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.

Multi-account and multi-region compatibility enables users to manage and deploy resources across multiple AWS accounts and geographic regions. This functionality enhances the robustness of the deployments by offering improved fault tolerance, scalability, and regulatory compliance. By segregating resources into separate accounts and distributing them across various regions, users can minimize the impact of potential failures and optimize performance. In this session from LocalStack Community Meetup May '24, Sannya Singhal discussed how you could use LocalStack to emulate multi-account and multi-region environments locally for testing and development purposes, ensuring that applications were resilient and scalable before deployment to the cloud.

LocalStack's cloud emulator lets you run Amazon Elastic Container Service (ECS) clusters and tasks on your local computer. It's sometimes useful to mount code from the host filesystem directly into the ECS container. This helps quickly test changes without needing to rebuild and redeploy the ECS Task's Docker image each time. This video explains how to use code mounting with the ECS bind mounts feature.

We’re partnering with gdotv to simplify development with our Amazon Neptune cloud emulator component. You can now easily query, visualise and model your graph data either interactively or using the Gremlin querying language with G.V() - Gremlin IDE. With G.V(), you can considerably enhance your graph database development experience whilst gaining access to a powerful reporting and visualisation toolset for your production data. With LocalStack’s core cloud emulator, parity is ensured between a local Neptune instance and AWS’s own, meaning Gremlin queries in your development environment will behave identically on Amazon Neptune. In this video we demonstrate how to use G.V() with LocalStack Neptune.