From 157e3a8664b389994681588ddbf66e9083abf576 Mon Sep 17 00:00:00 2001 From: "imgbot[bot]" Date: Fri, 19 Jun 2020 06:33:32 +0000 Subject: [PATCH] deploy: 3234ce689bec207551b071a6cf5d8327f644b69b --- cloud-native/application-scope.html | 4 +- cloud-native/cloud-native-definition.html | 4 +- .../cloud-native-local-quick-start.html | 18 ++++----- cloud-native/cloud-native-philosophy.html | 4 +- ...native-programming-language-ballerina.html | 16 ++++---- ...ud-native-programming-language-pulumi.html | 6 +-- .../cloud-native-programming-languages.html | 4 +- cloud-native/component.html | 4 +- cloud-native/define-cloud-native-app.html | 8 ++-- .../from-kubernetes-to-cloud-native.html | 38 +++++++++--------- ...ernetes-and-cloud-native-app-overview.html | 36 ++++++++--------- cloud-native/play-with-kubernetes.html | 6 +-- ...up-kubernetes-with-rancher-and-aliyun.html | 10 ++--- cloud-native/the-future-of-cloud-native.html | 36 ++++++++--------- cloud-native/trait.html | 4 +- cloud-native/workload.html | 4 +- images/cloud-native-app-model.png | Bin 82236 -> 57262 bytes images/roles.png | Bin 83860 -> 64385 bytes index.html | 14 +++---- 19 files changed, 108 insertions(+), 108 deletions(-) diff --git a/cloud-native/application-scope.html b/cloud-native/application-scope.html index 911d590a3..0f2109744 100644 --- a/cloud-native/application-scope.html +++ b/cloud-native/application-scope.html @@ -4606,7 +4606,7 @@
  • The Open Application Model specification - github.com
    • @@ -4650,7 +4650,7 @@ diff --git a/cloud-native/cloud-native-definition.html b/cloud-native/cloud-native-definition.html index a575cf67d..ca999e4b7 100644 --- a/cloud-native/cloud-native-definition.html +++ b/cloud-native/cloud-native-definition.html @@ -4612,7 +4612,7 @@
  • CNCF Cloud Native Definition v1.0 - github.com
    • @@ -4656,7 +4656,7 @@ diff --git a/cloud-native/cloud-native-local-quick-start.html b/cloud-native/cloud-native-local-quick-start.html index 23f27c8b0..05929cee3 100644 --- a/cloud-native/cloud-native-local-quick-start.html +++ b/cloud-native/cloud-native-local-quick-start.html @@ -4678,7 +4678,7 @@ kubectl get nodes 
    kubectl -n kube-system describe secret `kubectl -n kube-system get secret|grep admin-token|cut -d " " -f1`|grep "token:"|tr -s " "|cut -d " " -f2

    注意：token的值也可以在vagrant up的日志的最后看到。

    -
    Kubernetes dashboard
    图片 - Kubernetes dashboard
    +
    Kubernetes dashboard
    图片 - Kubernetes dashboard

    Heapster监控

    创建Heapster监控：

    kubectl apply -f addon/heapster/
@@ -4688,7 +4688,7 @@ kubectl get nodes
 
    172.17.8.102 grafana.jimmysong.io
 
    
 
    访问Grafana：http://grafana.jimmysong.io
    
-
    Grafana
    图片 - Grafana
    
+
    Grafana
    图片 - Grafana
    
 
    Traefik
    
 
    部署Traefik ingress controller和增加ingress配置：
    
 
    kubectl apply -f addon/traefik-ingress
@@ -4697,7 +4697,7 @@ kubectl get nodes
 
    172.17.8.102 traefik.jimmysong.io
 
    
 
    访问Traefik UI：http://traefik.jimmysong.io
    
-
    Traefik dashboard
    图片 - Traefik dashboard
    
+
    Traefik dashboard
    图片 - Traefik dashboard
    
 
    EFK
    
 
    使用EFK做日志收集。
    
 
    kubectl apply -f addon/efk/
@@ -4747,7 +4747,7 @@ istioctl create -f yaml/istio-bookinfo/bookinfo-gateway.yaml
 
 
 
    注意：JAEGER_PORT可以通过kubectl -n istio-system get svc tracing -o jsonpath='{.spec.ports[0].nodePort}'获取，GATEWAY_PORT可以通过kubectl -n istio-system get svc istio-ingressgateway -o jsonpath='{.spec.ports[0].nodePort}'获取。
    
-
    bookinfo示例
    图片 - bookinfo示例
    
+
    bookinfo示例
    图片 - bookinfo示例
    
 
    Vistio
    
 
    Vizceral是Netflix发布的一个开源项目，用于近乎实时地监控应用程序和集群之间的网络流量。Vistio是使用Vizceral对Istio和网格监控的改进。它利用Istio Mixer生成的指标，然后将其输入Prometheus。Vistio查询Prometheus并将数据存储在本地以允许重播流量。
    
 
    # Deploy vistio via kubectl
@@ -4760,7 +4760,7 @@ kubectl -n default port-forward $(kubectl -n default get pod -l app=vistio-web -o jsonpath='{.items[0].metadata.name}') 8080:8080 &
 
    
 
    如果一切都已经启动并准备就绪，您就可以访问Vistio UI，开始探索服务网格网络，访问http://localhost:8080 您将会看到类似下图的输出。
    
-
    vistio视图动画
    图片 - vistio视图动画
    
+
    vistio视图动画
    图片 - vistio视图动画
    
 
    更多详细内容请参考Vistio—使用Netflix的Vizceral可视化Istio service mesh。
    
 
    Kiali
    
 
    Kiali是一个用于提供Istio service mesh观察性的项目，更多信息请查看 https://kiali.io。
    
@@ -4769,7 +4769,7 @@ kubectl -n default port-forward Kiali页面
    图片 - Kiali页面
    
+
    Kiali页面
    图片 - Kiali页面
    
 
    注意：Kilia使用Jaeger做追踪，请不用屏蔽kilia页面的弹出窗口。
    
 
    Weave scope
    
 
    Weave scope可用于监控、可视化和管理Docker&Kubernetes集群，详情见 https://www.weave.works/oss/scope/ 
    
@@ -4779,7 +4779,7 @@ kubectl -n default port-forward 172.17.8.102 scope.weave.jimmysong.io
 
    现在打开浏览器，访问 http://scope.weave.jimmysong.io/
    
-
    Scope页面
    图片 - Scope页面
    
+
    Scope页面
    图片 - Scope页面
    
 
    管理
    
 
    除了特别说明，以下命令都在当前的repo目录下操作。
    
 
    挂起
    
@@ -4833,7 +4833,7 @@ vagrant ssh node3
 
  • Vistio—使用Netflix的Vizceral可视化Istio service mesh
    • 
 
 
                                 
                                 
@@ -4877,7 +4877,7 @@ vagrant ssh node3
     
 
diff --git a/cloud-native/cloud-native-philosophy.html b/cloud-native/cloud-native-philosophy.html
index a843b3849..9c7013703 100644
--- a/cloud-native/cloud-native-philosophy.html
+++ b/cloud-native/cloud-native-philosophy.html
@@ -4722,7 +4722,7 @@
 
  • “Cloud Native Infrastructure”, a Free O’Reilly eBook
    • 
 
 
                                 
                                 
@@ -4766,7 +4766,7 @@
     
 
diff --git a/cloud-native/cloud-native-programming-language-ballerina.html b/cloud-native/cloud-native-programming-language-ballerina.html
index b999a9690..ccc3143db 100644
--- a/cloud-native/cloud-native-programming-language-ballerina.html
+++ b/cloud-native/cloud-native-programming-language-ballerina.html
@@ -4576,7 +4576,7 @@
                                 
    云原生编程语言 Ballerina
    
 
    当我第一眼看到 Ballerina 还真有点惊艳的感觉。Ballerina 这个单词的意思是“芭蕾舞女演员”。我想他们之所以给公司和这们语言起这个名字，可能是希望它成为云原生这个大舞台中，Ballerina 能像一个灵活的芭蕾舞者一样轻松自如吧！
    
 
    Ballerina 是一款开源的编译式的强类型语言，该语言本身的代码可以通过 GitHub 上获取。我们可以通过 Ballerina 官网上的设计哲学页面来对这门云原生编程语言一探究竟。
    
-
    云原生编程语言ballerina
    图片 - 云原生编程语言ballerina
    
+
    云原生编程语言ballerina
    图片 - 云原生编程语言ballerina
    
 
    未来的应用程序应该是基于 API 的，而众多 API 之间的通讯和集成就成了关键问题。Ballerina 是一款使用文本和图形语法编译的、事务的、静态和强类型编程语言。Ballerina 包含分布式系统集成到语言的基本概念，并提供类型安全，并发环境下实现的分布式事务，可靠的消息传递，流处理和工作流。
    
 
    为什么创建 Ballerina？
    
 
    与 ESB 集成仍然是瀑布式开发。你必须部署服务器，配置连接器，使用 XML 编程服务逻辑以及使用 XPath 查询和转换数据。这不是开发者友好的。
    
@@ -4584,7 +4584,7 @@
 
    ESB、EAI、BPM 和 DSL 需要 XML 和配置来中断迭代开发流程：编辑、构建、运行和测试。这与运行实际应用之间是有一条鸿沟的，而云原生编程语言 Ballerina 的出现就是为了解决这条“集成鸿沟”的。
    
 
    Ballerina 设计理念
    
 
    序列图
    
-
    云原生编程语言Ballerina的序列图设计理念
    图片 - 云原生编程语言Ballerina的序列图设计理念
    
+
    云原生编程语言Ballerina的序列图设计理念
    图片 - 云原生编程语言Ballerina的序列图设计理念
    
 
    语言灵感
    
 
    序列图反映了设计开发人员记录的互联的系统。Ballerina 的语法和高效的编码模式要求开发人员使用强大的交互最佳实践来编码。
    
 
    序列图可视化
    
@@ -4592,7 +4592,7 @@
 
    Actor 与 action
    
 
    客户端、worker 和远程系统在 Ballerina 的序列图中以不同的 actor 表示。在代码中，远程端点通过连接器进行连接，连接器提供类型安全操作。在图形上，每个连接器在序列图中表示为一个 actor（即一条垂直线），action 表示为与这些actor 的交互。
    
 
    并发
    
-
    云原生编程语言Ballerina的并发理念
    图片 - 云原生编程语言Ballerina的并发理念
    
+
    云原生编程语言Ballerina的并发理念
    图片 - 云原生编程语言Ballerina的并发理念
    
 
    序列图和并发
    
 
    Ballerina 的并发模型是并行优先的，因为与远程方的交互总是涉及多个 worker。Worker 之间的交互作为消息传递进行处理，它们之间没有共享状态。
    
 
    Worker 语义
    
@@ -4636,7 +4636,7 @@ type myObject object {
 
    Ballerina 如何工作？
    
 
    Ballerina 的语法、代码和编译器创建了运行时服务和部署构件，这些工件都是云原生就绪的，您可以选择将其部署在 IaaS、编排系统或 service mesh 中的。开发人员的体验旨在维护流程，包括快速的编辑、构建、调试周期并集成到团队的生命周期工具链中。
    
 
    运行时架构
    
-
    云原生编程语言ballerina运行时架构
    图片 - 云原生编程语言ballerina运行时架构
    
+
    云原生编程语言ballerina运行时架构
    图片 - 云原生编程语言ballerina运行时架构
    
 
    Ballerina API 网关
    
 
    强制执行身份策略并保证性能。通过代码注解（类似于 Spring 中的注解）进行配置和部署。可以运行嵌入式服务、作为管理多个服务的容器代理或者使用 API 管理解决方案（如 WSO2 API Manager）。
    
 
    Ballerina service
    
@@ -4646,7 +4646,7 @@ type myObject object {
 
    消息代理、事务协调者和身份代理
    
 
    为参与事务、事件驱动的通信和为认证流程的 Ballerina 服务提供代理基础设施功能。这些组件可以嵌入到单个服务部署中或者进行单独部署和扩展以管理多个服务。
    
 
    部署架构
    
-
    云原生编程语言ballerina部署架构图
    图片 - 云原生编程语言ballerina部署架构图
    
+
    云原生编程语言ballerina部署架构图
    图片 - 云原生编程语言ballerina部署架构图
    
 
    IaaS
    
 
    使用代码注解和构建系统，可以打包 Ballerina 服务和其他运行时组件（如 API 网关）以部署到任何云原生环境中。在 IaaS 环境中，Ballerina 服务可以以虚拟机或容器的方式运行，也可以在构建期间将镜像推送到 registry 中。
    
 
    编排器
    
@@ -4654,7 +4654,7 @@ type myObject object {
 
    Service mesh
    
 
    Ballerina 可以选择断路器和事务流程逻辑委托给像 Istio 或 Envoy 这样的 service mesh（如果有的话）。如果没有 service mesh 的话，Ballerina 服务将嵌入相应的功能。
    
 
    生命周期
    
-
    云原生编程语言ballerina生命周期架构图
    图片 - 云原生编程语言ballerina生命周期架构图
    
+
    云原生编程语言ballerina生命周期架构图
    图片 - 云原生编程语言ballerina生命周期架构图
    
 
    Ballerina 工具
    
 
    使用我们的语言服务器可以在 VS Code 和 IntelliJ 中获取自动补全和调试等智能感知。Ballerina 的关键字和语法结构可以用序列图的方式来表示。使用 Ballerina Composer 可以可视化的编辑 Ballerina 代码。另外它也可以做可视化得运行时和开发环境追踪。
    
 
    Ballerina 构建
    
@@ -4692,7 +4692,7 @@ type myObject object {
 
  • Microservices, Docker, Kubernetes, Serverless, Service Mesh, and Beyond
    • 
 
 
                                 
                                 
@@ -4736,7 +4736,7 @@ type myObject object {
     
 
diff --git a/cloud-native/cloud-native-programming-language-pulumi.html b/cloud-native/cloud-native-programming-language-pulumi.html
index 083d3de4e..a28015103 100644
--- a/cloud-native/cloud-native-programming-language-pulumi.html
+++ b/cloud-native/cloud-native-programming-language-pulumi.html
@@ -4576,7 +4576,7 @@
                                 
    云原生编程语言Pulumi
    
 
    2018年6月18日 Joe Duffy在他的博客中宣布开源了云原生编程语言Pulumi。这是继Ballerina之后我看到的另一款云原生编程语言，他们之间有一些共同的特点，例如都是为了支持多种云环境，基于不可变基础设施和基础设施即代码的理念构建，使云原生应用的集成更加方便，但也有一些不同，Ballerina是直接创建了一个基于JVM的语言，而Pulumi是为不同编程语言构建了SDK。
    
 
    下文部分来自Joe Duffy的博客Hello, Pulumi！
    
-
    云原生编程语言Pulumi
    图片 - 云原生编程语言Pulumi
    
+
    云原生编程语言Pulumi
    图片 - 云原生编程语言Pulumi
    
 
    TL;DR 有了Pulumi，38页的手动操作说明将变成了38行代码。25000行YAML配置变成了使用真实编程语言的500行语句。
    
 
    Pulumi的整个运行时、CLI、支持的库都可以在GitHub上免费下载。我们的团队正急切的等待您的反馈。与此同时，我需要告诉您一些关于Pulumi的事情，为什么我们会创造它。
    
 
    Pulumi是什么？
    
@@ -4677,7 +4677,7 @@ serverless.cloudwatchHello, Pulumi!
 
 
                                 
                                 
@@ -4721,7 +4721,7 @@ serverless.cloudwatch加入中国最大的有技术、有温度、有情怀的云原生社区
    Copyright © 2017-2020 | Distributed under CC BY 4.0 | jimmysong.io","modify_label":" Updated at ","modify_format":"YYYY-MM-DD HH:mm:ss"},"prism":{"css":["prism-themes/themes/prism-ghcolors.css"]},"github":{"url":"https://github.com/rootsongjc/kubernetes-handbook"},"editlink":{"label":"编辑本页","multilingual":false,"base":"https://github.com/rootsongjc/kubernetes-handbook/blob/master/"},"splitter":{},"codesnippet":{},"sitemap-general":{"prefix":"https://jimmysong.io/kubernetes-handbook/"},"fontsettings":{"theme":"white","family":"sans","size":2},"favicon":{"shortcut":"favicon.ico","bookmark":"favicon.ico"},"lightbox":{"jquery":true,"sameUuid":false},"page-toc-button":{},"back-to-top-button":{},"prism-themes":{},"alerts":{},"github-buttons":{"repo":"rootsongjc/kubernetes-handbook","types":["star"],"size":"small"},"3-ba":{"configuration":"auto","token":"11f7d254cfa4e0ca44b175c66d379ecc"},"copy-code-button":{},"ga":{"configuration":"auto","token":"UA-93485976-1"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"theme-default":{"showLevel":true,"styles":{"ebook":"styles/ebook.css","epub":"styles/epub.css","mobi":"styles/mobi.css","pdf":"styles/pdf.css","print":"styles/print.css","website":"styles/website.css"}},"search-plus":{},"image-captions":{"caption":"图片 - 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来自 InfoQ","nro":305,"url":"../images/006tNc79ly1fzor2k6f7wj313j0u0dl3.jpg","index":4,"caption_template":"图片 - _CAPTION_","label":"2019 Q1 软件架构趋势 - 来自 InfoQ","attributes":{},"skip":false,"key":"9.8.2.4"},{"backlink":"appendix/kubernetes-and-cloud-native-summary-in-2018-and-outlook-for-2019.html#fig9.8.2.5","level":"9.8.2","list_caption":"Figure: ServiceMesher 社区 Logo","alt":"ServiceMesher 社区 Logo","nro":306,"url":"../images/006tNc79ly1fznadbp63qj31jt0beq9s.jpg","index":5,"caption_template":"图片 - _CAPTION_","label":"ServiceMesher 社区 Logo","attributes":{},"skip":false,"key":"9.8.2.5"},{"backlink":"appendix/kubernetes-and-cloud-native-summary-in-2018-and-outlook-for-2019.html#fig9.8.2.6","level":"9.8.2","list_caption":"Figure: ServiceMesher社区2018年活动一览","alt":"ServiceMesher社区2018年活动一览","nro":307,"url":"../images/006tNc79ly1fzm9vs4o3aj31s00u0x6p.jpg","index":6,"caption_template":"图片 - _CAPTION_","label":"ServiceMesher社区2018年活动一览","attributes":{},"skip":false,"key":"9.8.2.6"},{"backlink":"appendix/kubernetes-and-cloud-native-summary-in-2018-and-outlook-for-2019.html#fig9.8.2.7","level":"9.8.2","list_caption":"Figure: CNCF Landscape 中的 Serverless 单元","alt":"CNCF Landscape 中的 Serverless 单元","nro":308,"url":"../images/006tNc79ly1fznbh3vfbwj310f0jxgxj.jpg","index":7,"caption_template":"图片 - _CAPTION_","label":"CNCF Landscape 中的 Serverless 单元","attributes":{},"skip":false,"key":"9.8.2.7"},{"backlink":"appendix/cncf-annual-report-2018.html#fig9.9.1.1","level":"9.9.1","list_caption":"Figure: CNCF 项目成熟度级别","alt":"CNCF 项目成熟度级别","nro":309,"url":"../images/006tNc79ly1g04s0oznytj31tg0ok7ca.jpg","index":1,"caption_template":"图片 - _CAPTION_","label":"CNCF 项目成熟度级别","attributes":{},"skip":false,"key":"9.9.1.1"},{"backlink":"appendix/cncf-annual-report-2018.html#fig9.9.1.2","level":"9.9.1","list_caption":"Figure: KCSP","alt":"KCSP","nro":310,"url":"../images/006tNc79ly1g04tl97vm4j318v0h7dpt.jpg","index":2,"caption_template":"图片 - _CAPTION_","label":"KCSP","attributes":{},"skip":false,"key":"9.9.1.2"},{"backlink":"appendix/about-cka-candidate.html#fig9.11.1","level":"9.11","list_caption":"Figure: cka-question","alt":"cka-question","nro":311,"url":"../images/cka-question.png","index":1,"caption_template":"图片 - _CAPTION_","label":"cka-question","attributes":{},"skip":false,"key":"9.11.1"},{"backlink":"appendix/about-cka-candidate.html#fig9.11.2","level":"9.11","list_caption":"Figure: CKA mindmap","alt":"CKA mindmap","nro":312,"url":"../images/cka-mindmap.png","index":2,"caption_template":"图片 - _CAPTION_","label":"CKA mindmap","attributes":{},"skip":false,"key":"9.11.2"}]},"title":"Kubernetes Handbook - Kubernetes中文指南/云原生应用架构实践手册 by Jimmy Song(宋净超)","language":"zh-hans","links":{"sidebar":{"回到主页":"https://jimmysong.io","Awesome Cloud Native":"https://jimmysong.io/awesome-cloud-native","云原生社区":"https://cloudnative.to","中国云原生发展白皮书2020":"https://cloudnativeindustryalliance.github.io/whitepaper2020/","云原生应用白皮书":"https://jimmysong.io/guide-to-cloud-native-app/"}},"gitbook":"*","description":"Kubernetes Handbook - Kubernetes中文指南/云原生应用架构实践手册，本书记录了本人从零开始学习和使用Kubernetes的心路历程，着重于经验分享和总结，同时也会有相关的概念解析，希望能够帮助大家少踩坑，少走弯路，还会指引大家关注Kubernetes生态周边，如微服务构建、DevOps、大数据应用、Service Mesh、Cloud Native等领域。"},"file":{"path":"cloud-native/cloud-native-programming-language-pulumi.md","mtime":"2020-06-19T06:31:45.061Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2020-06-19T06:32:57.939Z"},"basePath":"..","book":{"language":""}});
         });
     
 
diff --git a/cloud-native/cloud-native-programming-languages.html b/cloud-native/cloud-native-programming-languages.html
index a0f11bb7f..c92b8f51d 100644
--- a/cloud-native/cloud-native-programming-languages.html
+++ b/cloud-native/cloud-native-programming-languages.html
@@ -4590,7 +4590,7 @@
 
    使用这种相同类型的配置表示基于容器的微服务、serverless和细粒度托管服务之间的关系导致了异常的复杂性。将应用程序转变为分布式系统应该是事后的想法。事实证明，云覆盖了您的架构和设计。表达架构和设计的最好的方式是使用代码，使用真正的编程语言编写抽象，重用和优秀的工具。
    
 
    早些时候，Eric和我采访了几十个客户。我们发现，开发人员和DevOps工程师都普遍感到幻灭。我们发现了极端的专业化，即使在同一个团队中，工程师也不会使用同一种语言。最近几周我已经听到了这个消息，我期待有一天会出现NoYAML运动。
    
 
                                 
                                 
@@ -4634,7 +4634,7 @@
     
 
diff --git a/cloud-native/component.html b/cloud-native/component.html
index 1c68769e6..d343aad24 100644
--- a/cloud-native/component.html
+++ b/cloud-native/component.html
@@ -4611,7 +4611,7 @@
 
  • The Open Application Model specification - github.com 
    • 
 
 
                                 
                                 
@@ -4655,7 +4655,7 @@
     
 
diff --git a/cloud-native/define-cloud-native-app.html b/cloud-native/define-cloud-native-app.html
index a4c3bb37b..2e04f338b 100644
--- a/cloud-native/define-cloud-native-app.html
+++ b/cloud-native/define-cloud-native-app.html
@@ -4578,7 +4578,7 @@
 
    云原生应用是一个相互关联但又不独立的组件（service、task、worker）的集合，这些组件与配置结合在一起并在适当的运行时实例化后，共同完成统一的功能目的。
    
 
    云原生应用模型
    
 
    下图是 OAM 定义的云原生应用模型示意图，为了便于理解，图中相同颜色的部分为同一类别的对象定义。
    
-
    云原生应用模型
    图片 - 云原生应用模型
    
+
    云原生应用模型
    图片 - 云原生应用模型
    
 
    OAM 的规范中定义了以下对象，它们既是 OAM 规范中的基本术语也是云原生应用的基本组成。
    
 
      
 
    • Workload（工作负载）：应用程序的工作负载类型，由平台提供。
      • 
@@ -4590,7 +4590,7 @@
 
      OAM 规范中提供了一个使用以上对象定义云原生应用的工作流示例。
      
 
      关注点分离
      
 
      下图是不同角色对于该模型的关注点示意图。
      
-
      云原生应用模型中的目标角色
      图片 - 云原生应用模型中的目标角色
      
+
      云原生应用模型中的目标角色
      图片 - 云原生应用模型中的目标角色
      
 
      我们可以看到对于一个云原生应用来说，不同的对象是由不同的角色来负责的：
      
 
 
                                 
                                 
@@ -4648,7 +4648,7 @@
     
 
diff --git a/cloud-native/from-kubernetes-to-cloud-native.html b/cloud-native/from-kubernetes-to-cloud-native.html
index 11842ffc4..6919ec18e 100644
--- a/cloud-native/from-kubernetes-to-cloud-native.html
+++ b/cloud-native/from-kubernetes-to-cloud-native.html
@@ -4583,7 +4583,7 @@
 
 
      容器最初是通过开发者工具而流行，可以使用它来做隔离的开发测试环境和持续集成环境，这些都是因为容器轻量级，易于配置和使用带来的优势，docker和docker-compose这样的工具极大的方便的了应用开发环境的搭建，开发者就像是化学家一样在其中小心翼翼的进行各种调试和开发。
      
 
      随着容器的在开发者中的普及，已经大家对CI流程的熟悉，容器周边的各种工具蓬勃发展，俨然形成了一个小生态，在2016年达到顶峰，下面这张是我画的容器生态图：
      
-
      容器生态图 Container ecosystem
      图片 - 容器生态图 Container ecosystem
      
+
      容器生态图 Container ecosystem
      图片 - 容器生态图 Container ecosystem
      
 
      该生态涵盖了容器应用中从镜像仓库、服务编排、安全管理、持续集成与发布、存储和网络管理等各个方面，随着在单主机中运行容器的成熟，集群管理和容器编排成为容器技术亟待解决的问题。譬如化学家在实验室中研究出来的新产品，如何推向市场，进行大规模生产，成了新的议题。
      
 
      为什么使用Kubernetes
      
 
      
@@ -4592,28 +4592,28 @@
 
      Kubernetes是容器编排系统的事实标准
      
 
      在单机上运行容器，无法发挥它的最大效能，只有形成集群，才能最大程度发挥容器的良好隔离、资源分配与编排管理的优势，而对于容器的编排管理，Swarm、Mesos和Kubernetes的大战已经基本宣告结束，Kubernetes成为了无可争议的赢家。
      
 
      下面这张图是Kubernetes的架构图（图片来自网络），其中显示了组件之间交互的接口CNI、CRI、OCI等，这些将Kubernetes与某款具体产品解耦，给用户最大的定制程度，使得Kubernetes有机会成为跨云的真正的云原生应用的操作系统。
      
-
      Kubernetes架构
      图片 - Kubernetes架构
      
+
      Kubernetes架构
      图片 - Kubernetes架构
      
 
      随着Kubernetes的日趋成熟，“Kubernetes is becoming boring”，基于该“操作系统”之上构建的适用于不同场景的应用将成为新的发展方向，就像我们将石油开采出来后，提炼出汽油、柴油、沥青等等，所有的材料都将找到自己的用途，Kubernetes也是，毕竟我们谁也不是为了部署和管理容器而用Kubernetes，承载其上的应用才是价值之所在。
      
 
      云原生的核心目标
      
-
      Cloud Native Core target
      图片 - Cloud Native Core target
      
+
      Cloud Native Core target
      图片 - Cloud Native Core target
      
 
      云已经可以为我们提供稳定可以唾手可得的基础设施，但是业务上云成了一个难题，Kubernetes的出现与其说是从最初的容器编排解决方案，倒不如说是为了解决应用上云（即云原生应用）这个难题。
      
 
      包括微服务和FaaS/Serverless架构，都可以作为云原生应用的架构。
      
-
      FaaS Landscape
      图片 - FaaS Landscape
      
+
      FaaS Landscape
      图片 - FaaS Landscape
      
 
      但就2017年为止，Kubernetes的主要使用场景也主要作为应用开发测试环境、CI/CD和运行Web应用这几个领域，如下图TheNewStack的Kubernetes生态状况调查报告所示。
      
-
      Workloads running on Kubernetes
      图片 - Workloads running on Kubernetes
      
+
      Workloads running on Kubernetes
      图片 - Workloads running on Kubernetes
      
 
      另外基于Kubernetes的构建PaaS平台和Serverless也处于爆发的准备的阶段，如下图中Gartner的报告中所示：
      
-
      Gartner技术爆发趋势图2017
      图片 - Gartner技术爆发趋势图2017
      
+
      Gartner技术爆发趋势图2017
      图片 - Gartner技术爆发趋势图2017
      
 
      当前各大公有云如Google GKE、微软Azure ACS、亚马逊EKS（2018年上线）、VMWare、Pivotal、腾讯云、阿里云等都提供了Kubernetes服务。
      
 
      微服务
      
 
      
 
      微服务——Cloud Native的应用架构。
      
 
      
 
      下图是Bilgin Ibryam给出的微服务中应该关心的主题，图片来自RedHat Developers。
      
-
      Microservices concerns
      图片 - Microservices concerns
      
+
      Microservices concerns
      图片 - Microservices concerns
      
 
      微服务带给我们很多开发和部署上的灵活性和技术多样性，但是也增加了服务调用的开销、分布式系统管理、调试与服务治理方面的难题。
      
 
      当前最成熟最完整的微服务框架可以说非Spring莫属，而Spring又仅限于Java语言开发，其架构本身又跟Kubernetes存在很多重合的部分，如何探索将Kubernetes作为微服务架构平台就成为一个热点话题。
      
 
      就拿微服务中最基础的服务注册发现功能来说，其方式分为客户端服务发现和服务端服务发现两种，Java应用中常用的方式是使用Eureka和Ribbon做服务注册发现和负载均衡，这属于客户端服务发现，而在Kubernetes中则可以使用DNS、Service和Ingress来实现，不需要修改应用代码，直接从网络层面来实现。
      
-
      两种服务发现方式
      图片 - 两种服务发现方式
      
+
      两种服务发现方式
      图片 - 两种服务发现方式
      
 
      Cloud Native
      
 
      
 
      DevOps——通向云原生的云梯
      
@@ -4625,9 +4625,9 @@
 
    • 微服务化：明确服务间的依赖，互相解耦。
      • 
 
    
 
    下图是我整理的关于云原生所需要的能力和特征。
    
-
    Cloud Native Features
    图片 - Cloud Native Features
    
+
    Cloud Native Features
    图片 - Cloud Native Features
    
 
    CNCF所托管的应用（目前已达12个），即朝着这个目标发展，其公布的Cloud Native Landscape，给出了云原生生态的参考体系。
    
-
    Cloud Native Landscape v1.0
    图片 - Cloud Native Landscape v1.0
    
+
    Cloud Native Landscape v1.0
    图片 - Cloud Native Landscape v1.0
    
 
    使用Kubernetes构建云原生应用
    
 
    我们都是知道Heroku推出了适用于PaaS的12 factor app的规范，包括如下要素：
    
 
      
@@ -4651,9 +4651,9 @@
 
    1. 监控与告警
      2. 
 
 
      如果落实的具体的工具，请看下图，使用Kubernetes构建云原生架构：
      
-
      Building a Cloud Native Architecture with Kubernetes followed 12 factor app
      图片 - Building a Cloud Native Architecture with Kubernetes followed 12 factor app
      
+
      Building a Cloud Native Architecture with Kubernetes followed 12 factor app
      图片 - Building a Cloud Native Architecture with Kubernetes followed 12 factor app
      
 
      结合这12因素对开发或者改造后的应用适合部署到Kubernetes之上，基本流程如下图所示：
      
-
      Creating Kubernetes native app
      图片 - Creating Kubernetes native app
      
+
      Creating Kubernetes native app
      图片 - Creating Kubernetes native app
      
 
      迁移到云架构
      
 
      迁移到云端架构，相对单体架构来说会带来很多挑战。比如自动的持续集成与发布、服务监控的变革、服务暴露、权限的管控等。这些具体细节请参考Kubernetes-handbook中的说明：https://jimmysong.io/kubernetes-handbook，在此就不细节展开，另外推荐一本我翻译的由Pivotal出品的电子书——Migrating to Cloud Native Application Architectures，地址：https://jimmysong.io/migrating-to-cloud-native-application-architectures/。
      
 
      Service Mesh
      
@@ -4723,7 +4723,7 @@
 
 
 
      关于两者的架构可以参考各自的官方文档，我只从其在Kubernetes上的部署结构来说明其区别。
      
-
      istio vs linkerd
      图片 - istio vs linkerd
      
+
      istio vs linkerd
      图片 - istio vs linkerd
      
 
      Istio的组件复杂，可以分别部署在Kubernetes集群中，但是作为核心路由组件Envoy是以Sidecar形式与应用运行在同一个Pod中的，所有进入该Pod中的流量都需要先经过Envoy。
      
 
      Linker的部署十分简单，本身就是一个镜像，使用Kubernetes的DaemonSet方式在每个node节点上运行。
      
 
      更多信息请参考kubernetes-handbook。
      
@@ -4733,7 +4733,7 @@
 
 
      GitOps
      
 
      给开发者带来最大的配置和上线的灵活性，践行DevOps流程，改善研发效率，下图这样的情况将更少发生。
      
-
      Deployment pipeline
      图片 - Deployment pipeline
      
+
      Deployment pipeline
      图片 - Deployment pipeline
      
 
      我们知道Kubernetes中的所有应用的部署都是基于YAML文件的，这实际上就是一种Infrastructure as code，完全可以通过Git来管控基础设施和部署环境的变更。
      
 
      Big Data
      
 
      Spark现在已经非官方支持了基于Kubernetes的原生调度，其具有以下特点：
      
@@ -4780,7 +4780,7 @@
 
 
 
      下图是在Kubernetes上运行三种调度方式的spark的单个节点的应用部分对比：
      
-
      Spark on Kubernetes with different schedulers
      图片 - Spark on Kubernetes with different schedulers
      
+
      Spark on Kubernetes with different schedulers
      图片 - Spark on Kubernetes with different schedulers
      
 
      从上图中可以看到在Kubernetes上使用YARN调度、standalone调度和Kubernetes原生调度的方式，每个node节点上的Pod内的Spark Executor分布，毫无疑问，使用Kubernetes原生调度的Spark任务才是最节省资源的。
      
 
      提交任务的语句看起来会像是这样的：
      
 
      ./spark-submit \
@@ -4815,9 +4815,9 @@
 
      Contributing is Not only about code, it is about helping a community.
      
 
 
      下图是我们刚调研准备使用Kubernetes时候的调研方案选择。
      
-
      Kubernetes solutions
      图片 - Kubernetes solutions
      
+
      Kubernetes solutions
      图片 - Kubernetes solutions
      
 
      对于一个初次接触Kubernetes的人来说，看到这样一个庞大的架构选型时会望而生畏，但是Kubernetes的开源社区帮助了我们很多。
      
-
      Kubernetes SIG
      图片 - Kubernetes SIG
      
+
      Kubernetes SIG
      图片 - Kubernetes SIG
      
 
      我组建了K8S&Cloud Native实战、ServiceMesher微信群，参与了k8smeetup、KEUC2017、kubernetes-docs-cn Kubernetes官方中文文档项目。
      
 
      有用的资料和链接
      
 
        
@@ -4832,7 +4832,7 @@
 
      • KubeCon + CloudNativeCon 2018年11月14-15日 上海
        • 
 
      
 
                                 
                                 
@@ -4876,7 +4876,7 @@
     
 
diff --git a/cloud-native/kubernetes-and-cloud-native-app-overview.html b/cloud-native/kubernetes-and-cloud-native-app-overview.html
index d8c4f6baa..f8ee277c8 100644
--- a/cloud-native/kubernetes-and-cloud-native-app-overview.html
+++ b/cloud-native/kubernetes-and-cloud-native-app-overview.html
@@ -4578,9 +4578,9 @@
 
      作为全书的开头，首先从历史、生态和应用角度介绍一下Kubernetes与云原生应用，深入浅出，高屋建瓴，没有深入到具体细节，主要是为了给初次接触Kubernetes的小白扫盲，具体细节请参考链接。
      
 
      从云计算到微服务再到云原生计算
      
 
      下面将从云计算的发展历程引入云原生计算，请先看下图：
      
-
      云计算演进历程
      图片 - 云计算演进历程
      
+
      云计算演进历程
      图片 - 云计算演进历程
      
 
      云原生应用到2020年将比目前至少翻一番，下图是Marc Wilczek的调查报告。
      
-
      来自Twitter @MarcWilczek
      图片 - 来自Twitter @MarcWilczek
      
+
      来自Twitter @MarcWilczek
      图片 - 来自Twitter @MarcWilczek
      
 
      云计算介绍
      
 
      云计算包含的内容十分繁杂，也有很多技术和公司牵强附会说自己是云计算公司，说自己是做云的，实际上可能风马牛不相及。说白了，云计算就是一种配置资源的方式，根据资源配置方式的不同我们可以把云计算从宏观上分为以下三种类型：
      
 
        
@@ -4594,7 +4594,7 @@
 
        下文中会谈到Kubernetes与微服务的关系，其中Kubernetes的service天生就适合于微服务。
        
 
        云原生概念介绍
        
 
        下面是Cloud Native概念思维导图
        
-
        Cloud native思维导图
        图片 - Cloud native思维导图
        
+
        Cloud native思维导图
        图片 - Cloud native思维导图
        
 
        云原生准确来说是一种文化，更是一种潮流，它是云计算的一个必然导向。它的意义在于让云成为云化战略成功的基石，而不是阻碍，如果业务应用上云之后开发和运维人员比原先还痛苦，成本还高的话，这样的云我们宁愿不上。
        
 
        自从云的概念开始普及，许多公司都部署了实施云化的策略，纷纷搭建起云平台，希望完成传统应用到云端的迁移。但是这个过程中会遇到一些技术难题，上云以后，效率并没有变得更高，故障也没有迅速定位。
        
 
        为了解决传统应用升级缓慢、架构臃肿、不能快速迭代、故障不能快速定位、问题无法快速解决等问题，云原生这一概念横空出世。云原生可以改进应用开发的效率，改变企业的组织结构，甚至会在文化层面上直接影响一个公司的决策。
        
@@ -4619,7 +4619,7 @@
 
        12因素应用
        
 
        12因素应用提出已经有几年的时间了，每个人对其可能都有自己的理解，切不可生搬硬套，也不一定所有云原生应用都必须符合这12条法则，其中有几条法则可能还有点争议，有人对其的解释和看法不同。
        
 
        大家不要孤立的来看这每一个因素，将其与自己软件开发流程联系起来，这12个因素大致就是按照软件从开发到交付的流程顺序来写的。
        
-
        十二因素应用
        图片 - 十二因素应用
        
+
        十二因素应用
        图片 - 十二因素应用
        
 
        1.基准代码
        
 
        每个代码仓库（repo）都生成docker image保存到镜像仓库中，并使用唯一的ID管理，在Jenkins中使用编译时的ID。
        
 
        2.依赖
        
@@ -4671,7 +4671,7 @@
 
        Kubernetes中的资源管理与容器设计模式
        
 
        Kubernetes通过声明式配置，真正让开发人员能够理解应用的状态，并通过同一份配置可以立马启动一个一模一样的环境，大大提高了应用开发和部署的效率，其中Kubernetes设计的多种资源类型可以帮助我们定义应用的运行状态，并使用资源配置来细粒度的明确限制应用的资源使用。
        
 
        而容器生态的成熟是 Kubernetes 诞生的前提，在谈到容器的设计模式之前我们先来了解下容器生态，请看下图：
        
-
        容器生态
        图片 - 容器生态
        
+
        容器生态
        图片 - 容器生态
        
 
        关于 Docker 容器的更多内容请参考 Docker最佳实践。
        
 
        容器的设计模式
        
 
        Kubernetes提供了多种资源对象，用户可以根据自己应用的特性加以选择。这些对象有：
        
@@ -4757,7 +4757,7 @@
 
      
 
      详见Kubernetes Handbook - 服务发现与负载均衡。
      
 
      持续集成与发布
      
-
      使用Jenkins进行持续集成与发布流程图
      图片 - 使用Jenkins进行持续集成与发布流程图
      
+
      使用Jenkins进行持续集成与发布流程图
      图片 - 使用Jenkins进行持续集成与发布流程图
      
 
      应用构建和发布流程说明：
      
 
        
 
      1. 用户向Gitlab提交代码，代码中必须包含Dockerfile
        2. 
@@ -4772,7 +4772,7 @@
 
      
 
      日志收集与监控
      
 
      基于现有的ELK日志收集方案，稍作改造，选用filebeat来收集日志，可以作为sidecar的形式跟应用运行在同一个Pod中，比较轻量级消耗资源比较少。
      
-
      filebeat日志收集架构图
      图片 - filebeat日志收集架构图
      
+
      filebeat日志收集架构图
      图片 - filebeat日志收集架构图
      
 
      详见Kubernetes Handbook - 应用日志收集。
      
 
      安全性与权限管理
      
 
      Kubernetes是一个多租户的云平台，因此必须对用户的权限加以限制，对用户空间进行隔离。Kubernetes中的隔离主要包括这几种：
      
@@ -4798,7 +4798,7 @@
 
 
      定义API生成API文档
      
 
      使用API blueprint格式，定义API文档，格式类似于markdown，再使用aglio生成HTML文档。
      
-
      API文档
      图片 - API文档
      
+
      API文档
      图片 - API文档
      
 
      详见：如何开发部署Kubernetes Native应用。
      
 
      如何迁移到云原生应用架构
      
 
      Pivotal 是云原生应用的提出者，并推出了 Pivotal Cloud Foundry 云原生应用平台和 Spring 开源 Java 开发框架，成为云原生应用架构中先驱者和探路者。
      
@@ -4816,7 +4816,7 @@
 
      详见：迁移到云原生应用架构
      
 
      迁移案例解析
      
 
      迁移步骤示意图如下：
      
-
      迁移步骤示意图
      图片 - 迁移步骤示意图
      
+
      迁移步骤示意图
      图片 - 迁移步骤示意图
      
 
      步骤说明：
      
 
        
 
      1. 将原有应用拆解为服务
        2. 
@@ -4839,7 +4839,7 @@
 
        此外还有很多其它的Service Mesh鱼贯而出，请参考awesome-cloud-native。
        
 
        什么是Service Mesh
        
 
        如果用一句话来解释什么是 Service Mesh，可以将它比作是应用程序或者说微服务间的 TCP/IP，负责服务之间的网络调用、限流、熔断和监控。对于编写应用程序来说一般无须关心 TCP/IP 这一层（比如通过 HTTP 协议的 RESTful 应用），同样使用 Service Mesh 也就无须关心服务之间的那些原来是通过应用程序或者其他框架实现的事情，比如 Spring Cloud、OSS，现在只要交给 Service Mesh 就可以了。
        
-
        service mesh架构图
        图片 - service mesh架构图
        
+
        service mesh架构图
        图片 - service mesh架构图
        
 
        详见什么是 Service Mesh - jimmysong.io。
        
 
        Service Mesh使用指南
        
 
        两款Service Mesh各有千秋，我分别写了他们的使用案例指南：
        
@@ -4867,17 +4867,17 @@
 
      
 
      使用Kibana查看日志
      
 
      日志字段中包括了应用的标签、容器名称、主机名称、宿主机名称、IP地址、时间。
      
-
      kibana界面
      图片 - kibana界面
      
+
      kibana界面
      图片 - kibana界面
      
 
      使用Grafana查看应用状态
      
 
      注：感谢【K8S🤘Cloud Native实战群】尊贵的黄金会员小刚同学提供下面的Grafana监控图🙏
      
 
      监控分类示意图：
      
-
      Grafana界面示意图1
      图片 - Grafana界面示意图1
      
+
      Grafana界面示意图1
      图片 - Grafana界面示意图1
      
 
      Kubernetes集群全局监控图1
      
 
      该监控图可以看到集群硬件使用情况。
      
-
      Grafana界面示意图2
      图片 - Grafana界面示意图2
      
+
      Grafana界面示意图2
      图片 - Grafana界面示意图2
      
 
      Kubernetes全局监控图2
      
 
      该监控可以看到单个用户的namespace下的所有资源的使用情况。
      
-
      Grafana界面示意图3
      图片 - Grafana界面示意图3
      
+
      Grafana界面示意图3
      图片 - Grafana界面示意图3
      
 
      Spark on Kubernetes
      
 
      TL;DR https://jimmysong.io/spark-on-k8s
      
 
      Spark原生支持standalone、mesos和YARN资源调度，现已支持Kubernetes原生调度，详见运行支持Kubernetes原生调度的spark程序-Spark on Kubernetes。
      
@@ -4921,9 +4921,9 @@
 
      
 
      监控
      
 
      下图是从Kubernetes dashboard上看到的spark-cluster这个namespace上运行的应用情况。
      
-
      dashboard
      图片 - dashboard
      
+
      dashboard
      图片 - dashboard
      
 
      下图是从Grafana监控页面上查看到的某个executor资源占用情况。
      
-
      Grafana
      图片 - Grafana
      
+
      Grafana
      图片 - Grafana
      
 
      参考
      
 
 
                                 
                                 
@@ -4976,7 +4976,7 @@
     
 
diff --git a/cloud-native/play-with-kubernetes.html b/cloud-native/play-with-kubernetes.html
index a2fb1de8f..1f2b98884 100644
--- a/cloud-native/play-with-kubernetes.html
+++ b/cloud-native/play-with-kubernetes.html
@@ -4603,10 +4603,10 @@
 
      注意：192.168.0.13是master节点的IP，请替换您的master节点的实际IP。
      
 
      再添加几个实例，重复执行第四步，即可向Kubernetes集群中增加节点。
      
 
      此时在master节点上执行kubectl get nodes查看节点所有节点状态，并创建nginx deployment，如下图所示：
      
-
      Play with Kubernetes网页截图
      图片 - Play with Kubernetes网页截图
      
+
      Play with Kubernetes网页截图
      图片 - Play with Kubernetes网页截图
      
 
      Play with Kuberentes (PWK) is a project hacked by Marcos Lilljedahl and Jonathan Leibiusky and sponsored by Docker Inc.
      
 
                                 
                                 
@@ -4650,7 +4650,7 @@
     
 
diff --git a/cloud-native/setup-kubernetes-with-rancher-and-aliyun.html b/cloud-native/setup-kubernetes-with-rancher-and-aliyun.html
index 75b7046c7..07b2d44c5 100644
--- a/cloud-native/setup-kubernetes-with-rancher-and-aliyun.html
+++ b/cloud-native/setup-kubernetes-with-rancher-and-aliyun.html
@@ -4595,18 +4595,18 @@
 
 
      步骤
      
 
      假设现在我们有两个节点 master 和 node，请参考 Rancher Quick Start Guide 安装 Rancher。
      
-
      Rancher 界面
      图片 - Rancher 界面
      
+
      Rancher 界面
      图片 - Rancher 界面
      
 
      Master
      
 
      先在 Master 节点安装 Rancher server、control、etcd 和 worker。
      
 
      选择网络组件为 Flannel，同时在自定义主机运行命令中选择主机角色、填写主机的内网和外网 IP。
      
-
      自定义节点信息
      图片 - 自定义节点信息
      
+
      自定义节点信息
      图片 - 自定义节点信息
      
 
      docker run -d --restart=unless-stopped -p 80:80 -p 443:443 rancher/rancher
 
      
 
      Rancher 将自动创建 Kubernetes 集群，并默认在 80 端口运行 web server。
      
 
      Node
      
 
      添加 Node 节点时只需要在 Rancher 的 web 界面上找到您刚安装的集群并选择【编辑集群】并选择节点角色为 Worker 即可增加一台 Kubenretes 集群节点。
      
 
      集群交互
      
-
      Rancher 集群监控页面
      图片 - Rancher 集群监控页面
      
+
      Rancher 集群监控页面
      图片 - Rancher 集群监控页面
      
 
      如果您习惯使用命令行与集群交互可以 Rancher 的 web 上找到集群首页上的 Kubeconfig File 下载按钮，将该文件中的内容保存到您自己电脑的 ~/.kube/config 文件中。然后现在对应 Kubernetes 版本的 kubectl 命令并放到 PATH 路径下即可。
      
 
       如果您没有在本地安装 kubectl 工具，也可以通过 Rancher 的集群页面上的 Launch kubectl 命令通过 web 来操作集群。
      
 
      参考
      
@@ -4615,7 +4615,7 @@
 
    2. 阿里云容器服务 ACK - aliyun.com 
      3. 
 
 
                                 
                                 
@@ -4659,7 +4659,7 @@
     
 
diff --git a/cloud-native/the-future-of-cloud-native.html b/cloud-native/the-future-of-cloud-native.html
index 04a4086c1..844e843ac 100644
--- a/cloud-native/the-future-of-cloud-native.html
+++ b/cloud-native/the-future-of-cloud-native.html
@@ -4589,10 +4589,10 @@
 
 
      一句话解释什么是云原生应用：云原生应用就是为了在云上运行而开发的应用。
      
 
      Kubernetes：云原生操作系统
      
-
      Kubernetes 云原生的操作系统
      图片 - Kubernetes 云原生的操作系统
      
+
      Kubernetes 云原生的操作系统
      图片 - Kubernetes 云原生的操作系统
      
 
      要运行这样的应用必须有一个操作系统，就像我们运行PC或手机应用一样，而Kubernetes就是一个这样的操作系统。
      
 
      我们再来看下操作系统包括哪些层次。
      
-
      操作系统层次
      图片 - 操作系统层次
      
+
      操作系统层次
      图片 - 操作系统层次
      
 
        
 
      • 硬件管理：可以管理CPU、内存、网络和存储
        • 
 
      • 设备接口、虚拟化工具、实用工具
        • 
@@ -4600,7 +4600,7 @@
 
      • 各种终端工具，如awk、sort、grep、vim等
        • 
 
      
 
      下面是CNCF给出的云原生景观图。
      
-
      云原生景观图
      图片 - 云原生景观图
      
+
      云原生景观图
      图片 - 云原生景观图
      
 
      该图中包括云原生的各种层次的提供者和应用，通过该图可以组合出一些列的云原生平台。
      
 
        
 
      • IaaS云提供商（公有云、私有云）
        • 
@@ -4615,13 +4615,13 @@
 
        Kubernetes发展已经有3年多的时间了，它已经基本成为了容器编排调度框架的标准。它的各种抽象与资源定义已经被大家广为接受。其中最基础的调度单元Pod。
        
 
        创建一个自定义资源类型需要满足的条件。
        
 
        这是KubeVirt的架构图。
        
-
        KubeVirt架构图
        图片 - KubeVirt架构图
        
+
        KubeVirt架构图
        图片 - KubeVirt架构图
        
 
        我们看到图中有两个是Kubernetes原生的组件，API server和kubelet，我们创建了virt-controller就是为了创建CRD的controller，它扩展了kube-controller的功能，用于管理虚拟机的生命周期，同时在每个节点上都用DaemonSet的方式运行一个virt-handler，这个handler是用于创建虚拟机的处理器，每个节点上即可用运行虚拟机也可以运行容器，只要这个节点上有virt-handler就可以运行和调度虚拟机。
        
 
        Kubernetes做了什么？
        
 
        Kubernetes优秀的分布式架构设计，给我们提供了众多了可扩展接口，可以让我们很方便的扩展自己的运行时、网络和存储插件，同时还可以通过CRD管理我们自己的分布式应用。它的声明式配置方式可以让我们利用Kubernetes的原语快速的编排出一个云原生应用。
        
 
        Kubernetes的资源隔离也能保证对集群资源的最大化和最优利用率。
        
 
        下图中展示了Kubernetes中的资源隔离层次。
        
-
        Kubernetes中的资源隔离
        图片 - Kubernetes中的资源隔离
        
+
        Kubernetes中的资源隔离
        图片 - Kubernetes中的资源隔离
        
 
          
 
        • 容器
          • 
 
        • Pod：命名空间的隔离，共享网络，每个Pod都有独立IP，使用Service Account为Pod赋予账户
          • 
@@ -4636,17 +4636,17 @@
 
        • 存储：PV、PVC、ConfigMap、Secret
          • 
 
        
 
        在最近一届的KubeCon & CloudNativeCon上Operator已经变得越来越流行。下面是OpenEBS的一个使用Operator的例子。
        
-
        OpenEBS 控制平面架构
        图片 - OpenEBS 控制平面架构
        
+
        OpenEBS 控制平面架构
        图片 - OpenEBS 控制平面架构
        
 
        OpenEBS是一款容器化存储，它基于Ceph构建，容器化存储最大的好处就是复用Kubernetes的资源类型，简化存储应用的部署，将单体的存储拆分为“微服务化”的存储，即每个应用在声明PV的时候才会创建存储，并与PV的生命周期一样都是独立于应用的。
        
 
        OpenEBS的存储也是分控制平面和数据平面的，下图是OpenEBS的架构图。
        
-
        OpenEBS 的存储卷管理
        图片 - OpenEBS 的存储卷管理
        
+
        OpenEBS 的存储卷管理
        图片 - OpenEBS 的存储卷管理
        
 
        黄色部分是OpenEBS的组件（除了kube-dashboard），它是使用Kubernetes的各种原语和CRD来创建的，架构跟Kubernetes本身也很类似。
        
 
        用户在使用OpenEBS的StorageClass创建PV的时候，OpenEBS会为每个PV创建一个用户管理该PV的Deployment，这个Deployment再来创建存储副本，每个PV的存储副本都可以不同，这取决的用户如何定义的StorageClass。这样就可以将原来的单体存储拆分为微服务化的存储。
        
 
        上面说到了Operator的一个应用，下面再来看一个我们之前在Kubernetes中部署Hadoop YARN和Spark的例子。
        
-
        Hadoop YARN 迁移到 Kubernetes的示例
        图片 - Hadoop YARN 迁移到 Kubernetes的示例
        
-
        Spark on Yarn with Kubernetes
        图片 - Spark on Yarn with Kubernetes
        
+
        Hadoop YARN 迁移到 Kubernetes的示例
        图片 - Hadoop YARN 迁移到 Kubernetes的示例
        
+
        Spark on Yarn with Kubernetes
        图片 - Spark on Yarn with Kubernetes
        
 
        Kubernetes始于12因素应用的PaaS平台，它是微服务的绝佳部署管理平台，基于它可以应用多种设计模式。它的未来将变成什么样呢？
        
-
        云原生与12因素应用
        图片 - 云原生与12因素应用
        
+
        云原生与12因素应用
        图片 - 云原生与12因素应用
        
 
          
 
        • Service Mesh：解决微服务治理问题
          • 
 
        • Auto Pilot：自动驾驭能力，服务自动扩展，智能运维
          • 
@@ -4656,7 +4656,7 @@
 
          为了实现上述的各种能力，急需解决的就是基于Kubernetes的持续集成和发布问题。
          
 
          当前出现了一系列的基于Kubernetes的CI/CD工具，如Jenkins-x、Gitkube，它提供了从代码提交、自动编译、打包镜像、配置注入、发布部署到Kubernetes平台的一系列自动化流程。
          
 
          甚至出现了像ballerina这样的云原生编程语言，它的出现就是为了解决应用开发到服务集成之间的鸿沟的。它有以下几个特点。
          
-
          云原生编程语言
          图片 - 云原生编程语言
          
+
          云原生编程语言
          图片 - 云原生编程语言
          
 
            
 
          • 使用云原生语义的DSL
            • 
 
          • 注解式配置
            • 
@@ -4664,30 +4664,30 @@
 
          • 支持微服务的治理
            • 
 
          
 
          要完成云的集成CI/CD，或者用一个词代替来说就是GitOps的需求越来越强烈。
          
-
          Gitkube
          图片 - Gitkube
          
+
          Gitkube
          图片 - Gitkube
          
 
          Kubernetes没有做什么
          
 
          看下这张图中的两个服务，它们使用的是kube-proxy里基于iptables的原生的负载均衡，并且服务间的流量也没有任何控制。
          
-
          Kuberentes中的流量管理
          图片 - Kuberentes中的流量管理
          
+
          Kuberentes中的流量管理
          图片 - Kuberentes中的流量管理
          
 
          Kubernetes缺少的最重要的一个功能就是微服务的治理，微服务比起单体服务来说使得部署和运维起来更加复杂，对于微服务的可观测性也有更高的要求，同时CI/CD流程Kubernetes本身也没有提供。
          
 
          Service Mesh
          
 
          Service Mesh是一个专用的基础设施层，它能够将微服务的治理层应用层下沉到基础设施层，将原来开发人员很多活给分担出去，让开发人员更注重业务逻辑和应用的性能本身，将服务治理的能力交给平台来解决。使用Service Mesh能够提供安全的服务间通讯、在服务间通讯应用各种策略实现灰度发布、流量切分等功能，它还能适配多语言，让微服务应用无感知的迁移到云原生。
          
 
          这是Istio在Kubenetes中创建的各种CRD，这些CRD有些是作为路由策略、有些是做监控指标和权限控制的。
          
 
          这是Istio Service Mesh的架构图。
          
-
          Istio Service Mesh架构图
          图片 - Istio Service Mesh架构图
          
+
          Istio Service Mesh架构图
          图片 - Istio Service Mesh架构图
          
 
            
 
          • Pilot：提供用户接口，用户可以通过该接口配置各种路由规则，Pilot还可以通过适配器获取平台上各种服务之间的管理，Evnoy这个使用Sidecar方式部署到每个应用pod中的进程会通过Pilot中的Envoy API获得平台上各个服务之间的管理，同时也会应用用户配置的路由规则。
            • 
 
          • Mixer：获取各种平台属性，服务间通讯时会先访问Mixer兼容各平台的属性信息，如quota、访问控制和策略评估，将服务间的访问信息记录后上报到mixer形成遥测报告。
            • 
 
          • 每个Pod上还有SA和SPIFFE做权限管控。
            • 
 
          
 
          Service Mesh实际上为了解决社会分工问题，它本身是为了解决微服务的治理。
          
-
          Service Mesh架构
          图片 - Service Mesh架构
          
+
          Service Mesh架构
          图片 - Service Mesh架构
          
 
          Pilot和控制平面是为了运维人员准备的。
          
 
          数据平面是为开发人员准备的。
          
 
          Isito在每个上下游服务之间部署一个Envoy，Envoy中有几个基本的服务发现服务，监听器即Envoy要转发的流量端口，Endpoint是要转发的目的地，Cluster是一系列Endpoint用来做负载均衡，Route是定义各种路由规则，每个Envoy进程里可以设置多个Listener。
          
-
          Envoy proxy架构图
          图片 - Envoy proxy架构图
          
+
          Envoy proxy架构图
          图片 - Envoy proxy架构图
          
 
          本文根据 Jimmy Song 于2018年5月20日在第四届南京全球技术周上【互联网技术专场】上的题为【云原生应用的下一站】的演讲的部分内容的文字整理而成。
          
 
                                 
                                 
@@ -4731,7 +4731,7 @@
     
 
diff --git a/cloud-native/trait.html b/cloud-native/trait.html
index e27e22ca5..eff789b05 100644
--- a/cloud-native/trait.html
+++ b/cloud-native/trait.html
@@ -4610,7 +4610,7 @@
 
        • The Open Application Model specification - github.com 
          • 
 
        
 
                                 
                                 
@@ -4654,7 +4654,7 @@
     
 
diff --git a/cloud-native/workload.html b/cloud-native/workload.html
index 0bf9706a0..1ebb8d20a 100644
--- a/cloud-native/workload.html
+++ b/cloud-native/workload.html
@@ -4596,7 +4596,7 @@
 
      • The Open Application Model specification - github.com 
        • 
 
      
 
                                 
                                 
@@ -4640,7 +4640,7 @@
     
 
diff --git a/images/cloud-native-app-model.png b/images/cloud-native-app-model.png
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diff --git a/index.html b/index.html
index c32c83ced..551ea443e 100644
--- a/index.html
+++ b/index.html
@@ -4578,13 +4578,13 @@
 
      关于本书
      
 
      
   
-    CircleCI
+    CircleCI
   
 
      
 
 
      
   
-    Kubernetes Handbook——Kubernetes 中文指南 / 云原生应用架构实践手册 by Jimmy Song (宋净超）
+    Kubernetes Handbook——Kubernetes 中文指南 / 云原生应用架构实践手册 by Jimmy Song (宋净超）
   
 
      
 
@@ -4626,16 +4626,16 @@
 
 
      License
      
 
      
-  CC4 License
+  CC4 License
 
      
 
 
      署名 - 非商业性使用 - 相同方式共享 4.0 (CC BY-NC-SA 4.0)
      
 
      Stargazers over time
      
-
      Stargazers over time
      图片 - Stargazers over time
      
+
      Stargazers over time
      图片 - Stargazers over time
      
 
      云原生社区
      
 
      云原生社区是一个有技术、有温度、有情怀的开源社区，由 Jimmy 和他的伙伴们 成立于 2020 年 5 月 12 日，秉持 “共识、共治、共建、共享” 的原则。立足中国，面向世界，企业中立，旨在借助开源打破企业的边界，关注技术人的成长，面向全球华人，促进中国云原生开源的发展。云原生官方网站 https://cloudnative.to，关注社区微信公众号，获取加入方式。
      
 
      
-云原生社区微信公众号
+云原生社区微信公众号
 
      
 
 
      云原生出版物
      
@@ -4654,7 +4654,7 @@
 
    3. 《Istio Handbook——Istio 服务网格进阶实战》：ServiceMesher 社区出品的开源电子书
      4. 
 
 
                                 
                                 
@@ -4694,7 +4694,7 @@