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TIBCO® Control Plane 1.2.0

# Configuring Observability Resource

You can configure the observability resource at the global level or at the data plane level. Observability resource configured at a global level can be applied to all data planes. It is not applied by default. You must link the data planes to the global resource. Observability resource at the data plane level applies specifically to the chosen data plane.

You can use either the global scope resource or the data plane scope resource for a data plane at any given time. Global scope allows multiple data planes to be linked to the same set of observability stack for collecting the telemetry data. This allows observability and monitoring of telemetry data across data planes in a single view.

The following are some of the scenarios for using global scope observability resource:

- Traces that span across data plane when an app in data plane A is invoking an app in data plane B.

- Metrics that monitor the high CPU or memory usage of apps in all data planes.

- Logs from multiple app instances in multiple data planes to be collated in a single view sorted by time.

Before you begin

- You must have already configured the Logs server, Traces server, and Metrics server in your Kubernetes cluster. TIBCO Control Plane supports the following third-party tools:

  - Logs server: Elasticsearch 8.9.1

  - Traces server: Elasticsearch 8.9.1

  - Metrics server: Prometheus 2.45, Prometheus Helm chart version 48.3.4.

- To configure the Logs server, Traces server, and Metrics server in your Kubernetes cluster to collect data from data planes, see the following topics:
  - Preparing Logs and Traces Servers

- You must have installed Kubernetes Metrics Server. For more information, see Kubernetes Metrics Server on GitHub.

- (Optional) To view ingress or egress traces for an app, you must have provisioned Service Mesh capability. For more information, see Service Mesh Overview.

- You must have following permissions:
  - To configure the Observability resource at the global level, you must have Owner or Team Admin permission.
  - To configure the Observability resource at the data plane level, you must have Data plane Manager permission. For more information, refer Permissions.

### Configuring Observability Resource at the Global level

Procedure
1. In the TIBCO Control Plane UI, click Data Planes.

2. Click Global configuration in the upper-right corner.

3. Click Configure observability stack.
4. Specify the configuration for Logs Server, Traces Server, and Metrics Server. For more information about the configuration fields, refer Observability Resource.
5. Click Save.

### Configuring Observability Resource at the Data Plane level

Procedure
1. In TIBCO Control Plane UI, click Data Planes.
2. Click the data plane card for which you want to configure the Observability resource.

3. Click Data Plane Configuration and then navigate to the Observability page.

4. Perform one of the following tasks:
   - To use the global resource for the data plane, click Use Global resource.
   - To create a separate observability resource at the data plane level with the same global resource configuration, click Edit and Apply.
   - To create a new observability resource at the data plane level, click Add new observability resource for this data plane.
5. Specify the configuration for Logs Server, Traces Server, and Metrics Server. For more information about the configuration fields, refer Observability Resource.
6. Click Save.

Result

The Observability resource is added successfully.

You can switch between Global resource and data plane level resource by clicking the Switch to global resource button next to the resource name. When you switch from data plane level resource to global level resource, data plane level resources are unlinked and deleted in the Control Plane and updated with global level resources.

What to do next

After the Observability resource is added, click the Observability menu. The Observability page displays dashboards such as application instances, requests count, CPU utilization, and memory usage.

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