How to build a scalable database architecture

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

#SeasonofScale

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

[BryonDreese]

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[siluetiona]

Great explanation @Jenny Brown, Thank you !

[stevenzhang]

Google is the best making tutorial video

[Kaslor]

So much vendor lock-in... I'll stick to open-source.