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CAP stated honestly, and the dial you actually turn every day. Why partition key design is the whole game, Cosmos DB's five ...

Facebook had a problem. Its user base was exploding, messages were pouring into Inbox Search, and the database underneath ...

Lecture 5 of Designing Data-Intensive Applications, Explained in Java · Part 1: Trade-Offs in Data Systems Architecture.

Lecture 69 of Designing Data-Intensive Applications, Explained in Java · Part 8: Transactions. In this lecture • A message queue ...

Lecture 68 of Designing Data-Intensive Applications, Explained in Java · Part 8: Transactions. In this lecture • Distributed ...

When distributed systems crash in production, it is almost never because a server vanished into thin air. It's because one slow ...

If you want to ace your next system design interview or get promoted to a senior role, you need to master system design.

How do vector databases make similarity search fast? We build from embeddings and nearest-neighbor search to HNSW, filters, ...

How do you scale a database as your application grows? In this video, we break down three important database scaling ...

... is difficult now let's imagine databases are distributed globally let's say one database lives in India another lives in United States ...

Lecture 83 of Designing Data-Intensive Applications, Explained in Java · Part 10: Consistency and Consensus. In this lecture • A ...

In this tutorial, we'll explore how consistent hashing works, why simple modulo-based hashing can cause problems when servers ...