Scaling your applications with Cloud SQL for MySQL

Опубликовано 11 апреля 2024, 4:00

Ready to take your MySQL applications to the next level? Join Debi Cabrera as she interviews Isabella Lubin, Senior Product Manager at Google Cloud, on how leading enterprises across diverse industries are leveraging Cloud SQL for MySQL to handle their most demanding workloads. Listen along as the team discusses advanced features of Cloud SQL Enterprise Plus, including innovations with vector search, improved performance/availability, and more!

Chapters:
0:00 - Meet Isabella
1:03 - Cloud SQL Enterprise Plus
2:16 - Cloud SQL best practices
3:05 - Vector search
4:04 - MySQL use cases
5:10 - Wrap up

Resources:
Isabella Lubin’s blog post about vector search → goo.gle/4aY3k6P
Cloud SQL for MySQL documentation → goo.gle/447kBbl
Learn more about sub-second downtime in Enterprise Plus → goo.gle/43YBGnU
Index advisor overview → goo.gle/3xAh35p
Use index advisor → goo.gle/49Ifxvc
Vertex AI Vector Search → goo.gle/442bWa5
Work with vector embeddings using Cloud SQL for MySQL → goo.gle/3Q2CCSo
Build LLM-powered applications using LangChain → goo.gle/3xwBnEu
Cloud SQL guide for vector store Github (Python) → goo.gle/3W57rd7

Watch more Cloud Next 2024 → goo.gle/Next-24
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

#GoogleCloudNext #GoogleGemini

Event: Google Cloud Next 2024
Speakers: Debi Cabrera, Isabella Lubin
Products Mentioned: Cloud SQL, Cloud SQL for MySQL, Vertex AI Vector Search, LangChain