In this hands-on session, you’ll learn how to level up your serverless development by integrating the AWS Toolkit for VS Code with LocalStack — enabling faster Lambda development, debugging, and testing without needing a live AWS account. 👨💻 Featuring: Joel Scheuner, Senior Software Engineer at LocalStack, will show you how to configure the AWS Toolkit for VS Code to connect with LocalStack, deploy and test Lambda functions locally with full AWS emulation, set breakpoints and debug functions right from your IDE, and iterate quickly on code changes with minimal setup overhead. You’ll also hear from an AWS engineer sharing real-world insights and best practices for modern serverless workflows. Whether you’re new to serverless or already deep in AWS development, this session will help you code with confidence and streamline your Lambda workflow from start to finish — all from your laptop.

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.