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.

When it comes to productivity, developer experience is more than just a buzzword. Creating an intuitive developer experience could help you get more out of LocalStack by democratizing access, cutting out manual tasks, and making environments more easily interchangeable between LocalStack and AWS.On a day-to-day basis, this could mean fewer tickets, less time spent creating environments, and more time on the important work that your environments support.This demo session will show how LocalStack’s new integration with Quali Torque can accelerate deployment on both LocalStack and AWS by:* Using generative AI to create reusable environment templates that can be deployed to LocalStack and AWS interchangeably in just a few clicks.( Providing a self-service catalog for your teams to find and provision environments quickly and easily—and without access to create or modify resource configurations.* Simplifying the deployment experience by eliminating complexity and security requirements to run environments on AWS.* Tracking all activity to identify performance issues for LocalStack deployments and wasted cloud costs for AWS deployments proactively.

Most people think the cloud is just files floating in the sky.Spoiler: it's not.In this episode, I’m breaking down what “the cloud” really is, why everything you’ve been told is probably wrong, and why it's the engine behind everything from Netflix to AI to your online checkout.This is the kickoff to WTH is the Cloud?! a fun series that makes cloud technology make sense.

Ever wonder why some teams intentionally break their own systems? Welcome to the world of chaos engineering — a practice that's not just for Netflix-scale infrastructure, but for any team that wants to build resilient, reliable applications.In this session, we'll demystify chaos engineering and explain why intentionally breaking things is actually the smart move. You'll learn:What chaos engineering really is (in plain English, no buzzwords)Why waiting for production failures is a terrible strategyHow to start experimenting with controlled failure locally, before it happens in the wildReal-world examples of chaos experiments that catch bugs you'd never find in traditional testingTools and techniques to get started without blowing up your infrastructureThrough practical demos using LocalStack's cloud emulation and chaos engineering tools, we'll simulate failures like network latency, service outages, and resource exhaustion right from your laptop.If you've ever said "it worked on my machine" only to watch it crash in production, this talk is for you—let's break things intentionally so they don't break unexpectedly.