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!

Modern software systems operate in complex, dynamic environments where failures are inevitable. Traditional monitoring and manual incident response are no longer sufficient to ensure resilience or customer satisfaction. This talk explores how to design and implement self-healing software systems by combining telemetry data with an AI-driven agentic approach. We’ll start by examining how high-quality telemetry forms the foundation for detecting anomalies and predicting failures. Next, we’ll show how modern GenAI (LLMs) can transform this telemetry into actionable insights for AI agents that interpret data, pinpoint root causes, and apply automated fixes. Through a practical, real-world example, you’ll see how telemetry and AI work together to create adaptive feedback loops that continuously improve system reliability, while freeing engineers from repetitive operational tasks.

LocalStack’s core cloud emulator allows us to run our own cloud application - including its infrastructure - locally, which provides an efficient developer experience at the start of the entire software development lifecycle (SDLC). This experience enables us to build our product features in a way that closely matches what our customers are looking for — a comprehensive developer platform that facilitates local multi-cloud development across different providers and services. In this session from LocalStack Community Meetup April '24, Lukas Pichler showcases how to use the LocalStack core cloud emulator and other novel solutions, to build, test, and integrate new features in our LocalStack Web Application. He covers an application overview, how we enable local cloud development, how we use LocalStack in CI, and how we use LocalStack to enable application previews and E2E testing.

What happens when your cloud services fail? 💥 In this final episode of our series, we dive into the LocalStack Chaos Dashboard to simulate real-world outages—like DynamoDB errors—and see how your app responds under pressure. Learn how to intentionally break your systems locally so you can ship more resilient applications in production.