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Splunk Lantern

Monitoring Kubernetes pods


You've got your Kubernetes data into Splunk Observability Cloud, and now you're not sure what to do next. There are seemingly limitless ways to use Splunk software to achieve different use cases, and you need to start learning how to get value from the platform.

Some questions you might have about using Splunk Infrastructure Monitoring to monitor your Kubernetes environment include:

  • How can I identify which pods are failing or stuck in a pending state?
  • How can I ensure that the number of running instances matches what I expect?
  • How do I know if appropriate resource limits have been applied, and if any pods are exceeding those limits?

​Data required

Kubernetes data

How to use Splunk software for this use case

Detect Kubernetes nodes running out of resources or pods that are in a pending phase

In organizations that use the Kubernetes container management platform, it is common for nodes to run out of resources, rendering your applications unable to scale. It is imperative that Kubernetes nodes are monitored carefully to ensure you can take action quickly when this happens. Learn how to create a detector in Splunk Infrastructure Monitoring that monitors for this situation.

Monitor CPU utilization for no-limit pod configuration situations

In a situation when pod limits are not set, it can consume more CPU usage than intended. Learn how to monitor node CPU usage in that situation so you can prevent impact to your customers.

Review alerts received when a pending state occurs

When a pending state is detected, every second counts - you'll need to quickly alert the Kubernetes support staff who can resolve this incident. Each organization is unique in how it alerts its support team members, whether that happens over email, Slack, or Splunk On-Call. Learn how to configure alerting your staff for all of these platforms so your support team can take action straight away.

Review pod status in the Kubernetes navigator

Learn how to easily view pod status so that you can quickly and easily troubleshoot and reduce your mean time to repair (MTTR).

Next steps

Still having trouble? Splunk has many resources available to help get you back on track.