Pricing can be a major influencing factor when considering a serverless compute service, such as AWS Fargate. To help you understand the associated costs, this guide explains AWS Fargate pricing with a detailed cost breakdown, examples, and a checklist of optimization techniques to reduce Fargate costs.
Amazon Web Services (AWS) defines serverless computing as “an event-driven compute service that runs your code without provisioning or managing servers” in their developer documentation. Serverless services are ideal for applications that leverage APIs or other third-party services, because they eliminate the need to manage infrastructure and provide scalable compute capacity on demand.
AWS Fargate is Amazon's managed container service (MCS) that makes it easier to run containers in AWS Lambda. This article provides an overview of how to use Fargate along with advice on how to optimize its performance and minimize associated costs.
AWS Fargate Pricing: Cost Breakdown, Calculation, & Tips to Optimize Costs