Tag: EKS

Introduction Why might customers consider deploying applications on a multi-architecture Amazon Elastic Kubernetes Service (Amazon EKS) cluster, with both ARM-based and AMD-based instances? Cost optimization is often a key business driver of my customers. It’s also a key pillar for a well-architected design. Usually, there are a few widely applicable strategies for you to save […]

This post was contributed by Re Alvarez Parmar and Olly Pomeroy Containers help developers simplify the way they package, distribute, and deploy their applications. Developers package their code into a container image that includes the application code, libraries, and any other dependencies. This image can be used to deploy the containerized application on any compatible […]

Ugur KIRA, Dejun Hu, TP Kohli CloudWatch Container Insights CloudWatch Container Insights enables you to explore, analyze, and visualize your container metrics, Prometheus metrics, application logs, and performance log events through automated dashboards in the CloudWatch console. These dashboards summarize the performance and availability of clusters, nodes or EC2 instances, services, tasks, pods, and containers […]

This post is co-authored by Alex Pollitt, Co-founder and CTO at Tigera, Inc. Recently Amazon announced support for Bottlerocket on Amazon Elastic Kubernetes Service (Amazon EKS). Bottlerocket is an open source Linux distribution built by Amazon to run containers focused on security, operations, and manageability at scale. You can learn more about Bottlerocket in this […]

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, […]

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 […]

This post was created in collaboration with Claudio Acquaviva, Solution Engineer, Kong, and Morgan Davies, Kong Alliances. A service mesh is transparent infrastructure layer that has become a common architectural pattern for intra-service communication. By combining Amazon EKS and AWS App Mesh, you form a powerful platform for your microservices, addressing technical requirements that occur […]