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How to deploy Orion Context Broker in a Docker Swarm cluster

Docker Swarm is the official docker cluster management solution and it is natively integrated with Docker Engine.

You can find detailed instructions and consideration on running Orion Context Broker on Docker Swarm at this link.

Here we provide only a quick overview.

Alternatively, you can find a general discussion on Orion HA deployment here.

Installing a Docker Swarm test cluster

To deploy on your Linux-based system a Docker Swarm test cluster, you can use miniswarm.

The only pre-requisite are:

Install miniswarm

# As root
$ curl -sSL https://raw.githubusercontent.com/aelsabbahy/miniswarm/master/miniswarm -o /usr/local/bin/miniswarm
$ chmod +rx /usr/local/bin/miniswarm

Start a cluster

# 1 manager 2 workers
$ miniswarm start 3

The above command will create a Docker Swarm cluster of 3 nodes, including 1 master and 2 workers nodes.

Connect to the cluster

$ eval $(docker-machine env ms-manager0)

Now your Docker client will be connected to the manager node of the cluster you just created.

You can check that by running

$ docker machine ls

NAME          ACTIVE   DRIVER       STATE     URL                          SWARM   DOCKER        ERRORS
ms-manager0   *        virtualbox   Running   tcp://192.168.99.101:2376            v18.02.0-ce
ms-worker0    -        virtualbox   Running   tcp://192.168.99.102:2376            v18.02.0-ce
ms-worker1    -        virtualbox   Running   tcp://192.168.99.100:2376            v18.02.0-ce

The node with * is the node to which your docker client will connect.

Deploy Orion Context Broker in HA

To deploy Orion in High Availability, you need first to deploy a MongoDB ReplicaSet, and then deploy on top of it your Orion Context Broker.

Deploy a MongoDB ReplicaSet cluster

Details on how to deploy a MongoDB ReplicaSet in Docker Swarm are available here.

  1. Create an overlay network

    $ docker network create --opt encrypted -d overlay backend
ncb90nkwpiofoof757te09xmt

  2. Create a docker-compose-mongo.yml file (or reuse the scripts in the repository that offers additional functionalities such as healthchecks):

    version: '3.3'

services:

  mongo:
    image: mongo:4.4
    entrypoint: [ "/usr/bin/mongod", "--replSet", "rs", "--journal", "--smallfiles", "--bind_ip", "0.0.0.0"]
    volumes:
      - mongodata:/data/db
    networks:
      - backend
    deploy:
      mode: global
      restart_policy:
        condition: on-failure
      update_config:
        # should you update the mongo cluster this configuration ensure
        # that nodes are updated one by one ensuring that the mongo service
        # remains available to other services. the delay ensure that
        # when the new mongo is deployed it has enough time to be connected
        # to the cluster
        parallelism: 1
        delay: 1m30s

  # this service contains the logic to manage the mongo db
  # replicaset consistency
  controller:
    image: martel/mongo-replica-ctrl:latest
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    environment:
      - OVERLAY_NETWORK_NAME=backend
      - MONGO_SERVICE_NAME=mongo_mongo
      - REPLICASET_NAME=rs
      - MONGO_PORT=27017
          # - DEBUG=1 #uncomment to debug the script
    entrypoint: python /src/replica_ctrl.py
    networks:
      - backend
    depends_on:
      - "mongo"
    deploy:
      mode: replicated
      replicas: 1
      placement:
        constraints: [node.role==manager]
      restart_policy:
        condition: on-failure

volumes:
  # External true ensures that the volume is not re-created if already present
  mongodata:
    external: true

networks:
  backend:
    external:
      name: backend

  3. Deploy the MongoDB ReplicaSet

    $ docker stack deploy -c docker-compose-mongo.yml mongo
Creating service mongo_mongo
Creating service mongo_controller

  4. Check that the deployment worked out correctly (you need to wait the services deployment to be completed):

    $ docker service logs -f mongo_controller
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Waiting mongo service (and tasks) (mongo_mongo) to start
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Mongo service is up and running
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:No previous valid configuration, starting replicaset from scratch
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:replSetInitiate: {'ok': 1.0}
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Primary is: 10.0.0.8
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Primary is: 10.0.0.8
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Primary is: 10.0.0.8
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Primary is: 10.0.0.8
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Primary is: 10.0.0.8
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Primary is: 10.0.0.8
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Primary is: 10.0.0.8
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Primary is: 10.0.0.8
mongo_controller.1.jx664h87o3ft@ms-manager0    | INFO:__main__:Primary is: 10.0.0.8

Deploy a Orion Context Broker cluster

  1. Create a docker-compose-orion.yml file (or reuse the scripts in the repository that offers additional functionalities such as healthchecks and use separate networks for frontend and backend):

    version: '3'

services:

  orion:
    image: fiware/orion:latest
    ports:
      - "1026:1026"
    command: -logLevel DEBUG -dbhost mongo_mongo -rplSet rs -dbTimeout 10000
    deploy:
      replicas: 2
    networks:
      - backend

networks:
  backend:
    driver: overlay
    external: true

  2. Deploy the Orion Context Broker cluster

    $ docker stack deploy -c docker-compose-orion.yml orion
Creating service orion_orion

  3. Check that the deployment worked out correctly (you need to wait the services deployment to be completed):

    $ curl $(docker-machine ip ms-manager0):1026/version -s -S

{
"orion" : {
  "version" : "2.4.0-next",
  "uptime" : "0 d, 0 h, 0 m, 27 s",
  "git_hash" : "f2a3d436b2b507c5fd1611492ad7fad386901952",
  "compile_time" : "Thu Oct 29 15:56:28 UTC 2020",
  "compiled_by" : "root",
  "compiled_in" : "4d72f1940cd1",
  "release_date" : "Thu Oct 29 15:56:28 UTC 2020",
  "doc" : "https://fiware-orion.rtfd.io/",
  "libversions": ...
}
}

  4. Scale up orion:

    $ docker service scale orion_orion=3

orion_orion scaled to 3
overall progress: 2 out of 3 tasks
1/3: running   [==================================================>]
2/3: preparing [=================================>                 ]
3/3: running   [==================================================>]