By default, container image builders compress each container image layer using the gzip compression algorithm. A container image builder compresses each image layer before pushing it up to an image registry, such as Amazon Elastic Container Registry ( Amazon ECR). It’s in this area of extracting container images where zstd-compressed container images help reduce start up times on AWS Fargate.Ĭontainer images are distributed as a bundle of layers that are stacked on top of each other as an overlay filesystem at runtime. The requirement to download and extract an image each time can lead to workload startup times being slower on AWS Fargate when compared to a multi-tenant instance. This process is in contrast to multi-tenant instances like Amazon ECS Container Instances or Kubernetes Nodes, where a container image may already exist on a host from a replica of the same workload. The container images required to run a workload on AWS Fargate are downloaded for every Amazon ECS Task or Kubernetes Pod. On AWS Fargate, each containerized workload, Amazon ECS Task, or Kubernetes Pod, runs on its own single-use single-tenant instance that’s not reused after the workload finishes. Once a containerized workload has been scheduled by a container orchestrator, AWS Fargate provides a serverless compute environment to run that workload removing the operational overhead to secure, scale, and manage Amazon EC2 instances. 19, 2022: Amazon ECR’s Enhanced Scanning, powered by AWS Inspector, now supports scanning zstd compressed container imagesĪWS Fargate is a serverless compute engine for containerized workloads running on Amazon Elastic Container Service ( Amazon ECS) and Amazon Elastic Kubernetes Service ( Amazon EKS).
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