LocalStack Resource Library

Connecting your applications to LocalStack has not always been easy. In this video, Simon from the LocalStack team discusses how we streamlined the LocalStack networking experience. We discussed the challenges of connecting your applications to LocalStack and how we're simplifying the LocalStack networking experience.Simon also discussed about configurations required for more complex networking setups, and some common networking scenarios, with example configuration for achieving connectivity.Read our blog to learn more: https://blog.localstack.cloud/2024-03-04-making-connecting-to-localstack-easier/

LocalStack integrates with official AWS Software Development Kits (SDKs) so you can connect to LocalStack services using the same application code you use for AWS services. This lets you develop and test your applications locally without connecting to the cloud.In this video, we will talk about how you can connect to LocalStack emulated services using AWS SDKs.

LocalStack is ephemeral, so when you stop and restart it, all data is lost. You can use certain features to save the state & load it back when you restart LocalStack. This includes saving the local state for S3 buckets, DynamoDB tables, RDS databases and more. In this video, we explore three mechanisms that allows you to save state in LocalStack. They are:• Persistence• State Export & Import• Cloud Pods ## Documentation• State management: https://docs.localstack.cloud/user-guide/state-management/ • Cloud Pods: https://docs.localstack.cloud/user-guide/state-management/cloud-pods/ • Persistence: https://docs.localstack.cloud/user-guide/state-management/persistence/ • State Export & Import: https://docs.localstack.cloud/user-guide/state-management/export-import-state/

In this video, you'll learn how to set up and integrate LocalStack's Snowflake Emulator to develop and test your Snowflake data apps in your local environment or CI pipelines. Whether you're using Snowpark, various client libraries, or building interactive data apps with frameworks like Streamlit, this emulator simplifies your developer experience.We'll walk you through step-by-step instructions on:- Installing the Snowflake emulator with the LocalStack CLI & Docker- Configuring and integrating the emulator with popular SQL clients, such as DBeaver- Running SQL queries locally to replicate a full Snowflake environment without cloud dependencies⚡ Get early access! The Snowflake Emulator is currently in public preview—reach out via the link below for access and start building today!## Resources- LocalStack for Snowflake documentation: https://snowflake.localstack.cloud/- LocalStack for Snowflake samples: https://github.com/localstack-samples/localstack-snowflake-samples- Get access: https://www.localstack.cloud/contact

Real cloud developers aren’t pushing straight to AWS.They’re building and testing everything locally before a single deploy goes live.This episode breaks down the modern cloud dev workflow and how tools like LocalStack make it possible to move fast without burning money (or trust).Learn how local-first dev culture is changing the cloud game.

LocalStack Applications in Developer Hub provides sample templates to help LocalStack users adopt real-world scenarios to rapidly and conveniently create, configure, and deploy applications locally. ## Getting startedIn this demo, we will setup a Sagemaker on Localstack

What if your AI coding assistant could not only write infrastructure code, but also deploy it, test it, and fix issues automatically — all on your local machine? That's exactly what the LocalStack MCP Server makes possible.In this session, we'll introduce the LocalStack Model Context Protocol (MCP) Server, a new tool that lets AI agents manage your entire local cloud development lifecycle through a conversational interface. You'll learn:What MCP is and why it's a game-changer for AI-assisted developmentHow the LocalStack MCP Server turns manual cloud tasks into automated workflowsHow to set up and configure the server with your favorite AI editor (Cursor, VS Code, etc.)Real-world demos: deploying CDK apps, analyzing logs, running chaos tests, managing state with Cloud Pods, and more.Through hands-on examples, we'll walk through a complete workflow where an AI agent deploys a serverless application, verifies resources, troubleshoots issues, and tests resilience, all without leaving the conversation.If you've ever wished your AI assistant could do more than just generate code, this talk will show you what's possible when agents can actually manage your local cloud environment.

Looking to bring AWS emulation directly into your CI/CD pipelines? This hands-on session with Harsh Mishra shows you how to integrate LocalStack with Dagger to level up your development workflows.In this session, you'll learn how to:- Run full AWS emulation locally inside Dagger pipelines- Spin up LocalStack as a service using Dagger’s composable syntax- Use Cloud Pods for persistent state across pipeline runs- Create ephemeral environments for fast, clean, isolated testingKeep your cloud workflows repeatable, testable, and fastWhether you’re building serverless apps, managing infrastructure-as-code, or optimizing your DevOps pipelines, this talk will help you bring LocalStack into the heart of your CI/CD setup.

LocalStack's Docker Extension allows developers to manage and run cloud applications locally within Docker Desktop efficiently. With a fully-integrated experience with features such as configuration profiles, container logs, and more, developers can now easily manage their LocalStack instance.In this video, Harsh from LocalStack discusses the LocalStack Docker Extension and how you can capitalize on an intuitive user experience to manage your LocalStack image, configuration profiles, and container logs directly within the Docker Desktop.