Docker compose is a tool for defining and running multi-container (Skedler Reports, Elasticsearch and Kibana) 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.
In this section, I will describe how to create containerized installation for Skedler Reports, Elasticsearch and Kibana.
Benefits:
- You describe the multi-container setup in a clear way and bring up the containers in a single command.
- You can define the priority and dependency of the container to other containers.
Step-by-Step Instruction:
Step 1: Define services in a Compose file:
Create a file called docker-compose.yml in your project directory and paste the following
docker-compose.yml:
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--- version: "2.4" services: # Skedler Reports container reports: image: skedler/reports:latest container_name: reports privileged: true cap_add: - SYS_ADMIN volumes: - /sys/fs/cgroup:/sys/fs/cgroup:ro - reportdata:/var/lib/skedler - ./reporting.yml:/opt/skedler/config/reporting.yml command: /opt/skedler/bin/skedler depends_on: elasticsearch: { condition: service_healthy } ports: - 3000:3000 healthcheck: test: ["CMD", "curl", "-s", "-f", "http://localhost:3000"] networks: ['stack'] # Elasticsearch container elasticsearch: container_name: elasticsearch hostname: elasticsearch image: "docker.elastic.co/elasticsearch/elasticsearch:7.1.1" logging: options: max-file: "3" max-size: "50m" environment: - http.host=0.0.0.0 - transport.host=127.0.0.1 - bootstrap.memory_lock=true - "ES_JAVA_OPTS=-Xms${ES_JVM_HEAP} -Xmx${ES_JVM_HEAP}" mem_limit: ${ES_MEM_LIMIT} ulimits: memlock: soft: -1 hard: -1 volumes: - ./config/elasticsearch/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml - esdata:/usr/share/elasticsearch/data ports: ['9200:9200'] healthcheck: test: ["CMD", "curl","-s" ,"-f", "http://localhost:9200/_cat/health"] networks: ['stack'] #Kibana container kibana: container_name: kibana hostname: kibana image: "docker.elastic.co/kibana/kibana:7.1.1" logging: options: max-file: "3" max-size: "50m" volumes: - ./config/kibana/kibana.yml:/usr/share/kibana/config/kibana.yml ports: ['5601:5601'] networks: ['stack'] depends_on: elasticsearch: { condition: service_healthy } restart: on-failure healthcheck: test: ["CMD", "curl", "-s", "-f", "http://localhost:5601/"] retries: 6 volumes: esdata: driver: local reportdata: driver: local networks: {stack: {}} |
This Compose file defines three services, Skedler Reports, Elasticsearch and Kibana.
Step 2: Basic configurations using reporting.yml and kibana.yml
Create a files called reporting.yml in your project directory.
Getting the reporting.yml file found here
Note: For more configuration options kindly refer the article reporting.yml and ReportEngineOptions Configuration
Create a files called kibana.yml in your project directory.
Note: For more configuration options kindly refer the article kibana.yml
Step 3: Build and run your app with docker-compose
From your project directory, start up your application by running
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sudo docker-compose up -d |
Compose pulls a Skedler Reports, Elasticsearch and Kibana images, builds an image for your code, and starts the services you defined
Skedler Reports is available at http://<hostIP>:3000, Elasticsearch is available at http://<hostIP>:9200 and Kibana is available at http://<hostIP>:5601 .
Summary
Docker compose is a useful tool to manage container stacks for your client. And manage all related containers with one single command.
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