Docs » Available host and application monitors » Configure application receivers for orchestration » Kubernetes scheduler

Kubernetes scheduler ๐Ÿ”—

Description ๐Ÿ”—

The Splunk Distribution of OpenTelemetry Collector provides the kubernetes-scheduler monitor type by using the Splunk Observability Cloud Smart Agent Receiver.

This monitor type exports Prometheus metrics from the kube-scheduler.

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

Benefits ๐Ÿ”—

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 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 Splunk Infrastructure Monitoring navigators.

  • Access the Metric Finder and search for metrics sent by the monitor. For information, see Use the Metric Finder.

Installation ๐Ÿ”—

Follow these steps to deploy this integration:

  1. Deploy the Splunk Distribution of OpenTelemetry Collector to your host or container platform:

  2. Configure the monitor, as described in the Configuration section.

  3. Restart the Splunk Distribution of OpenTelemetry Collector.

Configuration ๐Ÿ”—

This monitor type is available in the Smart Agent Receiver, which is part of the Splunk Distribution of OpenTelemetry Collector. You can use existing Smart Agent monitors as OpenTelemetry Collector metric receivers with the Smart Agent Receiver.

This monitor type requires a properly configured environment on your system in which youโ€™ve installed a functional Smart Agent release bundle. The Collector provides this bundle in the installation paths for x86_64/amd64.

To activate this monitor type in the Collector, add the following lines to your configuration (YAML) file:

To complete the monitor type activation, you must also include it in a metrics pipeline. To do this, add the monitor type to the service > pipelines > metrics > receivers section of your configuration file. For example:

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

Configuration settings ๐Ÿ”—

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 exporterโ€™s 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 clientโ€™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 ๐Ÿ”—

The following metrics are available for this integration:

Non-default metrics (version 4.7.0+) ๐Ÿ”—

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.

Get help ๐Ÿ”—

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

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