The monitoring package sets up services to monitor the entire deployed stack. This includes the state of the servers involved in the docker swarm, the docker containers themselves and particular applications such as Kafka. It also captures the logs from the various services.

This monitoring package uses:

• Grafana: for dashboards

• Prometheus: for recording metrics

• Cadvisor: for reading docker container metrics

• Loki: for storing logs

• Node Exporter: for monitoring host machine metrics like CPU, memory etc

To use the monitoring services, include the monitoring package id to your list of package ids when standing up the platform.

Adding application specific metrics

The monitoring service utilises service discovery to discover new metric endpoints to scrape.

To use custom metrics for an application, first configure that application to provide a Prometheus compatible metrics endpoint. Then, let the monitoring service know about it by configuring specific docker service labels that tell the monitoring service to add a new endpoint to scrape. E.g. see lines 8-9:

  kafka-minion:
    image: quay.io/cloudhut/kminion:master
    hostname: kafka-minion
    environment:
      KAFKA_BROKERS: kafka:9092
    deploy:
      labels:
        - prometheus-job-service=kafka
        - prometheus-address=kafka-minion:8080

prometheus-job-service lets Prometheus know to enable monitoring for this container and prometheus-address gives the endpoint that Prometheus can access the metrics on. By default this is assumed to be at the path /metrics by Prometheus.

By using the prometheus-job-service label prometheus will only create a single target for your application even if it is replicated via service config in docker swarm. If you would like to monitor each replica separately (i.e. if metrics are only captured for that replica and not shared to some central location in the application cluster) you can instead used the prometheus-job-task label and Prometheus will create a target for each replica.

A full list od supported labels are listed below:

• prometheus-job-service - indicates this service should be monitored

• prometheus-job-task - indicates each task in the replicated service should be monitored separately

• prometheus-address - the service address Prometheus can scrape metrics from, can only be used with prometheus-job-service

• prometheus-scheme - the scheme to use when scaping a task or service (e.g. http or https), defaults to http

• prometheus-metrics-path - the path to the metrics endpoint on the target (defaults to /metrics)

• prometheus-port - the port of the metrics endpoint. Only usable with prometheus-job-task, defaults to all exposed ports for the container if no label is present

All services must also be on the prometheus_public network to be able to be seen by Prometheus for metrics scraping.

Adding additional dashboards

To add additional dashboards simply use docker configs to add new Grafana dashboard json files into this directory in the Grafana container: /etc/grafana/provisioning/dashboards/

That directory will be scanned periodically and new dashboards will automatically be added to Grafana.

Grafana dashboard json file may be exported directly from the Grafana when saving dashboards or you may lookup the many existing dashboard in the Grafana marketplace.