Event-driven Data Pipelines with AWS Lambda, Prefect and GitHub Actions

Forget about sensors and DAGs. Run your flows based on events.

Anna Geller
6 min readAug 29, 2022

Prefect is a dataflow coordination plane designed for a highly dynamic and rapidly changing world. Your workflows don’t have to be scheduled unless they need to — you can run them from anywhere, at any time and scale, for any reason. This post will look at how to implement scheduled and event-driven data pipelines. We’ll demonstrate how you can deploy such workflows to AWS Lambda with the serverless framework and GitHub Actions and how you can orchestrate and observe their execution with Prefect.

Getting started

To get started, use the following repository template. It contains everything required to build and deploy event-driven serverless dataflows with Prefect and AWS Lambda, including flows, Dockerfiles, and Infrastructure as Code.

Build your event-driven dataflow with Prefect

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Anna Geller
Anna Geller

Written by Anna Geller

Data Engineering, AWS Cloud, Serverless & .py. Get my articles via email https://annageller.medium.com/subscribe YouTube: https://www.youtube.com/@anna__geller

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