微服务既有同步实现，亦有异步实现。异步微服务架构以事件驱动，不受特定的API限制，系统的耦合度低，可扩展性强。本书教你从头开始构建完整的事件驱动型微服务架构，根据实际的业务需求调整、扩展微服务，更好地实践持续交付，并以新的视角思考如何充分利用实时数据的价值。
作者简介:
Adam Bellemare is a Staff Engineer, Data Platform at Flipp. He's held this position since 2017. He joined Flipp in 2014 as a senior developer at Flipp. Prior to that, he held positions in embedded software development and quality assurance. His expertise includes: Devops (Kafka, Spark, Mesos, Zookeeper Clusters. Programmatic Building, scaling, destroying); Technical Leadership ... Adam Bellemare is a Staff Engineer, Data Platform at Flipp. He's held this position since 2017. He joined Flipp in 2014 as a senior developer at Flipp. Prior to that, he held positions in embedded software development and quality assurance. His expertise includes: Devops (Kafka, Spark, Mesos, Zookeeper Clusters. Programmatic Building, scaling, destroying); Technical Leadership (Bringing Avro formatting to our data end-to-end, championing Kafka as the event-driven microservice bus, prototyping JRuby, Scala and Java Kafka clients and focusing on removing technical impediments to allow for product delivery); Software Development (Building microservices in Java and Scala using Spark and Kafka libraries); and Data Engineering (Reshaping the way that behavioral data is collected from user devices and shared with our Machine Learning, Billing and Analytics teams).
目录:
第 1 章 为什么用事件驱动型微服务 1
第 2 章 事件驱动型微服务基础 17
第 3 章 通信和数据契约 31
第 4 章 将事件驱动架构与现有系统集成 42
第 5 章 事件驱动处理基础 63
第 6 章 具有确定性的流处理 71
第 7 章 有状态的流 89
第 8 章 用微服务构建工作流 108
第 9 章 使用“函数即服务”的微服务 120
第 10 章 基础的生产者和消费者微服务 134
第 11 章 使用重量级框架的微服务 141
第 12 章 使用轻量级框架的微服务 158
第 13 章 集成事件驱动型和“请求–响应”型微服务 167
第 14 章 支持性工具 190
第 15 章 测试事件驱动型微服务 203
第 16 章 部署事件驱动型微服务 216
第 17 章 结论 225
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