Stream

Building Event-Driven Microservices - Chapter 12 - Lightweight Framework Microservices

Building Event-Driven Microservices - Chapter 12 - Lightweight Framework Microservices

Translations: RU
The 4th pattern to build microservices is to use Lightweight Frameworks. Lightweight Frameworks provide similar functionality to Heavyweight Frameworks, but they heavily rely on: the event broker the container management system (CMS) In many cases they exceed Heavyweight Frameworks. Different apps can use any/different resources from the cluster which are better fit their needs. While still provide Scaling and Recovering from Failures (again by heavily relying on event broker and CMS).
Building Event-Driven Microservices - Chapter 3 - Communication and Data Contracts

Building Event-Driven Microservices - Chapter 3 - Communication and Data Contracts

Translations: RU
The Event-Driven model heavily relies on the QUALITY of events. Good quality events are: explicitly defined via contracts have comments support evolution with backward and forward compatibility support code generation breaking changes are well thought Good events are implemented using the right tools: use Avro/Thrift/Protobuf formats and never use JSON! use the right event broker (such as Pulsar) Good events are designed to: contain all the info needed by consumers use separate streams for each event type use the right data types for their fields (don’t use string for numbers, use enums, etc.
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.