc index 60a6f5095..886c6fa9b 100644 --- a/content/learn/test-artefacts.adoc +++ b/content/learn/test-artefacts.adoc @@ -9,60 +9,62 @@ aliases: /requirements/tested/ :toc: -= Testing Artefacts +[id="testing-artefacts"] += Testing artefacts In order to be represented in the CI dashboard, testers can create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. -== File Naming - +[id="file-naming-convention"] +== File naming convention `{pattern}-{platform}-{openshift version}-stable-badge.json` Example: `medicaldiag-nutanix-4.13-stable-badge.json` Note: OpenShift verion should be `major.minor` only -== File Contents +[id="file-template"] +== File template [source,json] ---- { "schemaVersion":1, "label":"{text}", - + /* For now we assume `message` is the same as patternBranch */ "message":"{text}", - + /* passed => green, test failed => red, test setup failed => yellow */ "color":"{test result color}", - + /* eg. x.y.z */ "openshiftVersion":"{full openshift version}", - + /* eg. AWS, GCP, Nutanix, ... */ "infraProvider":"{platform}", - + /* Official repo of the pattern, eg. https://github.com/validatedpatterns/multicloud-gitops */ "patternRepo": "{text}", - + /* eg. main, stable-N.M */ "patternBranch": "{text}", "date":"{YYYY-MM-DD}", - + /* Who ran the test eg. Red Hat */ "testSource": "{company name}", - + /* eg. Job number */ "testID": "{unique id}", - + /* if publically available */ "jenkinsURL":"{path to job}", - + "debugInfo":"{location of must-gather tarball}", } ---- -=== Example +.Example testing artifact file [source,json] ---- @@ -73,8 +75,8 @@ Note: OpenShift verion should be `major.minor` only "color":"green", "openshiftVersion":"4.13.14", "infraProvider":"Nutanix", - "patternRepo": "https://github.com/validatedpatterns/multicloud-gitops", - "patternBranch": "main", + "patternRepo": "https://github.com/validatedpatterns/multicloud-gitops", + "patternBranch": "main", "date":"2023-10-23", "testSource": "Red Hat" "testID": "13602", diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index a1f48189d..2a1aca2e8 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -9,13 +9,16 @@ aliases: /requirements/tested/ :toc: +:_content-type: ASSEMBLY +include::modules/comm-attributes.adoc[] + [id="about-tested-tier"] = About the {tested-tier} The {tested-tier} provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or a sufficiently motivated Subject Matter Expert (SME). [id="nominating-a-community-pattern-to-become-maintained"] -== Nominating a Tested pattern for promotion to Maintained +== Nominating a tested pattern for promotion to a maintained pattern If there is a Tested pattern that you believe would be a good candidate for promotion to Maintained, you can make that case by mailing mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. From 8e9b8775474bccb7097390ea3922637320f879fd Mon Sep 17 00:00:00 2001 From: Avani Bhatt Date: Tue, 17 Oct 2023 01:13:35 +0100 Subject: [PATCH 09/15] adjusted frontmatter weight for each file under the Workflow section --- content/learn/about-pattern-tiers-types.adoc | 42 +++++++------------- content/learn/implementation.adoc | 2 +- content/learn/maintained.adoc | 2 +- content/learn/sandbox.adoc | 2 +- content/learn/tested.adoc | 2 +- 5 files changed, 19 insertions(+), 31 deletions(-) diff --git a/content/learn/about-pattern-tiers-types.adoc b/content/learn/about-pattern-tiers-types.adoc index d01296316..c95ee1b41 100644 --- a/content/learn/about-pattern-tiers-types.adoc +++ b/content/learn/about-pattern-tiers-types.adoc @@ -1,8 +1,10 @@ --- -menu: contribute -title: Pattern types -weight: 50 -aliases: /contribute/pattern-types/ +menu: + learn: + parent: Workflow +title: Validated Pattern Tiers +weight: 41 +aliases: /learn/pattern-tier-overview --- :toc: @@ -10,43 +12,29 @@ aliases: /contribute/pattern-types/ :_content-type: ASSEMBLY include::modules/comm-attributes.adoc[] -[id="pattern-type_{context}"] -= Pattern types -To know about the patterns that you can contribute and use, understand the following different pattern types: +[id="pattern-type"] +== About the Validated Pattern tiers -|=== -|Pattern type|Description|Support status +To know about the patterns that you can contribute and use, understand the following different pattern tiers: -|Archieved -|End of lifecycle. Might have worked at one time, but is no longer maintained and exist as a reference only -Has dependencies that are missing in {ocp} versions after 4.x -Broken since 4.x and there is no subject matter expert (SME) to advise a fix -Superseded by another pattern, or no longer of interest to customers -| +|=== +|Pattern tier|Description |Sandboxed |A work in progress, might not yet include a demonstration. A Customer business problem has potentially not been identified or fully solved Might have been manually tested, and on a limited set of platforms Not yet reviewed by Red{nbsp}Hat -| -|Point-in-time tested + +|Tested |Clear business problem with demo All components are supportable*, and any Red Hat product usage signed-off by BUs Test plan (manual or automated) that passes at least once for each new OpenShift minor version within 3 months of GA -| -|Actively maintained +|Maintained |Group 2 plus… Formal release process with z-streams CI automation (either weekly or event driven at a similar interval) -| - -|Supported -|In addition to being tested and maintained: -- community editions of partner products are easily replaced with Enterprise variants -- partner escalation process/agreement in place -- CEE enablement -|Fully supported + |=== diff --git a/content/learn/implementation.adoc b/content/learn/implementation.adoc index 19724248c..b0efffefd 100644 --- a/content/learn/implementation.adoc +++ b/content/learn/implementation.adoc @@ -3,7 +3,7 @@ menu: learn: parent: Workflow title: Implementation Requirements -weight: 41 +weight: 42 aliases: /requirements/implementation/ --- diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index 800a086d6..f87678b9e 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -3,7 +3,7 @@ menu: learn: parent: Workflow title: Validated Patterns - Maintained Tier -weight: 44 +weight: 45 aliases: /requirements/maintained/ aliases: /requirements/validated/ --- diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index ac1d9a951..e500ec589 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -3,7 +3,7 @@ menu: learn: parent: Workflow title: Validated Patterns - Sandbox Tier -weight: 42 +weight: 43 aliases: /requirements/community/ aliases: /requirements/sandbox/ --- diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index 2a1aca2e8..0258839ad 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -3,7 +3,7 @@ menu: learn: parent: Workflow title: Validated Patterns - Tested Tier -weight: 43 +weight: 44 aliases: /requirements/tested/ --- From 50d315a2feefa768c31d7f381a9bf89a4a3539d7 Mon Sep 17 00:00:00 2001 From: Avani Bhatt Date: Mon, 23 Oct 2023 13:54:54 +0100 Subject: [PATCH 10/15] attribute chnages reverting the must-should conundrum to original --- content/learn/about-pattern-tiers-types.adoc | 15 ++++---- content/learn/implementation.adoc | 10 +++--- content/learn/maintained.adoc | 28 +++++++-------- content/learn/sandbox.adoc | 30 ++++++++-------- content/learn/tested.adoc | 38 ++++++++++---------- modules/comm-attributes.adoc | 12 +++---- 6 files changed, 67 insertions(+), 66 deletions(-) diff --git a/content/learn/about-pattern-tiers-types.adoc b/content/learn/about-pattern-tiers-types.adoc index c95ee1b41..ab155c6d9 100644 --- a/content/learn/about-pattern-tiers-types.adoc +++ b/content/learn/about-pattern-tiers-types.adoc @@ -13,25 +13,26 @@ aliases: /learn/pattern-tier-overview include::modules/comm-attributes.adoc[] [id="pattern-type"] -== About the Validated Pattern tiers +== About the {solution-name-upstream} tiers -To know about the patterns that you can contribute and use, understand the following different pattern tiers: +To know about the patterns that you can contribute and use, understand the following pattern tiers: |=== |Pattern tier|Description -|Sandboxed -|A work in progress, might not yet include a demonstration. A Customer business problem has potentially not been identified or fully solved +|{sandbox-tier-first} +|A pattern under the {sandbox} tier or a {sandbox} pattern is one that might be in a work-in-progress state. , might not yet include a demonstration. A customer business problem has potentially not been identified or fully solved Might have been manually tested, and on a limited set of platforms Not yet reviewed by Red{nbsp}Hat -|Tested -|Clear business problem with demo +|{tested-tier-first} +The {tested} tier provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern’s owner - which might be a partner or a sufficiently motivated Subject Matter Expert (SME).| +Clear business problem with demo All components are supportable*, and any Red Hat product usage signed-off by BUs Test plan (manual or automated) that passes at least once for each new OpenShift minor version within 3 months of GA -|Maintained +|{maintained-tier-first} |Group 2 plus… Formal release process with z-streams CI automation (either weekly or event driven at a similar interval) diff --git a/content/learn/implementation.adoc b/content/learn/implementation.adoc index b0efffefd..771df79f7 100644 --- a/content/learn/implementation.adoc +++ b/content/learn/implementation.adoc @@ -2,7 +2,7 @@ menu: learn: parent: Workflow -title: Implementation Requirements +title: Implementation requirements weight: 42 aliases: /requirements/implementation/ --- @@ -10,11 +10,11 @@ aliases: /requirements/implementation/ :toc: [id="technical-requirements"] -== Technical Requirements +== Technical requirements Additional requirements specific to the implementation for all Community, and Validated patterns -[id="must"] +[id="must-implementation-requirements"] === Must . Patterns *MUST* include one or more Git repositories, in a publicly accessible location, containing configuration elements that can be consumed by the OpenShift GitOps operator (ArgoCD) without supplying custom ArgoCD images. @@ -33,7 +33,7 @@ We distinguish between the provisioning and configuration requirements of the in . Managed clusters *MUST* operate on the premise of "`eventual consistency`" (automatic retries, and an expectation of idempotence), which is one of the essential benefits of the GitOps model. . Imperative elements *MUST* be implemented as idempotent code stored in Git -[id="should"] +[id="should-implementation-requirements"] === Should . Patterns SHOULD include sample application(s) to demonstrate the business problem(s) addressed by the pattern. @@ -61,7 +61,7 @@ For example, Bucket Notification is a capability in the Medical Diagnosis patter . Imperative elements SHOULD be implemented as Ansible playbooks . Imperative elements SHOULD be driven declaratively -- by which we mean that the playbooks should be triggered by Jobs and/or CronJobs stored in Git and delivered by OpenShift GitOps. -[id="can"] +[id="can-implementation-requirements"] === Can . Patterns CAN include additional configuration and/or demo elements located in one or more additional private git repos. diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index f87678b9e..98e494cc9 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -2,7 +2,7 @@ menu: learn: parent: Workflow -title: Validated Patterns - Maintained Tier +title: Validated Patterns - Maintained tier weight: 45 aliases: /requirements/maintained/ aliases: /requirements/validated/ @@ -13,9 +13,9 @@ aliases: /requirements/validated/ include::modules/comm-attributes.adoc[] [id="about-maintained-tier"] -= About the {maintained-tier} += About the {maintained-tier-first} -The {maintained-tier} is intended to provide consumers with additional "sales" collateral and reassurance that the pattern was known to be functional on all currently supported LTS versions of OpenShift. Inclusion in this tier may require additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. +The {maintained} tier is intended to provide consumers with additional "sales" collateral and reassurance that the pattern was known to be functional on all currently supported LTS versions of OpenShift. Inclusion in this tier may require additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. [id="nominating-a-community-pattern-to-become-validated"] == Nominating a maintained pattern for promotion to a validated pattern @@ -38,16 +38,16 @@ specified for the link:/requirements/tested/[Tested tier] [id="must-maintained-tier"] === Must -. {maintained-pattern} *MUST* continue to meet the following criteria to remain in Maintained Tested tier -. {maintained-pattern} *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] -. {maintained-pattern} *MUST* only make use of components that are either supported, or easily substitued for supportable equivalents (eg. HashiCorp vault which has community and enterprise variants) -. {maintained-pattern} *MUST NOT* rely on functionality in tech-preview, or hidden behind feature gates -. {maintained-pattern} *MUST* have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams` intentions and roadmaps -. {maintained-pattern} *MUST* include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution -. {maintained-pattern} *MUST* include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week -. {maintained-pattern} *MUST* be tested on all currently supported OpenShift LTS releases -. {maintained-pattern} *MUST* fix breakage in a "timely" manner -. {maintained-pattern} *MUST* document their support policy +. {maintained} pattern *MUST* continue to meet the following criteria to remain in Maintained Tested tier +. {maintained} pattern *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] +. {maintained} pattern *MUST* only make use of components that are either supported, or easily substitued for supportable equivalents (eg. HashiCorp vault which has community and enterprise variants) +. {maintained} pattern *MUST NOT* rely on functionality in tech-preview, or hidden behind feature gates +. {maintained} pattern *MUST* have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams` intentions and roadmaps +. {maintained} pattern *MUST* include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution +. {maintained} pattern *MUST* include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week +. {maintained} pattern *MUST* be tested on all currently supported OpenShift LTS releases +. {maintained} pattern *MUST* fix breakage in a "timely" manner +. {maintained} pattern *MUST* document their support policy + The individual products used in a Validated Pattern are backed by the full Red Hat support experience conditional on the customer's subscription to those products, and the individual products`' support policy. + @@ -57,7 +57,7 @@ The {solution-name-upstream} team is very motivated to address any problems in t + TODO: Create an aDoc version of our support statement slide -. {maintained-pattern} *DO NOT* imply an obligation of support for partner or community operators by Red Hat. +. {maintained} pattern *DO NOT* imply an obligation of support for partner or community operators by Red Hat. [id="can-maintained-tier"] === Can diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index e500ec589..edeedbf2c 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -2,7 +2,7 @@ menu: learn: parent: Workflow -title: Validated Patterns - Sandbox Tier +title: Validated Patterns - Sandbox tier weight: 43 aliases: /requirements/community/ aliases: /requirements/sandbox/ @@ -14,9 +14,9 @@ aliases: /requirements/sandbox/ include::modules/comm-attributes.adoc[] [id="about-sandbox-tier"] -= About the {sandbox-tier} += About the {sandbox-tier-first} -The {sandbox-tier} is an inclusive and low-risk way to become associated with the {solution-name-upstream} project. The minimum requirement to qualify for the {sandbox-tier} is that you must start with the patterns framework and include some minimal documentation. +The {sandbox} tier is an inclusive and low-risk way to become associated with the {solution-name-upstream} project. The minimum requirement to qualify for the {sandbox} tier is that you must start with the patterns framework and include some minimal documentation. [id="onboarding-existing-implementations"] == Onboarding existing implementations @@ -40,26 +40,26 @@ General requirements for all {solution-name-upstream} [id="must-sandbox-tier"] === Must -. {sandbox-pattern} *MUST* continue to meet the following criteria to remain in the Sandbox tier -. {sandbox-pattern} *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] -. {sandbox-pattern} *MUST* be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning -. {sandbox-pattern} *MUST* include a top-level README highlighting the business problem and how the pattern solves it -. {sandbox-pattern} *MUST* include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. -. {sandbox-pattern} *MUST* undergo an informal technical review by a community leader to ensure that it meets basic reuse standards -. {sandbox-pattern} *MUST* undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. +. {sandbox} pattern *MUST* continue to meet the following criteria to remain in the Sandbox tier +. {sandbox} pattern *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] +. {sandbox} pattern *MUST* be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning +. {sandbox} pattern *MUST* include a top-level README highlighting the business problem and how the pattern solves it +. {sandbox} pattern *MUST* include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. +. {sandbox} pattern *MUST* undergo an informal technical review by a community leader to ensure that it meets basic reuse standards +. {sandbox} pattern *MUST* undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. + For example: not using a database as a message bus. As community leaders, contributions from within Red Hat may be subject to a higher level of scrutiny. While we strive to be inclusive, the community will have quality standards and generally using the framework does not automatically imply a solution is suitable for the community to endorse/publish. -. {sandbox-pattern} *MUST* document their support policy +. {sandbox} pattern *MUST* document their support policy + -It is anticipated that most{sandbox-pattern} will be supported by the community on a best-effort basis, but this should be stated explicitly. +It is anticipated that most{sandbox} pattern will be supported by the community on a best-effort basis, but this should be stated explicitly. The {solution-name-upstream} team commits to maintaining the framework but will also accept help. [id="can-sandbox-tier"] === Can -. {sandbox-pattern} (including works-in-progress) CAN be hosted in the link:https://github.com/validatedpatterns-sandbox[https://github.com/validatedpatterns-sandbox] GitHub organization -. {sandbox-pattern} CAN be listed on the link:https://validatedpatterns.io[https://validatedpatterns.io] site -. {sandbox-pattern} meeting additional criteria CAN be nominated for promotion to the link:/learn/tested/[Tested tier] +. {sandbox} pattern (including works-in-progress) CAN be hosted in the link:https://github.com/validatedpatterns-sandbox[https://github.com/validatedpatterns-sandbox] GitHub organization +. {sandbox} pattern CAN be listed on the link:https://validatedpatterns.io[https://validatedpatterns.io] site +. {sandbox} pattern meeting additional criteria CAN be nominated for promotion to the link:/learn/tested/[Tested tier] diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index 0258839ad..31b6a0399 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -2,7 +2,7 @@ menu: learn: parent: Workflow -title: Validated Patterns - Tested Tier +title: Validated Patterns - Tested tier weight: 44 aliases: /requirements/tested/ --- @@ -13,9 +13,9 @@ aliases: /requirements/tested/ include::modules/comm-attributes.adoc[] [id="about-tested-tier"] -= About the {tested-tier} += About the {tested-tier-first} -The {tested-tier} provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or a sufficiently motivated Subject Matter Expert (SME). +The {tested} tier provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or a sufficiently motivated Subject Matter Expert (SME). [id="nominating-a-community-pattern-to-become-maintained"] == Nominating a tested pattern for promotion to a maintained pattern @@ -32,45 +32,45 @@ In limited cases, the {solution-name-upstream} team may consider taking on that [id="requirements-tested-tier"] == Requirements -{tested-pattern} have deliverable and requirements *in addition* to those +{tested} pattern have deliverable and requirements *in addition* to those specified for the link:/requirements/sandbox/[Sandbox tier] [id="must-tested-tier"] === Must -. {tested-pattern} *MUST* continue to meet the following criteria to remain in the {tested-tier} -. {tested-pattern} *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] -. {tested-pattern} *MUST* be meaningful without specialized hardware, including flavors of architectures not explicitly supported. +. {tested} pattern *MUST* continue to meet the following criteria to remain in the {tested} tier +. {tested} pattern *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] +. {tested} pattern *MUST* be meaningful without specialized hardware, including flavors of architectures not explicitly supported. + Qualification is a {solution-name-upstream} TOC decision with input from the pattern owner. -. {tested-pattern} *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. -. {tested-pattern} *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling -. {tested-pattern} *MUST* include a written guide for others to follow when demonstrating the pattern -. {tested-pattern} *MUST* include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. +. {tested} pattern *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. +. {tested} pattern *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling +. {tested} pattern *MUST* include a written guide for others to follow when demonstrating the pattern +. {tested} pattern *MUST* include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. + The test plan *MUST* define how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] + //TODO: Convert above link to adoc -. {tested-pattern} *MUST* nominate at least one currently supported OpenShift release to test against -. {tested-pattern} *MUST* ensure the test plan passes at least once per quarter -. {tested-pattern} *MUST* create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. See link:/learn/test-artefacts/[testing artefacts] -. {tested-pattern} *DO NOT* imply an obligation of support for partner or community operators by Red Hat or the pattern owner. +. {tested} pattern *MUST* nominate at least one currently supported OpenShift release to test against +. {tested} pattern *MUST* ensure the test plan passes at least once per quarter +. {tested} pattern *MUST* create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. See link:/learn/test-artefacts/[testing artefacts] +. {tested} pattern *DO NOT* imply an obligation of support for partner or community operators by Red Hat or the pattern owner. [id="should-tested-tier"] === Should -. {tested-pattern} SHOULD be broadly applicable. -. {tested-pattern} SHOULD focus on functionality not performance. +. {tested} pattern SHOULD be broadly applicable. +. {tested} pattern SHOULD focus on functionality not performance. [id="can-tested-tier"] === Can -. Teams creating {tested-pattern} CAN provide their own SLA +. Teams creating {tested} pattern CAN provide their own SLA + A document for QE that defines, at a technical level, how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] -. {tested-pattern} meeting additional criteria CAN be nominated for promotion to the link:/learn/maintained/[Maintained tier] +. {tested} pattern meeting additional criteria CAN be nominated for promotion to the link:/learn/maintained/[Maintained tier] diff --git a/modules/comm-attributes.adoc b/modules/comm-attributes.adoc index 78b5f3ac6..95cd9098c 100644 --- a/modules/comm-attributes.adoc +++ b/modules/comm-attributes.adoc @@ -9,13 +9,13 @@ //Pattern names //:rh-solution-name: Validated Patterns :solution-name-upstream: Validated Patterns -:sandbox-pattern: Sandbox Patterns -:maintained-pattern: Maintained Patterns -:tested-pattern: Tested Patterns //Validated Patterns tiers -:sandbox-tier: Sandbox tier -:maintained-tier: Maintained tier -:tested-tier: Tested tier +:sandbox: sandbox +:maintained: maintained +:tested: tested +:sandbox-tier-first: Validated Patterns Sandbox tier +:tested-tier-first: Validated Patterns Tested tier +:maintained-tier-first: Validated Patterns Maintained tier //:solution-version: Update later when we start using versioned releases //Patterns :aeg-pattern: Ansible Edge GitOps pattern From d8ee420b6f15cbf9fb079f80781c842ee819731d Mon Sep 17 00:00:00 2001 From: Avani Bhatt Date: Mon, 30 Oct 2023 01:17:34 +0000 Subject: [PATCH 11/15] added definition for must,should,cam after reiterating abstract several times --- .gitignore | 3 +- content/learn/about-pattern-tiers-types.adoc | 12 +-- content/learn/implementation.adoc | 77 +++++++++++--------- content/learn/maintained.adoc | 26 ++++--- content/learn/sandbox.adoc | 20 ++--- content/learn/test-artefacts.adoc | 2 +- content/learn/tested.adoc | 41 ++++++----- 7 files changed, 101 insertions(+), 80 deletions(-) diff --git a/.gitignore b/.gitignore index 374e051a2..3693a51eb 100644 --- a/.gitignore +++ b/.gitignore @@ -15,4 +15,5 @@ Gemfile.lock .vscode .idea .vale -modules/.vale.ini \ No newline at end of file +modules/.vale.ini +.vale.ini \ No newline at end of file diff --git a/content/learn/about-pattern-tiers-types.adoc b/content/learn/about-pattern-tiers-types.adoc index ab155c6d9..acabd59f0 100644 --- a/content/learn/about-pattern-tiers-types.adoc +++ b/content/learn/about-pattern-tiers-types.adoc @@ -15,25 +15,25 @@ include::modules/comm-attributes.adoc[] [id="pattern-type"] == About the {solution-name-upstream} tiers -To know about the patterns that you can contribute and use, understand the following pattern tiers: +To know about the patterns that you can use and contribute towards, understand the following pattern tiers: |=== |Pattern tier|Description |{sandbox-tier-first} -|A pattern under the {sandbox} tier or a {sandbox} pattern is one that might be in a work-in-progress state. , might not yet include a demonstration. A customer business problem has potentially not been identified or fully solved -Might have been manually tested, and on a limited set of platforms -Not yet reviewed by Red{nbsp}Hat +|A pattern categorized under the {sandbox} tier is an inclusive and low-risk way to become associated with the {solution-name-upstream} project. The minimum requirement to qualify for the {sandbox} tier is that you must start with the patterns framework and include minimal documentation. +The patterns in this tier might be in a work-in-progress state; and they might have been manually tested and on a limited set of platforms. |{tested-tier-first} -The {tested} tier provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern’s owner - which might be a partner or a sufficiently motivated Subject Matter Expert (SME).| +|A pattern categorized under theThe {tested} tier provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern’s owner - which might be a partner or a sufficiently motivated Subject Matter Expert (SME). Clear business problem with demo All components are supportable*, and any Red Hat product usage signed-off by BUs Test plan (manual or automated) that passes at least once for each new OpenShift minor version within 3 months of GA |{maintained-tier-first} -|Group 2 plus… +| intended to provide consumers with additional "sales" collateral and reassurance that the pattern was known to be functional on all currently supported LTS versions of OpenShift. Inclusion in this tier may require additional work for the pattern’s owner - which might be a partner or sufficiently motivated SME. +Group 2 plus… Formal release process with z-streams CI automation (either weekly or event driven at a similar interval) diff --git a/content/learn/implementation.adoc b/content/learn/implementation.adoc index 771df79f7..02247c280 100644 --- a/content/learn/implementation.adoc +++ b/content/learn/implementation.adoc @@ -12,63 +12,72 @@ aliases: /requirements/implementation/ [id="technical-requirements"] == Technical requirements -Additional requirements specific to the implementation for all Community, and Validated patterns +Consider these requirements specific to the implementation for all {solution-name-upstream} and their respective tiers. + +The requirements are categorized as follows: + +Must:: +These are non-negotiable, core requirements that must be implemented. +Should:: +These are important but not critical; their implementation enhances the pattern. +Can:: +These are optional or desirable features, but their absence does not hinder the pattern. [id="must-implementation-requirements"] === Must -. Patterns *MUST* include one or more Git repositories, in a publicly accessible location, containing configuration elements that can be consumed by the OpenShift GitOps operator (ArgoCD) without supplying custom ArgoCD images. -. Patterns *MUST* be useful without all content stored in private git repos -. Patterns *MUST* include a list of names and versions of all the products and projects being consumed by the pattern -. Patterns *MUST* be useful without any sample applications that are private or lack public sources. +. Patterns must include one or more Git repositories, in a publicly accessible location, containing configuration elements that can be consumed by the {rh-gitops} Operator without supplying custom ArgoCD images. +. Patterns must be useful without all content stored in private git repos +. Patterns must include a list of names and versions of all the products and projects being consumed by the pattern +. Patterns must be useful without any sample applications that are private or lack public sources. + Patterns must not become useless due to bit rot or opaque incompatibilities in closed source "`applications`". -. Patterns *MUST NOT* store sensitive data elements, including but not limited to passwords, in Git -. Patterns *MUST* be possible to deploy on any IPI-based OpenShift cluster (BYO) +. Patterns must *not* store sensitive data elements, including but not limited to passwords, in Git +. Patterns must be possible to deploy on any installer-provisioned infrastructure OpenShift cluster (BYO) + We distinguish between the provisioning and configuration requirements of the initial cluster ("`Patterns`"), and of clusters/machines managed by the initial cluster (see "`Managed clusters`") -. Patterns *MUST* use a standardized https://github.com/validatedpatterns/common/tree/main/clustergroup[clustergroup] Helm chart, as the initial OpenShift GitOps application that describes all namespaces, subscriptions, and any other GitOps applications which contain the configuration elements that make up the solution. -. Managed clusters *MUST* operate on the premise of "`eventual consistency`" (automatic retries, and an expectation of idempotence), which is one of the essential benefits of the GitOps model. -. Imperative elements *MUST* be implemented as idempotent code stored in Git +. Patterns must use a standardized https://github.com/validatedpatterns/common/tree/main/clustergroup[clustergroup] Helm chart, as the initial OpenShift GitOps application that describes all namespaces, subscriptions, and any other GitOps applications which contain the configuration elements that make up the solution. +. Managed clusters must operate on the premise of "`eventual consistency`" (automatic retries, and an expectation of idempotence), which is one of the essential benefits of the GitOps model. +. Imperative elements must be implemented as idempotent code stored in Git [id="should-implementation-requirements"] === Should -. Patterns SHOULD include sample application(s) to demonstrate the business problem(s) addressed by the pattern. -. Patterns SHOULD try to indicate which parts are foundational as opposed to being for demonstration purposes. -. Patterns SHOULD use the VP operator to deploy patterns. However anything that creates the OpenShift GitOps subscription and initial clustergroup application could be acceptable. -. Patterns SHOULD embody the "`open hybrid cloud model`" unless there is a compelling reason to limit the availability of functionality to a specific platform or topology. -. Patterns SHOULD use industry standards and Red Hat products for all required tooling +. Patterns should include sample application(s) to demonstrate the business problem(s) addressed by the pattern. +. Patterns should try to indicate which parts are foundational as opposed to being for demonstration purposes. +. Patterns should use the {validated-patterns-op} to deploy patterns. However anything that creates the OpenShift GitOps subscription and initial clustergroup application could be acceptable. +. Patterns should embody the link:https://www.redhat.com/en/products/open-hybrid-cloud[Open Hybrid Cloud model] unless there is a compelling reason to limit the availability of functionality to a specific platform or topology. +. Patterns should use industry standards and Red Hat products for all required tooling + Patterns prefer current best practices at the time of pattern development. Solutions that do not conform to best practices should expect to justify non-conformance and/or expend engineering effort to conform. -. Patterns SHOULD NOT make use of upstream/community operators and images except, depending on the market segment, where critical to the overall solution. +. Patterns should *not* make use of upstream/community Operators and images except, depending on the market segment, where critical to the overall solution. + -Such operators are forbidden to be deployed into an increasing number of customer environments, which limits reuse. -Alternatives include productizing the operator, and building it in-cluster from trusted sources as part of the pattern. +Such Operators are forbidden to be deployed into an increasing number of customer environments, which limits reuse. +Alternatives include productizing the Operator, and building it in-cluster from trusted sources as part of the pattern. -. Patterns SHOULD be decomposed into modules that perform a specific function, so that they can be reused in other patterns. +. Patterns should be decomposed into modules that perform a specific function, so that they can be reused in other patterns. + For example, Bucket Notification is a capability in the Medical Diagnosis pattern that could be used for other solutions. -. Patterns SHOULD use Ansible Automation Platform to drive the declarative provisioning and management of managed hosts (e.g. RHEL). See also "`Imperative elements`". -. Patterns SHOULD use RHACM to manage policy and compliance on any managed clusters. -. Patterns SHOULD use RHACM and a https://github.com/validatedpatterns/common/tree/main/acm[standardized acm chart] to deploy and configure OpenShift GitOps to managed clusters. -. Managed clusters SHOULD be loosely coupled to their hub, and use OpenShift GitOps to consume applications and configuration directly from Git as opposed to having hard dependencies on a centralized cluster. -. Managed clusters SHOULD use the "`pull`" deployment model for obtaining their configuration. -. Imperative elements SHOULD be implemented as Ansible playbooks -. Imperative elements SHOULD be driven declaratively -- by which we mean that the playbooks should be triggered by Jobs and/or CronJobs stored in Git and delivered by OpenShift GitOps. +. Patterns should use Ansible Automation Platform to drive the declarative provisioning and management of managed hosts (e.g. RHEL). See also "`Imperative elements`". +. Patterns should use RHACM to manage policy and compliance on any managed clusters. +. Patterns should use RHACM and a https://github.com/validatedpatterns/common/tree/main/acm[standardized acm chart] to deploy and configure OpenShift GitOps to managed clusters. +. Managed clusters should be loosely coupled to their hub, and use OpenShift GitOps to consume applications and configuration directly from Git as opposed to having hard dependencies on a centralized cluster. +. Managed clusters should use the "`pull`" deployment model for obtaining their configuration. +. Imperative elements should be implemented as Ansible playbooks +. Imperative elements should be driven declaratively -- by which we mean that the playbooks should be triggered by Jobs and/or CronJobs stored in Git and delivered by OpenShift GitOps. [id="can-implementation-requirements"] === Can -. Patterns CAN include additional configuration and/or demo elements located in one or more additional private git repos. -. Patterns CAN include automation that deploys a known set of clusters and/or machines in a specific topology -. Patterns CAN limit functionality/testing claims to specific platforms, topologies, and cluster/node sizes -. Patterns CAN consume operators from established partners (e.g. Hashicorp Vault, and Seldon) -. Patterns CAN include managed clusters -. Patterns CAN include details or automation for provisioning managed clusters, or rely on the admin to pre-provision them out-of-band. -. Patterns CAN also choose to model multi-cluster solutions as an uncoordinated collection of "`initial hub clusters`" -. Imperative elements CAN interact with cluster state and/or external influences +. Patterns can include additional configuration and/or demo elements located in one or more additional private git repos. +. Patterns can include automation that deploys a known set of clusters and/or machines in a specific topology +. Patterns can limit functionality/testing claims to specific platforms, topologies, and cluster/node sizes +. Patterns can consume Operators from established partners (e.g. Hashicorp Vault, and Seldon) +. Patterns can include managed clusters +. Patterns can include details or automation for provisioning managed clusters, or rely on the admin to pre-provision them out-of-band. +. Patterns can also choose to model multi-cluster solutions as an uncoordinated collection of "`initial hub clusters`" +. Imperative elements can interact with cluster state and/or external influences \ No newline at end of file diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index 98e494cc9..6cd65b1f1 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -38,16 +38,16 @@ specified for the link:/requirements/tested/[Tested tier] [id="must-maintained-tier"] === Must -. {maintained} pattern *MUST* continue to meet the following criteria to remain in Maintained Tested tier -. {maintained} pattern *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] -. {maintained} pattern *MUST* only make use of components that are either supported, or easily substitued for supportable equivalents (eg. HashiCorp vault which has community and enterprise variants) -. {maintained} pattern *MUST NOT* rely on functionality in tech-preview, or hidden behind feature gates -. {maintained} pattern *MUST* have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams` intentions and roadmaps -. {maintained} pattern *MUST* include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution -. {maintained} pattern *MUST* include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week -. {maintained} pattern *MUST* be tested on all currently supported OpenShift LTS releases -. {maintained} pattern *MUST* fix breakage in a "timely" manner -. {maintained} pattern *MUST* document their support policy +. {maintained} pattern must continue to meet the following criteria to remain in Maintained Tested tier +. {maintained} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] +. {maintained} pattern must only make use of components that are either supported, or easily substitued for supportable equivalents (eg. HashiCorp vault which has community and enterprise variants) +. {maintained} pattern must *not* rely on functionality in tech-preview, or hidden behind feature gates +. {maintained} pattern must have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams` intentions and roadmaps +. {maintained} pattern must include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution +. {maintained} pattern must include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week +. {maintained} pattern must be tested on all currently supported OpenShift LTS releases +. {maintained} pattern must fix breakage in a "timely" manner +. {maintained} pattern must document their support policy + The individual products used in a Validated Pattern are backed by the full Red Hat support experience conditional on the customer's subscription to those products, and the individual products`' support policy. + @@ -57,7 +57,11 @@ The {solution-name-upstream} team is very motivated to address any problems in t + TODO: Create an aDoc version of our support statement slide -. {maintained} pattern *DO NOT* imply an obligation of support for partner or community operators by Red Hat. +[NOTE] +==== +The {maintained} pattern *do not* imply an obligation of support for partner or community operators by Red Hat. +==== + [id="can-maintained-tier"] === Can diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index edeedbf2c..780d790b3 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -40,18 +40,18 @@ General requirements for all {solution-name-upstream} [id="must-sandbox-tier"] === Must -. {sandbox} pattern *MUST* continue to meet the following criteria to remain in the Sandbox tier -. {sandbox} pattern *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] -. {sandbox} pattern *MUST* be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning -. {sandbox} pattern *MUST* include a top-level README highlighting the business problem and how the pattern solves it -. {sandbox} pattern *MUST* include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. -. {sandbox} pattern *MUST* undergo an informal technical review by a community leader to ensure that it meets basic reuse standards -. {sandbox} pattern *MUST* undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. +. {sandbox} pattern must continue to meet the following criteria to remain in the Sandbox tier +. {sandbox} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] +. {sandbox} pattern must be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning +. {sandbox} pattern must include a top-level README highlighting the business problem and how the pattern solves it +. {sandbox} pattern must include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. +. {sandbox} pattern must undergo an informal technical review by a community leader to ensure that it meets basic reuse standards +. {sandbox} pattern must undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. + For example: not using a database as a message bus. As community leaders, contributions from within Red Hat may be subject to a higher level of scrutiny. While we strive to be inclusive, the community will have quality standards and generally using the framework does not automatically imply a solution is suitable for the community to endorse/publish. -. {sandbox} pattern *MUST* document their support policy +. {sandbox} pattern must document their support policy + It is anticipated that most{sandbox} pattern will be supported by the community on a best-effort basis, but this should be stated explicitly. The {solution-name-upstream} team commits to maintaining the framework but will also accept help. @@ -60,6 +60,6 @@ The {solution-name-upstream} team commits to maintaining the framework but will [id="can-sandbox-tier"] === Can -. {sandbox} pattern (including works-in-progress) CAN be hosted in the link:https://github.com/validatedpatterns-sandbox[https://github.com/validatedpatterns-sandbox] GitHub organization +. {sandbox} pattern (including works-in-progress) can be hosted in the link:https://github.com/validatedpatterns-sandbox[https://github.com/validatedpatterns-sandbox] GitHub organization . {sandbox} pattern CAN be listed on the link:https://validatedpatterns.io[https://validatedpatterns.io] site -. {sandbox} pattern meeting additional criteria CAN be nominated for promotion to the link:/learn/tested/[Tested tier] +. {sandbox} pattern meeting additional criteria can be nominated for promotion to the link:/learn/tested/[Tested tier] diff --git a/content/learn/test-artefacts.adoc b/content/learn/test-artefacts.adoc index 886c6fa9b..d3c62c5e3 100644 --- a/content/learn/test-artefacts.adoc +++ b/content/learn/test-artefacts.adoc @@ -12,7 +12,7 @@ aliases: /requirements/tested/ [id="testing-artefacts"] = Testing artefacts -In order to be represented in the CI dashboard, testers can create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. +To be represented in the CI dashboard, testers can create a publicly available JSON file (for example, in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and {rh-ocp} version. [id="file-naming-convention"] == File naming convention diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index 31b6a0399..3ea1f5063 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -15,14 +15,17 @@ include::modules/comm-attributes.adoc[] [id="about-tested-tier"] = About the {tested-tier-first} -The {tested} tier provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or a sufficiently motivated Subject Matter Expert (SME). +The {tested} tier provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or a sufficiently motivated subject matter expert (SME). [id="nominating-a-community-pattern-to-become-maintained"] == Nominating a tested pattern for promotion to a maintained pattern If there is a Tested pattern that you believe would be a good candidate for promotion to Maintained, you can make that case by mailing mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. -Please be aware that each Tested pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all {solution-name-upstream}. +[IMPORTANT] +==== +each Tested pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all {solution-name-upstream}. +==== For this reason we have designed the tiers and our processes to facilitate this to occur outside of the team by any sufficiently motivated party, including other parts of Red Hat, partners, and even customers. @@ -38,37 +41,41 @@ specified for the link:/requirements/sandbox/[Sandbox tier] [id="must-tested-tier"] === Must -. {tested} pattern *MUST* continue to meet the following criteria to remain in the {tested} tier -. {tested} pattern *MUST* conform to the common technical link:/requirements/implementation/[implementation requirements] -. {tested} pattern *MUST* be meaningful without specialized hardware, including flavors of architectures not explicitly supported. +. {tested} pattern must continue to meet the following criteria to remain in the {tested} tier +. {tested} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] +. {tested} pattern must be meaningful without specialized hardware, including flavors of architectures not explicitly supported. + Qualification is a {solution-name-upstream} TOC decision with input from the pattern owner. -. {tested} pattern *MUST* have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. -. {tested} pattern *MUST* include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling -. {tested} pattern *MUST* include a written guide for others to follow when demonstrating the pattern -. {tested} pattern *MUST* include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. +. {tested} pattern must have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. +. {tested} pattern must include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling +. {tested} pattern must include a written guide for others to follow when demonstrating the pattern +. {tested} pattern must include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. + -The test plan *MUST* define how to validate if the pattern has been successfully deployed and is functionally operational. +The test plan must define how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] + //TODO: Convert above link to adoc -. {tested} pattern *MUST* nominate at least one currently supported OpenShift release to test against -. {tested} pattern *MUST* ensure the test plan passes at least once per quarter -. {tested} pattern *MUST* create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. See link:/learn/test-artefacts/[testing artefacts] -. {tested} pattern *DO NOT* imply an obligation of support for partner or community operators by Red Hat or the pattern owner. +. {tested} pattern must nominate at least one currently supported OpenShift release to test against +. {tested} pattern must ensure the test plan passes at least once per quarter +. {tested} pattern must create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. See link:/learn/test-artefacts/[testing artefacts] + +[NOTE] +==== +The {tested} pattern *do not* imply an obligation of support for partner or community operators by Red Hat or the pattern owner. +==== [id="should-tested-tier"] === Should -. {tested} pattern SHOULD be broadly applicable. -. {tested} pattern SHOULD focus on functionality not performance. +. {tested} pattern should be broadly applicable. +. {tested} pattern should focus on functionality not performance. [id="can-tested-tier"] === Can -. Teams creating {tested} pattern CAN provide their own SLA +. Teams creating {tested} pattern can provide their own SLA + A document for QE that defines, at a technical level, how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] From ea630902f7a3c06f0c860e05f985af8faf8c0306 Mon Sep 17 00:00:00 2001 From: Avani Bhatt Date: Mon, 30 Oct 2023 19:06:22 +0000 Subject: [PATCH 12/15] Cleanup, rewrite, unordered list, use attributes --- content/learn/about-pattern-tiers-types.adoc | 23 +++++---- content/learn/implementation.adoc | 52 +++++++++++--------- content/learn/maintained.adoc | 29 +++++------ content/learn/sandbox.adoc | 24 ++++----- content/learn/test-artefacts.adoc | 3 ++ content/learn/tested.adoc | 30 +++++------ 6 files changed, 84 insertions(+), 77 deletions(-) diff --git a/content/learn/about-pattern-tiers-types.adoc b/content/learn/about-pattern-tiers-types.adoc index acabd59f0..d259c517e 100644 --- a/content/learn/about-pattern-tiers-types.adoc +++ b/content/learn/about-pattern-tiers-types.adoc @@ -2,7 +2,7 @@ menu: learn: parent: Workflow -title: Validated Pattern Tiers +title: Validated Pattern tiers weight: 41 aliases: /learn/pattern-tier-overview --- @@ -15,27 +15,26 @@ include::modules/comm-attributes.adoc[] [id="pattern-type"] == About the {solution-name-upstream} tiers -To know about the patterns that you can use and contribute towards, understand the following pattern tiers: +To contribute to the patterns that suit your usecase or to learn about onboarding your own pattern, understand the following pattern tiers. |=== |Pattern tier|Description |{sandbox-tier-first} -|A pattern categorized under the {sandbox} tier is an inclusive and low-risk way to become associated with the {solution-name-upstream} project. The minimum requirement to qualify for the {sandbox} tier is that you must start with the patterns framework and include minimal documentation. -The patterns in this tier might be in a work-in-progress state; and they might have been manually tested and on a limited set of platforms. +|A pattern categorized under the {sandbox} tier provides you with an entry-point to onboard to the {solution-name-upstream}. The minimum requirement to qualify for the {sandbox} tier is that you must start with the patterns framework and include minimal documentation. + +These patterns in this tier might be in a work-in-progress state; and they might have been manually tested on a limited set of platforms. |{tested-tier-first} -|A pattern categorized under theThe {tested} tier provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern’s owner - which might be a partner or a sufficiently motivated Subject Matter Expert (SME). -Clear business problem with demo -All components are supportable*, and any Red Hat product usage signed-off by BUs -Test plan (manual or automated) that passes at least once for each new OpenShift minor version within 3 months of GA +|A pattern categorized under the {tested} tier implies that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner, who might be a partner or a sufficiently motivated subject matter expert (SME). +//Additional work such as? +These patterns in this tier might have a defined business problem with demonstration. The patterns might have a test plan - manual or automated, which passes at least once for each new {rh-ocp} minor version. |{maintained-tier-first} -| intended to provide consumers with additional "sales" collateral and reassurance that the pattern was known to be functional on all currently supported LTS versions of OpenShift. Inclusion in this tier may require additional work for the pattern’s owner - which might be a partner or sufficiently motivated SME. -Group 2 plus… -Formal release process with z-streams -CI automation (either weekly or event driven at a similar interval) +|A pattern categorized under the {tested} tier implies that the pattern was known to be functional on all currently supported extended update support (EUS) versions of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner who might be a partner or a sufficiently motivated SME. + +These patterns might have a formal release process with z-streams They might have continuous integration (CI) automation testing. |=== diff --git a/content/learn/implementation.adoc b/content/learn/implementation.adoc index 02247c280..3cc7ea25d 100644 --- a/content/learn/implementation.adoc +++ b/content/learn/implementation.adoc @@ -9,10 +9,13 @@ aliases: /requirements/implementation/ :toc: +:_content-type: ASSEMBLY +include::modules/comm-attributes.adoc[] + [id="technical-requirements"] == Technical requirements -Consider these requirements specific to the implementation for all {solution-name-upstream} and their respective tiers. +Consider these requirements specific to the implementation of all {solution-name-upstream} and their respective tiers. The requirements are categorized as follows: @@ -21,24 +24,24 @@ These are non-negotiable, core requirements that must be implemented. Should:: These are important but not critical; their implementation enhances the pattern. Can:: -These are optional or desirable features, but their absence does not hinder the pattern. +These are optional or desirable features, but their absence does not hinder the implementation of a pattern. [id="must-implementation-requirements"] === Must -. Patterns must include one or more Git repositories, in a publicly accessible location, containing configuration elements that can be consumed by the {rh-gitops} Operator without supplying custom ArgoCD images. -. Patterns must be useful without all content stored in private git repos -. Patterns must include a list of names and versions of all the products and projects being consumed by the pattern -. Patterns must be useful without any sample applications that are private or lack public sources. -+ -Patterns must not become useless due to bit rot or opaque incompatibilities in closed source "`applications`". +. Patterns must include one or more Git repositories in a publicly accessible location, containing configuration elements that can be consumed by the {rh-gitops} Operator without supplying custom ArgoCD images. +. Patterns must be useful without all content stored in private Git repositories. +. Patterns must include a list of names and versions of all the products and projects being consumed by the pattern. +. Patterns must be useful without any sample applications that are private or that lack public sources. +//AI:why application was styled that way +Patterns must *not* become useless due to bit rot or opaque incompatibilities in closed source applications. -. Patterns must *not* store sensitive data elements, including but not limited to passwords, in Git -. Patterns must be possible to deploy on any installer-provisioned infrastructure OpenShift cluster (BYO) -+ -We distinguish between the provisioning and configuration requirements of the initial cluster ("`Patterns`"), and of clusters/machines managed by the initial cluster (see "`Managed clusters`") +. Patterns must *not* store sensitive data elements, including but not limited to passwords, in Git repositories. +. Patterns must be possible to deploy on any installer-provisioned infrastructure OpenShift cluster (BYO). +//AI:why Patterns and Managed clusters is styled that way +We distinguish between the provisioning and configuration requirements of the initial cluster (`Patterns`), and of clusters/machines managed by the initial cluster (see `Managed clusters`). -. Patterns must use a standardized https://github.com/validatedpatterns/common/tree/main/clustergroup[clustergroup] Helm chart, as the initial OpenShift GitOps application that describes all namespaces, subscriptions, and any other GitOps applications which contain the configuration elements that make up the solution. +. Patterns must use a standardized https://github.com/validatedpatterns/common/tree/main/clustergroup[clustergroup] Helm chart, as the initial {rh-gitops} application that describes all namespaces, subscriptions, and any other GitOps applications which contain the configuration elements that make up the solution. . Managed clusters must operate on the premise of "`eventual consistency`" (automatic retries, and an expectation of idempotence), which is one of the essential benefits of the GitOps model. . Imperative elements must be implemented as idempotent code stored in Git @@ -47,7 +50,7 @@ We distinguish between the provisioning and configuration requirements of the in . Patterns should include sample application(s) to demonstrate the business problem(s) addressed by the pattern. . Patterns should try to indicate which parts are foundational as opposed to being for demonstration purposes. -. Patterns should use the {validated-patterns-op} to deploy patterns. However anything that creates the OpenShift GitOps subscription and initial clustergroup application could be acceptable. +. Patterns should use the {validated-patterns-op} to deploy patterns. However anything that creates the {rh-gitops-short} subscription and initial clustergroup application could be acceptable. . Patterns should embody the link:https://www.redhat.com/en/products/open-hybrid-cloud[Open Hybrid Cloud model] unless there is a compelling reason to limit the availability of functionality to a specific platform or topology. . Patterns should use industry standards and Red Hat products for all required tooling + @@ -64,20 +67,21 @@ For example, Bucket Notification is a capability in the Medical Diagnosis patter . Patterns should use Ansible Automation Platform to drive the declarative provisioning and management of managed hosts (e.g. RHEL). See also "`Imperative elements`". . Patterns should use RHACM to manage policy and compliance on any managed clusters. -. Patterns should use RHACM and a https://github.com/validatedpatterns/common/tree/main/acm[standardized acm chart] to deploy and configure OpenShift GitOps to managed clusters. -. Managed clusters should be loosely coupled to their hub, and use OpenShift GitOps to consume applications and configuration directly from Git as opposed to having hard dependencies on a centralized cluster. +. Patterns should use RHACM and a https://github.com/validatedpatterns/common/tree/main/acm[standardized acm chart] to deploy and configure {rh-gitops-short} to managed clusters. +. Managed clusters should be loosely coupled to their hub, and use {rh-gitops-short} to consume applications and configuration directly from Git as opposed to having hard dependencies on a centralized cluster. . Managed clusters should use the "`pull`" deployment model for obtaining their configuration. . Imperative elements should be implemented as Ansible playbooks -. Imperative elements should be driven declaratively -- by which we mean that the playbooks should be triggered by Jobs and/or CronJobs stored in Git and delivered by OpenShift GitOps. +. Imperative elements should be driven declaratively -- by which we mean that the playbooks should be triggered by Jobs or CronJobs stored in Git and delivered by {rh-gitops-short}. [id="can-implementation-requirements"] === Can -. Patterns can include additional configuration and/or demo elements located in one or more additional private git repos. -. Patterns can include automation that deploys a known set of clusters and/or machines in a specific topology -. Patterns can limit functionality/testing claims to specific platforms, topologies, and cluster/node sizes -. Patterns can consume Operators from established partners (e.g. Hashicorp Vault, and Seldon) -. Patterns can include managed clusters +. Patterns can include additional configuration and/or demo elements located in one or more additional private Git repositories. +. Patterns can include automation that deploys a known set of clusters and/or machines in a specific topology. +. Patterns can limit functionality/testing claims to specific platforms, topologies, and cluster/node sizes. +. Patterns can consume Operators from established partners (for example, Hashicorp Vault, and Seldon) +. Patterns can include managed clusters. . Patterns can include details or automation for provisioning managed clusters, or rely on the admin to pre-provision them out-of-band. -. Patterns can also choose to model multi-cluster solutions as an uncoordinated collection of "`initial hub clusters`" -. Imperative elements can interact with cluster state and/or external influences \ No newline at end of file +//AI:why initial hub clusters was styled that way. +. Patterns can also choose to model multi-cluster solutions as an uncoordinated collection of `initial hub clusters` +. Imperative elements can interact with cluster state or external influences. \ No newline at end of file diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index 6cd65b1f1..28ae6aa57 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -9,6 +9,7 @@ aliases: /requirements/validated/ --- :toc: + :_content-type: ASSEMBLY include::modules/comm-attributes.adoc[] @@ -38,32 +39,32 @@ specified for the link:/requirements/tested/[Tested tier] [id="must-maintained-tier"] === Must -. {maintained} pattern must continue to meet the following criteria to remain in Maintained Tested tier -. {maintained} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] +A {maintained} pattern must continue to meet the following criteria to remain in {maintained} tier: + +* A {maintained} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] . {maintained} pattern must only make use of components that are either supported, or easily substitued for supportable equivalents (eg. HashiCorp vault which has community and enterprise variants) -. {maintained} pattern must *not* rely on functionality in tech-preview, or hidden behind feature gates -. {maintained} pattern must have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams` intentions and roadmaps -. {maintained} pattern must include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution -. {maintained} pattern must include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week -. {maintained} pattern must be tested on all currently supported OpenShift LTS releases -. {maintained} pattern must fix breakage in a "timely" manner -. {maintained} pattern must document their support policy +* A {maintained} pattern must *not* rely on functionality in tech-preview, or hidden behind feature gates +* A {maintained} pattern must have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams` intentions and roadmaps +* A {maintained} pattern must include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution +* A {maintained} pattern must include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week +* A {maintained} pattern must be tested on all currently supported OpenShift LTS releases +* A {maintained} pattern must fix breakage in timely manner +* A {maintained} pattern must document their support policy + -The individual products used in a Validated Pattern are backed by the full Red Hat support experience conditional on the customer's subscription to those products, and the individual products`' support policy. +The individual products used in a Validated Pattern are backed by the full Red Hat support experience conditional on the customer's subscription to those products, and the individual products`s support policy. + Additional components in a Validated Pattern that are not supported by Red Hat (e.g. Hashicorp Vault, and Seldon Core) will require a customer to obtain support from that vendor directly. + The {solution-name-upstream} team is very motivated to address any problems in the VP Operator, as well as problems in the common helm charts, but cannot not offer any SLAs at this time. + -TODO: Create an aDoc version of our support statement slide +//TODO: Create an aDoc version of our support statement slide [NOTE] ==== -The {maintained} pattern *do not* imply an obligation of support for partner or community operators by Red Hat. +The {maintained} patterns *do not* imply an obligation of support for partner or community operators by Red Hat. ==== - [id="can-maintained-tier"] === Can -. Teams creating {solution-name-upstream} CAN provide their own SLA +. Teams creating {solution-name-upstream} can provide their own SLA diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index 780d790b3..32145a399 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -39,19 +39,19 @@ General requirements for all {solution-name-upstream} [id="must-sandbox-tier"] === Must - -. {sandbox} pattern must continue to meet the following criteria to remain in the Sandbox tier -. {sandbox} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] -. {sandbox} pattern must be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning -. {sandbox} pattern must include a top-level README highlighting the business problem and how the pattern solves it -. {sandbox} pattern must include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. -. {sandbox} pattern must undergo an informal technical review by a community leader to ensure that it meets basic reuse standards -. {sandbox} pattern must undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. +A {sandbox} pattern must continue to meet the following criteria to remain in the {sandbox} tier: + +* A {sandbox} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] +* A {sandbox} pattern must be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning +* A {sandbox} pattern must include a top-level README highlighting the business problem and how the pattern solves it +* A {sandbox} pattern must include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. +* A {sandbox} pattern must undergo an informal technical review by a community leader to ensure that it meets basic reuse standards +* A {sandbox} pattern must undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. + For example: not using a database as a message bus. As community leaders, contributions from within Red Hat may be subject to a higher level of scrutiny. While we strive to be inclusive, the community will have quality standards and generally using the framework does not automatically imply a solution is suitable for the community to endorse/publish. -. {sandbox} pattern must document their support policy +* A {sandbox} pattern must document their support policy + It is anticipated that most{sandbox} pattern will be supported by the community on a best-effort basis, but this should be stated explicitly. The {solution-name-upstream} team commits to maintaining the framework but will also accept help. @@ -60,6 +60,6 @@ The {solution-name-upstream} team commits to maintaining the framework but will [id="can-sandbox-tier"] === Can -. {sandbox} pattern (including works-in-progress) can be hosted in the link:https://github.com/validatedpatterns-sandbox[https://github.com/validatedpatterns-sandbox] GitHub organization -. {sandbox} pattern CAN be listed on the link:https://validatedpatterns.io[https://validatedpatterns.io] site -. {sandbox} pattern meeting additional criteria can be nominated for promotion to the link:/learn/tested/[Tested tier] +* A {sandbox} pattern (including works-in-progress) can be hosted in the link:https://github.com/validatedpatterns-sandbox[https://github.com/validatedpatterns-sandbox] GitHub organization +* A {sandbox} pattern CAN be listed on the link:https://validatedpatterns.io[https://validatedpatterns.io] site +* A {sandbox} pattern meeting additional criteria can be nominated for promotion to the link:/learn/tested/[Tested tier] diff --git a/content/learn/test-artefacts.adoc b/content/learn/test-artefacts.adoc index d3c62c5e3..b82a1b021 100644 --- a/content/learn/test-artefacts.adoc +++ b/content/learn/test-artefacts.adoc @@ -9,6 +9,9 @@ aliases: /requirements/tested/ :toc: +:_content-type: ASSEMBLY +include::modules/comm-attributes.adoc[] + [id="testing-artefacts"] = Testing artefacts diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index 3ea1f5063..bb37acac8 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -41,25 +41,25 @@ specified for the link:/requirements/sandbox/[Sandbox tier] [id="must-tested-tier"] === Must -. {tested} pattern must continue to meet the following criteria to remain in the {tested} tier -. {tested} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] -. {tested} pattern must be meaningful without specialized hardware, including flavors of architectures not explicitly supported. +* A {tested} pattern must continue to meet the following criteria to remain in the {tested} tier +* A {tested} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] +* A {tested} pattern must be meaningful without specialized hardware, including flavors of architectures not explicitly supported. + Qualification is a {solution-name-upstream} TOC decision with input from the pattern owner. -. {tested} pattern must have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. -. {tested} pattern must include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling -. {tested} pattern must include a written guide for others to follow when demonstrating the pattern -. {tested} pattern must include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. +* A {tested} pattern must have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. +* A {tested} pattern must include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling +* A {tested} pattern must include a written guide for others to follow when demonstrating the pattern +* A {tested} pattern must include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. + The test plan must define how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] + //TODO: Convert above link to adoc -. {tested} pattern must nominate at least one currently supported OpenShift release to test against -. {tested} pattern must ensure the test plan passes at least once per quarter -. {tested} pattern must create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. See link:/learn/test-artefacts/[testing artefacts] +* A {tested} pattern must nominate at least one currently supported OpenShift release to test against +* A {tested} pattern must ensure the test plan passes at least once per quarter +* A {tested} pattern must create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. See link:/learn/test-artefacts/[testing artefacts] [NOTE] ==== @@ -69,15 +69,15 @@ The {tested} pattern *do not* imply an obligation of support for partner or comm [id="should-tested-tier"] === Should -. {tested} pattern should be broadly applicable. -. {tested} pattern should focus on functionality not performance. +* A {tested} pattern should be broadly applicable. +* A {tested} pattern should focus on functionality not performance. [id="can-tested-tier"] === Can -. Teams creating {tested} pattern can provide their own SLA -+ +Teams creating {tested} pattern can provide their own service level agreement (SLA). + A document for QE that defines, at a technical level, how to validate if the pattern has been successfully deployed and is functionally operational. Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] -. {tested} pattern meeting additional criteria CAN be nominated for promotion to the link:/learn/maintained/[Maintained tier] +* A {tested} pattern meeting additional criteria CAN be nominated for promotion to the link:/learn/maintained/[Maintained tier] From 4853d4b9cdbe6556f4e58c09b5489155ebff5000 Mon Sep 17 00:00:00 2001 From: Avani Bhatt Date: Tue, 31 Oct 2023 19:23:09 +0000 Subject: [PATCH 13/15] more clean up of mixed up pattern names, language, added comments about certain verbiage --- content/learn/about-pattern-tiers-types.adoc | 22 ++++----- content/learn/implementation.adoc | 44 +++++++++--------- content/learn/maintained.adoc | 47 +++++++++++--------- content/learn/sandbox.adoc | 41 ++++++++--------- content/learn/tested.adoc | 27 +++++------ modules/comm-attributes.adoc | 1 + 6 files changed, 93 insertions(+), 89 deletions(-) diff --git a/content/learn/about-pattern-tiers-types.adoc b/content/learn/about-pattern-tiers-types.adoc index d259c517e..3f66926f1 100644 --- a/content/learn/about-pattern-tiers-types.adoc +++ b/content/learn/about-pattern-tiers-types.adoc @@ -4,7 +4,7 @@ menu: parent: Workflow title: Validated Pattern tiers weight: 41 -aliases: /learn/pattern-tier-overview +aliases: /learn/about-pattern-tiers-types --- :toc: @@ -15,26 +15,26 @@ include::modules/comm-attributes.adoc[] [id="pattern-type"] == About the {solution-name-upstream} tiers -To contribute to the patterns that suit your usecase or to learn about onboarding your own pattern, understand the following pattern tiers. +The different tiers of {solution-name-upstream} are designed to facilitate ongoing maintenance, support, and testing effort for a pattern. To contribute to a pattern that suits your solution or to learn about onboarding your own pattern, understand the following pattern tiers. |=== |Pattern tier|Description -|{sandbox-tier-first} -|A pattern categorized under the {sandbox} tier provides you with an entry-point to onboard to the {solution-name-upstream}. The minimum requirement to qualify for the {sandbox} tier is that you must start with the patterns framework and include minimal documentation. +|link:/requirements/sandbox/[{sandbox-tier-first}] +|A pattern categorized under the {sandbox} tier provides you with an entry point to onboard to {solution-name-upstream}. The minimum requirement to qualify for the {sandbox} tier is to start with the patterns framework and include minimal documentation. -These patterns in this tier might be in a work-in-progress state; and they might have been manually tested on a limited set of platforms. +The patterns in this tier might be in a work-in-progress state; and they might have been manually tested on a limited set of platforms. -|{tested-tier-first} -|A pattern categorized under the {tested} tier implies that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner, who might be a partner or a sufficiently motivated subject matter expert (SME). +|link:/requirements/tested/[{tested-tier-first}] +|A pattern categorized under the {tested} tier implies that the pattern might have been recently working on at least one recent version of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner, who might be a partner or a motivated subject matter expert (SME). //Additional work such as? -These patterns in this tier might have a defined business problem with demonstration. The patterns might have a test plan - manual or automated, which passes at least once for each new {rh-ocp} minor version. +The patterns in this tier might have a defined business problem with a demonstration. The patterns might have a manual or automated test plan, which passes at least once for each new {rh-ocp} minor version. -|{maintained-tier-first} -|A pattern categorized under the {tested} tier implies that the pattern was known to be functional on all currently supported extended update support (EUS) versions of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner who might be a partner or a sufficiently motivated SME. +|link:/requirements/maintained/[{maintained-tier-first}] +|A pattern categorized under the {maintained} tier implies that the pattern might have been functional on all currently supported extended update support (EUS) versions of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner who might be a partner or a motivated SME. -These patterns might have a formal release process with z-streams They might have continuous integration (CI) automation testing. +The patterns in this tier might have a formal release process with patch releases. They might have continuous integration (CI) automation testing. |=== diff --git a/content/learn/implementation.adoc b/content/learn/implementation.adoc index 3cc7ea25d..2c2a88ba9 100644 --- a/content/learn/implementation.adoc +++ b/content/learn/implementation.adoc @@ -29,49 +29,45 @@ These are optional or desirable features, but their absence does not hinder the [id="must-implementation-requirements"] === Must -. Patterns must include one or more Git repositories in a publicly accessible location, containing configuration elements that can be consumed by the {rh-gitops} Operator without supplying custom ArgoCD images. +. Patterns must include one or more Git repositories in a publicly accessible location, containing configuration elements that can be consumed by the {rh-gitops} Operator without supplying custom Argo CD images. . Patterns must be useful without all content stored in private Git repositories. -. Patterns must include a list of names and versions of all the products and projects being consumed by the pattern. +. Patterns must include a list of names and versions of all the products and projects that the pattern consumes. . Patterns must be useful without any sample applications that are private or that lack public sources. //AI:why application was styled that way Patterns must *not* become useless due to bit rot or opaque incompatibilities in closed source applications. - -. Patterns must *not* store sensitive data elements, including but not limited to passwords, in Git repositories. +. Patterns must *not* store sensitive data elements, including but not limited to, passwords in Git repositories. . Patterns must be possible to deploy on any installer-provisioned infrastructure OpenShift cluster (BYO). //AI:why Patterns and Managed clusters is styled that way -We distinguish between the provisioning and configuration requirements of the initial cluster (`Patterns`), and of clusters/machines managed by the initial cluster (see `Managed clusters`). - -. Patterns must use a standardized https://github.com/validatedpatterns/common/tree/main/clustergroup[clustergroup] Helm chart, as the initial {rh-gitops} application that describes all namespaces, subscriptions, and any other GitOps applications which contain the configuration elements that make up the solution. -. Managed clusters must operate on the premise of "`eventual consistency`" (automatic retries, and an expectation of idempotence), which is one of the essential benefits of the GitOps model. -. Imperative elements must be implemented as idempotent code stored in Git +We distinguish between the provisioning and configuration requirements of the initial cluster (`Patterns`) and of clusters or machines that are managed by the initial cluster (see `Managed clusters`). +. Patterns must use a standardized https://github.com/validatedpatterns/common/tree/main/clustergroup[clustergroup] Helm chart as the initial {rh-gitops} application that describes all namespaces, subscriptions, and any other GitOps applications which contain the configuration elements that make up the solution. +. Managed clusters must operate on the premise of `eventual consistency` (automatic retries, and an expectation of idempotence), which is one of the essential benefits of the GitOps model. +. Imperative elements must be implemented as idempotent code stored in Git repository. [id="should-implementation-requirements"] === Should -. Patterns should include sample application(s) to demonstrate the business problem(s) addressed by the pattern. +. Patterns should include sample applications to demonstrate the business problems addressed by the pattern. . Patterns should try to indicate which parts are foundational as opposed to being for demonstration purposes. -. Patterns should use the {validated-patterns-op} to deploy patterns. However anything that creates the {rh-gitops-short} subscription and initial clustergroup application could be acceptable. +. Patterns should use the {validated-patterns-op} to deploy patterns. However, anything that creates the {rh-gitops-short} subscription and initial clustergroup application could be acceptable. . Patterns should embody the link:https://www.redhat.com/en/products/open-hybrid-cloud[Open Hybrid Cloud model] unless there is a compelling reason to limit the availability of functionality to a specific platform or topology. -. Patterns should use industry standards and Red Hat products for all required tooling +. Patterns should use industry standards and {redhat} products for all required tooling. + -Patterns prefer current best practices at the time of pattern development. Solutions that do not conform to best practices should expect to justify non-conformance and/or expend engineering effort to conform. - -. Patterns should *not* make use of upstream/community Operators and images except, depending on the market segment, where critical to the overall solution. +Patterns prefer current best practices at the time of pattern development. Solutions that do not conform to best practices should expect to justify non-conformance or expend engineering effort to conform. +. Patterns should *not* make use of upstream or community Operators and images except, depending on the market segment, where it is critical to the overall solution. + -Such Operators are forbidden to be deployed into an increasing number of customer environments, which limits reuse. -Alternatives include productizing the Operator, and building it in-cluster from trusted sources as part of the pattern. +Such Operators are forbidden to be deployed into an increasing number of customer environments, which limits the pattern reuse. Alternatively, consider to productize the Operator, and build it in-cluster from trusted sources as part of the pattern. . Patterns should be decomposed into modules that perform a specific function, so that they can be reused in other patterns. + -For example, Bucket Notification is a capability in the Medical Diagnosis pattern that could be used for other solutions. +For example, Bucket Notification is a capability in the {med-pattern} that could be used for other solutions. -. Patterns should use Ansible Automation Platform to drive the declarative provisioning and management of managed hosts (e.g. RHEL). See also "`Imperative elements`". -. Patterns should use RHACM to manage policy and compliance on any managed clusters. -. Patterns should use RHACM and a https://github.com/validatedpatterns/common/tree/main/acm[standardized acm chart] to deploy and configure {rh-gitops-short} to managed clusters. +. Patterns should use {rh-ansible} to drive the declarative provisioning and management of managed hosts, for example, {rhel-first}. See also `Imperative elements`. +. Patterns should use {rh-rhacm-first} to manage policy and compliance on any managed clusters. +. Patterns should use {rh-rhacm} and a https://github.com/validatedpatterns/common/tree/main/acm[standardized RHACM chart] to deploy and configure {rh-gitops-short} to managed clusters. . Managed clusters should be loosely coupled to their hub, and use {rh-gitops-short} to consume applications and configuration directly from Git as opposed to having hard dependencies on a centralized cluster. -. Managed clusters should use the "`pull`" deployment model for obtaining their configuration. -. Imperative elements should be implemented as Ansible playbooks -. Imperative elements should be driven declaratively -- by which we mean that the playbooks should be triggered by Jobs or CronJobs stored in Git and delivered by {rh-gitops-short}. +. Managed clusters should use the `pull` deployment model for obtaining their configuration. +. Imperative elements should be implemented as Ansible playbooks. +. Imperative elements should be driven declaratively implying that the playbooks should be triggered by Jobs or CronJobs stored in Git and delivered by {rh-gitops-short}. [id="can-implementation-requirements"] === Can diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index 28ae6aa57..c421796ec 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -16,55 +16,60 @@ include::modules/comm-attributes.adoc[] [id="about-maintained-tier"] = About the {maintained-tier-first} -The {maintained} tier is intended to provide consumers with additional "sales" collateral and reassurance that the pattern was known to be functional on all currently supported LTS versions of OpenShift. Inclusion in this tier may require additional work for the pattern's owner - which might be a partner or sufficiently motivated SME. +A pattern categorized under the {maintained} tier implies that the pattern was known to be functional on all currently supported extended update support (EUS) versions of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner who might be a partner or a sufficiently motivated subject matter expert (SME). [id="nominating-a-community-pattern-to-become-validated"] == Nominating a maintained pattern for promotion to a validated pattern -If there is a maintained pattern that you believe would be a good candidate for promotion to validated pattern, you can make that case by mailing mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. - -Please be aware that each Maintained pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all {solution-name-upstream}. +If your {maintained} pattern qualifies or meets the criteria for promotion to a {validated} pattern, submit your nomination to mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. +[NOTE] +==== +Each {maintained} pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is not possible for the team to take on this responsibility for all {solution-name-upstream}. +==== +//NOte sure about the following bits - needs discussion For this reason we have designed the tiers and our processes to facilitate this to occur outside of the team by any sufficiently motivated party, including other parts of Red Hat, partners, and even customers. -In limited cases, the {solution-name-upstream} team may consider taking on that work, however please get in contact at least 4 weeks prior to the end of a given quarter in order for the necessary work to be considered as part of the following quarter's planning process +In limited cases, the {solution-name-upstream} team may consider taking on that work, however, it is recommended that you contact the team at least 4 weeks prior to the end of a given quarter for the necessary work to be considered as part of the following quarter's planning process. [id="requirements-maintained-tier"] == Requirements -{solution-name-upstream} have deliverable and requirements *in addition* to those -specified for the link:/requirements/tested/[Tested tier] +The {maintained} patterns have deliverable and requirements in addition to those +specified for the link:/requirements/tested/[Tested tier]. [id="must-maintained-tier"] === Must A {maintained} pattern must continue to meet the following criteria to remain in {maintained} tier: -* A {maintained} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] -. {maintained} pattern must only make use of components that are either supported, or easily substitued for supportable equivalents (eg. HashiCorp vault which has community and enterprise variants) -* A {maintained} pattern must *not* rely on functionality in tech-preview, or hidden behind feature gates -* A {maintained} pattern must have their architectures reviewed by the PM, TPM, or TMM of each Red Hat product they consume to ensure consistency with the product teams` intentions and roadmaps -* A {maintained} pattern must include a presentation deck oriented around the business problem being solved and intended for use by the field to sell and promote the solution -* A {maintained} pattern must include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week -* A {maintained} pattern must be tested on all currently supported OpenShift LTS releases -* A {maintained} pattern must fix breakage in timely manner -* A {maintained} pattern must document their support policy +* A {maintained} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements]. +. A {maintained} pattern must only make use of components that are either supported, or easily substituted for supportable equivalents, for example, HashiCorp vault which has community and enterprise variants. +* A {maintained} pattern must *not* rely on functionality in tech-preview, or hidden behind feature gates. +* A {maintained} pattern must have their architectures reviewed by the Product Manager (PM), Technical Product Manager (TPM), or Technical Marketing Manager (TMM) of each {redhat} product they consume to ensure consistency with the product teams` intentions and roadmaps. +* A {maintained} pattern must include a presentation slides oriented around the business problem being solved and intended for use by the field to sell and promote the solution. +* A {maintained} pattern must include test plan automation that runs on every change to the pattern, or a schedule no less frequently than once per week. +* A {maintained} pattern must be tested on all currently supported {rh-ocp} extended update support (EUS) releases. +* A {maintained} pattern must fix breakage in timely manner. +* A {maintained} pattern must document their support policy. + -The individual products used in a Validated Pattern are backed by the full Red Hat support experience conditional on the customer's subscription to those products, and the individual products`s support policy. +//Needs review by legal? +The individual products used in a {solution-name-upstream} are backed by the full {redhat} support experience conditional on the customer's subscription to those products, and the individual products`s support policy. + -Additional components in a Validated Pattern that are not supported by Red Hat (e.g. Hashicorp Vault, and Seldon Core) will require a customer to obtain support from that vendor directly. +Additional components in a {solution-name-upstream} that are not supported by {redhat}; for example, Hashicorp Vault, and Seldon Core, require a customer to obtain support from that vendor directly. + -The {solution-name-upstream} team is very motivated to address any problems in the VP Operator, as well as problems in the common helm charts, but cannot not offer any SLAs at this time. +//very motivated? will we or won't we? +The {solution-name-upstream} team is will try to address any problems in the {validated-patterns-op}, and in the common Helm charts, but cannot not offer any SLAs at this time. + //TODO: Create an aDoc version of our support statement slide [NOTE] ==== -The {maintained} patterns *do not* imply an obligation of support for partner or community operators by Red Hat. +The {maintained} patterns *do not* imply an obligation of support for partner or community Operators by {redhat}. ==== [id="can-maintained-tier"] === Can -. Teams creating {solution-name-upstream} can provide their own SLA +. If you are creating {solution-name-upstream}, you can provide your own SLA. diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index 32145a399..9a55fa99d 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -16,50 +16,51 @@ include::modules/comm-attributes.adoc[] [id="about-sandbox-tier"] = About the {sandbox-tier-first} -The {sandbox} tier is an inclusive and low-risk way to become associated with the {solution-name-upstream} project. The minimum requirement to qualify for the {sandbox} tier is that you must start with the patterns framework and include some minimal documentation. +A pattern categorized under the {sandbox} tier provides you with an entry point to onboard to the {solution-name-upstream}. The minimum requirement to qualify for the {sandbox} tier is that you must start with the patterns framework and include minimal documentation. [id="onboarding-existing-implementations"] == Onboarding existing implementations //TODO: A short note on the value of converting existing implementations -The {solution-name-upstream} team has a preference for empowering others, and not -taking credit for their work. +The {solution-name-upstream} team has a preference for empowering others, and not taking credit for their work. -Where there is an existing application/demo, there is also a strong preference for the originating team to own any changes that are needed for the implementation to become a validated pattern. Alternatively, if the {solution-name-upstream} team drives the conversion, then in order to prevent confusion and duplicated efforts, we are likely to ask for a commitment to phase out use of the previous implementation for future engagements such as demos, presentations, and workshops. +Where there is an existing application or a demonstration, there is also a strong preference for the originating team to own any changes that are needed for the implementation to become a {validated} pattern. Alternatively, if the {solution-name-upstream} team drives the conversion, then to prevent confusion and duplicated efforts, we are likely to ask for a commitment to phase out use of the previous implementation for future engagements such as demos, presentations, and workshops. The goal is to avoid bringing a parallel implementation into existence which divides engineering resources, and creates confusion internally and with customers as the implementations drift apart. In both scenarios the originating team can choose where to host the primary repository, will be given admin permissions to any fork in link:https://github.com/validatedpatterns[https://github.com/validatedpatterns], and will receive on-going assistance from the {solution-name-upstream} team. [id="requirements-sandbox-tier"] -== Requirements - -General requirements for all {solution-name-upstream} +== Requirements for the {sandbox} tier +// should this be sandbox tier? +Consider these requirements for all {sandbox} tier. [id="must-sandbox-tier"] === Must A {sandbox} pattern must continue to meet the following criteria to remain in the {sandbox} tier: -* A {sandbox} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] -* A {sandbox} pattern must be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning -* A {sandbox} pattern must include a top-level README highlighting the business problem and how the pattern solves it -* A {sandbox} pattern must include an architecture drawing. The specific tool/format is flexible as long as the meaning is clear. -* A {sandbox} pattern must undergo an informal technical review by a community leader to ensure that it meets basic reuse standards +* A {sandbox} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements]. +* A {sandbox} pattern must be able to be deployed onto a freshly deployed OpenShift cluster without prior modification or tuning. +* A {sandbox} pattern must include a top-level README file that highlights the business problem and how the pattern solves it. +* A {sandbox} pattern must include an architecture drawing. The specific tool or format is flexible as long as the meaning is clear. +* A {sandbox} pattern must undergo an informal technical review by a community leader to ensure that it meets basic reuse standards. * A {sandbox} pattern must undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. + -For example: not using a database as a message bus. -As community leaders, contributions from within Red Hat may be subject to a higher level of scrutiny. +For example, not using a database as a message bus. +As community leaders, contributions from within {redhat} might be subject to a higher level of scrutiny. While we strive to be inclusive, the community will have quality standards and generally using the framework does not automatically imply a solution is suitable for the community to endorse/publish. -* A {sandbox} pattern must document their support policy -+ -It is anticipated that most{sandbox} pattern will be supported by the community on a best-effort basis, but this should be stated explicitly. -The {solution-name-upstream} team commits to maintaining the framework but will also accept help. +* A {sandbox} pattern must document their support policy. +[NOTE] +==== +It is anticipated that most {sandbox} pattern will be supported by the community on a best-effort basis, but this should be stated explicitly. +The {solution-name-upstream} team commits to maintaining the framework, but will also accept help. +==== [id="can-sandbox-tier"] === Can * A {sandbox} pattern (including works-in-progress) can be hosted in the link:https://github.com/validatedpatterns-sandbox[https://github.com/validatedpatterns-sandbox] GitHub organization -* A {sandbox} pattern CAN be listed on the link:https://validatedpatterns.io[https://validatedpatterns.io] site -* A {sandbox} pattern meeting additional criteria can be nominated for promotion to the link:/learn/tested/[Tested tier] +* A {sandbox} pattern can be listed on the link:https://validatedpatterns.io[https://validatedpatterns.io] site. +* A {sandbox} pattern meeting additional criteria can be nominated for promotion to the link:/learn/tested/[Tested tier]. diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index bb37acac8..2f6409124 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -20,11 +20,11 @@ The {tested} tier provides you with additional collateral and reassurance that t [id="nominating-a-community-pattern-to-become-maintained"] == Nominating a tested pattern for promotion to a maintained pattern -If there is a Tested pattern that you believe would be a good candidate for promotion to Maintained, you can make that case by mailing mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. +If your {tested} pattern qualifies or meets the criteria for promotion to a {validated} pattern, submit your nomination to mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. -[IMPORTANT] +[NOTE] ==== -each Tested pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is simply not possible for the team to take on this responsibility for all {solution-name-upstream}. +Each {tested} pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is not possible for the team to take on this responsibility for all {solution-name-upstream}. ==== For this reason we have designed the tiers and our processes to facilitate this to occur outside of the team by any sufficiently motivated party, including other parts of Red Hat, partners, and even customers. @@ -35,20 +35,21 @@ In limited cases, the {solution-name-upstream} team may consider taking on that [id="requirements-tested-tier"] == Requirements -{tested} pattern have deliverable and requirements *in addition* to those -specified for the link:/requirements/sandbox/[Sandbox tier] +A {tested} patterns have deliverable and requirements in addition to those specified for the link:/requirements/sandbox/[Sandbox tier]. [id="must-tested-tier"] === Must -* A {tested} pattern must continue to meet the following criteria to remain in the {tested} tier +A {tested} pattern must continue to meet the following criteria to remain in the {tested} tier: + * A {tested} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] * A {tested} pattern must be meaningful without specialized hardware, including flavors of architectures not explicitly supported. + Qualification is a {solution-name-upstream} TOC decision with input from the pattern owner. - +//AI: What's TOC? * A {tested} pattern must have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. * A {tested} pattern must include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling +//AI: What's PAC * A {tested} pattern must include a written guide for others to follow when demonstrating the pattern * A {tested} pattern must include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. + @@ -57,9 +58,9 @@ Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlT + //TODO: Convert above link to adoc -* A {tested} pattern must nominate at least one currently supported OpenShift release to test against -* A {tested} pattern must ensure the test plan passes at least once per quarter -* A {tested} pattern must create a publically available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and OpenShift version. See link:/learn/test-artefacts/[testing artefacts] +* A {tested} pattern must nominate at least one currently supported {rh-ocp} release to test against. +* A {tested} pattern must ensure the test plan passes at least once per quarter. +* A {tested} pattern must create a publicly available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and {rh-ocp} version. See link:/learn/test-artefacts/[testing artefacts] [NOTE] ==== @@ -77,7 +78,7 @@ The {tested} pattern *do not* imply an obligation of support for partner or comm Teams creating {tested} pattern can provide their own service level agreement (SLA). -A document for QE that defines, at a technical level, how to validate if the pattern has been successfully deployed and is functionally operational. -Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] +A technical document for Quality Engineering (QE) team that defines how to validate if the pattern has been successfully deployed and is functionally operational. +For example, see https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment]. -* A {tested} pattern meeting additional criteria CAN be nominated for promotion to the link:/learn/maintained/[Maintained tier] +* A {tested} pattern meeting additional criteria can be nominated for promotion to the link:/learn/maintained/[Maintained tier]. diff --git a/modules/comm-attributes.adoc b/modules/comm-attributes.adoc index 95cd9098c..25cf5acbe 100644 --- a/modules/comm-attributes.adoc +++ b/modules/comm-attributes.adoc @@ -13,6 +13,7 @@ :sandbox: sandbox :maintained: maintained :tested: tested +:validated: validated :sandbox-tier-first: Validated Patterns Sandbox tier :tested-tier-first: Validated Patterns Tested tier :maintained-tier-first: Validated Patterns Maintained tier From b39d9845a31f3ba9c8dbcbeb9d56079fac3a00b7 Mon Sep 17 00:00:00 2001 From: Avani Bhatt Date: Mon, 6 Nov 2023 18:34:29 +0000 Subject: [PATCH 14/15] Some changes based on the discussion with SME and CS --- content/learn/about-pattern-tiers-types.adoc | 8 ++++---- content/learn/implementation.adoc | 12 ++++++------ content/learn/maintained.adoc | 14 +++++++------- content/learn/sandbox.adoc | 5 ++--- content/learn/tested.adoc | 12 +++++------- 5 files changed, 24 insertions(+), 27 deletions(-) diff --git a/content/learn/about-pattern-tiers-types.adoc b/content/learn/about-pattern-tiers-types.adoc index 3f66926f1..3ad0bded2 100644 --- a/content/learn/about-pattern-tiers-types.adoc +++ b/content/learn/about-pattern-tiers-types.adoc @@ -12,8 +12,8 @@ aliases: /learn/about-pattern-tiers-types :_content-type: ASSEMBLY include::modules/comm-attributes.adoc[] -[id="pattern-type"] -== About the {solution-name-upstream} tiers +[id="pattern-tiers"] +== {solution-name-upstream} tiers The different tiers of {solution-name-upstream} are designed to facilitate ongoing maintenance, support, and testing effort for a pattern. To contribute to a pattern that suits your solution or to learn about onboarding your own pattern, understand the following pattern tiers. @@ -27,8 +27,8 @@ The patterns in this tier might be in a work-in-progress state; and they might h |link:/requirements/tested/[{tested-tier-first}] -|A pattern categorized under the {tested} tier implies that the pattern might have been recently working on at least one recent version of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner, who might be a partner or a motivated subject matter expert (SME). -//Additional work such as? +|A pattern categorized under the {tested} tier implies that the pattern might have been recently working on at least one recent version of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner, who might be a partner or a motivated subject matter expert (SME). + The patterns in this tier might have a defined business problem with a demonstration. The patterns might have a manual or automated test plan, which passes at least once for each new {rh-ocp} minor version. |link:/requirements/maintained/[{maintained-tier-first}] diff --git a/content/learn/implementation.adoc b/content/learn/implementation.adoc index 2c2a88ba9..994a22590 100644 --- a/content/learn/implementation.adoc +++ b/content/learn/implementation.adoc @@ -33,12 +33,12 @@ These are optional or desirable features, but their absence does not hinder the . Patterns must be useful without all content stored in private Git repositories. . Patterns must include a list of names and versions of all the products and projects that the pattern consumes. . Patterns must be useful without any sample applications that are private or that lack public sources. -//AI:why application was styled that way -Patterns must *not* become useless due to bit rot or opaque incompatibilities in closed source applications. + +. Patterns must *not* become useless due to bit rot or opaque incompatibilities in closed source applications. . Patterns must *not* store sensitive data elements, including but not limited to, passwords in Git repositories. . Patterns must be possible to deploy on any installer-provisioned infrastructure OpenShift cluster (BYO). -//AI:why Patterns and Managed clusters is styled that way -We distinguish between the provisioning and configuration requirements of the initial cluster (`Patterns`) and of clusters or machines that are managed by the initial cluster (see `Managed clusters`). ++ +We distinguish between the provisioning and configuration requirements of the initial cluster (`Patterns`) and of clusters or machines that are managed by the initial cluster (`Managed clusters`). . Patterns must use a standardized https://github.com/validatedpatterns/common/tree/main/clustergroup[clustergroup] Helm chart as the initial {rh-gitops} application that describes all namespaces, subscriptions, and any other GitOps applications which contain the configuration elements that make up the solution. . Managed clusters must operate on the premise of `eventual consistency` (automatic retries, and an expectation of idempotence), which is one of the essential benefits of the GitOps model. . Imperative elements must be implemented as idempotent code stored in Git repository. @@ -78,6 +78,6 @@ For example, Bucket Notification is a capability in the {med-pattern} that could . Patterns can consume Operators from established partners (for example, Hashicorp Vault, and Seldon) . Patterns can include managed clusters. . Patterns can include details or automation for provisioning managed clusters, or rely on the admin to pre-provision them out-of-band. -//AI:why initial hub clusters was styled that way. -. Patterns can also choose to model multi-cluster solutions as an uncoordinated collection of `initial hub clusters` + +. Patterns can also choose to model multi-cluster solutions as an uncoordinated collection of initial hub clusters. . Imperative elements can interact with cluster state or external influences. \ No newline at end of file diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index c421796ec..96284113b 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -18,23 +18,23 @@ include::modules/comm-attributes.adoc[] A pattern categorized under the {maintained} tier implies that the pattern was known to be functional on all currently supported extended update support (EUS) versions of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner who might be a partner or a sufficiently motivated subject matter expert (SME). -[id="nominating-a-community-pattern-to-become-validated"] -== Nominating a maintained pattern for promotion to a validated pattern +[id="nominating-a-pattern-for-maintained-tier"] +== Nominating a pattern for the {maintained} tier -If your {maintained} pattern qualifies or meets the criteria for promotion to a {validated} pattern, submit your nomination to mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. +If your pattern qualifies or meets the criteria for {maintained} tier, submit your nomination to mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. [NOTE] ==== Each {maintained} pattern represents an ongoing maintenance, support, and testing effort. Finite team capacity means that it is not possible for the team to take on this responsibility for all {solution-name-upstream}. ==== -//NOte sure about the following bits - needs discussion + For this reason we have designed the tiers and our processes to facilitate this to occur outside of the team by any sufficiently motivated party, including other parts of Red Hat, partners, and even customers. In limited cases, the {solution-name-upstream} team may consider taking on that work, however, it is recommended that you contact the team at least 4 weeks prior to the end of a given quarter for the necessary work to be considered as part of the following quarter's planning process. [id="requirements-maintained-tier"] -== Requirements +== Requirements for the {maintained} tier The {maintained} patterns have deliverable and requirements in addition to those specified for the link:/requirements/tested/[Tested tier]. @@ -54,12 +54,12 @@ A {maintained} pattern must continue to meet the following criteria to remain in * A {maintained} pattern must fix breakage in timely manner. * A {maintained} pattern must document their support policy. + -//Needs review by legal? + The individual products used in a {solution-name-upstream} are backed by the full {redhat} support experience conditional on the customer's subscription to those products, and the individual products`s support policy. + Additional components in a {solution-name-upstream} that are not supported by {redhat}; for example, Hashicorp Vault, and Seldon Core, require a customer to obtain support from that vendor directly. + -//very motivated? will we or won't we? + The {solution-name-upstream} team is will try to address any problems in the {validated-patterns-op}, and in the common Helm charts, but cannot not offer any SLAs at this time. + //TODO: Create an aDoc version of our support statement slide diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index 9a55fa99d..cbe206bc1 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -18,8 +18,8 @@ include::modules/comm-attributes.adoc[] A pattern categorized under the {sandbox} tier provides you with an entry point to onboard to the {solution-name-upstream}. The minimum requirement to qualify for the {sandbox} tier is that you must start with the patterns framework and include minimal documentation. -[id="onboarding-existing-implementations"] -== Onboarding existing implementations +[id="nominating-a-pattern-for-sandbox-tier"] +== Nominating a pattern for the {sandbox} tier //TODO: A short note on the value of converting existing implementations @@ -33,7 +33,6 @@ In both scenarios the originating team can choose where to host the primary repo [id="requirements-sandbox-tier"] == Requirements for the {sandbox} tier -// should this be sandbox tier? Consider these requirements for all {sandbox} tier. [id="must-sandbox-tier"] diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index 2f6409124..2df1a4c69 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -17,10 +17,10 @@ include::modules/comm-attributes.adoc[] The {tested} tier provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or a sufficiently motivated subject matter expert (SME). -[id="nominating-a-community-pattern-to-become-maintained"] -== Nominating a tested pattern for promotion to a maintained pattern +[id="nominating-a-pattern-for-tested-tier"] +== Nominating a a pattern for the {tested} tier -If your {tested} pattern qualifies or meets the criteria for promotion to a {validated} pattern, submit your nomination to mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. +If your pattern qualifies or meets the criteria for {tested} tier, submit your nomination to mailto:validatedpatterns@googlegroups.com[validatedpatterns@googlegroups.com]. [NOTE] ==== @@ -45,11 +45,9 @@ A {tested} pattern must continue to meet the following criteria to remain in the * A {tested} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] * A {tested} pattern must be meaningful without specialized hardware, including flavors of architectures not explicitly supported. + -Qualification is a {solution-name-upstream} TOC decision with input from the pattern owner. -//AI: What's TOC? +Qualification is a {solution-name-upstream} Technical Oversight Committee (TOC) decision with input from the pattern owner. * A {tested} pattern must have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. -* A {tested} pattern must include a standardized architecture drawing, created with (or at least conforming to) the PAC tooling -//AI: What's PAC +* A {tested} pattern must include a standardized architecture drawing, created with (or at least conforming to) the standard {solution-name-upstream} tooling * A {tested} pattern must include a written guide for others to follow when demonstrating the pattern * A {tested} pattern must include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. + From ebd92a7aafeb4e9fa6cb25cf6804771aabd56fd0 Mon Sep 17 00:00:00 2001 From: Avani Bhatt Date: Mon, 20 Nov 2023 14:05:36 +0000 Subject: [PATCH 15/15] Addressed Dan's feedback --- content/learn/about-pattern-tiers-types.adoc | 7 ++--- content/learn/implementation.adoc | 18 +++++------- content/learn/maintained.adoc | 16 ++++++++--- content/learn/sandbox.adoc | 17 ++++++++---- content/learn/tested.adoc | 29 +++++++++++++------- 5 files changed, 53 insertions(+), 34 deletions(-) diff --git a/content/learn/about-pattern-tiers-types.adoc b/content/learn/about-pattern-tiers-types.adoc index 3ad0bded2..acf8014a6 100644 --- a/content/learn/about-pattern-tiers-types.adoc +++ b/content/learn/about-pattern-tiers-types.adoc @@ -4,7 +4,6 @@ menu: parent: Workflow title: Validated Pattern tiers weight: 41 -aliases: /learn/about-pattern-tiers-types --- :toc: @@ -21,7 +20,7 @@ The different tiers of {solution-name-upstream} are designed to facilitate ongoi |Pattern tier|Description |link:/requirements/sandbox/[{sandbox-tier-first}] -|A pattern categorized under the {sandbox} tier provides you with an entry point to onboard to {solution-name-upstream}. The minimum requirement to qualify for the {sandbox} tier is to start with the patterns framework and include minimal documentation. +|A pattern categorized under the {sandbox} tier provides you with an entry point to onboard to {solution-name-upstream}. The minimum requirement to qualify for the {sandbox} tier is to start with the patterns framework and include minimal documentation. The patterns in this tier might be in a work-in-progress state; and they might have been manually tested on a limited set of platforms. @@ -29,10 +28,10 @@ The patterns in this tier might be in a work-in-progress state; and they might h |link:/requirements/tested/[{tested-tier-first}] |A pattern categorized under the {tested} tier implies that the pattern might have been recently working on at least one recent version of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner, who might be a partner or a motivated subject matter expert (SME). -The patterns in this tier might have a defined business problem with a demonstration. The patterns might have a manual or automated test plan, which passes at least once for each new {rh-ocp} minor version. +The patterns in this tier might have a defined business problem with a demonstration. The patterns might have a manual or automated test plan, which passes at least once for each new {rh-ocp} minor version. |link:/requirements/maintained/[{maintained-tier-first}] -|A pattern categorized under the {maintained} tier implies that the pattern might have been functional on all currently supported extended update support (EUS) versions of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner who might be a partner or a motivated SME. +|A pattern categorized under the {maintained} tier implies that the pattern might have been functional on all currently supported extended update support (EUS) versions of {rh-ocp}. Qualifying for this tier might require additional work for the pattern’s owner who might be a partner or a motivated SME. The patterns in this tier might have a formal release process with patch releases. They might have continuous integration (CI) automation testing. diff --git a/content/learn/implementation.adoc b/content/learn/implementation.adoc index 994a22590..3f0e3fe83 100644 --- a/content/learn/implementation.adoc +++ b/content/learn/implementation.adoc @@ -15,16 +15,16 @@ include::modules/comm-attributes.adoc[] [id="technical-requirements"] == Technical requirements -Consider these requirements specific to the implementation of all {solution-name-upstream} and their respective tiers. +Consider these requirements specific to the implementation of all {solution-name-upstream} and their tiers. The requirements are categorized as follows: Must:: -These are non-negotiable, core requirements that must be implemented. +These are nonnegotiable, core requirements that must be implemented. Should:: These are important but not critical; their implementation enhances the pattern. Can:: -These are optional or desirable features, but their absence does not hinder the implementation of a pattern. +These are optional or desirable features, but their absence does not hinder the implementation of a pattern. [id="must-implementation-requirements"] === Must @@ -33,12 +33,11 @@ These are optional or desirable features, but their absence does not hinder the . Patterns must be useful without all content stored in private Git repositories. . Patterns must include a list of names and versions of all the products and projects that the pattern consumes. . Patterns must be useful without any sample applications that are private or that lack public sources. - -. Patterns must *not* become useless due to bit rot or opaque incompatibilities in closed source applications. -. Patterns must *not* store sensitive data elements, including but not limited to, passwords in Git repositories. +. Patterns must *not* degrade due to lack of updates or opaque incompatibilities in closed source applications. +. Patterns must *not* store sensitive data elements including, but not limited to, passwords in Git repositories. . Patterns must be possible to deploy on any installer-provisioned infrastructure OpenShift cluster (BYO). + -We distinguish between the provisioning and configuration requirements of the initial cluster (`Patterns`) and of clusters or machines that are managed by the initial cluster (`Managed clusters`). +{solution-name-upstream} distinguish between the provisioning and configuration requirements of the initial cluster (`Patterns`) and of clusters or machines that are managed by the initial cluster (`Managed clusters`). . Patterns must use a standardized https://github.com/validatedpatterns/common/tree/main/clustergroup[clustergroup] Helm chart as the initial {rh-gitops} application that describes all namespaces, subscriptions, and any other GitOps applications which contain the configuration elements that make up the solution. . Managed clusters must operate on the premise of `eventual consistency` (automatic retries, and an expectation of idempotence), which is one of the essential benefits of the GitOps model. . Imperative elements must be implemented as idempotent code stored in Git repository. @@ -52,15 +51,13 @@ We distinguish between the provisioning and configuration requirements of the in . Patterns should embody the link:https://www.redhat.com/en/products/open-hybrid-cloud[Open Hybrid Cloud model] unless there is a compelling reason to limit the availability of functionality to a specific platform or topology. . Patterns should use industry standards and {redhat} products for all required tooling. + -Patterns prefer current best practices at the time of pattern development. Solutions that do not conform to best practices should expect to justify non-conformance or expend engineering effort to conform. +Patterns require current best practices at the time of pattern development. Solutions that do not conform to best practices should expect to justify non-conformance or expend engineering effort to conform. . Patterns should *not* make use of upstream or community Operators and images except, depending on the market segment, where it is critical to the overall solution. + Such Operators are forbidden to be deployed into an increasing number of customer environments, which limits the pattern reuse. Alternatively, consider to productize the Operator, and build it in-cluster from trusted sources as part of the pattern. - . Patterns should be decomposed into modules that perform a specific function, so that they can be reused in other patterns. + For example, Bucket Notification is a capability in the {med-pattern} that could be used for other solutions. - . Patterns should use {rh-ansible} to drive the declarative provisioning and management of managed hosts, for example, {rhel-first}. See also `Imperative elements`. . Patterns should use {rh-rhacm-first} to manage policy and compliance on any managed clusters. . Patterns should use {rh-rhacm} and a https://github.com/validatedpatterns/common/tree/main/acm[standardized RHACM chart] to deploy and configure {rh-gitops-short} to managed clusters. @@ -78,6 +75,5 @@ For example, Bucket Notification is a capability in the {med-pattern} that could . Patterns can consume Operators from established partners (for example, Hashicorp Vault, and Seldon) . Patterns can include managed clusters. . Patterns can include details or automation for provisioning managed clusters, or rely on the admin to pre-provision them out-of-band. - . Patterns can also choose to model multi-cluster solutions as an uncoordinated collection of initial hub clusters. . Imperative elements can interact with cluster state or external influences. \ No newline at end of file diff --git a/content/learn/maintained.adoc b/content/learn/maintained.adoc index 96284113b..c945a8d31 100644 --- a/content/learn/maintained.adoc +++ b/content/learn/maintained.adoc @@ -39,13 +39,22 @@ In limited cases, the {solution-name-upstream} team may consider taking on that The {maintained} patterns have deliverable and requirements in addition to those specified for the link:/requirements/tested/[Tested tier]. +The requirements are categorized as follows: + +Must:: +These are nonnegotiable, core requirements that must be implemented. +Should:: +These are important but not critical; their implementation enhances the pattern. +Can:: +These are optional or desirable features, but their absence does not hinder the implementation of a pattern. + [id="must-maintained-tier"] === Must A {maintained} pattern must continue to meet the following criteria to remain in {maintained} tier: * A {maintained} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements]. -. A {maintained} pattern must only make use of components that are either supported, or easily substituted for supportable equivalents, for example, HashiCorp vault which has community and enterprise variants. +* A {maintained} pattern must only make use of components that are either supported, or easily substituted for supportable equivalents, for example, HashiCorp vault which has community and enterprise variants. * A {maintained} pattern must *not* rely on functionality in tech-preview, or hidden behind feature gates. * A {maintained} pattern must have their architectures reviewed by the Product Manager (PM), Technical Product Manager (TPM), or Technical Marketing Manager (TMM) of each {redhat} product they consume to ensure consistency with the product teams` intentions and roadmaps. * A {maintained} pattern must include a presentation slides oriented around the business problem being solved and intended for use by the field to sell and promote the solution. @@ -58,10 +67,9 @@ A {maintained} pattern must continue to meet the following criteria to remain in The individual products used in a {solution-name-upstream} are backed by the full {redhat} support experience conditional on the customer's subscription to those products, and the individual products`s support policy. + Additional components in a {solution-name-upstream} that are not supported by {redhat}; for example, Hashicorp Vault, and Seldon Core, require a customer to obtain support from that vendor directly. -+ The {solution-name-upstream} team is will try to address any problems in the {validated-patterns-op}, and in the common Helm charts, but cannot not offer any SLAs at this time. -+ + //TODO: Create an aDoc version of our support statement slide [NOTE] @@ -72,4 +80,4 @@ The {maintained} patterns *do not* imply an obligation of support for partner or [id="can-maintained-tier"] === Can -. If you are creating {solution-name-upstream}, you can provide your own SLA. +* If you are creating {solution-name-upstream}, you can provide your own SLA. diff --git a/content/learn/sandbox.adoc b/content/learn/sandbox.adoc index cbe206bc1..2d49b8708 100644 --- a/content/learn/sandbox.adoc +++ b/content/learn/sandbox.adoc @@ -35,6 +35,15 @@ In both scenarios the originating team can choose where to host the primary repo == Requirements for the {sandbox} tier Consider these requirements for all {sandbox} tier. +The requirements are categorized as follows: + +Must:: +These are nonnegotiable, core requirements that must be implemented. +Should:: +These are important but not critical; their implementation enhances the pattern. +Can:: +These are optional or desirable features, but their absence does not hinder the implementation of a pattern. + [id="must-sandbox-tier"] === Must A {sandbox} pattern must continue to meet the following criteria to remain in the {sandbox} tier: @@ -44,11 +53,9 @@ A {sandbox} pattern must continue to meet the following criteria to remain in th * A {sandbox} pattern must include a top-level README file that highlights the business problem and how the pattern solves it. * A {sandbox} pattern must include an architecture drawing. The specific tool or format is flexible as long as the meaning is clear. * A {sandbox} pattern must undergo an informal technical review by a community leader to ensure that it meets basic reuse standards. -* A {sandbox} pattern must undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. +* A {sandbox} pattern must undergo an informal architecture review by a community leader to ensure that the solution has the right components, and they are generally being used as intended. For example, not using a database as a message bus. + -For example, not using a database as a message bus. -As community leaders, contributions from within {redhat} might be subject to a higher level of scrutiny. -While we strive to be inclusive, the community will have quality standards and generally using the framework does not automatically imply a solution is suitable for the community to endorse/publish. +As community leaders, contributions from within {redhat} might be subject to a higher level of scrutiny. While we strive to be inclusive, the community will have quality standards and generally using the framework does not automatically imply a solution is suitable for the community to endorse/publish. * A {sandbox} pattern must document their support policy. [NOTE] @@ -60,6 +67,6 @@ The {solution-name-upstream} team commits to maintaining the framework, but will [id="can-sandbox-tier"] === Can -* A {sandbox} pattern (including works-in-progress) can be hosted in the link:https://github.com/validatedpatterns-sandbox[https://github.com/validatedpatterns-sandbox] GitHub organization +* A {sandbox} pattern (including works-in-progress) can be hosted in the link:https://github.com/validatedpatterns-sandbox[https://github.com/validatedpatterns-sandbox] GitHub organization. * A {sandbox} pattern can be listed on the link:https://validatedpatterns.io[https://validatedpatterns.io] site. * A {sandbox} pattern meeting additional criteria can be nominated for promotion to the link:/learn/tested/[Tested tier]. diff --git a/content/learn/tested.adoc b/content/learn/tested.adoc index 2df1a4c69..20aa49782 100644 --- a/content/learn/tested.adoc +++ b/content/learn/tested.adoc @@ -15,7 +15,7 @@ include::modules/comm-attributes.adoc[] [id="about-tested-tier"] = About the {tested-tier-first} -The {tested} tier provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern's owner - which might be a partner or a sufficiently motivated subject matter expert (SME). +The {tested} tier provides you with additional collateral and reassurance that the pattern was known to be recently working on at least one recent version of {rh-ocp}. Inclusion in this tier requires some additional work for the pattern's owner, which might be a partner or a sufficiently motivated subject matter expert (SME). [id="nominating-a-pattern-for-tested-tier"] == Nominating a a pattern for the {tested} tier @@ -33,36 +33,45 @@ In limited cases, the {solution-name-upstream} team may consider taking on that [id="requirements-tested-tier"] -== Requirements +== Requirements for the {tested} tier A {tested} patterns have deliverable and requirements in addition to those specified for the link:/requirements/sandbox/[Sandbox tier]. +The requirements are categorized as follows: + +Must:: +These are nonnegotiable, core requirements that must be implemented. +Should:: +These are important but not critical; their implementation enhances the pattern. +Can:: +These are optional or desirable features, but their absence does not hinder the implementation of a pattern. + [id="must-tested-tier"] === Must A {tested} pattern must continue to meet the following criteria to remain in the {tested} tier: -* A {tested} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements] +* A {tested} pattern must conform to the common technical link:/requirements/implementation/[implementation requirements]. * A {tested} pattern must be meaningful without specialized hardware, including flavors of architectures not explicitly supported. + Qualification is a {solution-name-upstream} Technical Oversight Committee (TOC) decision with input from the pattern owner. * A {tested} pattern must have their implementation reviewed by the patterns team to ensure that it is sufficiently flexible to function across a variety of platforms, customer environments, and any relevant verticals. -* A {tested} pattern must include a standardized architecture drawing, created with (or at least conforming to) the standard {solution-name-upstream} tooling -* A {tested} pattern must include a written guide for others to follow when demonstrating the pattern +* A {tested} pattern must include a standardized architecture drawing, created with (or at least conforming to) the standard {solution-name-upstream} tooling. +* A {tested} pattern must include a written guide for others to follow when demonstrating the pattern. * A {tested} pattern must include a test plan covering all features or attributes being highlighted by the demonstration guide. Negative flow tests (such as resiliency or data retention in the presence of network outages) are also limited to scenarios covered by the demonstration guide. + The test plan must define how to validate if the pattern has been successfully deployed and is functionally operational. -Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment] -+ +Example: https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment]. + //TODO: Convert above link to adoc * A {tested} pattern must nominate at least one currently supported {rh-ocp} release to test against. * A {tested} pattern must ensure the test plan passes at least once per quarter. -* A {tested} pattern must create a publicly available JSON file (eg. in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and {rh-ocp} version. See link:/learn/test-artefacts/[testing artefacts] +* A {tested} pattern must create a publicly available JSON file (for example, in an AWS bucket) that records the result of the latest test for each combination of pattern, platform, and {rh-ocp} version. See link:/learn/test-artefacts/[testing artefacts]. [NOTE] ==== -The {tested} pattern *do not* imply an obligation of support for partner or community operators by Red Hat or the pattern owner. +A {tested} pattern *does not* imply an obligation of support for partner or community operators by Red Hat or the pattern owner. ==== [id="should-tested-tier"] @@ -79,4 +88,4 @@ Teams creating {tested} pattern can provide their own service level agreement (S A technical document for Quality Engineering (QE) team that defines how to validate if the pattern has been successfully deployed and is functionally operational. For example, see https://docs.google.com/document/d/12KQhdzjVIsxRURTnWAckiEMB3_96oWBjtlTXi1q73cg/view[Validating an Industrial Edge Deployment]. -* A {tested} pattern meeting additional criteria can be nominated for promotion to the link:/learn/maintained/[Maintained tier]. +A {tested} pattern meeting additional criteria can be nominated for promotion to the link:/learn/maintained/[Maintained tier].