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kyverno/vendor/k8s.io/kubernetes/cluster/addons/fluentd-elasticsearch/README.md

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2019-10-23 23:19:53 -07:00
# Elasticsearch Add-On
This add-on consists of a combination of [Elasticsearch][elasticsearch],
[Fluentd][fluentd] and [Kibana][kibana]. Elasticsearch is a search engine
that is responsible for storing our logs and allowing for them to be queried.
Fluentd sends log messages from Kubernetes to Elasticsearch, whereas Kibana
is a graphical interface for viewing and querying the logs stored in
Elasticsearch.
**Note:** this addon should **not** be used as-is in production. This is
an example and you should treat it as such. Please see at least the
[Security](#security) and the [Storage](#storage) sections for more
information.
## Elasticsearch
Elasticsearch is deployed as a [StatefulSet][statefulSet], which is like
a Deployment, but allows for maintaining state on storage volumes.
### Security
Elasticsearch has capabilities to enable authorization using the [X-Pack
plugin][xPack]. For the sake of simplicity this example uses the fully open
source prebuild images from elastic that do not contain the X-Pack plugin. If
you need these features, please consider building the images from either the
"basic" or "platinum" version. After enabling these features, follow [official
documentation][setupCreds] to set up credentials in Elasticsearch and Kibana.
Don't forget to propagate those credentials also to Fluentd in its
[configuration][fluentdCreds], using for example [environment
variables][fluentdEnvVar]. You can utilize [ConfigMaps][configMap] and
[Secrets][secret] to store credentials in the Kubernetes apiserver.
### Initialization
The Elasticsearch StatefulSet manifest specifies that there shall be an
[init container][initContainer] executing before Elasticsearch containers
themselves, in order to ensure that the kernel state variable
`vm.max_map_count` is at least 262144, since this is a requirement of
Elasticsearch. You may remove the init container if you know that your host
OS meets this requirement.
### Storage
The Elasticsearch StatefulSet will use the [EmptyDir][emptyDir] volume to
store data. EmptyDir is erased when the pod terminates, here it is used only
for testing purposes. **Important:** please change the storage to persistent
volume claim before actually using this StatefulSet in your setup!
## Fluentd
Fluentd is deployed as a [DaemonSet][daemonSet] which spawns a pod on each
node that reads logs, generated by kubelet, container runtime and containers
and sends them to Elasticsearch.
Learn more in the [official Kubernetes documentation][k8sElasticsearchDocs].
## Building
Both images are now being hosted in google cloud and are built via the
[cloud build](https://cloud.google.com/cloud-build/) product. To build these
images yourself you will need to have the [gcloud sdk](https://cloud.google.com/sdk/install)
installed and you will need to login. You can then run `make` in either
image directory to trigger a container build.
### Known problems
Since Fluentd talks to the Elasticsearch service inside the cluster, instances
on masters won't work, because masters have no kube-proxy. Don't mark masters
with the label mentioned in the previous paragraph or add a taint on them to
avoid Fluentd pods scheduling there.
[fluentd]: http://www.fluentd.org/
[elasticsearch]: https://www.elastic.co/products/elasticsearch
[kibana]: https://www.elastic.co/products/kibana
[xPack]: https://www.elastic.co/products/x-pack
[setupCreds]: https://www.elastic.co/guide/en/x-pack/current/setting-up-authentication.html#reset-built-in-user-passwords
[fluentdCreds]: https://github.com/uken/fluent-plugin-elasticsearch#user-password-path-scheme-ssl_verify
[fluentdEnvVar]: https://docs.fluentd.org/v0.12/articles/faq#how-can-i-use-environment-variables-to-configure-parameters-dynamically
[configMap]: https://kubernetes.io/docs/tasks/configure-pod-container/configure-pod-configmap/
[secret]: https://kubernetes.io/docs/concepts/configuration/secret/
[statefulSet]: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset
[initContainer]: https://kubernetes.io/docs/concepts/workloads/pods/init-containers/
[emptyDir]: https://kubernetes.io/docs/concepts/storage/volumes#emptydir
[daemonSet]: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
[k8sElasticsearchDocs]: https://kubernetes.io/docs/tasks/debug-application-cluster/logging-elasticsearch-kibana
[![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/cluster/addons/fluentd-elasticsearch/README.md?pixel)]()
## Running EFK stack in production
The configurations provided here, for Elasticsearch, Fluentd & Kibana (EFK),
are a starting point and should not be considered to be production ready.
If you like to run these tools in a production environment you could use the
[Helm](https://helm.sh) charts, provided by the Helm community, which are used
by a lot of people and therefore are widely tested. You can find them all via the
[Helm Hub](https://hub.helm.sh/).
The source of the mentioned charts can be found here:
* [Elasticsearch](https://github.com/helm/charts/tree/master/stable/elasticsearch)
* [Fluentd-elasticsearch](https://github.com/kiwigrid/helm-charts/tree/master/charts/fluentd-elasticsearch)
* [Kibana](https://github.com/helm/charts/tree/master/stable/kibana)