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Default <strong>logging</strong> alerts - <strong>logging</strong> | Observability | OpenShift Container Platform 4.15
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Default logging alerts

logging alerts are installed as part of the Red Hat OpenShift logging Operator installation. Alerts depend on metrics exported by the log collection and log storage backends. These metrics are enabled if you selected the option to Enable Operator recommended cluster monitoring on this namespace when installing the Red Hat OpenShift logging Operator.

Default logging alerts are sent to the OpenShift Container Platform monitoring stack Alertmanager in the openshift-monitoring namespace, unless you have disabled the local Alertmanager instance.

Accessing the Alerting UI in the Administrator and Developer perspectives

The Alerting UI is accessible through the Administrator perspective and the Developer perspective of the OpenShift Container Platform web console.

  • In the Administrator perspective, go to Observe → Alerting. The three main pages in the Alerting UI in this perspective are the Alerts, Silences, and Alerting rules pages.

  • In the Developer perspective, go to Observe → <project_name> → Alerts. In this perspective, alerts, silences, and alerting rules are all managed from the Alerts page. The results shown in the Alerts page are specific to the selected project.

In the Developer perspective, you can select from core OpenShift Container Platform and user-defined projects that you have access to in the Project: <project_name> list. However, alerts, silences, and alerting rules relating to core OpenShift Container Platform projects are not displayed if you are not logged in as a cluster administrator.

logging collector alerts

In logging 5.8 and later versions, the following alerts are generated by the Red Hat OpenShift logging Operator. You can view these alerts in the OpenShift Container Platform web console.

Alert Name Message Description Severity

CollectorNodeDown

Prometheus could not scrape namespace/pod collector component for more than 10m.

Collector cannot be scraped.

Critical

CollectorHighErrorRate

value% of records have resulted in an error by namespace/pod collector component.

namespace/pod collector component errors are high.

Critical

CollectorVeryHighErrorRate

value% of records have resulted in an error by namespace/pod collector component.

namespace/pod collector component errors are very high.

Critical

Vector collector alerts

In logging 5.7 and later versions, the following alerts are generated by the Vector collector. You can view these alerts in the OpenShift Container Platform web console.

Table 1. Vector collector alerts
Alert Message Description Severity

CollectorHighErrorRate

<value> of records have resulted in an error by vector <instance>.

The number of vector output errors is high, by default more than 10 in the previous 15 minutes.

Warning

CollectorNodeDown

Prometheus could not scrape vector <instance> for more than 10m.

Vector is reporting that Prometheus could not scrape a specific Vector instance.

Critical

CollectorVeryHighErrorRate

<value> of records have resulted in an error by vector <instance>.

The number of Vector component errors are very high, by default more than 25 in the previous 15 minutes.

Critical

FluentdQueueLengthIncreasing

In the last 1h, fluentd <instance> buffer queue length constantly increased more than 1. Current value is <value>.

Fluentd is reporting that the queue size is increasing.

Warning

Fluentd collector alerts

The following alerts are generated by the legacy Fluentd log collector. You can view these alerts in the OpenShift Container Platform web console.

Table 2. Fluentd collector alerts
Alert Message Description Severity

FluentDHighErrorRate

<value> of records have resulted in an error by fluentd <instance>.

The number of FluentD output errors is high, by default more than 10 in the previous 15 minutes.

Warning

FluentdNodeDown

Prometheus could not scrape fluentd <instance> for more than 10m.

Fluentd is reporting that Prometheus could not scrape a specific Fluentd instance.

Critical

FluentdQueueLengthIncreasing

In the last 1h, fluentd <instance> buffer queue length constantly increased more than 1. Current value is <value>.

Fluentd is reporting that the queue size is increasing.

Warning

FluentDVeryHighErrorRate

<value> of records have resulted in an error by fluentd <instance>.

The number of FluentD output errors is very high, by default more than 25 in the previous 15 minutes.

Critical

Elasticsearch alerting rules

You can view these alerting rules in the OpenShift Container Platform web console.

Table 3. Alerting rules
Alert Description Severity

ElasticsearchClusterNotHealthy

The cluster health status has been RED for at least 2 minutes. The cluster does not accept writes, shards may be missing, or the master node hasn’t been elected yet.

Critical

ElasticsearchClusterNotHealthy

The cluster health status has been YELLOW for at least 20 minutes. Some shard replicas are not allocated.

Warning

ElasticsearchDiskSpaceRunningLow

The cluster is expected to be out of disk space within the next 6 hours.

Critical

ElasticsearchHighFileDescriptorUsage

The cluster is predicted to be out of file descriptors within the next hour.

Warning

ElasticsearchJVMHeapUseHigh

The JVM Heap usage on the specified node is high.

Alert

ElasticsearchNodeDiskWatermarkReached

The specified node has hit the low watermark due to low free disk space. Shards can not be allocated to this node anymore. You should consider adding more disk space to the node.

Info

ElasticsearchNodeDiskWatermarkReached

The specified node has hit the high watermark due to low free disk space. Some shards will be re-allocated to different nodes if possible. Make sure more disk space is added to the node or drop old indices allocated to this node.

Warning

ElasticsearchNodeDiskWatermarkReached

The specified node has hit the flood watermark due to low free disk space. Every index that has a shard allocated on this node is enforced a read-only block. The index block must be manually released when the disk use falls below the high watermark.

Critical

ElasticsearchJVMHeapUseHigh

The JVM Heap usage on the specified node is too high.

Alert

ElasticsearchWriteRequestsRejectionJumps

Elasticsearch is experiencing an increase in write rejections on the specified node. This node might not be keeping up with the indexing speed.

Warning

AggregatedloggingSystemCPUHigh

The CPU used by the system on the specified node is too high.

Alert

ElasticsearchProcessCPUHigh

The CPU used by Elasticsearch on the specified node is too high.

Alert

Additional resources