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title description services documentationcenter author manager editor ms.service ms.workload ms.tgt_pltfrm ms.topic ms.date ms.author
Configure local metrics and logs for Azure API Management self-hosted gateway | Microsoft Docs
Learn how to configure local metrics and logs for Azure API Management self-hosted gateway on a Kubernetes cluster
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05/11/2021
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Configure local metrics and logs for Azure API Management self-hosted gateway

This article provides details for configuring local metrics and logs for the self-hosted gateway deployed on a Kubernetes cluster. For configuring cloud metrics and logs, see this article.

Metrics

The self-hosted gateway supports StatsD, which has become a unifying protocol for metrics collection and aggregation. This section walks through the steps for deploying StatsD to Kubernetes, configuring the gateway to emit metrics via StatsD, and using Prometheus to monitor the metrics.

Deploy StatsD and Prometheus to the cluster

Below is a sample YAML configuration for deploying StatsD and Prometheus to the Kubernetes cluster where a self-hosted gateway is deployed. It also creates a Service for each. The self-hosted gateway will publish metrics to the StatsD Service. We will access the Prometheus dashboard via its Service.

Note

The following example pulls public container images from Docker Hub. We recommend that you set up a pull secret to authenticate using a Docker Hub account instead of making an anonymous pull request. To improve reliability when working with public content, import and manage the images in a private Azure container registry. Learn more about working with public images.

apiVersion: v1
kind: ConfigMap
metadata:
  name: sputnik-metrics-config
data:
  statsd.yaml: ""
  prometheus.yaml: |
    global:
      scrape_interval:     3s
      evaluation_interval: 3s
    scrape_configs:
      - job_name: 'prometheus'
        static_configs:
          - targets: ['localhost:9090']
      - job_name: 'test_metrics'
        static_configs:
          - targets: ['localhost:9102']
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: sputnik-metrics
spec:
  replicas: 1
  selector:
    matchLabels:
      app: sputnik-metrics
  template:
    metadata:
      labels:
        app: sputnik-metrics
    spec:
      containers:
      - name: sputnik-metrics-statsd
        image: prom/statsd-exporter
        ports:
        - name: tcp
          containerPort: 9102
        - name: udp
          containerPort: 8125
          protocol: UDP
        args:
          - --statsd.mapping-config=/tmp/statsd.yaml
          - --statsd.listen-udp=:8125
          - --web.listen-address=:9102
        volumeMounts:
          - mountPath: /tmp
            name: sputnik-metrics-config-files
      - name: sputnik-metrics-prometheus
        image: prom/prometheus
        ports:
        - name: tcp
          containerPort: 9090
        args:
          - --config.file=/tmp/prometheus.yaml
        volumeMounts:
          - mountPath: /tmp
            name: sputnik-metrics-config-files
      volumes:
        - name: sputnik-metrics-config-files
          configMap:
            name: sputnik-metrics-config
---
apiVersion: v1
kind: Service
metadata:
  name: sputnik-metrics-statsd
spec:
  type: NodePort
  ports:
  - name: udp
    port: 8125
    targetPort: 8125
    protocol: UDP
  selector:
    app: sputnik-metrics
---
apiVersion: v1
kind: Service
metadata:
  name: sputnik-metrics-prometheus
spec:
  type: LoadBalancer
  ports:
  - name: http
    port: 9090
    targetPort: 9090
  selector:
    app: sputnik-metrics

Save the configurations to a file named metrics.yaml and use the below command to deploy everything to the cluster:

kubectl apply -f metrics.yaml

Once the deployment finishes, run the below command to check the Pods are running. Note that your pod name will be different.

kubectl get pods
NAME                                   READY   STATUS    RESTARTS   AGE
sputnik-metrics-f6d97548f-4xnb7        2/2     Running   0          1m

Run the below command to check the Services are running. Take a note of the CLUSTER-IP and PORT of the StatsD Service, we would need it later. You can visit the Prometheus dashboard using its EXTERNAL-IP and PORT.

kubectl get services
NAME                         TYPE           CLUSTER-IP    EXTERNAL-IP     PORT(S)                      AGE
sputnik-metrics-prometheus   LoadBalancer   10.0.252.72   13.89.141.90    9090:32663/TCP               18h
sputnik-metrics-statsd       NodePort       10.0.41.179   <none>          8125:32733/UDP               18h

Configure the self-hosted gateway to emit metrics

Now that both StatsD and Prometheus have been deployed, we can update the configurations of the self-hosted gateway to start emitting metrics through StatsD. The feature can be enabled or disabled using the telemetry.metrics.local key in the ConfigMap of the self-hosted gateway Deployment with additional options. Below is a breakdown of the available options:

Field Default Description
telemetry.metrics.local none Enables logging through StatsD. Value can be none, statsd.
telemetry.metrics.local.statsd.endpoint n/a Specifies StatsD endpoint.
telemetry.metrics.local.statsd.sampling n/a Specifies metrics sampling rate. Value can be between 0 and 1. e.g., 0.5
telemetry.metrics.local.statsd.tag-format n/a StatsD exporter tagging format. Value can be none, librato, dogStatsD, influxDB.

Here is a sample configuration:

apiVersion: v1
kind: ConfigMap
metadata:
    name: contoso-gateway-environment
data:
    config.service.endpoint: "<self-hosted-gateway-management-endpoint>"
    telemetry.metrics.local: "statsd"
    telemetry.metrics.local.statsd.endpoint: "10.0.41.179:8125"
    telemetry.metrics.local.statsd.sampling: "1"
    telemetry.metrics.local.statsd.tag-format: "dogStatsD"

Update the YAML file of the self-hosted gateway deployment with the above configurations and apply the changes using the below command:

kubectl apply -f <file-name>.yaml

To pick up the latest configuration changes, restart the gateway deployment using the below command:

kubectl rollout restart deployment/<deployment-name>

View the metrics

Now we have everything deployed and configured, the self-hosted gateway should report metrics via StatsD. Prometheus will pick up the metrics from StatsD. Go to the Prometheus dashboard using the EXTERNAL-IP and PORT of the Prometheus Service.

Make some API calls through the self-hosted gateway, if everything is configured correctly, you should be able to view below metrics:

Metric Description
requests_total Number of API requests in the period
request_duration_seconds Number of milliseconds from the moment gateway received request until the moment response sent in full
request_backend_duration_seconds Number of milliseconds spent on overall backend IO (connecting, sending and receiving bytes)
request_client_duration_seconds Number of milliseconds spent on overall client IO (connecting, sending and receiving bytes)

Logs

The self-hosted gateway outputs logs to stdout and stderr by default. You can easily view the logs using the following command:

kubectl logs <pod-name>

If your self-hosted gateway is deployed in Azure Kubernetes Service, you can enable Azure Monitor for containers to collect stdout and stderr from your workloads and view the logs in Log Analytics.

The self-hosted gateway also supports a number of protocols including localsyslog, rfc5424, and journal. The below table summarizes all the options supported.

Field Default Description
telemetry.logs.std text Enables logging to standard streams. Value can be none, text, json
telemetry.logs.local auto Enables local logging. Value can be none, auto, localsyslog, rfc5424, journal, json
telemetry.logs.local.localsyslog.endpoint n/a Specifies localsyslog endpoint.
telemetry.logs.local.localsyslog.facility n/a Specifies localsyslog facility code. e.g., 7
telemetry.logs.local.rfc5424.endpoint n/a Specifies rfc5424 endpoint.
telemetry.logs.local.rfc5424.facility n/a Specifies facility code per rfc5424. e.g., 7
telemetry.logs.local.journal.endpoint n/a Specifies journal endpoint.
telemetry.logs.local.json.endpoint 127.0.0.1:8888 Specifies UDP endpoint that accepts JSON data: file path, IP:port, or hostname:port.

Here is a sample configuration of local logging:

    apiVersion: v1
    kind: ConfigMap
    metadata:
        name: contoso-gateway-environment
    data:
        config.service.endpoint: "<self-hosted-gateway-management-endpoint>"
        telemetry.logs.std: "text"
        telemetry.logs.local.localsyslog.endpoint: "/dev/log"
        telemetry.logs.local.localsyslog.facility: "7"

Next steps