Loading...
Live webinarProduction EngineeringFastAPIDeployment
From Jupyter notebook to a real production service
Your notebook is not a product yet. Here is how it becomes one.
Param Harrison
Cofounder, AEOsome.com · Chief Mentor, learnwithparam.com
60 minutes · beginner
About this session
Why this one matters
The gap between "it works in the notebook" and "it runs in production" is where most engineers get stuck. This session shows the path: extract the logic, wrap it in a service, handle requests concurrently, deploy it behind HTTPS, and make it observable enough to debug. You leave with a template service you can reuse, and the confidence to turn the next notebook you write into something real.
Who should watch
- Engineers and data folks whose work lives in notebooks and wants to ship
- Beginners moving from tutorials to shipping their first real backend
- Teams trying to productionize a research prototype this quarter
Topics we'll cover
What's on the menu
- Extract logic out of cells without breaking it
- Wrap it in an API that concurrent requests do not break
- Package, ship, and run it behind HTTPS
- Logging, metrics, and enough observability to debug in prod
- A reusable service template you can carry to the next notebook
What you'll walk away with
Leave with a blueprint
- Turn notebook logic into a service that handles concurrent traffic
- Build a request pipeline that validates input and errors cleanly
- Package and ship the service to a real host behind HTTPS
- Instrument it with logs and metrics you will use when it breaks at 3am
- Walk out with a service template you can reuse on your next project