Cloud-first development kills your inner dev loop. There's a better way.TypeDB on AWS is powerful — Lambda functions querying complex relationship hierarchies, recursive schema functions resolving transitive memberships, all without application logic. But iterating on schemas and queries in the cloud is slow and expensive.Harsh Mishra introduces the TypeDB extension for LocalStack: run a fully functional TypeDB server inside your local AWS environment and connect your app exactly as you would in production. Faster iteration, zero unnecessary spend.

Simulate Microservices, Cloud Services, and Everything Else with WireMock

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Local Debugging for Lambda Functions via new Lambda Debug Mode

Debugging serverless functions has always been challenging, often requiring repeated invocations, extensive log tracing, and cloud deployments to diagnose an issue. The new Lambda Debug Mode in LocalStack changes this by allowing developers to debug AWS Lambda functions directly in their IDE, with breakpoints, variable inspection, and step-through execution, without leaving their local environment.In this presentation, Marco Edoardo Palma provides a hands-on demo of Lambda Debug Mode—from debugging standalone functions to handling multi-function workflows. Learn how this developer-first approach makes debugging serverless applications faster, smoother, and more intuitive.## Resources- Documentation: https://docs.localstack.cloud/user-guide/lambda-tools/debugging/#lambda-debug-mode-preview- Samples: https://github.com/localstack-samples/localstack-pro-samples/tree/master/lambda-debug-mode

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Serverless Best Practices with AWS Lambda PowerTools

For one-off tasks, AWS Lambda really can be incredibly easy. You write a few lines of code, deploy it, and you have a function running in the cloud ready to respond to events, scale automatically, and that only costs you pennies.But as your application grows, so does some necessary complexity. When a few one-off functions become a full serverless backend architecture made up of interconnected services, you’ll need to pay careful attention to best practices to ensure that your application is easy to debug, maintain, and scale.That’s where AWS Powertools for Lambda fits in. It’s a suite of reusable utilities designed to simplify bringing best practices around things like logging, tracing, metrics, idempotency and more to your Lambda functions with minimal effort.This demo session will dive into some of the functionality provided by the AWS Powertools (TypeScript) core libraries, such as:Encapsulating best practices into reusable libraries for structured logging, metrics collection, idempotency, and more.Leveraging Middy middleware to integrate common cross-cutting concerns, such as injecting Lambda context or automatically flushing metric.Enabling local testing with LocalStack, allowing you to deploy and debug Lambda functions with structured logs, trace data, and embedded metrics.Providing modular examples that can be deployed to AWS or LocalStack with ease, enabling developers to explore libraries.

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Simulating outages with LocalStack Chaos API

LocalStack Chaos API enables you to simulate outages in any AWS region or service. Chaos API provides an easy way to implement chaos engineering experiments to test a wide variety of simulated outages and failures within your application safely, without impacting your production users.Common examples can include:- Region-wide outages- DNS failovers- Service failures- Network faultsAll the testing scenarios described above can be executed within LocalStack, providing thorough coverage for critical situations in a matter of minutes rather than hours or days.In this presentation by Viren Nadkarni, we explore how Chaos API is leveraged to perform service failures in a local environment while using robust error handling to address and mitigate such issues.## Resources- Documentation: https://docs.localstack.cloud/user-guide/chaos-engineering/chaos-api/- Get access: https://www.localstack.cloud/contact

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