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Unveiling a Data Management System Reinforced by Prefect, AWS, and GitHub Actions

Building the Next Level for Local Prefect Workflows: This Github project automates the provisioning of AWS and Prefect Cloud infrastructure, utilizing Github Actions as a key component, thereby implementing a sophisticated dataflow management system using Prefect and AWS. In a nutshell, the...

Integrating a Dataflow Management System Supported by Prefect, Amazon Web Services (AWS), and...
Integrating a Dataflow Management System Supported by Prefect, Amazon Web Services (AWS), and GitHub Actions

Unveiling a Data Management System Reinforced by Prefect, AWS, and GitHub Actions

The "dataflow-automation-infra" project, designed to automate the deployment of a dataflow management system powered by Prefect and AWS, has evolved to offer more than just a reusable workflow registration tool. It now serves as a starting point for teams aiming to execute workflows on AWS and manage them through Prefect Cloud.

The project's deployment process is fully automated, with all features being tested through automatically triggered Github Actions pipelines. This ensures a smooth and reliable deployment every time.

The AWS environment(s) for workflow execution currently utilise the serverless Elastic Container Service (ECS) with Fargate, requiring no management. This means teams can focus on their workflows rather than worrying about the underlying infrastructure.

The heart of the system is the Prefect Agent, which bridges communication between cloud execution environments and Prefect Cloud. The agent runs on ECS Fargate with the ECS Agent type.

The project sets up a dataflow management system that can execute workflows on AWS. It comes with three main features: automation of creation of execution environments on AWS, automation of deployment, and automated testing. This streamlined approach makes it easy for teams to get started with dataflow management on AWS.

The project also offers a custom action in Github Actions' marketplace for centralised and reusable workflow registration with Prefect Cloud. Additionally, Github Actions expose a reusable interface for the same purpose.

As the project continues to grow, it may extend to offer multiple configurations for production use cases. There's even potential for the addition of a Kubernetes environment in the future.

The project's current state is good, with detailed deployment steps available in the README file for anyone wanting to try it out. It welcomes feedback and contributions, making it a collaborative effort towards better dataflow management.

So, if you're looking to simplify your dataflow management on AWS, give "dataflow-automation-infra" a try. With its automation capabilities, streamlined setup, and welcoming community, it's the perfect starting point for your team.

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