LocalStack Community Meetups & Webinars

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

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.

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

LocalStack now provides enhanced support for running AWS services in Kubernetes environments. In this presentation from the LocalStack 4.0 community meetup by Simon Walker, we explore how to deploy and manage local AWS resources within Kubernetes clusters with LocalStack, to help developers maintain consistency between development and production environments.The session further covers LocalStack’s Kubernetes integration, including deployment via Helm charts, configuration of services like Lambda and RDS as Kubernetes pods, and networking between components. A demo illustrates provisioning a serverless application (Lambda functions interacting with a MySQL database) using Terraform, with all resources managed within a local Kubernetes cluster.You'll additionally learn the practical approaches for local testing and infrastructure emulation by moving from Docker to Kubernetes-native solutions as well as upcoming features, including broader service support and new container runtime options.## Resources- Documentation: https://docs.localstack.cloud/user-guide/localstack-enterprise/kubernetes-executor/- Get access: https://www.localstack.cloud/contact

Bedrock is a fully managed service provided by Amazon Web Services (AWS) that makes foundation models from various LLM providers accessible via an API. LocalStack allows you to use the Bedrock APIs to test and develop AI-powered applications in your local environment.In this video, Silvio showcases how LocalStack 4.0, with our new Bedrock support, is keeping up with advancements in Generative AI (GenAI) and large language Model (LLM) ecosystems. You'll learn what Amazon Bedrock is, the benefits of Bedrock emulation, and a live demo of how it works.## Resources- Documentation: https://docs.localstack.cloud/user-guide/aws/bedrock/- Get access: https://www.localstack.cloud/contact

In this session, Maximillian Hoheiser discussed developing & testing AWS Data Streaming with LocalStack! In this talk, he focused on Kinesis Data Firehose, an AWS service that allows you to extract, transform, and load streaming data into various destinations like Amazon S3.He dived into how to set up testing for Kinesis Firehose and seamlessly integrated it with other services using Boto3 and CDK/CloudFormation. Maximillian led a live demonstration, showcasing how to set up a practical business case, implement it, and rigorously test it using LocalStack.