RPC

Designing Data-Intensive Applications - Chapter 11 - Stream Processing

Designing Data-Intensive Applications - Chapter 11 - Stream Processing

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 11 discovers all aspects about Stream Processing. If your system needs to process some data on-the-fly then your DEV team should learn this info. Approaches for transmitting events: Direct messaging, Messaging Systems and Partitioned Logs.
Designing Data-Intensive Applications - Chapter 4 - Encoding and Evolution

Designing Data-Intensive Applications - Chapter 4 - Encoding and Evolution

Translations: RU
Earlier this year 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 4: What is evolvability. Backward and Forward compatibility Approaches to encode data: JSON, XML, and their binary variants Thrift and Protobuf Apache Avro Models of data flow Through databases Through services: REST, SOAP, RPC and the future Through message brokers - when they are better and when they are not Much more details in the mind-map: