Related Talks
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.
Get started with LocalStack in minutes! In this episode, we’ll clone a ready-to-go AWS sample app, spin up LocalStack, and run everything locally without a cloud account. By the end, you’ll have a fully functional event-driven app running on your machine.📖 Want more?Check out the companion blog post for a deeper breakdown of the architecture, project structure, and all the commands you’ll need to run it yourself.🔗 https://blog.localstack.cloud/why-i-run-my-serverless-apps-locally/
This is where it all comes together.CI/CD lets dev teams ship code automatically — but only if your pipeline is built to handle the cloud.In this episode, I show you how local testing + automated deployment = cloud apps that ship faster, safer, and smarter.Stick around to the end, this is the final episode of WTH is the Cloud?!
Launch yourself in the world of local cloud development
