Rebuilding my 2024 PyDay BCN ML orchestration workshop
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@MGijon is already working on this.
Since Sep 14, 2026.
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Public talk / workshop
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- Dominant language
- Python
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Description
Goal
Rebuild the ML orchestration workshop I gave at PyDay BCN in 2024 using a production ready architecture.
Here the repository with the original material!
Original
- Kestra
- MLflow
- Python
- Docker (docker-compose)
- Kaggle API
2026 version
- Kestra vs Airflow vs ... reference
- MLflow
- ETLs
- PostgreSQL
- Object storage?
- Kubernetes
- Observability
- CI/CD
- Model serving
Questions
- What did I oversimplify in the original workshop?
- What breaks when workflows become concurrent?
- How should retries work?
- How should artifacts be versioned?
- How should models be promoted?
- What belongs in the orchestrator vs ML platform?
- ...
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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