Kubernetes scheduler 🔗

The Splunk Distribution of OpenTelemetry Collector uses the Smart Agent receiver with the kubernetes-proxy monitor type to export Prometheus metrics from the kube-scheduler.

This monitor type is available on Kubernetes, Linux, and Windows.

Benefits 🔗

After you configure the integration, you can access these features:

View metrics. You can create your own custom dashboards, and most monitors provide built-in dashboards as well. For information about dashboards, see View dashboards in Splunk Observability Cloud.
View a data-driven visualization of the physical servers, virtual machines, AWS instances, and other resources in your environment that are visible to Infrastructure Monitoring. For information about navigators, see Use navigators in Splunk Infrastructure Monitoring.
Access the Metric Finder and search for metrics sent by the monitor. For information, see Search the Metric Finder and Metadata catalog.

Installation 🔗

Follow these steps to deploy this integration:

Deploy the Splunk Distribution of OpenTelemetry Collector to your host or container platform:
Configure the monitor, as described in the Configuration section.
Restart the Splunk Distribution of OpenTelemetry Collector.

Configuration 🔗

To use this integration of a Smart Agent monitor with the Collector:

Include the Smart Agent receiver in your configuration file.
Add the monitor type to the Collector configuration, both in the receiver and pipelines sections.

Read more on how to Use Smart Agent monitors with the Collector.
See how to set up the Smart Agent receiver.
Learn about config options in Collector default configuration.

Example 🔗

To activate this integration, add the following to your Collector configuration:

receivers:
  smartagent/kubernetes-scheduler
    type: kubernetes-scheduler
    ... # Additional config

Next, add the monitor to the service.pipelines.metrics.receivers section of your configuration file:

service:
   pipelines:
     metrics:
       receivers: [smartagent/kubernetes-scheduler]

Configuration settings 🔗

Config option	Required	Type	Description
`httpTimeout`	no	`int64`	HTTP timeout duration for both read and writes. This should be a duration string that is accepted by https://golang.org/pkg/time/#ParseDuration Default is `10s`.
`username`	no	`string`	Basic authentication username to use on each request, if any.
`password`	no	`string`	Basic authentication password to use on each request, if any.
`useHTTPS`	no	`bool`	If true, the agent will connect to the server using HTTPS instead of plain HTTP. Default is `false`.
`httpHeaders`	no	`map of strings`	A map of HTTP header names to values. Comma separated multiple values for the same message-header is supported.
`skipVerify`	no	`bool`	If useHTTPS is true and this option is also true, the exporter TLS cert will not be verified. Default is `false`
`sniServerName`	no	`string`	If useHTTPS is true and skipVerify is true, the sniServerName is used to verify the hostname on the returned certificates. It is also included in the client’s handshake to support virtual hosting unless it is an IP address.
`caCertPath`	no	`string`	Path to the CA cert that has signed the TLS cert, unnecessary if `skipVerify` is set to false.
`clientCertPath`	no	`string`	Path to the client TLS cert to use for TLS required connections.
`clientKeyPath`	no	`string`	Path to the client TLS key to use for TLS required connections.
`host`	yes	`string`	Host of the exporter.
`port`	yes	`integer`	Port of the exporter.
`useServiceAccount`	no	`bool`	Use pod service account to authenticate. Default is `false`.
`metricPath`	no	`string`	Path to the metrics endpoint on the exporter server, usually `/metrics`. Default is `/metrics`.
`sendAllMetrics`	no	`bool`	Send all the metrics that come out of the Prometheus exporter without any filtering. This option has no effect when using the prometheus exporter monitor directly since there is no built-in filtering, only when embedding it in other monitors. Default is `false`.

Metrics 🔗

The following metrics are available for this integration:

Notes 🔗

To learn more about the available in Observability Cloud see Metric types.
In host-based subscription plans, default metrics are those metrics included in host-based subscriptions in Observability Cloud, such as host, container, or bundled metrics. Custom metrics are not provided by default and might be subject to charges. See Metric categories for more information.
In MTS-based subscription plans, all metrics are custom.
To add additional metrics, see how to configure extraMetrics in Add additional metrics.

Non-default metrics (version 4.7.0+) 🔗

To emit metrics that are not default, you can add those metrics in the generic monitor-level extraMetrics config option. Metrics that are derived from specific configuration options that do not appear in the above list of metrics do not need to be added to extraMetrics.

To see a list of metrics that will be emitted you can run agent-status monitors after configuring this monitor in a running agent instance.

Troubleshooting 🔗

If you are not able to see your data in Splunk Observability Cloud, try these tips:

Submit a case in the Splunk Support Portal.
- Available to Splunk Observability Cloud customers
Call Splunk Customer Support
- Available to Splunk Observability Cloud customers
Ask a question and get answers through community support at Splunk Answers.
- Available to Splunk Observability Cloud customers and free trial users
Join the Splunk #observability user group Slack channel to communicate with customers, partners, and Splunk employees worldwide
- Available to Splunk Observability Cloud customers and free trial users
- To learn how to join, see Get Started with Splunk Community - Chat groups.

To learn about even more support options, see Splunk Customer Success.

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