Category: Compute

With Amazon Elastic Kubernetes Service (EKS), you have the choice to run Kubernetes pods on EC2 instances or AWS Fargate. AWS Fargate, a serverless compute engine for containers, allows you to run Kubernetes workloads without creating and managing servers, scaling your data plane, right-sizing EC2 instances, or dealing with worker nodes upgrades. Fargate, thus far, […]

Docker Hub has recently updated its terms of service to introduce rate limits for container image pulls. While these limits don’t apply to accounts under a Pro or Team plan, anonymous users are limited to 100 pulls per 6 hours per IP address, and authenticated free accounts are limited to 200 pulls per 6 hours. […]

Originally, containers were a great fit for stateless applications. However, for many use cases there is a need for persistent storage, without which stateful workloads are not possible. Kubernetes first introduced support for stateful workloads with in-tree volume plugins, meaning that the plugin code was part of the core Kubernetes code and shipped with the […]

Recently, we announced features to improve the configuration and metric gathering experience of your tasks deployed via AWS Fargate for Amazon ECS. Based off of customer feedback, we added the following features: Environment file support Deeper integration with AWS Secrets Manager using secret versions and JSON keys More granular network metrics, as well as additional […]

Michael Brown and Michael Hausenblas Replicating container images across regions in Amazon Elastic Container Registry (ECR) automatically has been one of the most asked features and we’re glad to be able to share the good news with you: it has landed. Where previously you had to implement the replication yourself you can now leave the […]

AWS X-Ray is a managed distributed tracing system that helps customers gain end-to-end visibility of requests and provides rich visualization of connected services. This post will show how customers can integrate AWS X-Ray as a backend for Zipkin traces generated from services in a Istio service mesh.

This post was contributed by Re Alvarez Parmar, Sr Solutions Architect, and Avi Harari, Technical Account Manager. One of the key benefits of operating on AWS is how easily customers can use AWS’s global footprint to run their workloads in multiple regions. Whether you need a multi-region architecture to support disaster recovery or bring your […]

This post is contributed by Anita Buehrle, Director of Content at Weaveworks. In the first part of this series, we discussed the history of GitOps, its benefits, and how it works. Now that you have an idea of what GitOps is all about, we’re going to dive into how to configure a GitOps pipeline with […]

This post is contributed by Anita Buehrle, Director of Content at Weaveworks. Companies want to go fast; they need to deploy more often, more reliably, and preferably with less overhead. GitOps is a fast and secure method for developers to manage and update complex applications and infrastructure running in Kubernetes. GitOps is an operations and […]

NOTICE: October 04, 2024 – This post no longer reflects the best guidance for configuring a service mesh with Amazon EKS and its examples no longer work as shown. Please refer to newer content on Amazon VPC Lattice. ——– This post was created in collaboration with Claudio Acquaviva, Solution Engineer, Kong, and Morgan Davies, Kong […]