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Production LLM apps
Build, evaluate and ship a retrieval-augmented assistant that holds up in production.
Workshop · June 9
Real-time data pipelines
Stream, store and query millions of events per second with open-source tools.
Overview
Diego Alvarez builds a complete streaming pipeline with you: ingest, transform, store and visualise, all with open-source components.
You'll learn how to size each piece, avoid the classic back-pressure traps and keep costs sensible.
Highlights
Streaming ingest
Handle bursts without dropping events.
Transformations
Windowing, joins and late data.
Time-series storage
Compression and retention done right.
Live dashboards
Query fresh data in milliseconds.
What's included
- Laptop with Docker installed
- Sample datasets
- Complete pipeline repository
- Lunch and coffee
- Certificate of completion
- Recording access for 90 days
Agenda
Events, logs and the guarantees that matter.
Build the first half of the pipeline.
Time-series storage and fast queries.
Monitoring, scaling and cost.
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