Kafka

Building Event-Driven Microservices - Chapter 14 - Supportive Tooling

Building Event-Driven Microservices - Chapter 14 - Supportive Tooling

Translations: RU
Quite often the tooling is a forgotten area during the beginning of development. This chapter overlooks the tooling that can help build and maintain event-driven microservices. Useful checklist! This topic includes: Org rules Documentation, tagging Quotas Schema registry Offset management ACL State management and app reset Consumer offset lag monitoring Container Management Controls Cluster Creation and Management Dependency Tracking All of these is disclosed in the Chapter 14 of the book:
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.
Travel Industry B2B/B2C solution

Travel Industry B2B/B2C solution

🚆✈️🚌🛳 + Math + Highload + Machine Learning… Two and a half years ago we’ve got a request from the Travel-business IT company, whose B2C IT solution is the basis for one of the world’s largest travel companies that serves over 1 billion passengers every year. What did they want to achieve? They wanted to quickly design and implement an “internal startup” - an innovative B2B/B2C solution for the travel industry.