Deployment with docker-compose

Docker is a great way to get SOTA running in a clean, reproducible way. sbt can build and publish local docker images to test with, and docker-compose combined with some ATS-provided images makes sure all of SOTA’s dependencies are taken care of.

docker-compose overview

Deploying with docker-compose should be quite straightforward. Assuming docker is running on the deployment system, docker-compose -p sota -f deploy/docker-compose/[filename].yml up should get you a running SOTA system. This depends on the following images:

  • From SOTA

    • advancedtelematic/sota-core

    • advancedtelematic/sota-resolver

    • advancedtelematic/sota-webserver

  • External images provided by ATS

    • advancedtelematic/mariadb

    • advancedtelematic/rvi (optional)

When you run docker-compose, it will first search for those images locally, and if it does not find them, it will pull the ones ATS has published on Docker Hub. To ensure you’re running the latest code, you can build the images locally with sbt docker:publishLocal. To check for updates on the published images, you can do a docker-compose -f deploy/docker-compose/[filename].yml pull, or simply docker pull [image name] to update an individual image.

Deployment options

There are three docker-compose files included in the git repo, under /deploy/docker-compose:

  • docker-compose.yml contains the default SOTA Server components.

  • core-rvi.yml contains the additional RVI server node with environment overrides for the SOTA Core server.

  • client-rvi.yml contains the additional RVI client node for testing with the SOTA Client

To start the base SOTA Server, run docker-compose -f docker-compose.yml up. To start the SOTA Server with an RVI backend node, run docker-compose -f docker-compose.yml -f core-rvi.yml up. To start the SOTA Server with both RVI backend and device nodes, run docker-compose -f docker-compose.yml -f core-rvi.yml -f client-rvi.yml up.

Cloud deployment

If you want to deploy to the cloud, docker-compose can also help you do that. The easiest way is to use docker-machine’s AWS driver to create and deploy to a remote host.