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.
Want to modernize your CI/CD workflows? 🚀 In this session, Jason McCallister introduces Dagger, the open-source programmable CI/CD engine that’s redefining how we build, test, and ship software. You'll learn what makes Dagger different from traditional CI/CD tools, how to write pipelines as code and run them locally, how to compose reusable, testable pipeline components, real-world examples of solving CI headaches with Dagger, and integration tips with Docker, Kubernetes, and beyond. Whether you’re a DevOps pro, platform engineer, or just tired of brittle YAML, this talk will show you how Dagger helps you ship faster and smarter.
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; and providing modular examples that can be deployed to AWS or LocalStack with ease, enabling developers to explore libraries.
