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<h1 id="CRI"><a href="#CRI" class="headerlink" title="CRI"></a>CRI</h1><h2 id="简介"><a href="#简介" class="headerlink" title="简介"></a>简介</h2><p>Kubernetes 运行时是支持容器运行时接口（CRI） 的高级容器运行时，CRI 在 Kubernetes 1.5 中引入，并且充当 kubelet 和容器运行时之间的桥梁，并且希望像 Docker、containerd 这样的高级容器运行时实现 CRI 接口。</p>
<p>预期容器运行时支持镜像管理并且支持 Kubernetes Pod，并管理各个容器，所以从要求中也能看出来 Kubernetes 运行时要求的必须是 high-level 运行时，low-level 运行时缺少必要的功能。</p>
<p>为了了解更多关于 CRI 的知识，有必要了解 Kubernetes 的架构，Kubelet 是一个位于 Kubernetes 集群中每个工作节点上的代理，Kubelet 负责管理节点的容器工作负载，在实际运行中，kubelet 使用 CRI 在同一节点上运行的容器运行时进行通信，有个 CRI 这个抽象层，我们可以随时将实际的容器运行时切换到其他实现了 CRI 接口的容器运行时，而不必局限某一种容器运行时，也不必内置于 kubelet 中。</p>
<p>kubernetes 中关于 CRI 架构图</p>
<p><img src="https://user-images.githubusercontent.com/20592210/80918597-64912280-8d98-11ea-92b7-a0c98aefe740.png" alt="image"></p>
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<h1 id="High-level-容器运行时"><a href="#High-level-容器运行时" class="headerlink" title="High-level 容器运行时"></a>High-level 容器运行时</h1><h2 id="简介"><a href="#简介" class="headerlink" title="简介"></a>简介</h2><p>High-level 运行时相对于 Low-level 运行时处于较上层的位置，low-level 运行时负责实际运行容器，high-level 运行时负责传输和管理容器镜像，解压镜像并且传递给 low-level 运行时来运行容器。通常 high-level 运行时提供一个守护进程和一个 API，更上层的应用可以通过他们来运行容器，将实际工作指派给 low-level 运行时或者其他 high-level 运行时。</p>
<p>high-level 运行时还可以提供一些 low-level 运行时的功能，但是这些功能可以让主机上的各个容器使用，例如网络名称空间的管理，运行一个容器加入另一个容器的网络名称空间。</p>
<p>下面这个图表示了各个组件之间的关系。</p>
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2020-04-24
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<h1 id="Docker、containerd、runc-关联和区别"><a href="#Docker、containerd、runc-关联和区别" class="headerlink" title="Docker、containerd、runc 关联和区别"></a>Docker、containerd、runc 关联和区别</h1><h2 id="简介"><a href="#简介" class="headerlink" title="简介"></a>简介</h2><p>关于 Docker 是什么大家可能并不陌生，但是对于 Docker 到底怎么运行的，内部包含的组件我们可能并不是特别清楚，这里我们要先引入一个概念-<em>容器运行时</em></p>
<h2 id="（容器运行时-Docker）？"><a href="#（容器运行时-Docker）？" class="headerlink" title="（容器运行时 == Docker）？"></a>（容器运行时 == Docker）？</h2><p>传统上，计算机程序员可能将“运行时”称为程序运行时的生命周期阶段，或者是支持其执行的语言的特定实现。Java HotSpot运行时就是一个例子。后一个含义最接近“容器运行时”。容器运行时负责运行容器的所有部分，而容器实际上并未在运行程序本身。正如我们将在本系列文章中看到的那样，运行时实现了各种级别的功能，但是实际上运行容器是调用容器运行时所需的全部。</p>
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<a class="post-title-link" href="/2019/06/06/Helm安装GitLabRunner/" itemprop="url">Helm版本GitLab Runner搭建使用</a></h1>
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<h2 id="准备"><a href="#准备" class="headerlink" title="准备"></a>准备</h2><p>已经安装运行一个 <code>Kubernetes</code> 集群。</p>
<h2 id="安装Helm-Client"><a href="#安装Helm-Client" class="headerlink" title="安装Helm Client"></a>安装Helm Client</h2><p>本来想用一键安装脚本安装的，无奈网络太慢</p>
<p>所以先下载 helm 的压缩包</p>
<figure class="highlight shell"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br></pre></td><td class="code"><pre><span class="line">wget https://get.helm.sh/helm-v2.14.0-linux-amd64.tar.gz</span><br><span class="line"></span><br><span class="line"><span class="meta">#</span> 解压</span><br><span class="line">tar -zxvf helm-v2.0.0-linux-amd64.tgz</span><br><span class="line"></span><br><span class="line"><span class="meta">#</span> 移动到/usr/bin目录下</span><br><span class="line">mv linux-amd64/helm /usr/local/bin/helm</span><br></pre></td></tr></table></figure>
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<h2 id="持续集成"><a href="#持续集成" class="headerlink" title="持续集成"></a>持续集成</h2><h3 id="基本概念"><a href="#基本概念" class="headerlink" title="基本概念"></a>基本概念</h3><ul>
<li>持续集成(Continuous Integration)：频繁地(一天多次)将代码集成到主干。让产品可以快速迭代，同时还能保持高质量。它的核心措施是，代码集成到主干之前，必须通过自动化测试。只要有一个测试用例失败，就不能集成。“持续集成并不能消除 Bug，而是让它们非常容易发现和改正。</li>
<li>持续交付(Continuous Delivery)：频繁地将软件的新版本，交付给质量团队或者用户，以供评审。如果评审通过，代码就进入生产阶段。持续交付可以看作持续集成的下一步。它强调的是，不管怎么更新，软件是随时随地可以交付的。</li>
<li>持续部署(continuous Deployment)：代码通过评审以后，自动部署到生产环境。是持续部署是持续交付的下一步，持续部署的目标是，代码在任何时刻都是可部署的，可以进入生产阶段。</li>
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<h3 id="持续集成有哪些优点"><a href="#持续集成有哪些优点" class="headerlink" title="持续集成有哪些优点"></a>持续集成有哪些优点</h3><ul>
<li>每天集成变化的代码，尽早发现风险，尽早估量软件的质量</li>
<li>流程自动化，减少重复性劳动 自动化部署工作可以解放集成、测试、部署等重复性劳动</li>
<li>保持随时部署，能快速反馈bug的修改而不是每次都需要改一段时间之后重新打包部署验证</li>
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