Local development and testing are significant for engineers who wish to ship confidently onto production environments. Test-driven development (TDD) has been adopted as an essential practice to enforce that and ensure that every code change is validated locally and on CI. This is where we arrive at the Testcontainers libraries that support your tests, providing lightweight, ephemeral instances of common databases, message brokers, web browsers, or anything else that can run in a Docker container. With Testcontainers, available in different popular languages: Java, Go, .NET, JavaScript/Typescript, and Python, you can replicate the production environment on your local machine and test everything (including AWS APIs powered by LocalStack)! Testcontainers ensure that the data access layer, user interface, and application are tested well at each step. In this session, we have looked at Testcontainers and how to adopt them to develop our applications locally and run our integration tests while using LocalStack to provision cloud resources inside a Docker container before pushing your application to production! In the end, we have also discussed how LocalStack and the Java version of Testcontainers play nicely with each other and wind up with updates about the all-new LocalStack release!

Why wait for the cloud to test your app? In this episode, we’ll write and run an integration test to validate our LocalStack app. You’ll learn how to upload a file, trigger the Lambda-SQS-DynamoDB flow, and assert the results all locally.

Testing AWS CI/CD pipelines in the cloud can be slow, error-prone, and hard to debug, especially when you're wrestling with IAM permissions or waiting on long feedback cycles. This session walks through how you can now emulate complete DevOps workflows locally using LocalStack.We cover recent additions to LocalStack that support new service providers such as: CodeBuild: Run build processes across different runtimes directly on your machine CodeDeploy: Emulate deployment steps without touching the real infrastructure CodePipeline: Create and test CI pipelines, transitions, and triggers locallyThrough a live demo, we’ll walk through a working example of a CI/CD pipeline — building a Rust project, deploying it, and running the pipeline stages — all without leaving your laptop.This session is useful for developers building or debugging AWS-native CI/CD workflows and looking for faster, more controlled ways to test them.

dbt (Data Build Tool) helps data engineers manage data transformations using modular SQL and brings version control, testing, and documentation to their transformation logic. However, running dbt against production data warehouses like Snowflake can be slow, expensive, and risky.This session introduces a new way to develop and test dbt workflows locally using the Snowflake emulator in LocalStack. You'll learn how to: Set up a local dbt environment Configure dbt to connect to the Snowflake emulator Run and validate dbt models locally without using a real Snowflake account Iterate quickly on transformations before pushing them to productionThrough a hands-on factory app example, we’ll walk through how to use the Snowflake emulator to run dbt models on your laptop, helping you test logic, catch issues early, and reduce cloud costs.