This page details the fundamental commands you need to deploy your Nuxeo application in Docker in a development environment. It also provides a checklist when going on Production with Docker.
Starting With Docker in a Development Environment
We recommend to use the default Nuxeo Docker image in development mode (NUXEO_DEV=true
), allowing you to hot reload your instance, and stop the server without shutting down the container.
Get and Run the LTS 2023 Docker Image
In terms of software, the only requirement to run the Nuxeo Docker image is Docker itself: Java, as well as all the external software, are integrated in the Docker image.
Execute the following command line:
$ docker run --name nuxeo \
-e NUXEO_CLID="<NUXEO_CLID>" \
-p 8080:8080 \
-e NUXEO_DEV=true \
-e NUXEO_PACKAGES="nuxeo-web-ui" \
docker-private.packages.nuxeo.com/nuxeo/nuxeo:2023
Few notes:
- You can add
--rm
option if your container should be deleted when shut down - To have different containers, change the name of your container
Start and Stop Nuxeo Instance
To start/stop your Nuxeo instance, use this command:
docker start/stop nuxeo
Remember that the nuxeo
value corresponds to the name of the container you have set when running the container. To run different Nuxeo instances, simply run the container with a different name.
Use the nuxeoctl Script
nuxeoctl
is made available in dev mode, and the container is not shut down when stopping the server in development mode:
docker exec nuxeo nuxeoctl stop
Install Packages
Either edit the NUXEO_PACKAGES
values when running the container, or use the nuxeoctl
script:
docker exec nuxeo nuxeoctl stop
docker exec nuxeo nuxeoctl mp-install <package_name>
docker exec nuxeo nuxeoctl start
View Logs
By default, the server logs are printed to the standard output when running the Nuxeo container.
If you've run the Nuxeo container with a different command than the default one, e.g. docker exec nuxeo nuxeoctl start
, you can view the logs with:
docker logs -f nuxeo
or
docker exec nuxeo tail -n500 -f /var/log/nuxeo/server.log
Access Nuxeo Server with Bash
If you need to explore the Nuxeo installation folder:
docker exec -it nuxeo bash
Going Further
For now, the entire Nuxeo stack, 3rd party software and data are hosted inside the same Docker container. This configuration won't allow you:
- To test / repeat / rollback a Nuxeo upgrade because you'll be inevitably altering the database and files
- To validate a "production-like" architecture:
- Use an external database as MongoDB
- Use an Elasticsearch cluster
- Use Kafka to run the stream-related features
Let's review the key elements which should be taken into account when going into more complex architecture.
Build a Custom Dockerfile
First, it is important to customize the Nuxeo Docker Image by building a Docker image from the Nuxeo one to have immutable images configured at build time.
It is necessary then:
- To build a custom Dockerfile
- To install the Nuxeo packages and set your configuration properties on build time (Dockerfile), not runtime.
Once you have your Dockerfile is ready, you can quickly build the same image over and over, without having to take the time to do it manually. This is a much more efficient and standard method for creating new images than is committing changes to a pulled image.
Add Data Persistence
Persisting your data is interesting when you need to share resources between different containers. In the case of Nuxeo, this is interesting to store the data inside the same location.
→ More information here.
Manage Nuxeo Properties
It is a good practice to externalize the Nuxeo properties which should be added to the nuxeo.conf
file. You can easily append the values set by default.
→ More information here.
Adjust Container Settings
Adapt the JAVA_OPTS
value for your container
→ More information here.
Follow General Best Practices
Independently of the Nuxeo deployment (ZIP or Docker), you need to follow:
→ The security recommendations
It is also important to ensure that you monitor correctly your Nuxeo instance.
Finally, when deploying your Nuxeo infrastructure in production, you will need to manage scaling.
To comply with those requirement, consider using Kubernetes to manage and automate your Nuxeo deployment (or Docker Swarm).