Kafka Service Fleet Manager

A service for provisioning and managing fleets of Kafka instances.

For more information on how the service works, see the implementation documentation.

Prerequisites

• Golang 1.19+
• Docker - to create database
• ocm cli - ocm command line tool
• Node.js v14.17+ and npm

There are a number of prerequisites required for running kas-fleet-manager due to its interaction with external services. All of the below are required to run kas-fleet-manager locally.

NOTE: some of the hyperlinks in the User Account & Organization Setup and Populating configuration are not publicly accessible outside of Red Hat organization

User Account & Organization Setup

1. Request additional permissions for your user account in OCM stage. Example MR
   • Ensure your user has the role ManagedKafkaService. This allows your user to create Syncsets
2. Ensure the organization your account or service account belongs to has quota for installing the Managed Kafka Add-on, see this example
   • Find your organization by its external_id beneath ocm-resources/uhc-stage/orgs

Configuring Observability

The Observability stack requires a Personal Access Token to read externalized configuration from within the bf2 organization. For development cycles, you will need to generate a personal token for your own GitHub user (with bf2 access) and place it within the secrets/observability-config-access.token file.

To generate a new token:

1. Follow the steps found here, making sure to check ONLY the repo box at the top of the scopes/permissions list (which will check each of the subcategory boxes beneath it)
2. Copy the value of your Personal Access Token to a secure private location. Once you leave the page, you cannot access the value again & you will be forced to reset the token to receive a new value should you lose the original
3. Paste the token value in the secrets/observability-config-access.token file

Data Plane OSD cluster setup

Kas-fleet-manager can be started without a dataplane OSD cluster, however, no Kafkas will be placed or provisioned. To setup a data plane OSD cluster, please follow the Using an existing OSD cluster with manual scaling enabled option in the data-plane-osd-cluster-options.md guide.

Populating Configuration

1. Add your organization's external_id to the Quota Management List Configurations if you need to create STANDARD kafka instances. Follow the guide in Quota Management List Configurations
2. Follow the guide in Access Control Configurations to configure access control as required
3. Retrieve your ocm-offline-token from https://qaprodauth.cloud.redhat.com/openshift/token and save it to secrets/ocm-service.token
4. Setup AWS configuration

   make aws/setup
   

5. Setup MAS SSO configuration
   • keycloak cert

     echo "" | openssl s_client -servername identity.api.stage.openshift.com -connect identity.api.stage.openshift.com:443 -prexit 2>/dev/null | sed -n -e '/BEGIN\ CERTIFICATE/,/END\ CERTIFICATE/ p' > secrets/keycloak-service.crt
     

   • mas sso client id & client secret

     make keycloak/setup MAS_SSO_CLIENT_ID=<mas_sso_client_id> MAS_SSO_CLIENT_SECRET=<mas_sso_client_secret> OSD_IDP_MAS_SSO_CLIENT_ID=<osd_idp_mas_sso_client_id> OSD_IDP_MAS_SSO_CLIENT_SECRET=<osd_idp_mas_sso_client_secret>
     

     Values can be found in Vault

6. Setup Kafka TLS cert

   make kafkacert/setup
   

7. Setup the image pull secret
   • Image pull secret for RHOAS can be found in Vault, copy the content for the config.json key and paste it to secrets/image-pull.dockerconfigjson file
8. Setup the Observability stack secrets

   make observatorium/setup
   

9. Generate OCM token secret

   make ocm/setup OCM_OFFLINE_TOKEN=<ocm-offline-token> OCM_ENV=development
   

10. Setup the RedHat SSO secrets

    make redhatsso/setup
    

Running a Local Observatorium Token Refresher

NOTE: This is only required if your Observatorium instance is authenticated using sso.redhat.com

Run the following make target:

make observatorium/token-refresher/setup CLIENT_ID=<client-id> CLIENT_SECRET=<client-secret> [OPTIONAL PARAMETERS]

Required Parameters:

• CLIENT_ID: The client id of a service account that has, at least, permissions to read metrics
• ClIENT_SECRET: The client secret of a service account that has, at least, permissions to read metrics

Optional Parameters:

• PORT: Port for running the token refresher on. Defaults to 8085
• IMAGE_TAG: Image tag of the token-refresher image. Defaults to latest
• ISSUER_URL: URL of your auth issuer. Defaults to https://sso.redhat.com/auth/realms/redhat-external
• OBSERVATORIUM_URL: URL of your Observatorium instance. Defaults to https://observatorium-mst.api.stage.openshift.com/api/metrics/v1/managedkafka

Running the Service locally

Please make sure you have followed all of the prerequisites above first.

1. Compile the binary

   make binary
   

2. Clean up and Creating the database
   • If you have db already created execute

     make db/teardown
     

   • Create database tables

     make db/setup && make db/migrate
     

   • (optional) Verify tables and records are created

     make db/login
     

     # List all the tables
     serviceapitests# \dt
                        List of relations
     Schema |        Name        | Type  |       Owner
     --------+--------------------+-------+-------------------
     public | clusters           | table | kas_fleet_manager
     public | kafka_requests     | table | kas_fleet_manager
     public | leader_leases      | table | kas_fleet_manager
     public | migrations         | table | kas_fleet_manager
     

3. Start the service

   ./kas-fleet-manager serve
   

   NOTE: The service has numerous feature flags which can be used to enable/disable certain features of the service. Please see the feature flag documentation for more information

4. Verify the local service is working

   curl -H "Authorization: Bearer $(ocm token)" http://localhost:8000/api/kafkas_mgmt/v1/kafkas
   {"kind":"KafkaRequestList","page":1,"size":0,"total":0,"items":[]}
   

Running the Service on an OpenShift cluster

Follow this guide on how to deploy the KAS Fleet Manager service to an OpenShift cluster.

Using the Service

Kafkas

Creating a Kafka Cluster

# Submit a new Kafka cluster creation request
curl -v -XPOST -H "Authorization: Bearer $(ocm token)" http://localhost:8000/api/kafkas_mgmt/v1/kafkas?async=true -d '{ "region": "us-east-1", "cloud_provider": "aws",  "name": "test-kafka", "multi_az":true}'

# List a kafka request
curl -v -XGET -H "Authorization: Bearer $(ocm token)" http://localhost:8000/api/kafkas_mgmt/v1/kafkas/<kafka_request_id> | jq

# List all kafka request
curl -v -XGET -H "Authorization: Bearer $(ocm token)" http://localhost:8000/api/kafkas_mgmt/v1/kafkas | jq

# Delete a kafka request
curl -v -X DELETE -H "Authorization: Bearer $(ocm token)" http://localhost:8000/api/kafkas_mgmt/v1/kafkas/<kafka_request_id>

Using RHOAS CLI to manage Kafka instances

The locally installed kas-fleet-manager doesn't deploy TLS enabled kafka admin server but the default URL scheme used by the app-service-cli is HTTPS. So, the url scheme should be changed to http in the CLI code and it should be built locally.

First run the Fleet Manager locally

Then, RHOAS CLI can run pointing to the locally running Fleet Manager:

./rhoas login --mas-auth-url=stage --api-gateway=http://localhost:8000

Now, various kafka specific operations can be performed as described here

Using the Kafka admin-server API

• The admin-server API is used for managing topics, acls, and consumer groups. The API specification can be found here
• To get the admin-server API endpoint, after the Kafka instance is in ready state, call the GET kafka Instance endpoint against the Fleet Manager API. Assuming the Fleet Manager is running in a local process on port 8000 that can be done by executing:

  curl -H "Authorization: Bearer $(ocm token)" http://localhost:8000/api/kafkas_mgmt/v1/kafkas/<kafka_id> | jq .admin_api_server_url
  

View the API docs

# Start Swagger UI container
make run/docs

# Launch Swagger UI and Verify from a browser: http://localhost:8082

# Remove Swagger UI conainer
make run/docs/teardown

Using podman instead of docker

Install the podman-docker utility. This will create a symbolic link for /run/docker.sock to /run/podman/podman.sock:

#Fedora and RHEL8
dnf -y install podman-docker

#Ubuntu 21.10 or higher
apt -y install podman-docker

NOTE: As this is running rootless containers, please check the etc/subuid and etc/subgid files and make sure that the configured range includes the UID of current user. Please find more details here

Additional CLI commands

In addition to the REST API exposed via make run, there are additional commands to interact directly with the service (i.e. cluster creation/scaling, Kafka creation, Errors list, etc.) without having to use a REST API client.

To use these commands, run make binary to create the ./kas-fleet-manager CLI.

Run ./kas-fleet-manager -h for information on the additional commands.

Environments

The service can be run in a number of different environments. Environments are essentially bespoke sets of configuration that the service uses to make it function differently. Environments can be set using the OCM_ENV environment variable. Below are the list of known environments and their details.

• development - The staging OCM environment is used. Sentry is disabled. Debugging utilities are enabled. This should be used in local development
• testing - The OCM API is mocked/stubbed out, meaning network calls to OCM will fail. The auth service is mocked. This should be used for unit testing
• integration - Identical to testing but using an emulated OCM API server to respond to OCM API calls, instead of a basic mock. This can be used for integration testing to mock OCM behaviour
• production - Debugging utilities are disabled, Sentry is enabled. Environment can be ignored in most development and is only used when the service is deployed

Contributing

See the contributing guide for general guidelines.

Running the Tests

Running unit tests

make test

Running integration tests

Integration tests can be executed against a real or "emulated" OCM environment. Executing against an emulated environment can be useful to get fast feedback as OpenShift clusters will not actually be provisioned, reducing testing time greatly.

Both scenarios require a database and OCM token to be setup before running integration tests, run:

make db/setup
make ocm/setup OCM_OFFLINE_TOKEN=<ocm-offline-token> OCM_ENV=development

To run a local keycloak container and setup realm configuration:

make sso/setup
make sso/config
make keycloak/setup MAS_SSO_CLIENT_ID=kas-fleet-manager MAS_SSO_CLIENT_SECRET=kas-fleet-manager OSD_IDP_MAS_SSO_CLIENT_ID=kas-fleet-manager OSD_IDP_MAS_SSO_CLIENT_SECRET=kas-fleet-manager

To run integration tests with an "emulated" OCM environment, run:

OCM_ENV=integration make test/integration

To run integration tests with a real OCM environment, run:

make test/integration

To stop and remove the database container when finished, run:

make db/teardown

To stop and remove the keycloak container when finished, run:

make sso/teardown

Current list of integration tests can be found here

Connector Service

The https://github.com/bf2fc6cc711aee1a0c2a/cos-fleet-manager is used to build the cos-fleet-manager binary which is a fleet manager for connectors similar to how kas-fleet-manager is fleet manager for Kafka instances. The cos-fleet-manager just imports most of the code from the kas-fleet-manager enabling only connector APIs that are in this repo's internal/connector package.

Connector integration tests require most of the security and access configuration listed in Prerequisites. Connector service uses AWS secrets manager as a connector specific vault service for storing connector secret properties such as usernames, passwords, etc.

Before running integration tests, the required AWS secrets files in the secrets directory MUST be configured using the command:

make aws/setup

Additional documentation:

• kas-fleet-manager Implementation
• Data Plane Cluster dynamic scaling architecture
• Explanation of JWT token claims used across the kas-fleet-manager