KubernetesJobSlowCompletion #

Kubernetes Job {{ $labels.namespace }}/{{ $labels.job_name }} did not complete in time.

alert: KubernetesJobSlowCompletion
annotations:
  description: |-
    Kubernetes Job {{ $labels.namespace }}/{{ $labels.job_name }} did not complete in time.
      VALUE = {{ $value }}
      LABELS = {{ $labels }}    
  runbook: https://srerun.github.io/prometheus-alerts/runbooks/kubestate-exporter/kubernetesjobslowcompletion/
  summary: Kubernetes job slow completion ({{ $labels.namespace }}/{{ $labels.job_name
    }})
expr: kube_job_spec_completions - kube_job_status_succeeded - kube_job_status_failed
  > 0
for: 12h
labels:
  severity: critical

Here is a runbook for the KubernetesJobSlowCompletion alert:

Meaning #

The KubernetesJobSlowCompletion alert is triggered when a Kubernetes Job takes longer than expected to complete. This can indicate a problem with the Job itself, the underlying infrastructure, or the application it is running.

Impact #

The impact of this alert can be significant, as it may indicate a failure in the processing of critical data or a delay in the execution of important tasks. If left unchecked, this can lead to cascading failures, data loss, or errors in dependent systems. Additionally, slow completion times can also indicate inefficient use of resources, leading to wasted compute time and unnecessary costs.

Diagnosis #

To diagnose the root cause of this alert, follow these steps:

1. Check the Job’s logs: Review the logs of the Job to identify any errors or issues that may be causing the slow completion.
2. Verify the Job’s configuration: Check the Job’s configuration to ensure it is correctly defined and that the resources allocated are sufficient.
3. Investigate node and pod status: Check the status of the nodes and pods running the Job to ensure they are healthy and not experiencing any issues.
4. Check the underlying infrastructure: Verify that the underlying infrastructure, such as the cluster and network, are functioning correctly.
5. Review system metrics: Review system metrics, such as CPU and memory usage, to identify any resource bottlenecks.

Mitigation #

To mitigate this alert, follow these steps:

1. Cancel and re-run the Job: Cancel the Job and re-run it with increased resources or modified settings to see if the issue resolves.
2. Check and adjust resource allocations: Verify that the resources allocated to the Job are sufficient and adjust as needed.
3. Optimize the Job’s configuration: Optimize the Job’s configuration to improve performance and reduce completion time.
4. Investigate and resolve underlying infrastructure issues: Address any underlying infrastructure issues that may be contributing to the slow completion time.
5. Implement retry mechanisms: Implement retry mechanisms to ensure that the Job can recover from temporary failures and complete successfully.

By following these steps, you should be able to diagnose and mitigate the root cause of the KubernetesJobSlowCompletion alert, ensuring that your Jobs complete efficiently and effectively.