Zookeeper

Designing Data-Intensive Applications - Chapter 9 - Consistency and Consensus

Designing Data-Intensive Applications - Chapter 9 - Consistency and Consensus

Translations: RU
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.
Designing Data-Intensive Applications - Chapter 6 - Partitioning

Designing Data-Intensive Applications - Chapter 6 - Partitioning

Translations: RU
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 6 contains everything the DEV team should consider when designing storage for big data: Partition aka Shard aka Region aka Tablet aka vNode aka vBucket. It is another approach for storing the data in addition to Replication (reviewed in the previous chapter) How to partition key-value data (primary index).