A journey through Cosmos to understand users
summary
Covers why InMobi chose Azure Cosmos DB for a user-inference backend, the cost drivers and design pitfalls when using Cosmos DB, and techniques to reduce cost and add auto-scalability. Explains implementing multi-version concurrency control to allow parallel writes with multiple schema versions, and describes an Avro-based approach for in-flight abbreviated compression to balance readability against storage cost.
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chapters (9)
- 0:00Start
- 1:42Customer Data Platform
- 3:50Rationale
- 5:20Document Size
- 6:58Data modelling
- 9:00Provisioning skew
- 12:27Document compression
- 13:14Multiversion Concurrency Control
- 15:20Avinash Ramakanth
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