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Chapter 23. Using the Skupper console

You can use the Skupper console to monitor and troubleshoot your application network. The console provides a visual overview of the sites, links, services, and communication metrics.

Prerequisites

  • Access to an Kubernetes cluster with Network Observer installed.
  • A site is created in a namespace

Procedure

  1. Change context to the site namespace.

  2. If you are using the OpenShift console:

    1. Navigate to Operators Installed Operators.
    2. Choose Red Hat Service Interconnect Network Observer Operator from the list of available Operators, and then click Create Instance.

  3. If you are not using the OpenShift console:

    1. Create a file named network-observer.yaml with the following CR: 

      apiVersion: observability.skupper.io/v2alpha1
kind: NetworkObserver
metadata:
  name: networkobserver-sample
  namespace: west
spec: {}

      Change the namespace value to match the site namespace.

  4. Apply the CR YAML: 

    $ kubectl apply -f network-observer.yaml

  5. Determine the console URL: 

    kubectl get --namespace west -o jsonpath="{.spec.host}" route networkobserver-sample-network-observer
  6. Navigate to the console.

23.1. Configuring the Network observer
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Currently the primary purpose of the Network Observer is to provide a console for monitoring your application network. This section describes advanced configuration.

  1. Change context to a site namespace.

  2. Apply a CR to create the Network Observer instance, for example: 

    apiVersion: observability.skupper.io/v2alpha1
kind: NetworkObserver
metadata:
  name: networkobserver-sample
  namespace: west
spec:
  # OpenShift Route for external access
  route:
    enabled: true
    annotations:
      haproxy.router.openshift.io/timeout: 5m

  # OpenShift OAuth authentication
  auth:
    strategy: openshift
    openshift:
      createCookieSecret: true
      serviceAccount:
        create: true

  # OpenShift Service CA for TLS
  tls:
    openshiftIssued: true

  # Resource limits for production
  containerResources:
    networkObserver:
      requests:
        cpu: 200m
        memory: 512Mi
      limits:
        cpu: 1000m
        memory: 1Gi
    prometheus:
      requests:
        cpu: 500m
        memory: 1Gi
      limits:
        cpu: 2000m
        memory: 4Gi

  # Enable persistent storage for metrics
  prometheus:
    persistence:
      enabled: true
      size: 8Gi

Troubleshooting

If you are concerned about Network Observer resources, consider using standard techniques to monitor those resources. The following example demonstrates how to configure a Prometheus alert that triggers when memory usage exceeds 90% of the defined limit. 

apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
  name: network-observer-memory-alert
  namespace: west
spec:
  groups:
  - name: network-observer.rules
    rules:
    - alert: NetworkObserverHighMemory
      expr: |
        (container_memory_working_set_bytes{namespace="west", container="network-observer"}
        /
        kube_pod_container_resource_limits{namespace="west", container="network-observer", resource="memory"}) > 0.9
      for: 5m
      labels:
        severity: warning
      annotations:
        summary: "Network Observer pod in namespace {{ $labels.namespace }} is using > 90% of its memory limit."
        description: "Pod {{ $labels.pod }} is currently using {{ $value | humanizePercentage }} of its memory limit."
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