CAP Theorem

Key-Value stores are the most basic but widely used data storages. Design of key-value store consists of understanding the following topics: What do we want from key-value store? Single server key-value store DISTRIBUTED key-value store: CAP theorem Real-world trade-offs for distributed systems System components: Data partition Data replication Consistency Inconsistency resolution: Versioning Handling all types of failures: Failure detection, Handling TEMPORARY failures, Handling PERMANENT failures, Handling data center outage System architecture diagram Write path Read path These items are disclosed in a very interesting Chapter 6 of the book:

Earlier the book club of our company has studied excellent book: Martin Kleppmann - Designing Data-Intensive Applications This is the best book I have read about building complex scalable software systems. 💪 As usually I prepared an overview and mind-map. Chapter 9 tells about Consistency and Consensus in distributed systems. It covers the following topics: What is consistency and eventual consistency Linearizability. Why it is needed. Difference from Serializability.