Develop and test your AI-powered cloud apps locally with LocalStack

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.

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Testing CloudWatch metric alarms with LocalStack

LocalStack is a cloud service emulator designed for local development and testing of cloud applications. With LocalStack, you can test AWS CloudWatch metric alarms, to get notified on infrastructure failures — all on your local machine! In this video, you will learn how you can use a CloudWatch metric alarm to get notified automatically when your Lambda function invocations fail. You will also set up an email notification using the Simple Email Service (SES) and our Mailhog extension.

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Testing Cloud Apps Shouldn't Be This Hard

Testing in the cloud = slow builds, fragile staging, surprise bills. Let’s talk about how developers are flipping the script and using local cloud environments to test smarter, faster, and cheaper without breaking production. Bonus: You’ll learn how LocalStack lets you simulate AWS on your machine. Game changer.

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Test Your Cloud Workflows Locally Like a Boss

Why wait for the cloud to test your app? In this episode, we’ll write and run an integration test to validate our LocalStack app. You’ll learn how to upload a file, trigger the Lambda-SQS-DynamoDB flow, and assert the results all locally.

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