Containers

Category: Best Practices

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How to use components to augment the infrastructure in an AWS Proton template

Introduction AWS Proton is a managed service that helps platform engineers scale their impact by defining, vending, and maintaining infrastructure templates for self-service deployments. With Proton, customers can standardize centralized templates to meet security, cost, and compliance goals. Proton helps platform engineers scale up their impact with a self-service model, resulting in higher velocity for […]

ECS auto scaling using custom metrics

Amazon Elastic Container Service (ECS) Auto Scaling using custom metrics

Introduction Amazon ECS eliminates the need to install, operate, and scale your own cluster management infrastructure. Customers are using horizontal scalability to deploy and scale their microservices applications running on Amazon ECS. They use the Application Auto Scaling service to automatically scale based on metrics data. Amazon ECS typically measures service utilization based on average […]

Enabling AWS X-Ray tracing for AWS App Runner service using AWS Copilot CLI

AWS Copilot CLI is an open-source command line interface that makes it easy for developers to build, release, and operate production-ready containerized workloads on AWS App Runner, Amazon Elastic Container Service (Amazon ECS), and AWS Fargate. Under the hood, Copilot uses AWS CloudFormation for provisioning and managing the underlying infrastructures on your behalf so that […]

Introducing new templates to the AWS Proton template library

Today, we are announcing new additions to the AWS Proton sample template library. The library is a curated set of AWS Proton templates that use AWS best practices for popular applications such as a load-balanced web application or an Amazon API Gateway backed by AWS Lambda. You can use the library to deploy these common […]

Observability for AWS App Runner VPC networking

With AWS App Runner, you can quickly deploy web applications and APIs at any scale. You can start with your source code or a container image, and App Runner will fully manage all infrastructure, including servers, networking, and load balancing for your application. If you want, App Runner can also configure a deployment pipeline for […]

Figure 1. Capacity provider strategy controls tasks placement

Optimize cost for container workloads with ECS capacity providers and EC2 Spot Instances

Amazon EC2 Spot Instances use spare Amazon Elastic Compute Cloud  (Amazon EC2) capacity at up to a 90% discount compared to On-Demand prices. Amazon EC2 can interrupt Spot Instances with a two-minute notification when EC2 needs the capacity back. Spot Instances are an ideal option for applications that are stateless, fault-tolerant, scalable, and flexible, such as big data, […]

AWS Proton Self-Managed Provisioning

This is part two of two blog posts regarding this release: in this post, we address a second feature that recently launched, which is connecting AWS Proton with a self-managed provisioning workflow. To read part one, where we cover how to author AWS Proton Templates using HashiCorp Configuration Language (HCL) and Terraform, see AWS Proton Terraform […]

Diagram of AWS Proton Service Template

AWS Proton Terraform Templates

At re:Invent 2020, AWS launched a new service, AWS Proton, aimed at helping automate and manage infrastructure provisioning and code deployments for serverless and container-based applications. At launch, AWS CloudFormation was the only option available to customers for provisioning their infrastructure through AWS Proton. Supporting HashiCorp Terraform is currently the most upvoted item on our public […]

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 […]

Rolling EC2 AMI updates with capacity providers in Amazon ECS

When deploying containers to Amazon Elastic Container Service (Amazon ECS), customers have choices as to what level of management they want or need to have over the cluster compute. First there is AWS Fargate, which is a serverless compute engine that removes the need for customers to provision and manage servers. This approach simplifies the […]