Cloud pods are persistent state snapshots of your LocalStack instance that can easily be stored, versioned, shared, and restored. They can be used to save and manage snapshots of active LocalStack instances, share state snapshots with your team to debug collectively, automate your testing pipelines by pre-seeding CI environments, and create reproducible development and testing environments locally. In this session from LocalStack Community Meetup July '24, Bart Szydlowski explores how to use Cloud Pods to accelerate your cloud development & testing. He showcases how you can get started with Cloud Pods, integrate them into your testing pipelines, and make it easy for your team members to be onboarded to your cloud infrastructure — running all on your local machine!

Running your Spring Boot app on AWS for production is common, but testing there can be slow and costly. In this video, we’ll show you how to speed up development using LocalStack. By provisioning your infrastructure with Terraform, you can easily switch to local testing in just three steps: configure your dev environment variables, start LocalStack in Docker, and run your IaC files. Get faster feedback and reduce costs by testing locally with LocalStack!

In this live session, WireMock CTO Tom Akehurst will introduce hybrid API simulation (local + cloud) with WireMock Runner. Tom will explain why we built Runner, how developers are using it today, and how it fits into modern dev and test workflows - such as simulating APIs during testing, prototyping, and AI-native development.

LocalStack Chaos API enables you to simulate outages in any AWS region or service. Chaos API provides an easy way to implement chaos engineering experiments to test a wide variety of simulated outages and failures within your application safely, without impacting your production users. Common examples can include region-wide outages, DNS failovers, service failures, and network faults. All the testing scenarios described above can be executed within LocalStack, providing thorough coverage for critical situations in a matter of minutes rather than hours or days. In this presentation by Viren Nadkarni, we explore how Chaos API is leveraged to perform service failures in a local environment while using robust error handling to address and mitigate such issues.