APAC Live Stream
summary
Regional livestream stitches customer case studies and migrations into concrete numbers and tactics: a customer 360 API serves millions of users with Cosmos DB point reads under 5 ms and about 50 million calls/day, using auto-scale and a rotating-container ingest pattern to avoid write blocking; a startup runs serverless Azure Functions + Cosmos handling ~17 million requests/month across ~3.3M documents; migrations cover Flink+Kafka→Cosmos Cassandra API (SSL, RU tuning, retry policies), change‑feed→Event Grid→WebPubSub for real‑time chat, and MariaDB/Mongo graph→Gremlin with partitioning and execution‑profile tuning.
AI-written summary · about
chapters (10)
- 0:00Opening
- 0:15Meet your hosts Shweta Nayak and Sajeetharan Sinnathurai
- 2:32Serving Customer Data with Azure Cosmos DB with Heber Ng
- 26:36A Startup's Infrastructure - How to Make Scaling a Sales, Not a Tech Issue with David O'Brien
- 1:03:40Migrating Apache Flink Data Pipelines to Write to Azure Cosmos DB (Cassandra API) with Sindhu S Chandran
- 1:30:08Modeling Your Azure Cosmos DB Data
- 1:32:30Real-time Cosmic Chat with Divakar Kumar
- 2:01:51Hearing about Azure Cosmos DB to Building a Full Stack Web App in a Month using Azure Cosmos DB with Rajdeep Sengupta
- 2:25:50Migrating Graph from a (MariaDB & MongoDB) Solution to Azure Cosmos DB's Gremlin API with Subhasish Ghosh
- 2:57:01Closing Remarks
related talks
01h 02mAzure Cosmos DB - Low Latency and High Availability at Planet Scale
45mGetting the Most from NoSQL in the Cloud with Azure Cosmos DB
14mPower real-time data streams from anywhere to Cosmos DB with Confluent
02h 02mAzure Cosmos DB: Liftoff
01h 02mThe Modern Cloud
27mIntegrating Azure Cosmos DB with the Azure Ecosystem
20mPost-Americas Livestream Wrap Up
35mConvergence of Serverless APIs & Compute
