How to build a scalable database architecture

Building scalable applications with Firestore → http://goo.gle/3aORjEf

Since Critter Junction has broken their application into different microservices, they can’t just use one tool to handle global consistency, batch processing, or other complex issues. By integrating Google Cloud database products, they can build a flexible and scalable database architecture for a multiplayer game. In this episode of Season of Scale, we walk you through the different database options Critter Junction uses - such as Firestore, Cloud Spanner, Memorystore, and more - to build a heterogeneous storage and analytics architecture that can span any industry.
Chapters:
0:00 - Intro
0:20 - Architecture needs
0:35 - Critter Junction needs
1:10 - Mixing and matching database needs
1:26 - Firestore
2:06 - Spanner
2:52 - Memorystore
3:27 - Bigtable
4:01 - BigQuery
4:41 - Overview of Architecture
5:19 - Conclusion

Watch more episodes of Spanner: Database Unlimited → https://goo.gle/SpannerDatabaseUnlimited ​
Watch more episodes of Season of Scale → https://goo.gle/SeasonofScale
Subscribe to get all the episodes as they come out → https://goo.gle/GCP

#SeasonofScale

Product: Memorystore, Cloud Firestore, Cloud Spanner, Bigtable, BigQuery; fullname: Jenny Brown, Stephanie Wong;

Видео How to build a scalable database architecture канала Google Cloud Tech