AWS Fargate
Serverless container platform for scalable cloud applications
À propos de AWS Fargate
AWS Fargate is a serverless compute engine that eliminates server management, allowing developers to focus on building applications. It handles scaling, patching, and infrastructure tasks while offering cost optimization through pay-as-you-go pricing. Ideal for web apps, APIs, microservices, AI/ML workloads, and data processing.
FAQ
AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). It eliminates the need to provision and manage servers, allowing you to focus on building applications.
Both Amazon ECS and Amazon EKS can schedule containers onto AWS Fargate to automatically scale, load balance, and optimize container availability through managed scheduling, providing an easier way to build and operate containerized applications.
Service quotas in AWS Fargate are based on the number of vCPU cores used in a given region in a given account. New AWS accounts might have initial lower quotas that can increase over time, and you can request to raise these soft limits through the standard AWS service quota increase process.
AWS offers Spot instances for AWS Fargate, which can help reduce costs. Additionally, AWS Fargate supports Compute Savings Plan pricing options, similar to Amazon EC2 instances, allowing you to save on long-term usage.
Yes, AWS Fargate is HIPAA-eligible. If you have an executed Business Associate Addendum (BAA) with AWS, you can process encrypted Protected Health Information (PHI) using containers deployed onto AWS Fargate.
AWS provides several tools for monitoring and responding to various facets of your AWS Fargate resources, including Amazon CloudWatch Alarms, Amazon CloudWatch Logs, Amazon CloudWatch Events, AWS CloudTrail Logs, AWS Trusted Advisor, and AWS Compute Optimizer. CloudWatch Container Insights is a popular approach for collecting and analyzing logs and viewing operational dashboards.
You can reduce AWS Fargate startup times by using zstd compressed container images. The layers of a container image are compressed for efficiency, and zstd has been shown to decompress more quickly, resulting in faster task launch times.
Yes, when using Amazon ECS, AWS Fargate allows you to run your Arm-based applications by using Arm-compatible container images or multi-architecture container images in Amazon Elastic Container Registry (Amazon ECR). You can specify the CPU Architecture as Arm64 in your Amazon ECS Task Definition to target AWS Fargate powered by Arm-based AWS Graviton Processors.
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