Cloud pods are persistent state snapshots of your LocalStack instance that can easily be stored, versioned, shared, and restored. Cloud Pods can be used for various purposes, such as:• 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.• 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!Docs: https://docs.localstack.cloud/user-guide/state-management/cloud-pods/

Testing in the cloud = slow builds, fragile staging, surprise bills.Let’s talk about how developers are flipping the script and using local cloud environments to test smarter, faster, and cheaper without breaking production.Bonus: You’ll learn how LocalStack lets you simulate AWS on your machine. Game changer.

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.

Want to modernize your CI/CD workflows? 🚀 In this session, Jason McCallister introduces Dagger, the open-source programmable CI/CD engine that’s redefining how we build, test, and ship software.You'll learn:- What makes Dagger different from traditional CI/CD tools- How to write pipelines as code and run them locally- How to compose reusable, testable pipeline components- Real-world examples of solving CI headaches with Dagger- Integration tips with Docker, Kubernetes, and beyondWhether you’re a DevOps pro, platform engineer, or just tired of brittle YAML, this talk will show you how Dagger helps you ship faster and smarter.