EMEA Live Stream
summary
Change feed is used to pull changes from 80+ collections into Azure Functions that write blobs for Stream Analytics because Event Hubs can’t keep up; Functions scale to P2v2 with up to eight instances, duplicate deliveries occur, and restarting from scratch requires deleting lease documents — Synapse Link is awaited to read the analytical store instead. Serverless Cosmos DB is single‑region, 50 GB per container and a 5000 RU/s limit, best for unpredictable or back‑office loads. A sample chat app uses Ably for real‑time, stores channel metadata in Cosmos DB and message history in Blob Storage; local dev uses SWA CLI, Cosmos DB emulator and GitHub Codespaces. Graph workflows use Gremlin + Apache Airflow DAGs with containerized tasks and CI/CD; a data studio enables schema analysis, bulk edits, index advising and RU throttling (examples show index changes dropping RU cost from ~10 to ~3).
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chapters (9)
- 0:00Opening
- 0:26Meet your hosts Dileep Rao and Iria Osara
- 3:00Azure Cosmos DB Changefeed Tales from the Trenches with Regis Baccaro
- 30:00Azure Cosmos DB Serverless Unleashed with Mihail Mateev
- 57:33Building a Fully Featured Scalable Chat App with Marc Duiker
- 1:25:34Investigate Fraud with Azure Cosmos DB with Jean Villedieu
- 1:55:18Using Gremlin API and Apache Airflow to Facilitate Complex System Integrations with Jake Hattis
- 2:24:42Be Fast Like Your Database: Using Alpaqa Studio with Azure Cosmos DB with Tomasz Naumowicz
- 3:03:59Closing Remarks
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