Merge pull request #25045 from tengqm/zh-sync-workloads-index
[zh] Resync concepts/workloads/_index.md
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@ -3,3 +3,116 @@ title: "工作负载"
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weight: 50
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description: 理解 Pods,Kubernetes 中可部署的最小计算对象,以及辅助它运行它们的高层抽象对象。
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---
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<!--
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title: "Workloads"
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weight: 50
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description: >
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Understand Pods, the smallest deployable compute object in Kubernetes, and the higher-level abstractions that help you to run them.
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no_list: true
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-->
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{{< glossary_definition term_id="workload" length="short" >}}
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<!--
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Whether your workload is a single component or several that work together, on Kubernetes you run
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it inside a set of [Pods](/docs/concepts/workloads/pods).
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In Kubernetes, a Pod represents a set of running {{< glossary_tooltip text="containers" term_id="container" >}}
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on your cluster.
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A Pod has a defined lifecycle. For example, once a Pod is running in your cluster then
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a critical failure on the {{< glossary_tooltip text="node" term_id="node" >}} where that
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Pod is running means that all the Pods on that node fail. Kubernetes treats that level
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of failure as final: you would need to create a new Pod even if the node later recovers.
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-->
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无论你的负载是单一组件还是由多个一同工作的组件构成,在 Kubernetes 中你
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可以在一组 [Pods](/zh/docs/concepts/workloads/pods) 中运行它。
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在 Kubernetes 中,Pod 代表的是集群上处于运行状态的一组
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{{< glossary_tooltip text="容器" term_id="container" >}}。
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Pod 有确定的生命周期。例如,一旦某 Pod 在你的集群中运行,Pod 运行所在的
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{{< glossary_tooltip text="节点" term_id="node" >}} 出现致命错误时,
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所有该节点上的 Pods 都会失败。Kubernetes 将这类失败视为最终状态:
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即使节点后来恢复正常运行,你也需要创建新的 Pod。
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<!--
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However, to make life considerably easier, you don't need to manage each Pod directly.
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Instead, you can use _workload resources_ that manage a set of Pods on your behalf.
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These resources configure {{< glossary_tooltip term_id="controller" text="controllers" >}}
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that make sure the right number of the right kind of Pod are running, to match the state
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you specified.
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Those workload resources include:
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-->
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不过,为了让用户的日子略微好过一些,你并不需要直接管理每个 Pod。
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相反,你可以使用 _负载资源_ 来替你管理一组 Pods。
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这些资源配置 {{< glossary_tooltip term_id="controller" text="控制器" >}}
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来确保合适类型的、处于运行状态的 Pod 个数是正确的,与你所指定的状态相一致。
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这些工作负载资源包括:
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<!--
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* [Deployment](/docs/concepts/workloads/controllers/deployment/) and [ReplicaSet](/docs/concepts/workloads/controllers/replicaset/)
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(replacing the legacy resource {{< glossary_tooltip text="ReplicationController" term_id="replication-controller" >}});
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* [StatefulSet](/docs/concepts/workloads/controllers/statefulset/);
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* [DaemonSet](/docs/concepts/workloads/controllers/daemonset/) for running Pods that provide
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node-local facilities, such as a storage driver or network plugin;
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* [Job](/docs/concepts/workloads/controllers/job/) and
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[CronJob](/docs/concepts/workloads/controllers/cron-jobs/)
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for tasks that run to completion.
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-->
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* [Deployment](/zh/docs/concepts/workloads/controllers/deployment/) 和
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[ReplicaSet](/zh/docs/concepts/workloads/controllers/replicaset/)
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(替换原来的资源 {{< glossary_tooltip text="ReplicationController" term_id="replication-controller" >}});
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* [StatefulSet](/zh/docs/concepts/workloads/controllers/statefulset/);
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* 用来运行提供节点本地支撑设施(如存储驱动或网络插件)的 Pods 的
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[DaemonSet](/zh/docs/concepts/workloads/controllers/daemonset/);
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* 用来执行运行到结束为止的
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[Job](/zh/docs/concepts/workloads/controllers/job/) 和
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[CronJob](/zh/docs/concepts/workloads/controllers/cron-jobs/)。
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<!--
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There are also two supporting concepts that you might find relevant:
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* [Garbage collection](/docs/concepts/workloads/controllers/garbage-collection/) tidies up objects
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from your cluster after their _owning resource_ has been removed.
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* The [_time-to-live after finished_ controller](/docs/concepts/workloads/controllers/ttlafterfinished/)
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removes Jobs once a defined time has passed since they completed.
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-->
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你可能发现还有两种支撑概念很有用:
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* [垃圾收集](/zh/docs/concepts/workloads/controllers/garbage-collection/)机制负责在
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对象的 _属主资源_ 被删除时在集群中清理这些对象。
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* [_结束后存在时间_ 控制器](/zh/docs/concepts/workloads/controllers/ttlafterfinished/)
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会在 Job 结束之后的指定时间间隔之后删除它们。
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## {{% heading "whatsnext" %}}
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<!--
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As well as reading about each resource, you can learn about specific tasks that relate to them:
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* [Run a stateless application using a Deployment](/docs/tasks/run-application/run-stateless-application-deployment/)
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* Run a stateful application either as a [single instance](/docs/tasks/run-application/run-single-instance-stateful-application/)
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or as a [replicated set](/docs/tasks/run-application/run-replicated-stateful-application/)
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* [Run Automated Tasks with a CronJob](/docs/tasks/job/automated-tasks-with-cron-jobs/)
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-->
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除了阅读了解每类资源外,你还可以了解与这些资源相关的任务:
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* [使用 Deployment 运行一个无状态的应用](/zh/docs/tasks/run-application/run-stateless-application-deployment/)
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* 以[单实例](/zh/docs/tasks/run-application/run-single-instance-stateful-application/)
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或者[多副本集合](/zh/docs/tasks/run-application/run-replicated-stateful-application/)
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的形式运行有状态的应用;
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* [使用 CronJob 运行自动化的任务](/zh/docs/tasks/job/automated-tasks-with-cron-jobs/)
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<!--
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Once your application is running, you might want to make it available on the internet as
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a [Service](/docs/concepts/services-networking/service/) or, for web application only,
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using an [Ingress](/docs/concepts/services-networking/ingress).
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You can also visit [Configuration](/docs/concepts/configuration/) to learn about Kubernetes'
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mechanisms for separating code from configuration.
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-->
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一旦你的应用处于运行状态,你就可能想要
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以[服务](/zh/docs/concepts/services-networking/service/)
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使之在互联网上可访问;或者对于 Web 应用而言,使用
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[Ingress](/docs/concepts/services-networking/ingress) 资源将其暴露到互联网上。
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