Visualizing Metrics with Grafana

This task shows you how to set up and use the Istio Dasard to monitor mesh traffic. As part of this task, you will use the Grafana Istio addon and the web-based interface for viewing service mesh traffic data.

The Bookinfo sample application is used as the example application throughout this task.

Before you begin

• Install Istio in your cluster.
• Install the Grafana Addon.
• Install the Prometheus Addon.
• Deploy the Bookinfo application.

Viewing the Istio dasard

1. Verify that the prometheus service is running in your cluster.

   In Kubernetes environments, execute the following command:

   $ kubectl -n istio-system get svc prometheus
   NAME         TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)    AGE
   prometheus   ClusterIP   10.100.250.202   <none>        9090/TCP   103s

2. Verify that the Grafana service is running in your cluster.

   In Kubernetes environments, execute the following command:

   $ kubectl -n istio-system get svc grafana
   NAME      TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)    AGE
   grafana   ClusterIP   10.103.244.103   <none>        3000/TCP   2m25s

3. Open the Istio Dasard via the Grafana UI.

   In Kubernetes environments, execute the following command:

   $ istioctl dasard grafana

   Visit http://localhost:3000/d/G8wLrJIZk/istio-mesh-dasard in your web browser.

   The Istio Dasard will look similar to:

   

4. Send traffic to the mesh.

   For the Bookinfo sample, visit http://$GATEWAY_URL/productpage in your web browser or issue the following command:

   To see trace data, you must send requests to your service. The number of requests depends on Istio’s sampling rate and can be configured using the Telemetry API. With the default sampling rate of 1%, you need to send at least 100 requests before the first trace is visible. To send 100 requests to the productpage service, use the following command:

   $ for i in $(seq 1 100); do curl -s -o /dev/null "http://$GATEWAY_URL/productpage"; done

   Refresh the page a few times (or send the command a few times) to generate a small amount of traffic.

   Look at the Istio Dasard again. It should reflect the traffic that was generated. It will look similar to:

   

   This gives the global view of the Mesh along with services and workloads in the mesh. You can get more details about services and workloads by navigating to their specific dasards as explained below.

5. Visualize Service Dasards.

   From the Grafana dasard’s left hand corner navigation menu, you can navigate to Istio Service Dasard or visit http://localhost:3000/d/LJ_uJAvmk/istio-service-dasard in your web browser.

   The Istio Service Dasard will look similar to:

   

   This gives details about metrics for the service and then client workloads (workloads that are calling this service) and service workloads (workloads that are providing this service) for that service.

6. Visualize Workload Dasards.

   From the Grafana dasard’s left hand corner navigation menu, you can navigate to Istio Workload Dasard or visit http://localhost:3000/d/UbsSZTDik/istio-workload-dasard in your web browser.

   The Istio Workload Dasard will look similar to:

   

   This gives details about metrics for each workload and then inbound workloads (workloads that are sending request to this workload) and outbound services (services to which this workload send requests) for that workload.

About the Grafana dasards

The Istio Dasard consists of three main sections:

1. A Mesh Summary View. This section provides Global Summary view of the Mesh and shows HTTP/gRPC and TCP workloads in the Mesh.

2. Individual Services View. This section provides metrics about requests and responses for each individual service within the mesh (HTTP/gRPC and TCP). This also provides metrics about client and service workloads for this service.

3. Individual Workloads View: This section provides metrics about requests and responses for each individual workload within the mesh (HTTP/gRPC and TCP). This also provides metrics about inbound workloads and outbound services for this workload.

For more on how to create, configure, and edit dasards, please see the Grafana documentation.

Cleanup

• Remove any kubectl port-forward processes that may be running:

  $ killall kubectl

• If you are not planning to explore any follow-on tasks, refer to the Bookinfo cleanup instructions to shutdown the application.