Splunk Observability (SignalFx)
When using Splunk Observability [SignalFx] health source, it is not possible to derive a metric by using a combination of other metrics.
Before you begin
This page assumes you have followed the rest of the steps to set up CV. To learn more, go to Configure CV
Ensure that Splunk Observability [SignalFx] is added as a verification provider in Harness. To learn how to add Splunk Observability [SignalFx] as a connector in Harness, go to Add Splunk Observability [SignalFX].
Add Splunk Observability (SignalFx)
To add a health source:
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In the Health Sources section, select + Add New Health Source.
The Add New Health Source dialog appears.
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On the Define Health Source tab, do the following:
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In the Define Health Source section, select Splunk Observability [SignalFx] as the health source type.
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In the Health Source Name field, enter a name for the health source.
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In the Connect Health Source section, select Select Connector.
The Create or Select an Existing Connector dialog appears. -
Select a connector for the Splunk Observability [SignalFx] health source, and then select Apply Selected.
The selected connector appears in the Select Connector dropdown. -
Select Next.
The Configuration tab appears.
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Currently, Harness supports only Splunk Observability [SignalFx] metrics. The Splunk Observability [SignalFx] Metrics option is selected by default in the Select Feature field.
Define log configuration settings
- On the Configuration tab, select + Add Metric.
The Add Metric dialog appears. - Enter the following information, and then select Submit:
- Metric name: Enter a name for the metric. For example, Memory Metric.
- Group name: If the group to which you want to add the metric already exists, select it.
If you want to create a new group, select + Add New. In the Add Group Name dialog enter a group name, and then select Submit.
- In the Add Metric dialog, select Submit.
New group and metric are created. The query specifications and mapping settings are displayed. These settings help you get the desired metric data from the Splunk Observability [SignalFx] platform and map it to Harness service. To learn about Splunk Observability [SignalFx] metrics and queries, go to https://dev.splunk.com/observability/docs/signalflow.
Define a query
In the Query box, enter your metric query, and then select Run Query.
Sample data is displayed in the Records box. The Chart box displays the graph corresponding to the sample data. This helps you verify if the query that you have built is correct.
Sample query to check the number of Kubernetes pods in ready state
Assign services
In the Assign section, select the services to which you want to apply the Sumo Logic metric. Following options are available:
- Continuous Verification (Applied to the pipelines in the Continuous Deployment): Select this option to use the metric data in the Continuous Deployment pipeline to ensure that the deployed service is running safely and to perform automatic rollbacks. In addition, the metric will be used to apply Machine Learning in detecting and highlighting future deployment issues.
- Service Health: Select this option to use the metric data to track the changes in the health trend of your monitored service.
- Service Level Indicator (SLI): Select this option to use the metric data to measure the SLI and obtain the performance of the service.
Configure risk profile
If you select Continuous Verification (Applied to the pipelines in the Continuous Deployment) or Service Health, expand the section below and follow the instructions for configuring the risk profile.