Category: Amazon Elastic Kubernetes Service

This is a guest post by Anita Buehrle of Weaveworks. The biggest challenge faced by game publishers is the ability to deliver new features to players as quickly as possible. Not only do new features have to arrive quickly and reliably, but they also need to be delivered in a way that optimizes costs and […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Centralized logging is an instrumental component of running and managing Kubernetes clusters at scale. Developers need access to logs for debugging and monitoring applications, operations teams need access for monitoring applications, and security needs access for monitoring. These teams have […]

Security is a top priority in AWS, and in our service team we naturally focus on container security. In order to better assess where we stand, we conducted an anonymous survey in late 2019 amongst container users on AWS. Overall, we got 68 responses from a variety of roles, from ops folks and SREs to […]

This is a guest post by Stefan Prodan of Weaveworks. In Kubernetes terminology, Ingress exposes HTTP(S) routes from outside the cluster to services running within the cluster. An Ingress can be configured to provide Kubernetes services with externally-reachable URLs while performing load balancing and SSL/TLS termination. Kubernetes comes with an Ingress resource and there are several controllers that […]

In December 2019, we announced the ability to use Amazon Elastic Kubernetes Service to run Kubernetes pods on AWS Fargate. Fargate eliminates the need for you to create or manage EC2 instances for your Kubernetes applications. When your pods start, Fargate automatically allocates compute resources on-demand to run them. Fargate is great for running and […]

Introduction Our customers are embracing containers and Kubernetes/EKS for the flexibility and the agility it affords their developers. As environments continue to scale, they want to find ways to more efficiently utilize their private RFC1918 IP address space. This post will review patterns to help conserve your RFC1918 IP address space with your EKS pods leveraging […]

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 […]

By Raghav Tripathi, Michael Hausenblas, and Nathan Taber From our first conversations with customers, our vision has always been that Amazon Elastic Kubernetes Service (EKS) should provide the best managed Kubernetes experience in the cloud. When we launched EKS, our first step was to provide a managed Kubernetes control plane, but we never intended to stop […]

Since publication, we reduced the price for Amazon Elastic Kubernetes Service (EKS) by 50% to $0.10 per hour for each Kubernetes cluster that you run.  This post was contributed by AWS Container Hero, Casey Lee, Director of Engineering for Liatrio The combination of Amazon EKS for a managed Kubernetes control plane and Amazon EC2 for […]

Introduction The Amazon Elastic Kubernetes Service (EKS) team sees the ecosystem around automated software deployment as a technology frontier ripe with potential for groundbreaking innovation. Over the last twenty years, the way in which developers deploy and manage their applications has changed dramatically. Technology improvements in packaging, automation, and virtualization as well as shifts in […]