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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
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This repository provides a working, deployable, open source-based, serverless service blueprint with an AWS Lambda function and AWS CDK Python code with all the best practices and a complete CI/CD pipeline.
| Date | Stars |
|---|---|
| 2026-07-24 | 679 |
| 2026-07-25 | 679 |
| 2026-07-28 | 679 |
| 2026-07-30 | 679 |
| 2026-08-06 | 679 |
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Momentum
15.0
growth rate 0.00%/day
# AWS Lambda Handler Cookbook (Python) [](https://github.com/ran-isenberg/aws-lambda-handler-cookbook/blob/master/LICENSE)  [](https://codecov.io/github/ran-isenberg/aws-lambda-handler-cookbook)      This project provides a working, open source based, AWS Lambda handler skeleton Python code includingx DEPLOYMENT code with CDK and a pipeline. This project can serve as a blueprint for new Serverless services - CDK deployment code, pipeline and handler are covered. **[📜Documentation](https://ran-isenberg.github.io/aws-lambda-handler-cookbook/)** | **[Blogs website](https://ranthebuilder.cloud/)** > **Contact details | mailto:[email protected]** [](https://twitter.com/RanBuilder) [](https://ranthebuilder.cloud/) ## AWS Recommendation This repository was recommended in an AWS blog post [Best practices for accelerating development with serverless blueprints](https://aws.amazon.com/blogs/infrastructure-and-automation/best-practices-for-accelerating-development-with-serverless-blueprints/)  ## Concepts I spoke at AWS re:invent 2023 with Heitor Lessa, former Chief Architect of Powertools for AWS Lambda about the concepts I implemented in this project. [](https://www.youtube.com/watch?v=52W3Qyg242Y) ## Getting Started You can start with a clean service out of this blueprint repository without using the 'Template' button on GitHub. You can use Cookiecutter. * Cookiecutter - install with pip/brew ``brew install cookiecutter`` or ``pip install cookiecutter`` Then run: ```bash cookiecutter gh:ran-isenberg/cookiecutter-serverless-python ``` Answer the questions to select repo name, service name, etc.:  **That's it, your developer environment has been set! you are ready to deploy the service:** ```bash cd {new repo folder} uv sync make deploy ``` Make sure you have [uv](https://docs.astral.sh/uv/) installed. You can also run 'make pr' will run all checks, synth, file formatters , unit tests, deploy to AWS and run integration and E2E tests. ## **The Problem** Starting a Serverless service can be overwhelming. You need to figure out many questions and challenges that have nothing to do with your business domain: * How to deploy to the cloud? What IAC framework do you choose? * How to write a SaaS-oriented CI/CD pipeline? What does it need to contain? * How do you handle observability, logging, tracing, metrics? * How do you write a Lambda function? * How do you handle testing? * What makes an AWS Lambda handler resilient, traceable, and easy to maintain? How do you write such a code? ## **The Solution** This project aims to reduce cognitive load and answer these questions for you by providing a skeleton Pyth
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Ran Isenberg · Palo Alto Networks · Israel
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Alexander Schueren · @aws · Germany
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:43d0aaf9ca749ab5, topic:serverless