Apr 7 · 7 min read · As modern applications grow, they often move beyond a single database server. Systems that once served a few thousand users may eventually need to support millions of requests across different regions
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Apr 6 · 8 min read · In the world of distributed systems, scalability, availability, and consistency are paramount. For years, the CAP theorem provided a foundational understanding of the trade-offs involved. However, as
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Apr 5 · 7 min read · TLDR: Database selection is a trade-off between consistency, availability, and scalability. By using the CAP Theorem as a compass and matching your data access patterns to the right storage engine (Re
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Apr 5 · 25 min read · TLDR: Cosmos DB offers five consistency levels — Strong, Bounded Staleness, Session, Consistent Prefix, Eventual — each with precise, non-obvious internal mechanics. Session does not mean HTTP session
Join discussionMar 8 · 8 min read · In the realm of distributed systems, the CAP Theorem is a fundamental principle that every system designer must understand. It states that a distributed data store cannot simultaneously guarantee Cons
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