zh-trans:/docs/tasks/debug-application-cluster/logging-elasticsearch-kibana.md (#12001)
zh-trans:/docs/tasks/debug-application-cluster/logging-elasticsearch-kibana.md
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---
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reviewers:
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- piosz
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- x13n
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content_template: templates/concept
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title: 使用 ElasticSearch 和 Kibana 进行日志管理
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---
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<!--
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---
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reviewers:
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- piosz
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- x13n
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content_template: templates/concept
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title: Logging Using Elasticsearch and Kibana
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---
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-->
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{{% capture overview %}}
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<!--
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On the Google Compute Engine (GCE) platform, the default logging support targets
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[Stackdriver Logging](https://cloud.google.com/logging/), which is described in detail
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in the [Logging With Stackdriver Logging](/docs/user-guide/logging/stackdriver).
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-->
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在 Google Compute Engine (GCE) 平台上，默认的日志管理支持目标是 [Stackdriver Logging](https://cloud.google.com/logging/)，在 [使用 Stackdriver Logging 管理日志](/docs/user-guide/logging/stackdriver)中详细描述了这一点。
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<!--
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This article describes how to set up a cluster to ingest logs into
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[Elasticsearch](https://www.elastic.co/products/elasticsearch) and view
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them using [Kibana](https://www.elastic.co/products/kibana), as an alternative to
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Stackdriver Logging when running on GCE.
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-->
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本文介绍了如何设置一个集群，将日志导入[Elasticsearch](https://www.elastic.co/products/elasticsearch)，并使用 [Kibana](https://www.elastic.co/products/kibana) 查看日志，作为在 GCE 上运行应用时使用 Stackdriver Logging 管理日志的替代方案。
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{{< note >}}
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<!--
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You cannot automatically deploy Elasticsearch and Kibana in the Kubernetes cluster hosted on Google Kubernetes Engine. You have to deploy them manually.
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-->
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您不能在 Google Kubernetes Engine 平台运行的 Kubernetes 集群上自动的部署 Elasticsearch 和 Kibana。您必须手动部署它们。
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{{< /note >}}
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{{% /capture %}}
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{{% capture body %}}
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<!--
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To use Elasticsearch and Kibana for cluster logging, you should set the
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following environment variable as shown below when creating your cluster with
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kube-up.sh:
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-->
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要使用 Elasticsearch 和 Kibana 处理集群日志，您应该在使用 kube-up.sh 脚本创建集群时设置下面所示的环境变量：
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```shell
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KUBE_LOGGING_DESTINATION=elasticsearch
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```
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<!--
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You should also ensure that `KUBE_ENABLE_NODE_LOGGING=true` (which is the default for the GCE platform).
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-->
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您还应该确保设置了 `KUBE_ENABLE_NODE_LOGGING=true` （这是 GCE 平台的默认设置）。
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<!--
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Now, when you create a cluster, a message will indicate that the Fluentd log
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collection daemons that run on each node will target Elasticsearch:
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-->
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现在，当您创建集群时，将有一条消息将指示每个节点上运行的 Fluentd 日志收集守护进程以 ElasticSearch 为日志输出目标：
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```shell
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$ cluster/kube-up.sh
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...
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Project: kubernetes-satnam
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Zone: us-central1-b
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... calling kube-up
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Project: kubernetes-satnam
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Zone: us-central1-b
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+++ Staging server tars to Google Storage: gs://kubernetes-staging-e6d0e81793/devel
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+++ kubernetes-server-linux-amd64.tar.gz uploaded (sha1 = 6987c098277871b6d69623141276924ab687f89d)
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+++ kubernetes-salt.tar.gz uploaded (sha1 = bdfc83ed6b60fa9e3bff9004b542cfc643464cd0)
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Looking for already existing resources
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Starting master and configuring firewalls
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Created [https://www.googleapis.com/compute/v1/projects/kubernetes-satnam/zones/us-central1-b/disks/kubernetes-master-pd].
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NAME ZONE SIZE_GB TYPE STATUS
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kubernetes-master-pd us-central1-b 20 pd-ssd READY
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Created [https://www.googleapis.com/compute/v1/projects/kubernetes-satnam/regions/us-central1/addresses/kubernetes-master-ip].
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+++ Logging using Fluentd to elasticsearch
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```
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<!--
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The per-node Fluentd pods, the Elasticsearch pods, and the Kibana pods should
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all be running in the kube-system namespace soon after the cluster comes to
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life.
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-->
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每个节点的 Fluentd pod、Elasticsearch pod 和 Kibana pod 都应该在集群启动后不久运行在 kube-system 命名空间中。
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```shell
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$ kubectl get pods --namespace=kube-system
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NAME READY STATUS RESTARTS AGE
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elasticsearch-logging-v1-78nog 1/1 Running 0 2h
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elasticsearch-logging-v1-nj2nb 1/1 Running 0 2h
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fluentd-elasticsearch-kubernetes-node-5oq0 1/1 Running 0 2h
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fluentd-elasticsearch-kubernetes-node-6896 1/1 Running 0 2h
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fluentd-elasticsearch-kubernetes-node-l1ds 1/1 Running 0 2h
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fluentd-elasticsearch-kubernetes-node-lz9j 1/1 Running 0 2h
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kibana-logging-v1-bhpo8 1/1 Running 0 2h
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kube-dns-v3-7r1l9 3/3 Running 0 2h
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monitoring-heapster-v4-yl332 1/1 Running 1 2h
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monitoring-influx-grafana-v1-o79xf 2/2 Running 0 2h
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```
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<!--
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The `fluentd-elasticsearch` pods gather logs from each node and send them to
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the `elasticsearch-logging` pods, which are part of a
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[service](/docs/concepts/services-networking/service/) named `elasticsearch-logging`. These
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Elasticsearch pods store the logs and expose them via a REST API.
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The `kibana-logging` pod provides a web UI for reading the logs stored in
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Elasticsearch, and is part of a service named `kibana-logging`.
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-->
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`fluentd-elasticsearch` pod 从每个节点收集日志并将其发送到 `elasticsearch-logging` pods，该 pod 是名为 `elasticsearch-logging` 的[服务](/docs/concepts/services-networking/service/)的一部分。
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这些 ElasticSearch pod 存储日志，并通过 REST API 将其公开。
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`kibana-logging` pod 提供了一个用于读取 ElasticSearch 中存储的日志的 Web UI，它是名为 `kibana-logging` 的服务的一部分。
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<!--
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The Elasticsearch and Kibana services are both in the `kube-system` namespace
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and are not directly exposed via a publicly reachable IP address. To reach them,
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follow the instructions for [Accessing services running in a cluster](/docs/concepts/cluster-administration/access-cluster/#accessing-services-running-on-the-cluster).
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-->
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Elasticsearch 和 Kibana 服务都位于 `kube-system` 命名空间中，并且没有通过可公开访问的 IP 地址直接暴露。
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要访问它们，请参照[访问集群中运行的服务](/docs/concepts/cluster-administration/access-cluster/#accessing-services-running-on-the-cluster)的说明进行操作。
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<!--
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If you try accessing the `elasticsearch-logging` service in your browser, you'll
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see a status page that looks something like this:
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-->
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如果你想在浏览器中访问 `elasticsearch-logging` 服务，你将看到类似下面的状态页面：
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<!--
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You can now type Elasticsearch queries directly into the browser, if you'd
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like. See [Elasticsearch's documentation](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-uri-request.html)
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for more details on how to do so.
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-->
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现在你可以直接在浏览器中输入 Elasticsearch 查询，如果你愿意的话。
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请参考 [Elasticsearch 的文档](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-uri-request.html) 以了解这样做的更多细节。
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<!--
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Alternatively, you can view your cluster's logs using Kibana (again using the
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[instructions for accessing a service running in the cluster](/docs/user-guide/accessing-the-cluster/#accessing-services-running-on-the-cluster)).
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The first time you visit the Kibana URL you will be presented with a page that
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asks you to configure your view of the ingested logs. Select the option for
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timeseries values and select `@timestamp`. On the following page select the
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`Discover` tab and then you should be able to see the ingested logs.
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You can set the refresh interval to 5 seconds to have the logs
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regularly refreshed.
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-->
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或者，您可以使用 Kibana 查看集群的日志（再次使用[访问集群中运行的服务的说明](/docs/user-guide/accessing-the-cluster/#accessing-services-running-on-the-cluster)）。
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第一次访问 Kibana URL 时，将显示一个页面，要求您配置所接收日志的视图。
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选择时间序列值的选项，然后选择 `@timestamp`。
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在下面的页面中选择 `Discover` 选项卡，然后您应该能够看到所摄取的日志。
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您可以将刷新间隔设置为 5 秒，以便定期刷新日志。
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<!--
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Here is a typical view of ingested logs from the Kibana viewer:
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-->
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以下是从 Kibana 查看器中摄取日志的典型视图：
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{{% /capture %}}
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{{% capture whatsnext %}}
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<!--
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Kibana opens up all sorts of powerful options for exploring your logs! For some
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ideas on how to dig into it, check out [Kibana's documentation](https://www.elastic.co/guide/en/kibana/current/discover.html).
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-->
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Kibana 为浏览您的日志提供了各种强大的选项！有关如何深入研究它的一些想法，请查看 [Kibana 的文档](https://www.elastic.co/guide/en/kibana/current/discover.html)。
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{{% /capture %}}
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