amazon-k8s-node-drainer | Gracefully drain Kubernetes pods from EKS worker nodes | Function As A Service library

amazon-k8s-node-drainer is a Python library typically used in Serverless, Function As A Service applications. amazon-k8s-node-drainer has no bugs, it has no vulnerabilities and it has low support. However amazon-k8s-node-drainer build file is not available and it has a Non-SPDX License. You can download it from GitHub.

This sample code provides a means to gracefully terminate nodes of an Amazon Elastic Container Service for Kubernetes (Amazon EKS) cluster when managed as part of an Amazon EC2 Auto Scaling Group. The code provides an AWS Lambda function that integrates as an Amazon EC2 Auto Scaling Lifecycle Hook. When called, the Lambda function calls the Kubernetes API to cordon and evict all evictable pods from the node being terminated. It will then wait until all pods have been evicted before the Auto Scaling group continues to terminate the EC2 instance. The lambda may be killed by the function timeout before all evictions complete successfully, in which case the lifecycle hook may re-execute the lambda to try again. If the lifecycle heartbeat expires then termination of the EC2 instance will continue regardless of whether or not draining was successful. You may need to increase the function and heartbeat timeouts in template.yaml if you have very long grace periods. Using this approach can minimise disruption to the services running in your cluster by allowing Kubernetes to reschedule the pod prior to the instance being terminated enters the TERMINATING state. It works by using Amazon EC2 Auto Scaling Lifecycle Hooks to trigger an AWS Lambda function that uses the Kubernetes API to cordon the node and evict the pods. NB: The lambda function created assumes that the Amazon EKS cluster's Kubernetes API server endpoint has public access enabled, if your endpoint only has private access enabled then you must modify the template.yml file to ensure the lambda function is running in the correct VPC and subnet. This lambda can also be used against a non-EKS Kubernetes cluster by reading a kubeconfig file from an S3 bucket specified by the KUBE_CONFIG_BUCKET and KUBE_CONFIG_OBJECT environment variables. If these two variables are passed in then Drainer function will assume this is a non-EKS cluster and the IAM authenticator signatures will not be added to Kubernetes API requests. It is recommended to apply the principle of least privilege to the IAM role that governs access between the Lambda function and S3 bucket.