Vibhav Agarwal

In today’s fast-paced software development landscape, development teams need to release updates faster, reduce time to market, and respond more quickly to changes in business requirements and technical dependencies.

As organizations look to broadly adopt containers for their compute, some workloads, such as big data and ETL jobs, need to fetch existing data, perform processing, and store this processed data for downstream use.

Customers are increasingly running their applications as containerized microservices on Amazon ECS. This chalk talk focuses on sharing best practices for how you can safely and quickly roll out new application versions with Amazon ECS.

In this session, walk through how to reduce operational overhead from the control plane with Amazon ECS. Learn about how to use containers for bin-packing workloads, efficient scaling techniques, cost savings plans, AWS Copilot, blueprints, and AWS Graviton.

Users need a way to build long-running services that act on some asynchronous inputs, and a lot of existing guidance only focuses on request and response services. This chalk talk offers visibility into building on Amazon ECS for additional types of workloads and for users looking to migrate from AWS Lambda.