$ oc project openshift-logging
You can view the status of the Cluster Logging Operator and for a number of cluster logging components.
You can view the status of your Cluster Logging Operator.
Cluster logging and Elasticsearch must be installed.
Change to the openshift-logging
project.
$ oc project openshift-logging
To view the cluster logging status:
Get the cluster logging status:
$ oc get clusterlogging instance -o yaml
apiVersion: logging.openshift.io/v1
kind: ClusterLogging
....
status: (1)
collection:
logs:
fluentdStatus:
daemonSet: fluentd (2)
nodes:
fluentd-2rhqp: ip-10-0-169-13.ec2.internal
fluentd-6fgjh: ip-10-0-165-244.ec2.internal
fluentd-6l2ff: ip-10-0-128-218.ec2.internal
fluentd-54nx5: ip-10-0-139-30.ec2.internal
fluentd-flpnn: ip-10-0-147-228.ec2.internal
fluentd-n2frh: ip-10-0-157-45.ec2.internal
pods:
failed: []
notReady: []
ready:
- fluentd-2rhqp
- fluentd-54nx5
- fluentd-6fgjh
- fluentd-6l2ff
- fluentd-flpnn
- fluentd-n2frh
logstore: (3)
elasticsearchStatus:
- ShardAllocationEnabled: all
cluster:
activePrimaryShards: 5
activeShards: 5
initializingShards: 0
numDataNodes: 1
numNodes: 1
pendingTasks: 0
relocatingShards: 0
status: green
unassignedShards: 0
clusterName: elasticsearch
nodeConditions:
elasticsearch-cdm-mkkdys93-1:
nodeCount: 1
pods:
client:
failed:
notReady:
ready:
- elasticsearch-cdm-mkkdys93-1-7f7c6-mjm7c
data:
failed:
notReady:
ready:
- elasticsearch-cdm-mkkdys93-1-7f7c6-mjm7c
master:
failed:
notReady:
ready:
- elasticsearch-cdm-mkkdys93-1-7f7c6-mjm7c
visualization: (4)
kibanaStatus:
- deployment: kibana
pods:
failed: []
notReady: []
ready:
- kibana-7fb4fd4cc9-f2nls
replicaSets:
- kibana-7fb4fd4cc9
replicas: 1
1 | In the output, the cluster status fields appear in the status stanza. |
2 | Information on the Fluentd pods. |
3 | Information on the Elasticsearch pods, including Elasticsearch cluster health, green , yellow , or red . |
4 | Information on the Kibana pods. |
The following are examples of some condition messages from the Status.Nodes
section of the cluster logging instance.
A status message similar to the following indicates a node has exceeded the configured low watermark and no shard will be allocated to this node:
nodes:
- conditions:
- lastTransitionTime: 2019-03-15T15:57:22Z
message: Disk storage usage for node is 27.5gb (36.74%). Shards will be not
be allocated on this node.
reason: Disk Watermark Low
status: "True"
type: NodeStorage
deploymentName: example-elasticsearch-clientdatamaster-0-1
upgradeStatus: {}
A status message similar to the following indicates a node has exceeded the configured high watermark and shards will be relocated to other nodes:
nodes:
- conditions:
- lastTransitionTime: 2019-03-15T16:04:45Z
message: Disk storage usage for node is 27.5gb (36.74%). Shards will be relocated
from this node.
reason: Disk Watermark High
status: "True"
type: NodeStorage
deploymentName: cluster-logging-operator
upgradeStatus: {}
A status message similar to the following indicates the Elasticsearch node selector in the CR does not match any nodes in the cluster:
Elasticsearch Status:
Shard Allocation Enabled: shard allocation unknown
Cluster:
Active Primary Shards: 0
Active Shards: 0
Initializing Shards: 0
Num Data Nodes: 0
Num Nodes: 0
Pending Tasks: 0
Relocating Shards: 0
Status: cluster health unknown
Unassigned Shards: 0
Cluster Name: elasticsearch
Node Conditions:
elasticsearch-cdm-mkkdys93-1:
Last Transition Time: 2019-06-26T03:37:32Z
Message: 0/5 nodes are available: 5 node(s) didn't match node selector.
Reason: Unschedulable
Status: True
Type: Unschedulable
elasticsearch-cdm-mkkdys93-2:
Node Count: 2
Pods:
Client:
Failed:
Not Ready:
elasticsearch-cdm-mkkdys93-1-75dd69dccd-f7f49
elasticsearch-cdm-mkkdys93-2-67c64f5f4c-n58vl
Ready:
Data:
Failed:
Not Ready:
elasticsearch-cdm-mkkdys93-1-75dd69dccd-f7f49
elasticsearch-cdm-mkkdys93-2-67c64f5f4c-n58vl
Ready:
master:
Failed:
Not Ready:
elasticsearch-cdm-mkkdys93-1-75dd69dccd-f7f49
elasticsearch-cdm-mkkdys93-2-67c64f5f4c-n58vl
Ready:
A status message similar to the following indicates that the requested PVC could not bind to PV:
Node Conditions:
elasticsearch-cdm-mkkdys93-1:
Last Transition Time: 2019-06-26T03:37:32Z
Message: pod has unbound immediate PersistentVolumeClaims (repeated 5 times)
Reason: Unschedulable
Status: True
Type: Unschedulable
A status message similar to the following indicates that the Fluentd pods cannot be scheduled because the node selector did not match any nodes:
Status:
Collection:
Logs:
Fluentd Status:
Daemon Set: fluentd
Nodes:
Pods:
Failed:
Not Ready:
Ready:
You can view the status for a number of cluster logging components.
Cluster logging and Elasticsearch must be installed.
Change to the openshift-logging
project.
$ oc project openshift-logging
View the status of the cluster logging environment:
$ oc describe deployment cluster-logging-operator
Name: cluster-logging-operator
....
Conditions:
Type Status Reason
---- ------ ------
Available True MinimumReplicasAvailable
Progressing True NewReplicaSetAvailable
....
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal ScalingReplicaSet 62m deployment-controller Scaled up replica set cluster-logging-operator-574b8987df to 1----
View the status of the cluster logging replica set:
Get the name of a replica set:
$ oc get replicaset
NAME DESIRED CURRENT READY AGE
cluster-logging-operator-574b8987df 1 1 1 159m
elasticsearch-cdm-uhr537yu-1-6869694fb 1 1 1 157m
elasticsearch-cdm-uhr537yu-2-857b6d676f 1 1 1 156m
elasticsearch-cdm-uhr537yu-3-5b6fdd8cfd 1 1 1 155m
kibana-5bd5544f87 1 1 1 157m
Get the status of the replica set:
$ oc describe replicaset cluster-logging-operator-574b8987df
Name: cluster-logging-operator-574b8987df
....
Replicas: 1 current / 1 desired
Pods Status: 1 Running / 0 Waiting / 0 Succeeded / 0 Failed
....
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulCreate 66m replicaset-controller Created pod: cluster-logging-operator-574b8987df-qjhqv----