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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Improving Networking in LocalStack

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.

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How to use AWS SDKs with LocalStack

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.

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How to save state in LocalStack?

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 allow you to save state in LocalStack: persistence, state export and import, and Cloud Pods.

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