Containers

Category: Amazon EC2

Diagram of Karpenter pods

Managing Pod Scheduling Constraints and Groupless Node Upgrades with Karpenter in Amazon EKS

Overview Karpenter is a high-performance Kubernetes cluster autoscaler that can help you autoscale your groupless nodes by letting you schedule layered constraints using the Provisioner API. Karpenter also makes node upgrades easy through the node expiry TTL value ttlSecondsUntilExpired. This blog post will walk you through all of the steps to make this possible, and […]

Using Amazon EC2 Spot Instances with Karpenter

Update: Starting Karpenter version 0.19.3 it is recommended to use Karpenter native interruption handling rather than using a standalone Node Termination Handler. For more information, refer to the Karpenter FAQ. Overview Karpenter is a dynamic, high performance cluster auto scaling solution for the Kubernetes platform introduced at re:Invent 2021. Customers choose an auto scaling solution for […]

Collecting data from edge devices using Kubernetes and AWS IoT Greengrass V2

Kubernetes is open-source software that allows you to deploy and manage containerized applications at scale. It manages clusters of Amazon Elastic Compute Cloud (Amazon EC2) compute instances and runs containers on those instances with processes for deployment, maintenance, and scaling. Using Kubernetes, you can run any type of containerized application using the same toolset on […]

Introducing AWS App Mesh Metrics Extension

Today, we are excited to announce that the AWS App Mesh metrics extension is now generally available. With App Mesh metrics extension, customers can collect, aggregate, and filter App Mesh specific metrics that are meaningful and aid in debugging while benefiting from reduced usage costs. App Mesh metrics extension is available to all customers running […]

How to build your containers for ARM and save with Graviton and Spot instances on Amazon ECS

Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that enables you to deploy, manage, and scale containerized applications. For the underlying compute capacity of an Amazon ECS cluster, customers can choose between different types and sizes of Amazon Elastic Compute Cloud (Amazon EC2) instances. For many years, machines based on […]

Deploying managed P4d Instances in Amazon Elastic Kubernetes Service with NVIDIA GPUDirectRDMA

In March 2021, Amazon EKS announced support for Amazon EC2 P4d instances, enabling you to launch a fully managed EKS cluster based on the latest NVIDIA A100 GPUs. Amazon EC2 P4d instances are the next generation of GPU-based instances that provide the best performance for machine learning (ML) training and high performance computing (HPC) in […]

Theoretical cost optimization by Amazon ECS launch type: Fargate vs EC2

This post was contributed by Julia Beck, Thomas Le Moullec, Kevin Polossat, and Sam Sanders Customers often ask about best practices when using Amazon Elastic Container Service (Amazon ECS), in particular around the Well-Architected Framework pillar of Cost Optimization. Within this, choosing between the two different launch types, EC2 and Fargate, may be one of […]

Introducing security groups for pods

Security groups, acting as instance level network firewalls, are among the most important and commonly used building blocks in any AWS cloud deployment. It came as no surprise to us that integrating security groups with Kubernetes pods emerged as one of the most highly requested Amazon Elastic Kubernetes Service (Amazon EKS) features, as seen on […]

Amazon EKS on AWS Graviton2 generally available: considerations on multi-architecture apps

Today, Amazon EKS on AWS Graviton2 is generally available and with this post we want to give you some background on what this means for you and how it works in practice. We had first-generation AWS Graviton from early 2019 on in preview and many of you participated in the AWS Graviton2 preview program launched […]

Deep Dive on Amazon ECS Cluster Auto Scaling

Introduction Up until recently, ensuring that the number of EC2 instances in your ECS cluster would scale as needed to accommodate your tasks and services could be challenging.  ECS clusters could not always scale out when needed, and scaling in could impact availability unless handled carefully. Sometimes, customers would resort to custom tooling such as […]