From f029e61eac00ae1365d189d3bb9aae72b42ced0a Mon Sep 17 00:00:00 2001 From: isno Date: Fri, 27 Dec 2024 18:34:55 +0800 Subject: [PATCH] fix typo --- .vuepress/config.js | 5 ++-- application-centric/Controller.md | 17 ++++++------ application-centric/OAM.md | 36 ++++++++++++++------------ application-centric/Operator.md | 1 - application-centric/PaaS.md | 24 +++++++++++++++++ application-centric/conclusion.md | 9 +++---- assets/OAM-app.png | Bin 0 -> 713954 bytes assets/kubevela.jpg | Bin 0 -> 1352329 bytes balance/summary.md | 2 +- consensus/Basic-Paxos.md | 7 ++--- distributed-transaction/idempotent.md | 2 +- 11 files changed, 63 insertions(+), 40 deletions(-) create mode 100644 application-centric/PaaS.md create mode 100644 assets/OAM-app.png create mode 100644 assets/kubevela.jpg diff --git a/.vuepress/config.js b/.vuepress/config.js index a93a7c20..64dd02c5 100644 --- a/.vuepress/config.js +++ b/.vuepress/config.js @@ -277,7 +277,6 @@ export default defineUserConfig({ '/ServiceMesh/data-plane.md', '/ServiceMesh/control-plane.md', '/ServiceMesh/overview.md', - '/ServiceMesh/ServiceMesh-and-Kubernetes.md', '/ServiceMesh/The-future-of-ServiceMesh.md', '/ServiceMesh/conclusion.md', ] @@ -311,8 +310,8 @@ export default defineUserConfig({ collapsable: false, sidebarDepth: 1, children: [ + '/application-centric/PaaS.md', '/application-centric/Controller.md', - '/application-centric/IaD.md', { text: "10.3 从“构建抽象”到“应用模型”", link: '/application-centric/app-model.md', @@ -320,9 +319,9 @@ export default defineUserConfig({ '/application-centric/Kustomize.md', '/application-centric/Helm.md', '/application-centric/Operator.md', + '/application-centric/OAM.md', ] }, - '/application-centric/GitOps.md', '/application-centric/conclusion.md', ] } diff --git a/application-centric/Controller.md b/application-centric/Controller.md index 5a0b00f6..2ed68d0c 100644 --- a/application-centric/Controller.md +++ b/application-centric/Controller.md @@ -1,4 +1,4 @@ -# 10.1 声明式应用管理 +# 10.2 声明式应用管理的本质 Kubernetes 与其他技术项目最大的不同是“声明式应用管理”。 @@ -21,9 +21,9 @@ Kubernetes 中有多种类型的控制器,例如 Deployment Controller、Repli ## 10.1.2 基础设施即数据思想 -上述操作体系的理论基础,是一种叫做 IaD(Infrastructure as Data,基础设施即数据)的思想。这种思想认为,基础设施的管理不应该耦合于某种编程语言或者配置方式,而应该是纯粹的、格式化的、系统可读的数据,并且这些数据能够完整的表征使用者所期望的系统状态。 +“控制器模式”体系的理论基础,是一种叫做 IaD(Infrastructure as Data,基础设施即数据)的思想。 -这种思想的优势在于,对基础设施实施的任何操作,本质上都等同于对数据执行 “增、删、改、查” 操作。更为关键的是,这些数据 “增、删、改、查” 的实现方式,与基础设施本身毫无关系。这意味着,操作方式不会受限于特定的编程语言、远程调用协议或软件开发工具包(SDK)。只要能够生成符合对应格式的 “数据”,便可以 “随心所欲” 地采用任何你偏好的方式来完成对基础设施的操作 。 +IaD 思想主张,基础设施的管理应脱离特定的编程语言或配置方式,而采用纯粹、格式化、系统可读的数据形式。这些数据能够完整地描述用户期望的系统状态。这种思想的优势在于,对基础设施的所有操作本质上等同于对数据的“增、删、改、查”。更重要的是,这些操作的实现方式与基础设施本身无关,不受限于特定的编程语言、远程调用协议或 SDK。只要生成符合格式要求的“数据”,便可以“随心所欲”地采用任何你偏好的方式管理基础设施。 IaD 思想在 Kubernetes 上的体现,就是执行任何操作,只需要提交一个 YAML 文件,然后对 YAML 文件增、删、查、改即可,而不是必须使用 Kubernetes SDK 或者 Restful API。这个 YAML 文件其实就对应了 IaD 中的 Data。 @@ -53,16 +53,15 @@ spec: |COLUMN|property|表里面的列,有 string、boolean 等多种类型| |rows|resources|表中的一个具体记录| -Kubernetes 在 v1.7 版本开始支持 CRD(Custom Resource Definitions,自定义资源定义),实质上是允许用户定义自己的资源类型,扩展 Kubernetes API,将复杂的业务需求抽象为 Kubernetes 的原生对象。 + +所以说,Kubernetes v1.7 版本支持 CRD(Custom Resource Definitions,自定义资源定义),实质上是允许用户定义自己的资源类型,,扩展 Kubernetes API,将复杂的业务需求抽象为 Kubernetes 的原生对象。 + +有了 CRD,用户便不再受制于 Kubernetes 内置资源的表达能力,自定义出数据库、Task Runner、消息总线、数字证书...。加上自定义的“控制器”,便可把“能力”移植到 Kubernetes 中,并以 Kubernetes 统一的方式暴漏给上层用户。 :::center ![](../assets/CRD.webp)
图 10-10 CRD ::: -CRD 加上自定义的“控制器”,便不在受制于 Kubernetes 内置资源的表达能力。例如、持续集成 CRD(Tekton)、持续部署 CRD(ArgoCD)、管理应用伸缩 CRD(Keda)、微服务通信治理(Istio)、监控(Prometheus)“能力”移植到 Kubernetes 中。 - - -至此,相信读者已经理解了:IaD 思想中的 Data 具体表现其实就是声明式的 Kubernetes API 对象,而 Kubernetes 中的控制循环确保系统状态始终跟这些 Data 所描述的状态保持一致。从这一点讲,Kubernetes 的本质是一个以“数据”(Data)表达系统的设定值,通过“控制器”(Controller)的动作来让系统维持在设定值的调谐系统。 +至此,相信读者已经理解了:IaD 思想中的 Data 具体表现其实就是声明式的 Kubernetes API 对象,而 Kubernetes 中的控制循环确保系统状态始终跟这些 Data 所描述的状态保持一致。从这一点讲,Kubernetes 的本质是一个以“数据”(Data)表达系统的设定值,通过“控制器”(Controller)的动作来让系统维持在设定值的“调谐”系统。 -今天我们在使用 Kubernetes 的时候之所以要写那么多 YAML 文件,其实是因为我们需要通过一种方式把 Data 提交给 Kubernetes 这个控制系统。而在这个过程中,YAML 只是一种为了让人类能够格式化的编写 Data 的一个载体。 \ No newline at end of file diff --git a/application-centric/OAM.md b/application-centric/OAM.md index 2bcacc70..96458f56 100644 --- a/application-centric/OAM.md +++ b/application-centric/OAM.md @@ -1,30 +1,34 @@ # 10.3.5 OAM -前面介绍的 Helm、Kustomize、CRD + Operator 在各自领域很好的承载一个“组件”的概念,但它们都没有解决一个完整的、面向业务场景的“应用”问题。 +前面介绍的 Helm、Kustomize、CRD + Operator 在各自领域很好的承载一个“组件”的概念。但对于一个完整的“应用”,即面向具体业务场景的定义、部署和运行需求,仍旧缺乏系统化的解决方案。 -OAM 的全称为开放应用模型(Open Application Model),由阿里巴巴联合微软共同推出。 +OAM 的全称为开放应用模型(Open Application Model),由阿里巴巴联合微软共同推出,提供了一种大家都可以遵循的、标准化的方式来定义更高层级的应用层抽象,并且把“关注点分离”(Separation of Concerns)作为这个应用模型的核心思想。 -- Open,开放与云服务供应商无关。定义的开放标准应该是一套更高级别的抽象,可以跨越本地集群、异构平台、云服务提供商,不会被锁定到任何一个厂商的底座。 -- Application,应用为先。一个应用的交付与部署应该是自包含的,其中的各类操作行为应该作为应用定义的一部分,这些内容与实际的基础设施无关。 -- Model,标准的开放模型。模块化整个应用交付流程,根据个人的需要将这些模块自由组装,达成自己想要的结果。 +OAM 有两个部分:OAM 规范、OAM 规范的 Kubernetes 实现。 +详细的说,OAM 规范是基于自定义资源讲原先 All-in-One 的复杂配置做了一定层次的解耦,它强调一个现代应用是多个“组件”(Component)的集合,而非一个简单的工作负载或者 K8s Operator。更进一步的,OAM 把这个应用所需的“运维策略”(Trait)也认为是一个应用的一部分,在 OAM 中,一个应用程序包含三个核心理念: +- 第一个核心理念是组成应用程序的组件(Component),它可能包含微服务集合、数据库和云负载均衡器; +- 第二个核心理念是描述应用程序运维特征(Trait)的集合,例如,弹性伸缩和 Ingress 等功能。它们对应用程序的运行至关重要,但在不同环境中其实现方式各不相同; +- 最后,为了将这些描述转化为具体的应用程序,运维人员使用应用配置(Application Configuration)来组合组件和相应的特征,以构建应部署的应用程序的具体实例。 -在 OAM 体系中大致分了三个角色,分别为: +不同角色分工协作,整体上简化单个角色关注的内容,使得不同角色可以更聚焦更专业的做好本角色的工作。 -基础设施运维人员 -负责开发、安装和维护各种 Kubernetes 级别的功能。具体工作包括但不限于维护大规模的 K8s 集群、实现控制器/Operator,以及开发各种 K8s 插件。在公司内部,我们通常被称为“平台团队(Platform Builder) -业务研发人员 -以代码形式传递业务价值。大多数业务研发都对基础设施或 K8s 不甚了解,他们与 PaaS 和 CI 流水线交互以管理其应用程序。业务研发人员的生产效率对公司而言价值巨大。 -应用运维人员 -为业务研发人员提供有关集群容量、稳定性和性能的专业知识,帮助业务研发人员大规模配置、部署和运行应用程序(例如,更新、扩展、恢复)。请注意,尽管应用运维人员对 K8s 的 API 和功能具有一定了解,但他们并不直接在 K8s 上工作。在大多数情况下,他们利用 PaaS 系统为业务研发人员提供基础 K8s 功能。在这种情况下,许多应用运维人员实际上也是 PaaS 工程人员。 +:::center + ![](../assets/OAM-app.png)
+ 图 4-0 OAM +::: +OAM 在社区的众多用户呼声下诞生。KubeVela 在“关注点分离”的核心思想之上,把平台的用户分成两种角色: +- **平台构建者**:准备应用部署环境,维护稳定可靠的基础设施功能(如 MySQL Operator),并将基础设施能力作为“KubeVela 模块定义“注册到集群中。 +- **最终用户**:即业务应用的开发者,他们选择部署环境、挑选能力模块、填写业务参数组装成 KubeVela 应用。使用平台的过程中,无需关心基础设施细节。 -OAM 使用自定义资源将原先 All-in-One 的复杂配置做了一定层次的解耦,开发工程师管理 Component、运维工程师将 Component 组合并绑定 Trait 变成 AppConfig;平台工程师提供 OAM 的解释能力,将上述自定义资源映射到实际的基础设施;不同角色分工协作,整体上简化单个角色关注的内容,使得不同角色可以更聚焦更专业的做好本角色的工作。 +整个工作流程如下图。 :::center - ![](../assets/OAM-how-it-works.png)
+ ![](../assets/kubevela.jpg)
图 4-0 OAM ::: -- 组件(Component): -- 运维特征(运维特征):运维特征是可以随时绑定给待部署组件的模块化、可拔插的运维能力,比如:副本数调整、数据持久化、设置网关策略、自动设置 DNS 解析等。用户可以从社区获取成熟的能力,也可以自行定义。 \ No newline at end of file +相比于传统的 “PaaS” 项目,KubeVela 这种基于 OAM 和 Kubernetes 构建的云原生应用平台,本质是“应用为中心的” Kubernetes,保证端到端接入整个云原生生态能力。同时,还为最终用户降低心智负担,带来媲美 PaaS 应用管理与交付体验。 + +[^1]: https://zh.wikipedia.org/wiki/%E4%BF%A1%E6%81%AF%E7%83%9F%E5%9B%B1 \ No newline at end of file diff --git a/application-centric/Operator.md b/application-centric/Operator.md index 870dfa2f..cfdffb30 100644 --- a/application-centric/Operator.md +++ b/application-centric/Operator.md @@ -36,7 +36,6 @@ Operator 本身在实现上,其实是在 Kubernetes 声明式 API 基础上的 就是把运维的经验沉淀为代码,实现运维的代码化、自动化、智能化。以往的高可用、扩展收缩,以及故障恢复等等运维操作,都通过 Operator 进行沉淀下来。 - Red Hat 今天与 AWS、Google Cloud 和 Microsoft 合作推出了 OperatorHub.io。 :::center diff --git a/application-centric/PaaS.md b/application-centric/PaaS.md new file mode 100644 index 00000000..f89a47e5 --- /dev/null +++ b/application-centric/PaaS.md @@ -0,0 +1,24 @@ +# 10.1 “以应用为中心”的设计 + +究其原因,其实在于 Kubernetes 中的核心概念与体系,如:Pod、sidecar、Service、资源管理、调度算法和 CRD 等等,主要是面向平台团队而非最终用户设计(如:应用开发人员)。 + +为了解决这个问题,很多公司落地 Kubernetes 的时候采用了 “PaaS” 化的思路,即在 Kubernetes 之上,开发一个类 PaaS 平台。 + +但这个设计,跟 Kubernetes “以应用为中心”的设计不一致,Kubernetes 一旦退化成“类IaaS 基础设施”,它的声明式 API、容器设计模式、控制器模式根本无法发挥原本的实力,也很难接入更广泛的生态。 + +这个问题在 PaaS 系统上的体现就是不具备扩展性。假设我们要满足以下诉求: + +- 能不能帮我运行一个定时任务 +- 能不能帮我运运行一个 MySQL Operator +- 能不能根据自定义 metrics 定义水平扩容策略 +- 能不能基于 Istio 来帮我做渐进式灰度发布 +- 能不能... + +这里的关键点在于,上述能力在 Kubernetes 生态中都是非常常见的的能力,有的甚至是 Kubernetes 内置就可以支持。但是到了 PaaS 这里,要支持上述任何一个能力,都必须对 PaaS 进行一轮开发。而且由于先前的一些假设和设计,甚至很可能需要大规模的重构。 + +具体来说,以“应用为中心”的基础设施: + +只有让研发通过他自己的视角来定义应用,而不是定义 Kubernetes API 对象,才能从根本上解决 Kubernetes 使用者“错位”带来的各种问题。 + + +符合以“应用为中心”的软件,从研发而不是基础设施的视角自描绘 \ No newline at end of file diff --git a/application-centric/conclusion.md b/application-centric/conclusion.md index 0dd45fac..ce29b438 100644 --- a/application-centric/conclusion.md +++ b/application-centric/conclusion.md @@ -1,11 +1,8 @@ -# 10.7 小结 +# 10.4 小结 本章,通过介绍 GitOps 理念,并扩展讨论如何在 Pod 内构建镜像、如何使用 Pod 组织 CI 流水线、如何通过 Argo CD 实施持续交付。相信,你已理解如何构建基于 Kubernetes 为底座的 CI/CD 系统。 至于产生落地中,你或许想要 Argo CD 换成 Flux CD、Tekton 换成 Jenkins X,还有那些代码质量检测、渐进式交付的集成等等,这对你而言,肯定也不再是什么困难的事情。 -参考文档: -- https://www.gitops.tech/ -- 《利用 Tekton + ArgoCD 打造云原生 GitSecOps》 https://majinghe.github.io/devsecops/gitops/ -- 《Enhance your Docker image build pipeline with Kaniko》https://medium.com/01001101/enhance-your-docker-image-build-pipeline-with-kaniko-567afb6cf97c -- 《Creating CI Pipelines with Tekton》https://www.arthurkoziel.com/creating-ci-pipelines-with-tekton-part-1/ \ No newline at end of file +一个应用要在世界上任何一个地方运行起来,唯一要做的,就是声明“我是什么”、“我要什么”。在那个时候,所有基础设施的概念,包括 Kubernetes、Istio、Knative 统统消失不见。 + diff --git a/assets/OAM-app.png b/assets/OAM-app.png new file mode 100644 index 0000000000000000000000000000000000000000..dadade48e5b7339406be0739aff4635156c49080 GIT binary patch literal 713954 zcmeEuXH=8h)-HlzL#&9Q3tN#E1f*9*WGez9Ce(lsLhk_r(nJ)Ms#1bfu>jJ03sp*# 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