Scaling your applications with Cloud SQL for MySQL
summary
Cloud SQL for MySQL Enterprise Plus now supports subsecond downtime for planned maintenance and live vCPU scaling, and data cache shows up to 3x read throughput for read‑heavy workloads. Vector storage and approximate nearest neighbor search run directly in MySQL—public preview—with Manhattan Associates using it for documentation search, and a LangChain integration and Colab show end‑to‑end embedding + query pipelines. Index Advisor and Query Insights provide concrete index and query fixes.
AI-written summary · about
chapters (6)
- 0:00Meet Isabella
- 1:03Cloud SQL Enterprise Plus
- 2:16Cloud SQL best practices
- 3:05Vector search
- 4:04MySQL use cases
- 5:10Wrap up
related talks
46mPower the next generation of AI apps with databases at scale anywhere
30mSolving MySQL Scalability with Adaptive IO
35mState of the Dolphin
30mMySQL Database Service, HeatWave, and Autopilot
33mBringing Vector Search to OLTP
27mDistributed MySQL Architectures: Past, Present and Future
27mScaling for Intelligence: Distributed SQL Databases in the Age of AI
19mDo You Believe in Magic?
