Using tolerations to control logging pod placement - Configuring your logging deployment | logging

Using tolerations to control the log store pod placement
Using tolerations to control the log visualizer pod placement
Using tolerations to control the log collector pod placement
Additional resources

You can use taints and tolerations to ensure that logging subsystem pods run on specific nodes and that no other workload can run on those nodes.

Taints and tolerations are simple key:value pair. A taint on a node instructs the node to repel all pods that do not tolerate the taint.

The key is any string, up to 253 characters and the value is any string up to 63 characters. The string must begin with a letter or number, and may contain letters, numbers, hyphens, dots, and underscores.

Sample logging subsystem CR with tolerations

apiVersion: "logging.openshift.io/v1"
kind: "Clusterlogging"
metadata:
  name: "instance"
  namespace: openshift-logging

...

spec:
  managementState: "Managed"
  logStore:
    type: "elasticsearch"
    elasticsearch:
      nodeCount: 3
      tolerations: (1)
      - key: "logging"
        operator: "Exists"
        effect: "NoExecute"
        tolerationSeconds: 6000
      resources:
        limits:
          memory: 16Gi
        requests:
          cpu: 200m
          memory: 16Gi
      storage: {}
      redundancyPolicy: "ZeroRedundancy"
  visualization:
    type: "kibana"
    kibana:
      tolerations: (2)
      - key: "logging"
        operator: "Exists"
        effect: "NoExecute"
        tolerationSeconds: 6000
      resources:
        limits:
          memory: 2Gi
        requests:
          cpu: 100m
          memory: 1Gi
      replicas: 1
  collection:
    logs:
      type: "fluentd"
      fluentd:
        tolerations: (3)
        - key: "logging"
          operator: "Exists"
          effect: "NoExecute"
          tolerationSeconds: 6000
        resources:
          limits:
            memory: 2Gi
          requests:
            cpu: 100m
            memory: 1Gi

1	This toleration is added to the Elasticsearch pods.
2	This toleration is added to the Kibana pod.
3	This toleration is added to the logging collector pods.

Using tolerations to control the log store pod placement

You can control which nodes the log store pods runs on and prevent other workloads from using those nodes by using tolerations on the pods.

You apply tolerations to the log store pods through the Clusterlogging custom resource (CR) and apply taints to a node through the node specification. A taint on a node is a key:value pair that instructs the node to repel all pods that do not tolerate the taint. Using a specific key:value pair that is not on other pods ensures only the log store pods can run on that node.

By default, the log store pods have the following toleration:

tolerations:
- effect: "NoExecute"
  key: "node.kubernetes.io/disk-pressure"
  operator: "Exists"

Prerequisites

The Red Hat OpenShift logging and Elasticsearch Operators must be installed.

Procedure

Use the following command to add a taint to a node where you want to schedule the OpenShift logging pods:
```
$ oc adm taint nodes <node-name> <key>=<value>:<effect>
```
For example:
```
$ oc adm taint nodes node1 elasticsearch=node:NoExecute
```
This example places a taint on node1 that has key elasticsearch, value node, and taint effect NoExecute. Nodes with the NoExecute effect schedule only pods that match the taint and remove existing pods that do not match.

Edit the logstore section of the Clusterlogging CR to configure a toleration for the Elasticsearch pods:

  logStore:
    type: "elasticsearch"
    elasticsearch:
      nodeCount: 1
      tolerations:
      - key: "elasticsearch"  (1)
        operator: "Exists"  (2)
        effect: "NoExecute"  (3)
        tolerationSeconds: 6000  (4)

1	Specify the key that you added to the node.
2	Specify the `Exists` operator to require a taint with the key `elasticsearch` to be present on the Node.
3	Specify the `NoExecute` effect.
4	Optionally, specify the `tolerationSeconds` parameter to set how long a pod can remain bound to a node before being evicted.

This toleration matches the taint created by the oc adm taint command. A pod with this toleration could be scheduled onto node1.

Using tolerations to control the log visualizer pod placement

You can control the node where the log visualizer pod runs and prevent other workloads from using those nodes by using tolerations on the pods.

You apply tolerations to the log visualizer pod through the Clusterlogging custom resource (CR) and apply taints to a node through the node specification. A taint on a node is a key:value pair that instructs the node to repel all pods that do not tolerate the taint. Using a specific key:value pair that is not on other pods ensures only the Kibana pod can run on that node.

Prerequisites

The Red Hat OpenShift logging and Elasticsearch Operators must be installed.

Procedure

Use the following command to add a taint to a node where you want to schedule the log visualizer pod:
```
$ oc adm taint nodes <node-name> <key>=<value>:<effect>
```
For example:
```
$ oc adm taint nodes node1 kibana=node:NoExecute
```
This example places a taint on node1 that has key kibana, value node, and taint effect NoExecute. You must use the NoExecute taint effect. NoExecute schedules only pods that match the taint and remove existing pods that do not match.

Edit the visualization section of the Clusterlogging CR to configure a toleration for the Kibana pod:

  visualization:
    type: "kibana"
    kibana:
      tolerations:
      - key: "kibana"  (1)
        operator: "Exists"  (2)
        effect: "NoExecute"  (3)
        tolerationSeconds: 6000 (4)

1	Specify the key that you added to the node.
2	Specify the `Exists` operator to require the `key`/`value`/`effect` parameters to match.
3	Specify the `NoExecute` effect.
4	Optionally, specify the `tolerationSeconds` parameter to set how long a pod can remain bound to a node before being evicted.

This toleration matches the taint created by the oc adm taint command. A pod with this toleration would be able to schedule onto node1.

Using tolerations to control the log collector pod placement

You can ensure which nodes the logging collector pods run on and prevent other workloads from using those nodes by using tolerations on the pods.

You apply tolerations to logging collector pods through the Clusterlogging custom resource (CR) and apply taints to a node through the node specification. You can use taints and tolerations to ensure the pod does not get evicted for things like memory and CPU issues.

By default, the logging collector pods have the following toleration:

tolerations:
- key: "node-role.kubernetes.io/master"
  operator: "Exists"
  effect: "NoExecute"

Prerequisites

The Red Hat OpenShift logging and Elasticsearch Operators must be installed.

Procedure

Use the following command to add a taint to a node where you want logging collector pods to schedule logging collector pods:
```
$ oc adm taint nodes <node-name> <key>=<value>:<effect>
```
For example:
```
$ oc adm taint nodes node1 collector=node:NoExecute
```
This example places a taint on node1 that has key collector, value node, and taint effect NoExecute. You must use the NoExecute taint effect. NoExecute schedules only pods that match the taint and removes existing pods that do not match.

Edit the collection stanza of the Clusterlogging custom resource (CR) to configure a toleration for the logging collector pods:

  collection:
    logs:
      type: "fluentd"
      fluentd:
        tolerations:
        - key: "collector"  (1)
          operator: "Exists"  (2)
          effect: "NoExecute"  (3)
          tolerationSeconds: 6000  (4)

1	Specify the key that you added to the node.
2	Specify the `Exists` operator to require the `key`/`value`/`effect` parameters to match.
3	Specify the `NoExecute` effect.
4	Optionally, specify the `tolerationSeconds` parameter to set how long a pod can remain bound to a node before being evicted.

This toleration matches the taint created by the oc adm taint command. A pod with this toleration would be able to schedule onto node1.

Additional resources

Controlling pod placement using node taints.

Using tolerations to control OpenShift logging pod placement

Using tolerations to control the log store pod placement

Using tolerations to control the log visualizer pod placement

Using tolerations to control the log collector pod placement

Additional resources