Latest Cap-Theorem Articles

Recently Added Cap-Theorem Articles

Consistency in System Design

Consistency in system design describes how fresh and correct data should be when users, services, or replicas read it after a write. Some systems require every read to reflect the latest committed value, while others can tolerate stale data for better latency, availability, or scalability.

Nov 12, 2025 1 consistency cap-theorem

CAP Theorem in Practice (Structured Overview)

CAP Theorem in Practice (Structured Overview)

CP systems guarantee that all nodes maintain a consistent state even during partitions, but they reject or delay requests when coordination cannot be achieved. This is typically implemented using quorum-based replication or consensus protocols that require agreement before committing writes.

Apr 20 1 cap-theorem

CAP Theorem: Practical Trade-Offs and Real-World Examples

CAP Theorem: Practical Trade-Offs and Real-World Examples

The CAP theorem describes a fundamental constraint in distributed data systems : during a network partition, a system cannot guarantee both strong consistency and full availability for every request.

Jul 18 distributed-systems cap-theorem real-world-examples

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