AI-Based Self-Healing Framework for Reliable and Resilient Data Pipelines

An AI-based self-healing framework for reliable and resilient data pipelines.

An AI-based self-healing framework for reliable and resilient data pipelines. It is offered as a reference project: a complete, worked example of how a system like this is designed, built and evaluated, so that a developer can study it, run it and learn from it.

It suits learners who want to run software the way production teams do: containers, automated pipelines, deployment, monitoring and rollback.

The main parts are containerised services, an automated build, test and deploy pipeline, monitoring and alerting, and safe rollback. The reference build uses Docker, Kubernetes, GitHub Actions, and Terraform, with a clear project structure, setup instructions and sample data so that it can be run and extended.