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[DOC] Resources management and volume claim template (#1252)
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* Add resources and persistent volume templates documentation
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barkbay committed Jul 22, 2019
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39 changes: 39 additions & 0 deletions docs/elasticsearch-spec.asciidoc
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Expand Up @@ -50,6 +50,45 @@ spec:

For more information on Elasticsearch settings, see https://www.elastic.co/guide/en/elasticsearch/reference/current/settings.html[Configuring Elasticsearch].

[id="{p}-volume-claim-templates"]
=== Volume Claim Templates

By default the operator creates a https://kubernetes.io/docs/concepts/storage/persistent-volumes/[`PersistentVolumeClaim`] with a capacity of 1Gi for every Pod in an Elasticsearch cluster. This is to ensure that there is no data loss if a Pod is deleted.

You can customize the volume claim templates used by Elasticsearch to adjust the storage to your needs, the name in the template must be `elasticsearch-data`:

[source,yaml]
----
spec:
nodes:
- volumeClaimTemplates:
- metadata:
name: elasticsearch-data
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 5Gi
storageClassName: standard
----

For some reasons you may want to use an `emptyDir` volume, this can be done by specifying the `elasticsearch-data` volume in the `podTemplate`:

[source,yaml]
----
spec:
nodes:
- config:
podTemplate:
spec:
volumes:
- name: elasticsearch-data
emptyDir: {}
----

Keep in mind that using `emptyDir` may result in data loss and is not recommended.

[id="{p}-http-settings-tls-sans"]
=== HTTP settings & TLS SANs

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1 change: 1 addition & 0 deletions docs/index.asciidoc
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Expand Up @@ -10,5 +10,6 @@ include::overview.asciidoc[]
include::k8s-quickstart.asciidoc[]
include::accessing-services.asciidoc[]
include::advanced-node-scheduling.asciidoc[]
include::managing-compute-resources.asciidoc[]
include::snapshots.asciidoc[]
include::elasticsearch-spec.asciidoc[]
117 changes: 117 additions & 0 deletions docs/managing-compute-resources.asciidoc
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[id="{p}-managing-compute-resources"]
== Managing compute resources

When a Pod is created it may request CPU and RAM resources. It may also specify the maximum resources that the containers are allowed to consume. Both Pod `limits` and `requests` can be set in the specification of any object managed by the operator (Elasticsearch, Kibana or the APM server). For more information about how this is used by Kubernetes please see https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/[Managing Compute Resources for Containers].

[float]
[id="{p}-custom-resources"]
=== Set custom resources

The `resources` can be customized in the `podTemplate` of an object.

Here is an example for Elasticsearch:

[source,yaml]
----
spec:
nodes:
- podTemplate:
spec:
containers:
- name: elasticsearch
env:
- name: ES_JAVA_OPTS
value: -Xms2048M -Xmx2048M
resources:
requests:
memory: 2Gi
cpu: 1
limits:
memory: 4Gi
cpu: 2
----

This example also demonstrates how to set the JVM memory options accordingly using the `ES_JAVA_OPTS` environment variable.

The same applies for every object managed by the operator, here is how to set some custom resources for Kibana:

[source,yaml]
----
spec:
podTemplate:
spec:
containers:
- name: kibana
resources:
requests:
memory: 1Gi
cpu: 1
limits:
memory: 2Gi
cpu: 2
----

And here is how to set custom resources on the APM server:

[source,yaml]
----
spec:
podTemplate:
spec:
containers:
- name: apm-server
resources:
requests:
memory: 1Gi
cpu: 1
limits:
memory: 2Gi
cpu: 2
----

[float]
[id="{p}-default-behavior"]
=== Default behavior

If there's no `resources` set in the specification of an object then no `requests` or `limits` will be applied on the containers, with the notable exception of Elasticsearch.
It is important to understand that by default, if no memory requirement is set in the specification of Elasticsearch then the operator will apply a default memory request of 2Gi. The reason is that it is critical for Elasticsearch to have a minimum amount of memory to perform correctly. But this can be a problem if resources are https://kubernetes.io/docs/tasks/administer-cluster/manage-resources/memory-default-namespace/[managed with some LimitRanges at the namespace level] and if a minimum memory constraint is imposed.

For example you may want to apply a default request of 3Gi and enforce it as a minimum with a constraint:

[source,yaml]
----
apiVersion: v1
kind: LimitRange
metadata:
name: default-mem-per-container
spec:
limits:
- min:
memory: "3Gi"
defaultRequest:
memory: "3Gi"
type: Container
----

But if there is no `resources` declared in the specification then the Pod can't be created and the following event is generated:

...................................
default 0s Warning Unexpected elasticsearch/elasticsearch-sample Cannot create pod elasticsearch-sample-es-ldbgj48c7r: pods "elasticsearch-sample-es-ldbgj48c7r" is forbidden: minimum memory usage per Container is 3Gi, but request is 2Gi
...................................

In order to solve this situation you can specify an empty `limits` section in the specification:

[source,yaml]
----
spec:
nodes:
- podTemplate:
spec:
containers:
- name: elasticsearch
resources:
# specify empty limits
limits: {}
----

The default `requests` will not be set by the operator and the Pod will be created.

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