OpenShift Elasticsearch Operator
4.6.0-202007012112.p0 provided
by Red Hat, Inc
After updating the OKD cluster from 4.4 to 4.5, you can then update the OpenShift Elasticsearch Operator and Cluster logging Operator from 4.4 to 4.5.
Cluster logging 4.5 introduces a new Elasticsearch version, Elasticsearch 6.8.1, and an enhanced security plug-in, Open Distro for Elasticsearch. The new Elasticsearch version introduces a new Elasticsearch data model, where the Elasticsearch data is indexed only by type: infrastructure, application, and audit. Previously, data was indexed by type (infrastructure and application) and project.
Because of the new data model, the update does not migrate existing custom Kibana index patterns and visualizations into the new version. You must re-create your Kibana index patterns and visualizations to match the new indices after updating. |
Due to the nature of these changes, you are not required to update your cluster logging to 4.5. However, when you update to OKD 4.6, you must update cluster logging to 4.6 at that time.
After updating the OKD cluster, you can update cluster logging from 4.5 to 4.6 by changing the subscription for the OpenShift Elasticsearch Operator and the Cluster logging Operator.
When you update:
You must update the OpenShift Elasticsearch Operator before updating the Cluster logging Operator.
You must update both the OpenShift Elasticsearch Operator and the Cluster logging Operator.
Kibana is unusable when the OpenShift Elasticsearch Operator has been updated but the Cluster logging Operator has not been updated.
If you update the Cluster logging Operator before the OpenShift Elasticsearch Operator, Kibana does not update and the Kibana custom resource (CR) is not created. To work around this problem, delete the Cluster logging Operator pod. When the Cluster logging Operator pod redeploys, the Kibana CR is created.
If your cluster logging version is prior to 4.5, you must upgrade cluster logging to 4.5 before updating to 4.6. |
Update the OKD cluster from 4.5 to 4.6.
Make sure the cluster logging status is healthy:
All pods are ready
.
The Elasticsearch cluster is healthy.
Back up your Elasticsearch and Kibana data.
Update the OpenShift Elasticsearch Operator:
From the web console, click Operators → Installed Operators.
Select the openshift-operators-redhat
project.
Click the OpenShift Elasticsearch Operator.
Click Subscription → Channel.
In the Change Subscription Update Channel window, select 4.6 and click Save.
Wait for a few seconds, then click Operators → Installed Operators.
The OpenShift Elasticsearch Operator is shown as 4.6. For example:
OpenShift Elasticsearch Operator
4.6.0-202007012112.p0 provided
by Red Hat, Inc
Wait for the Status field to report Succeeded.
Update the Cluster logging Operator:
From the web console, click Operators → Installed Operators.
Select the openshift-logging
project.
Click the Cluster logging Operator.
Click Subscription → Channel.
In the Change Subscription Update Channel window, select 4.6 and click Save.
Wait for a few seconds, then click Operators → Installed Operators.
The Cluster logging Operator is shown as 4.6. For example:
Cluster logging
4.6.0-202007012112.p0 provided
by Red Hat, Inc
Wait for the Status field to report Succeeded.
Check the logging components:
Ensure that all Elasticsearch pods are in the Ready status:
$ oc get pod -n openshift-logging --selector component=elasticsearch
NAME READY STATUS RESTARTS AGE
elasticsearch-cdm-1pbrl44l-1-55b7546f4c-mshhk 2/2 Running 0 31m
elasticsearch-cdm-1pbrl44l-2-5c6d87589f-gx5hk 2/2 Running 0 30m
elasticsearch-cdm-1pbrl44l-3-88df5d47-m45jc 2/2 Running 0 29m
Ensure that the Elasticsearch cluster is healthy:
$ oc exec -n openshift-logging -c elasticsearch elasticsearch-cdm-1pbrl44l-1-55b7546f4c-mshhk -- es_cluster_health
{
"cluster_name" : "elasticsearch",
"status" : "green",
}
...
Ensure that the Elasticsearch cron jobs are created:
$ oc project openshift-logging
$ oc get cronjob
NAME SCHEDULE SUSPEND ACTIVE LAST SCHEDULE AGE
curator 30 3,9,15,21 * * * False 0 <none> 20s
elasticsearch-im-app */15 * * * * False 0 <none> 56s
elasticsearch-im-audit */15 * * * * False 0 <none> 56s
elasticsearch-im-infra */15 * * * * False 0 <none> 56s
Verify that the log store is updated to 4.6 and the indices are green
:
$ oc exec -c elasticsearch <any_es_pod_in_the_cluster> -- indices
Verify that the output includes the app-00000x
, infra-00000x
, audit-00000x
, .security
indices.
Tue Jun 30 14:30:54 UTC 2020
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
green open infra-000008 bnBvUFEXTWi92z3zWAzieQ 3 1 222195 0 289 144
green open infra-000004 rtDSzoqsSl6saisSK7Au1Q 3 1 226717 0 297 148
green open infra-000012 RSf_kUwDSR2xEuKRZMPqZQ 3 1 227623 0 295 147
green open .kibana_7 1SJdCqlZTPWlIAaOUd78yg 1 1 4 0 0 0
green open infra-000010 iXwL3bnqTuGEABbUDa6OVw 3 1 248368 0 317 158
green open infra-000009 YN9EsULWSNaxWeeNvOs0RA 3 1 258799 0 337 168
green open infra-000014 YP0U6R7FQ_GVQVQZ6Yh9Ig 3 1 223788 0 292 146
green open infra-000015 JRBbAbEmSMqK5X40df9HbQ 3 1 224371 0 291 145
green open .orphaned.2020.06.30 n_xQC2dWQzConkvQqei3YA 3 1 9 0 0 0
green open infra-000007 llkkAVSzSOmosWTSAJM_hg 3 1 228584 0 296 148
green open infra-000005 d9BoGQdiQASsS3BBFm2iRA 3 1 227987 0 297 148
green open infra-000003 1-goREK1QUKlQPAIVkWVaQ 3 1 226719 0 295 147
green open .security zeT65uOuRTKZMjg_bbUc1g 1 1 5 0 0 0
green open .kibana-377444158_kubeadmin wvMhDwJkR-mRZQO84K0gUQ 3 1 1 0 0 0
green open infra-000006 5H-KBSXGQKiO7hdapDE23g 3 1 226676 0 295 147
green open infra-000001 eH53BQ-bSxSWR5xYZB6lVg 3 1 341800 0 443 220
green open .kibana-6 RVp7TemSSemGJcsSUmuf3A 1 1 4 0 0 0
green open infra-000011 J7XWBauWSTe0jnzX02fU6A 3 1 226100 0 293 146
green open app-000001 axSAFfONQDmKwatkjPXdtw 3 1 103186 0 126 57
green open infra-000016 m9c1iRLtStWSF1GopaRyCg 3 1 13685 0 19 9
green open infra-000002 Hz6WvINtTvKcQzw-ewmbYg 3 1 228994 0 296 148
green open infra-000013 KR9mMFUpQl-jraYtanyIGw 3 1 228166 0 298 148
green open audit-000001 eERqLdLmQOiQDFES1LBATQ 3 1 0 0 0 0
Verify that the log collector is updated to 4.6:
$ oc get ds fluentd -o json | grep fluentd-init
Verify that the output includes a fluentd-init
container:
"containerName": "fluentd-init"
Verify that the log visualizer is updated to 4.6 using the Kibana CRD:
$ oc get kibana kibana -o json
Verify that the output includes a Kibana pod with the ready
status:
[
{
"clusterCondition": {
"kibana-5fdd766ffd-nb2jj": [
{
"lastTransitionTime": "2020-06-30T14:11:07Z",
"reason": "ContainerCreating",
"status": "True",
"type": ""
},
{
"lastTransitionTime": "2020-06-30T14:11:07Z",
"reason": "ContainerCreating",
"status": "True",
"type": ""
}
]
},
"deployment": "kibana",
"pods": {
"failed": [],
"notReady": []
"ready": []
},
"replicaSets": [
"kibana-5fdd766ffd"
],
"replicas": 1
}
]
Verify the Curator is updated to 4.6:
$ oc get cronjob -o name
cronjob.batch/curator
cronjob.batch/elasticsearch-im-app
cronjob.batch/elasticsearch-im-audit
cronjob.batch/elasticsearch-im-infra
Verify that the output includes the elasticsearch-im-*
indices.
If you use the Log Forwarding API to forward logs, after the OpenShift Elasticsearch Operator and Cluster logging Operator are fully updated to 4.6, you must replace your LogForwarding
custom resource (CR) with a ClusterLogForwarder
CR.
The OKD Log Forward API has been promoted from Technology Preview to Generally Available in OKD 4.6. The GA release contains some improvements and enhancements that require you to make a change to your Clusterlogging
custom resource (CR) and to replace your LogForwarding
custom resource (CR) with a ClusterLogForwarder
CR.
ClusterLogForwarder
instance in OKD 4.6apiVersion: logging.openshift.io/v1
kind: ClusterLogForwarder
metadata:
name: instance
namespace: openshift-logging
....
spec:
outputs:
- url: http://remote.elasticsearch.com:9200
name: elasticsearch
type: elasticsearch
- url: tls://fluentdserver.example.com:24224
name: fluentd
type: fluentdForward
secret:
name: fluentdserver
pipelines:
- inputRefs:
- infrastructure
- application
name: mylogs
outputRefs:
- elasticsearch
- inputRefs:
- audit
name: auditlogs
outputRefs:
- fluentd
- default
...
ClusterLogForwarder
CR in OKD 4.5apiVersion: logging.openshift.io/v1alpha1
kind: LogForwarding
metadata:
name: instance
namespace: openshift-logging
spec:
disableDefaultForwarding: true
outputs:
- name: elasticsearch
type: elasticsearch
endpoint: remote.elasticsearch.com:9200
- name: fluentd
type: forward
endpoint: fluentdserver.example.com:24224
secret:
name: fluentdserver
pipelines:
- inputSource: logs.infra
name: infra-logs
outputRefs:
- elasticearch
- inputSource: logs.app
name: app-logs
outputRefs:
- elasticearch
- inputSource: logs.audit
name: audit-logs
outputRefs:
- fluentd
The following procedure shows each parameter you must change.
To update the ClusterLogForwarder
CR in 4.5 to the ClusterLogForwarding
CR for 4.6, make the following modifications:
Edit the Clusterlogging
custom resource (CR) to remove the logforwardingtechpreview
annotation:
Clusterlogging
CRapiVersion: "logging.openshift.io/v1"
kind: "Clusterlogging"
metadata:
annotations:
clusterlogging.openshift.io/logforwardingtechpreview: enabled (1)
name: "instance"
namespace: "openshift-logging"
....
1 | Remove the logforwardingtechpreview annotation. |
Export the ClusterLogForwarder
CR to create a YAML file for the ClusterLogForwarder
instance:
$ oc get LogForwarding instance -n openshift-logging -o yaml| tee ClusterLogForwarder.yaml
Edit the YAML file to make the following modifications:
ClusterLogForwarder
instance in OKD 4.6apiVersion: logging.openshift.io/v1 (1)
kind: ClusterLogForwarder (2)
metadata:
name: instance
namespace: openshift-logging
....
spec: (3)
outputs:
- url: http://remote.elasticsearch.com:9200 (4)
name: elasticsearch
type: elasticsearch
- url: tls://fluentdserver.example.com:24224
name: fluentd
type: fluentdForward (5)
secret:
name: fluentdserver
pipelines:
- inputRefs: (6)
- infrastructure
- application
name: mylogs
outputRefs:
- elasticsearch
- inputRefs:
- audit
name: auditlogs
outputRefs:
- fluentd
- default (7)
...
1 | Change the apiVersion from "logging.openshift.io/v1alpha1" to "logging.openshift.io/v1" . |
||
2 | Change the object kind from kind: "LogForwarding" to kind: "ClusterLogForwarder" . |
||
3 | Remove the disableDefaultForwarding: true parameter. |
||
4 | Change the output parameter from spec.outputs.endpoint to spec.outputs.url . Add a prefix to the URL, such as https:// , tcp:// , and so forth, if a prefix is not present. |
||
5 | For Fluentd outputs, change the type from forward to fluentdForward . |
||
6 | Change the pipelines:
|
||
7 | Optional: Add a default pipeline to send logs to the internal Elasticsearch instance. You are not required to configure a default output.
|
Create the CR object:
$ oc create -f ClusterLogForwarder.yaml
For information on the new capabilities of the Log Forwarding API, see Forwarding logs to third party systems.