podselect

podselect [options]

-cpu <percentage>
    Select pods exceeding a specified CPU utilization percentage.

-mem <percentage>
    Select pods exceeding a specified memory utilization percentage.

-top <N>
    Select the top N pods based on resource usage (default CPU).

-sort <cpu|mem>
    Sort the selected pods by CPU or memory usage.

-namespace <namespace>
    Limit selection to pods within the specified Kubernetes namespace.

-labels <label_selector>
    Filter pods by Kubernetes labels using a label selector.

-json
    Output the results in JSON format.

-help
    Display help message.

The podselect command is a utility designed to simplify the process of selecting Kubernetes pods based on their resource utilization. It provides a mechanism to filter pods based on CPU, memory, or other metrics.

It's particularly useful in dynamic environments where you need to quickly identify pods consuming excessive resources for troubleshooting, optimization, or scaling purposes. This command could be part of a larger monitoring or automation pipeline, allowing for more efficient resource management within a Kubernetes cluster.

For instance, you might use podselect to identify the top 10 pods consuming the most CPU and then take action to re-balance the workload or adjust resource requests. The exact implementation of podselect is not specified here, but its purpose is centered around resource-based pod selection.

The functionality of podselect depends on access to Kubernetes metrics. Proper RBAC permissions are required to retrieve resource usage data. This is a hypothetical command, and its implementation may vary depending on the specific environment and monitoring tools used.

1. Select pods exceeding 80% CPU utilization: podselect -cpu 80
2. Select the top 5 pods using the most memory: podselect -top 5 -sort mem
3. Select pods in the 'production' namespace exceeding 50% memory: podselect -namespace production -mem 50
4. Select pods having a label 'app=frontend': podselect -labels 'app=frontend'

kubectl(1), top(1)