104 lines
5.0 KiB
Markdown
104 lines
5.0 KiB
Markdown
---
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assignees:
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- lavalamp
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- satnam6502
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---
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On the Google Compute Engine (GCE) platform, the default logging support targets
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[Google Cloud Logging](https://cloud.google.com/logging/) as described in the
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[Logging](/docs/getting-started-guides/logging) getting-started guide. Here we
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describe how to set up a cluster to ingest logs into
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[Elasticsearch](https://github.com/elastic/elasticsearch) and view
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them using [Kibana](https://github.com/elastic/kibana) as an alternative to
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Google Cloud Logging when running on GCE (note that this will not work as
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written for Google Container Engine).
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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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```shell
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KUBE_LOGGING_DESTINATION=elasticsearch
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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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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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```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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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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```shell
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$ kubectl get pods --namespace=kube-system
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NAME READY REASON 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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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/user-guide/services/) 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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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/user-guide/accessing-the-cluster/#accessing-services-running-on-the-cluster).
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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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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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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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Here is a typical view of ingested logs from the Kibana viewer:
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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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