Learn to build and develop AWS Lambda functions locally with Docker

Welcome to Daemon Labs! Join us for an interactive workshop to dive into the world of technology, innovation, and creativity as we explore the latest trends in the industry. We'll kick things off with pizza 🍕 and have drinks/beers🍺 available throughout the evening. Get ready to unleash your imagination and collaborate with like-minded individuals. Don't miss out on this exciting opportunity to learn, connect, and have fun!

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This hands-on workshop is for developers who want to get started with serverless without the complexity of cloud deployments. We’ll focus on the essential skill of local development and testing. Using Docker and a simple Node/TypeScript project, you’ll learn how to build, test, and debug your Lambda functions on your own machine. This approach simplifies the development workflow, reduces iteration time, and helps you avoid costly mistakes in the cloud.

While we'll be focusing on a Node/TypeScript Lambda, these concepts can be duplicated for almost all Lambda runtimes.

Info: This is the warm-up and preparation phase. As you arrive, you’ll have a chance to mingle with other attendees and get your laptop set up. We'll have a quick checkpoint to ensure you have the lab repository cloned and are ready to start the main session on time.

Info: This is where we lay the groundwork. We'll start with a brief, high-level overview of the problem we're solving and the solution we'll be building. We'll outline the tools we're using and why they're the right choice for the job. You'll understand the "why" before we get to the "how."

Info: This is the core, hands-on part of the workshop. Using a standardised environment, you'll code along with us as we build the project piece-by-piece. Our Lab Assistants will be on hand to help you troubleshoot and ensure you keep up with the pace. This is where you'll get your hands dirty and bring the plan to life.

Info: We'll wrap up the session by validating our work. We'll review the project we've built, confirm that it works as expected, and discuss what we've learned. You'll leave with a tangible project, new skills, and a clear path for continued learning.

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