Containers

Tag: metrics

Diving into Container Insights cost optimizations for Amazon EKS

Introduction Amazon CloudWatch Container Insights allows you to collect, aggregate, and analyze metrics, logs, and traces for your container-based applications and infrastructure on AWS. Container Insights captures metrics for various resources, such as CPU, memory, disk, and network, along with diagnostic data like container restart failures, which enables you to efficiently isolate and resolve problems. […]

All you need to know about moving to containerd on Amazon EKS

Introduction The dockershim, an application programming interface (API) shim between the kubelet and the Docker Engine, deprecated from Kubernetes 1.24 in favor of supporting Container Runtime Interface (CRI) compatible runtimes. Amazon Elastic Kubernetes Service (Amazon EKS) also ended support of the dockershim starting with the Kubernetes version 1.24 release. The official EKS Amazon Machine Images(AMI) […]

Automatically enable group metrics collection for Amazon EKS managed node groups

Automatically enable group metrics collection for Amazon EKS managed node groups

Introduction Amazon Elastic Kubernetes Service (Amazon EKS) managed node groups automate the provisioning and lifecycle management of Kubernetes nodes (Amazon Elastic Compute Cloud (Amazon EC2) instances) for Amazon EKS Kubernetes clusters. Managed nodes are provisioned as part of an Amazon EC2 Auto Scaling group that’s managed for you by Amazon EKS. Amazon EKS doesn’t enable […]

Autoscaling EKS on Fargate with custom metrics

This is a guest post by Stefan Prodan of Weaveworks. Autoscaling is an approach to automatically scale up or down workloads based on the resource usage. In Kubernetes, the Horizontal Pod Autoscaler (HPA) can scale pods based on observed CPU utilization and memory usage. Starting with Kubernetes 1.7, an aggregation layer was introduced that allows third-party […]