LocalStack Community Meetups & Webinars

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.

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.

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.

Testing AWS CI/CD pipelines in the cloud can be slow, error-prone, and hard to debug, especially when you're wrestling with IAM permissions or waiting on long feedback cycles. This session walks through how you can now emulate complete DevOps workflows locally using LocalStack.We cover recent additions to LocalStack that support new service providers such as: CodeBuild: Run build processes across different runtimes directly on your machine CodeDeploy: Emulate deployment steps without touching the real infrastructure CodePipeline: Create and test CI pipelines, transitions, and triggers locallyThrough a live demo, we’ll walk through a working example of a CI/CD pipeline — building a Rust project, deploying it, and running the pipeline stages — all without leaving your laptop.This session is useful for developers building or debugging AWS-native CI/CD workflows and looking for faster, more controlled ways to test them.

dbt (Data Build Tool) helps data engineers manage data transformations using modular SQL and brings version control, testing, and documentation to their transformation logic. However, running dbt against production data warehouses like Snowflake can be slow, expensive, and risky.This session introduces a new way to develop and test dbt workflows locally using the Snowflake emulator in LocalStack. You'll learn how to: Set up a local dbt environment Configure dbt to connect to the Snowflake emulator Run and validate dbt models locally without using a real Snowflake account Iterate quickly on transformations before pushing them to productionThrough a hands-on factory app example, we’ll walk through how to use the Snowflake emulator to run dbt models on your laptop, helping you test logic, catch issues early, and reduce cloud costs.

Running AI/ML workloads in the cloud can be expensive, opaque, and difficult to iterate on. LocalStack changes this by enabling engineers to develop and test AI-powered cloud applications entirely locally, emulating services like SageMaker, Bedrock, Redshift, and Snowflake.In this presentation, Waldemar Hummer, CTO of LocalStack, demonstrates how to prototype and validate AI & ML data pipelines safely and cost-effectively using LocalStack’s cloud emulators. You’ll see how to emulate complex AI workflows, test integrations, and use “vibe coding” techniques confidently in a fully sandboxed local environment.