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Managing Amazon EKS control plane events

Context

Currently EKS event TTL is set to 60m. Some customers have shown interest to increase the TTL. (aws/containers-roadmap#785). It will be an additional burden if EKS control plane provided the option to increase TTL as this will add load to ETCD and storage. This solution here tries to bridge the gap to capture events beyond 60 minutes to cloudwatch, if the customers still achieve the same. That way control plane event TTL is not modified but at the sametime, if customer wanted to capture the events beyond 60m, they could achieve the same.

Prerequisites

For this walkthrough, you should have the following prerequisites:

  • An AWS account
  • Running AWS EKS cluster
  • Basic Kubernetes knowledge (Pods, namespace and deployments)

Solution flow

image

Steps to create custom image (optional)

Below steps are required, if you want to customize various events provided in the event_watecher.py, conatainerize it, push to AWS ECR and use that in your deployment.

(1) Set environment variables

export AWS_REGION=<region>
export ACCOUNTID=<accountId>
export ECR_REPO=<repo_name>

(2) Create an AWS Elastic Container Registry (ECR) repository:

Lets create a repository inside Elastic Container Registry (ECR) as the placeholder to store the container images.

 aws ecr create-repository --repository-name=$ECR_REPO

Once the ECR repository is created, log in, so that we are ready to push the container images.

aws ecr get-login-password --region $AWS_REGION | docker login --username AWS --password-stdin $ACCOUNTID.dkr.ecr.$AWS_REGION.amazonaws.com

(3) Create the control-planes-events application using the source code provided, containerize it with Docker

Lets create a directory to store the source code, call it as “control-plane-events-app” and get inside the folder.

 mkdir control-plane-events-app && cd $_

Change the app/event_watcher.py script to your needs and use the docker build command to containerize it

 docker image build -t $ACCOUNTID.dkr.ecr.$AWS_REGION.amazonaws.com/$ECR_REPO .

(4) Push the created container image to your ECR repository:

Below command pushes the created container image to ECR repository (created in step #2)

 docker push $ACCOUNTID.dkr.ecr.$AWS_REGION.amazonaws.com/$ECR_REPO

(5) Update the container image to Deployment yaml :

Update the container image in the deployment yaml like below

 image: $ACCOUNTID.dkr.ecr.$AWS_REGION.amazonaws.com/$ECR_REPO

Files

Directory Contents Target
app Files for containerization ECR
k8_utils Files for EKS data planes EKS

Files inside app

File Contents
Dockerfile File for containerization
requirements.txt Python dependency
event_watcher.py Control plane events blueprint script

Files inside k8_utils

File Contents
deployment.yaml File for deploying above app to k8s
cluster_role.yaml To create cluster role
cluster_role_binding.yaml To create cluster role binding

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.

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