Skedler Reports is now available in the Docker Compose. It is a tool for defining and running multi-container (Skedler Reports) Docker applications.With Compose, you use a YAML file to configure your application's services. Then with a single command, you create and start all the services from your configuration. 

  • Install Docker Compose (Note: docker-compose is not pre-installed with Docker on Linux) 

  • Install docker-compose following the installation instructions that can be found here 

Step-by-Step Instruction

Step 1: Define service in a Compose file:

  • Create a file called docker-compose.yml in your project directory and paste the following 

    • docker-compose.yml:  

      version: '2.2'
          image: skedler/reports:latest
          container_name: reports
          privileged: true
            - SYS_ADMIN
            - /sys/fs/cgroup:/sys/fs/cgroup:ro
            - reportdata:/var/lib/skedler
            - ./reporting.yml:/opt/skedler/config/reporting.yml
          command: opt/skedler/bin/skedler
            - 3000:3000
            - skedlernet
          driver: local

  • This Compose file defines the service of Skedler Reports. 

Step 2: Basic Skedler configurations using reporting.yml

  • a) Create a files called reporting.yml in your project directory. 

    • Get the reporting.yml file from here 

  • b) Configure Skedler Reports Configuration like port, kibana_index, Elasticsearch URL, Kibana URL, Grafana URl and skedler_index in reporting.yml

    • port - The port in which skedler runs. Default port is 3000
    • elasticsearch_url -Elasticsearch URL with the port (even if the port is 80) in the following format <protocol>://<server>:<port> 
    • kibana_url - Kibana URL with the port in the following format <protocol>://<server>:<port
    • grafana_url - Grafana URL with the port in the following format <protocol>://<server>:<port>
  • Note: For more configuration options kindly refer the article reporting.yml and ReportEngineOptions Configuration

    c) The following folders are persisted in the mapped volume (ie reportdata)

    • Log files -  log_dir: Persist log information in /var/lib/skedler/logs folder.
    • Custom images, images and custom CSS - ui_files_location: Persist UI information in /var/lib/skedler/uifiles folder.
    • Database - Persist Skedler infomations in /var/lib/skedler/skedler.db and /var/lib/skedler/skedlerHistory.db
    • *Reports -  reports_dir: Persist generated report information in /var/lib/skedler/reports folder.
  • Note: *Report generation path needs to be configured for "Base Folder Directory" as "/var/lib/skedler/reports" in the Skedler configuration page to persist the generated reports.

Step 3: Build and run your app with compose

  • From your project directory, start up your application by running 

    sudo docker-compose up

    Compose pulls a Skedler Reports image, builds an image for your code, and starts the services you defined

    Enter http://<hostIP>:3000 in a browser to see the Skedler Reports application running 

    If you want to run your services in the background, you can pass the -d flag (for "detached" mode) to docker-compose up and docker-compose ps to see what is currently running

    sudo docker-compose up -d

    To stop the service use the following command:

    sudo docker-compose down

    You can bring everything down, removing the containers entirely, with the down command. Pass --volumes to also remove the data volume just type:

    sudo docker-compose down -v

How to generate debug logs for Skedler Reports in Docker Compose

Note: If you are face an issue in running Skedler Reports in Docker Compose, the support team will request you to run skedler in debug mode and upload the log files .  

To run Skedler Reports in debug mode change the "command" keyword in the docker-compose.yml as shown below, 

command: opt/skedler/bin/skedler debug