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https://github.com/ciro-maciel/spamguard-mlops

MLOps template with DVC for data versioning and MLflow for experiment tracking/model registry; train → metric‑gated promotion → serving, CI/CD, Docker/K8s.
https://github.com/ciro-maciel/spamguard-mlops

ai ai-engineering ci-cd docker dvs kubernetes mlflow mlops process software-engineering

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MLOps template with DVC for data versioning and MLflow for experiment tracking/model registry; train → metric‑gated promotion → serving, CI/CD, Docker/K8s.

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# SpamGuard MLOps — Landing

This repository highlights two complementary tracks of my MLOps skill set:

- Concepts (baseline): principles, architecture decisions, and end-to-end flow.
Branch: mlops-concepts

- Market tools: DVC (data versioning) + MLflow (experiment tracking/model registry),
hardened CI/CD and containerized deployment.
Branch: mlops-market-tools

How to use:

- Read this overview and pick the track you’re interested in.
- Each branch has its own README with Quickstart, decisions, and trade-offs.

What you’ll see:

- Train → metric-gated promotion → serving
- Versioned artifacts, schema migrations (Drizzle/SQLite)
- GitHub Actions CI/CD
- Docker/Compose and K8s manifests (portability)
- DVC and MLflow in the market-tools track

Quick links:

- Concepts: https://github.com/ciro-maciel/spamguard-mlops/tree/mlops-concepts
- Market tools: https://github.com/ciro-maciel/spamguard-mlops/tree/mlops-market-tools

## About this repository

This main branch is intentionally a minimal landing page. All runnable code, documentation, and CI live in the dedicated branches above.

Explore the branches:

- Concepts: https://github.com/ciro-maciel/spamguard-mlops/tree/mlops-concepts
- Market tools: https://github.com/ciro-maciel/spamguard-mlops/tree/mlops-market-tools

## Notes

This landing branch does not contain runnable code. For hands-on instructions, Quickstarts, and deployment, open one of the branches linked above.