How Far Should You Go When Testing a Distributed Database?
summary
Discussion of testing strategies for Platform V DataGrid, a distributed open-source database, focusing on how extensively to test it to ensure reliable use in Sber ecosystem services. Covers practical approaches the team uses to detect and prevent issues in production when integrating DataGrid into services.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 3:16Testing quality goals
- 5:01Regression testing
- 12:28Performance testing
- 16:46Real server testing
- 26:59Community collaboration
- 30:06Configuration guarantees
- 33:38Production consistency checks
- 41:30Open source benefits
- 42:58Q&A
related talks
24mDatabases beyond the tutorials
06mLightning talk: Testing Distributed Databases
24mTech Roundtable: Distributed SQL Around the World
46mMaintenance #HowInSber: Java DBMS in Critical Systems
18mEngineering Resilience at Scale; Lessons from a Distributed Systems Transformation
50mDistributed Replay Testing with Your Data, Your Way!
28mPractical Approaches To Scaling Distributed Transactions
27mScaling for Intelligence: Distributed SQL Databases in the Age of AI
