185: Workflow Orchestrators
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Narrado por:
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De:
Sobre este título
Intro topic: Asymmetric Returns
News/Links:
- NanoChat by Andrej Karpathy
- https://github.com/karpathy/nanochat
- Pydantic AI
- https://www.marktechpost.com/2025/03/25/pydanticai-advancing-generative-ai-agent-development-through-intelligent-framework-design/
- 1000th Starlink this year
- https://spaceflightnow.com/2025/05/16/live-coverage-spacex-plans-morning-launch-of-starlink-satellites-from-california/
- ChatGPT Apps SDK
- https://openai.com/index/introducing-apps-in-chatgpt/
- https://openai.com/index/introducing-apps-in-chatgpt/
Book of the Show
- Patrick
- The Will of the Many by James Islington
- https://amzn.to/43IfU8Q
- The Will of the Many by James Islington
- Jason
- Interview with DHH (Founder of Ruby on Rails)
- https://www.youtube.com/watch?v=vagyIcmIGOQ
- https://www.youtube.com/watch?v=vagyIcmIGOQ
- Interview with DHH (Founder of Ruby on Rails)
Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h
Tool of the Show
- Patrick
- Factorio
- https://www.factorio.com/
- Factorio
- Jason
- nip.io
Topic: Workflow Orchestrators
- Why
- Batch jobs (embarrassingly parallel)
- Long-running tasks (e.g. transcoding video)
- Checkpointing/resuming
- How
- Message Queues
- Containerization
- Worker Pools & Autoscaling
- History & Backfill
- Steps to run workflows:
- Containerize the workflow definition and send to the cloud
- Containerize all the individual tasks
- Submit job(s)
- Examples
- Airflow
- Legacy but dominant
- Dagster
- Great UX for python developers
- Temporal: https://temporal.io/
- The new hotness
- Ray
- Low-level but very powerful
- Kubeflow
- Designed for ML workflows, integrated dashboard
- Airflow
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