RPC

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. Their implementations, pros and cons.
• How to use Streams for databases. Sync databases, Change Data Capture (CDC), Event Sourcing. State, Streams, and Immutability.
• Nuances of Processing Streams. Useful use cases, reasoning about Time, 3 types of stream Joins, Fault Tolerance.

Download full mind map (PDF)

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: