Document updated on Mar 8, 2024

Prometheus’ metrics endpoint

Prometheus is an open-source system monitoring and alerting toolkit that you can use to scrape a /metrics endpoint on KrakenD in the selected port. For instance, you could have an endpoint like http://localhost:9091/metrics.

When using Prometheus with OpenTelemetry, you can use a ready-to-use Grafana dashboard to visualize metrics, as shown in the image above.

The mechanics are simple: you add the telemetry/opentelemetry integration with a prometheus exporter, and then you add a Prometheus job to scrape from your KrakenD instances the metrics.

Prometheus Configuration

To enable scrapable Prometheus metrics on Krakend, add the OpenTelemetry integration with a prometheus exporter. The following configuration is an example of how to do it:

{
    "version": 3,
    "extra_config": {
        "telemetry/opentelemetry": {
            "service_name": "krakend_prometheus_service",
            "metric_reporting_period": 1,
            "exporters": {
                "prometheus": [
                    {
                        "name": "local_prometheus",
                        "port": 9090,
                        "process_metrics": true,
                        "go_metrics": true
                    }
                ]
            }
        }
    }
}

The full list of the Prometheus exporter settings are as follows:

In addition, you can do a granular configuration of the metrics you want to expose using the layers attribute and other OpenTelemetry options.

Demonstration setup

The following configuration allows you to test a complete metrics experience, from generation and collection to visualization. The first code snippet is a docker-compose.yaml that declares three different services:

• The krakend service exposing port 8080
• The prometheus service that will scrape the metrics from KrakenD
• A grafana dashboard to display them (it uses our Grafana dashboard)

Notice that the three services declare volumes to pick the configuration.

version: "3"
services:
  krakend:
    image: "krakend:2.7"
    ports:
      - "8080:8080"
    volumes:
      - "./krakend:/etc/krakend/"
  prometheus:
    image: prom/prometheus:latest
    ports:
      - "9090:9090"
    volumes:
      - "./prometheus.yml:/etc/prometheus/prometheus.yml"
  grafana:
    image: grafana/grafana:latest
    ports:
      - "3000:3000"
    environment:
      GF_SECURITY_ADMIN_USER: krakend
      GF_SECURITY_ADMIN_PASSWORD: krakend
      GF_AUT_ANONYMOUS_ENABLED: "true"
    volumes:
      - "./conf/provisioning/datasources:/etc/grafana/provisioning/datasources"
      - "./conf/provisioning/dashboards:/etc/grafana/provisioning/dashboards"
      - "./conf/data/dashboards:/var/lib/grafana/dashboards"

The following YAML configuration is a simple example of pulling data from the /metrics endpoint in KrakenD integration from three different instances:

global:
  scrape_interval:     15s

rule_files:
  # - "first.rules"
  # - "second.rules"

scrape_configs:
  - job_name: krakend_otel
    scrape_interval: 5s
    metrics_path: '/metrics'
    static_configs:
      - targets:
        - 'krakend1:9091'
        - 'krakend2:9091'
        - 'krakend3:9091'
        labels:
          app: kotel_example

Visualizing metrics in a dashboard

When the Prometheus configuration is added into KrakenD, and your Prometheus is scrapping it, you can visualize the data using our Grafana dashboard or make your own.

Migrating from an old OpenCensus configuration (legacy)

Prior to KrakenD v2.6, you had to configure the Prometheus endpoint using the opencensus component. The OpenTelemetry integration is much more powerful and delivers more data while simultaneously giving you more configuration options.

If you had an OpenCensus configuration with a prometheus exporter like the following:

{
  "version": 3,
  "extra_config": {
    "telemetry/opencensus": {
        "sample_rate": 100,
        "reporting_period": 0,
        "exporters": {
          "prometheus": {
              "port": 9091,
              "namespace": "krakend",
              "tag_host": false,
              "tag_path": true,
              "tag_method": true,
              "tag_statuscode": false
          }
      }
    }
  }
}

Then you should make the following changes to upgrade:

• telemetry/opencensus -> Rename to telemetry/opentelemetry
• sample_rate -> Delete this field
• reporting_period -> Rename to metric_reporting_period
• prometheus: {...} -> Add an array surrounding the object, so it becomes prometheus: [{...}]
• namespace -> Rename to name
• tag_host, tag_path,tag_method,tag_statuscode -> Delete them

From here, add any of the additional properties you can add.