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docs: update KLT intro page (#1495)
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Signed-off-by: Pragati Saikia <92122197+pragatisaikia@users.noreply.github.com>
Signed-off-by: pragatisaikia <pragatisaikia2003@gmail.com>
Co-authored-by: Rakshit Gondwal <98955085+rakshitgondwal@users.noreply.github.com>
Co-authored-by: Meg McRoberts <DreidelLhasa@yahoo.com>
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3 people committed Jun 15, 2023
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Expand Up @@ -59,7 +59,51 @@ It supports the following steps:
* Post-Deployment Evaluations: e.g. evaluate the deployment,
evaluate the test results, etc.

All of these things can be executed for a workload or for a KeptnApp.
All of these things can be executed for a workload or for a [KeptnApp](https://lifecycle.keptn.sh/docs/yaml-crd-ref/app/).

## Main features of : Metrics, Observability and Release lifecycle

* **Custom Metrics:** The Custom Keptn Metrics feature in the
Keptn Lifecycle Toolkit allows you to define metrics from
multiple data sources in your Kubernetes cluster.
It supports deployment tools like Argo, Flux, KEDA, HPA, or
Keptn for automated decision-making based on observability data.
Your observability data may come from multiple observability solutions
– Prometheus, Dynatrace, Datadog and others – or may be data that comes
directly from your cloud provider such as AWS, Google, or Azure.
The Keptn Metrics Server unifies and standardizes access to data from
arious sources, simplifying configuration and integration into a single
set of metrics.

* **Observability:** The Keptn Lifecycle Toolkit (KLT) ensures observability
for Kubernetes deployments by creating a comprehensive trace of all Kubernetes
activities within a deployment.
It introduces the concept of applications, which connect logically related
workloads using different deployment strategies.
With KLT, you can easily understand deployment durations and failures across
multiple strategies.
It captures DORA metrics and exposes them as OpenTelemetry metrics.
The observability data includes out-of-the-box DORA metrics, traces from
OpenTelemetry, and custom Keptn metrics from configured data providers.
Visualizing this information is possible using dashboard tools like Grafana.

* **Release Lifecycle:** The Lifecycle Toolkit offers versatile functionalities
for deployment scenarios, including pre-deployment validation, image scanning,
and post-deployment tasks like test execution and stakeholder notification.
It automatically validates against Service Level Objectives (SLOs) and provides
end-to-end deployment traceability.
The toolkit extends deployments with application-aware tasks and evaluations,
allowing checks before or after deployment initiation.
It validates Keptn metrics using the Keptn Metrics Server, ensuring a healthy
environment and confirming software health against SLOs like performance and
user experience.
Additionally, it enables monitoring of new logs from log monitoring solutions.

To get started with Keptn Lifecycle Toolkit, refer to the
[Getting Started Exercises](https://main.lifecycle.keptn.sh/docs/getting-started/)
for detailed instructions and examples.
This guide will walk you through the installation process and help you set up
your environment for using KLT effectively.

## Compare Keptn Lifecycle Toolkit and Keptn LTS

Expand Down Expand Up @@ -89,7 +133,7 @@ we discussed the differences and similarities
between Keptn and the Keptn Lifecycle Toolkit
to help you decide which best fits your needs.
View the recording:
[Compare Keptn V1 and the Keptn Lifecycle Toolkit](https://www.youtube.com/watch?v=0nCbrG_RFos)
[Compare Keptn V1 and the Keptn Lifecycle Toolkit](https://www.youtube.com/watch?v=-cKyUKFjtwE&t=170s)

## Overviews of Keptn Lifecycle Toolkit

Expand All @@ -101,7 +145,7 @@ the Keptn Lifecycle Toolkit:
and the concepts that drive the Keptn Lifecycle Toolkit,
then gives a simple demonstration of a Keptn Lifecycle Controller implementation.

* [Keptn Lifecycle Toolkit in a Nutshell](https://www.youtube.com/watch?v=K-cvnZ8EtGc)
* [Introducing Keptn Lifecyle Toolkit](https://youtu.be/449HAFYkUlY)
gives an overview of what KLT does and how to implement it.

* [Keptn Lifecycle Toolkit Demo Tutorial on k3s, with ArgoCD for GitOps, OTel, Prometheus and Grafana](https://www.youtube.com/watch?v=6J_RzpmXoCc)
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