Managing Databases in the Cloud in Broken
summary
Platform that observes and automates across hundreds of RDS Postgres/MySQL instances, spotting fleet-wide slow queries and CPU/IO spikes and enforcing fixes in real time. Deploys as a SQL client or optional proxy, can kill group of queries, throttle by user/function, and apply table-based invalidation caching with no code changes. Case study: Trax cuts RDS spend by over $1M/year after rules drop CPU baseline from ~40% to ~10–12% and avoid 100% outages. Natural-language Rapido Scout AI generates SQL to surface and act on issues and aims to reduce MTTR close to detection.
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chapters (7)
- 0:00Introduction and Speaker Background
- 0:36Challenges in Managing Multiple Databases
- 3:49The Problem with ORM-Generated Queries
- 7:39Case Study: Trax's Database Management
- 11:18Live Demo: Rapido's Features and Capabilities
- 22:49Introducing Rapido Scout AI
- 27:39Q&A Session
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