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On Amazon Web Services, there are many ways to run an application on a single node.

The first compute option on AWS was the EC2 virtual server instance. But EC2 is a large abstraction compared to what many people need for their nodes–which is a container with a smaller set of resources to work with. Containers can be run within a managed cluster like ECS or EKS, or run on their own as AWS Fargate instances, or simply as Docker containers running without a container orchestration tool.

Beyond the option of explicit container instances, users can run their application as a “serverless” function-as-a-service such as AWS Lambda. Functions-as-a-service abstract away the container and let the developer operate at a higher level, while also providing some cost savings.

Developers use these different compute options for different reasons. Deepak Singh is the director of compute services at Amazon Web Services, and he joins the show to discuss the use cases and tradeoffs of these options.

Deepak also discusses how these tools are useful internally to AWS. ECS and Lambda are high-level APIs that are used to build even higher level services such as AWS Batch, which is a service for performing batch processing over large data sets.

The post AWS Compute with Deepak Singh appeared first on Software Engineering Daily.