微服务架构咨询和培训服务

本站点由 Chris Richardson 编写和维护,他是经典技术著作《POJOS IN ACTION》一书的作者,也是 cloudfoundry.com 最初的创始人。Chris 的研究领域包括 Spring、Scala、微服务架构设计、领域驱动设计、NoSQL 数据库、分布式数据管理、事件驱动的应用编程等。Chris 是一位连续创业者,eventuate.io 是他的最新创业项目,一个微服务应用和数据服务平台。

Chris 定期为企业提供微服务设计培训和实战项目的架构咨询服务。近年来 Chris 多次访问中国,为包括华为、SAP、惠普、东风汽车等大型企业提供微服务架构相关的技术咨询服务。如您希望与 Chris 深入交流,建立合作,请点击下方按钮跟他取得联系。

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微服务应用的示例代码

为了避免纸上谈兵,Chris 提供了一套与这些模式相关的示例代码。这组代码使用 eventuate 框架,实现了微服务架构下分布式数据的存取。请点击下方按钮访问。

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模式库

核心模式

服务拆分

部署模式

需要关注的边界问题

通讯模式

数据管理

安全模式

可测试性

可观测性

UI 模式


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Pattern: Service Instance per VM

Context

You have applied the Microservice architecture pattern and architected your system as a set of services. Each service is deployed as a set of service instances for throughput and availability.

Problem

How are services packaged and deployed?

Forces

  • Services are written using a variety of languages, frameworks, and framework versions
  • Each service consists of multiple service instances for throughput and availability
  • Service must be independently deployable and scalable
  • Service instances need to be isolated from one another
  • You need to be able to quickly build and deploy a service
  • You need to be able to constrain the resources (CPU and memory) consumed by a service
  • You need to monitor the behavior of each service instance
  • You want deployment to reliable
  • You must deploy the application as cost-effectively as possible

Solution

Package the service as a virtual machine image and deploy each service instance as a separate VM

Examples

  • Netflix packages each service as an EC2 AMI and deploys each service instance as a EC2 instance.

Resulting context

The benefits of this approach include:

  • Its straightforward to scale the service by increasing the number of instances. Amazon Autoscaling Groups can even do this automatically based on load.
  • The VM encapsulates the details of the technology used to build the service. All services are, for example, started and stopped in exactly the same way.
  • Each service instance is isolated
  • A VM imposes limits on the CPU and memory consumed by a service instance
  • IaaS solutions such as AWS provide a mature and feature rich infrastructure for deploying and managing virtual machines. For example,
    • Elastic Load Balancer -
    • Autoscaling groups

The drawbacks of this approach include:

  • Building a VM image is slow and time consuming

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