Containers

Category: Amazon Elastic Kubernetes Service

Capturing logs at scale with Fluent Bit and Amazon EKS

Earlier this year, AWS support engineers noticed an uptick in customers experiencing Kubernetes API server slowness with their Amazon Elastic Kubernetes Service (Amazon EKS) clusters. Seasoned Kubernetes users know that a slow Kubernetes API server is often indicative of a large, overloaded cluster or a malfunctioning controller. Once support engineers ruled out cluster size as […]

Persistent Storage using EFS for EKS on Bottlerocket

In this post, we discuss about how to achieve persistent storage with Amazon Elastic Kubernetes Service (Amazon EKS) clusters running on Bottlerocket OS with Amazon Elastic File System (Amazon EFS). Persistent storage is needed for long running stateful applications to persist state for high availability or to scale out around shared datasets. This is true […]

Fluentd considerations and actions required at scale in Amazon EKS

Fluentd is a popular open source project for streaming logs from Kubernetes pods to different backends aggregators like CloudWatch. It is often used with the kubernetes_metadata filter, a plugin for Fluentd. The filter enriches the logs with basic metadata such as the pod’s namespace, UUIDs, labels, and annotations. It collects this information by querying the […]

A multi-cluster shared services architecture with Amazon EKS using Cilium ClusterMesh

Introduction Over the past couple of years, organizations have increased their pace of Kubernetes adoption. They want to be more agile so they can innovate and deliver new products to the market more efficiently. Among many of the early adopters of the Kubernetes platform, it was not uncommon to operate a single large Kubernetes cluster […]

Setting up a Bottlerocket managed node group on Amazon EKS with Terraform

Introduction Kubernetes, an open-source container management system, has surged in popularity and adoption in the past several years. From startups to large established enterprises across industry verticals are rapidly adopting it for their mission critical tasks and workloads. It is declarative, open source, and highly pluggable. In this blog, we will discuss what is, along […]

Amazon EKS 1.20 Released

The Amazon Elastic Kubernetes Service (Amazon EKS) team is pleased to announce support for Kubernetes 1.20. I had the privilege of serving on the upstream release team for this release from September to December of 2020 and am excited for Amazon EKS customers to experience “The Raddest Release” in all its glory. Kubernetes 1.20 Official […]

Migrating from self-managed Kubernetes to Amazon EKS? Here are some key considerations

Overview We talk to customers every day who are either planning a migration to Amazon Elastic Kubernetes Service (Amazon EKS) or who are in the middle of a migration to Amazon EKS. These customers may start with a self-managed Kubernetes deployment but as Kubernetes footprints scale up, it becomes quite cumbersome to manage a Kubernetes […]

Modernize Java and .NET applications remotely using AWS App2Container

Since the launch of AWS App2Container, customers have been asking for the ability to remotely manage the migrations of Java and .NET applications running on Windows or Linux hosts. Beginning with the version 1.2 of App2Container, users can accomplish containerization of their workloads without installing A2C software on the application servers. The remote execution feature […]

Planning Kubernetes Upgrades with Amazon EKS

In February, Amazon Elastic Kubernetes Service (Amazon EKS) released support for Kubernetes version 1.19. We announced this through the usual mechanisms with our What’s New post and updates in Amazon EKS documentation. After some conversations both internally and with our customers, we have decided to start regular AWS Containers blog posts on Amazon EKS Kubernetes […]

Monitoring your service mesh container environment using Amazon Managed Service for Prometheus

Observability is critical for any application and to understand system behavior and performance. It takes a lot of time and effort to detect and remediate performance slowdowns or disruptions. It’s even more challenging in a multi-tenant environment where numerous microservices are running and the processing of a request spans a handful of services. Service meshes […]