Can ColdFusion Run on Docker Containers?

Definition

Yes. ColdFusion can run on Docker containers. Both Adobe ColdFusion (commercial CFML engine) and Lucee (open‑source CFML engine) provide containerized options, allowing you to package your CFML application, the CF server, and its dependencies into a portable image you can run consistently on any host with Docker or in Kubernetes.

Running ColdFusion on Docker means your app and the CF engine run as a lightweight, isolated process with reproducible Configuration, fast startup, and easy Scaling.

How It Works

At a high level, you build or pull a ColdFusion container image, supply Configuration via environment variables and/or startup scripts, mount your CFML code as a volume or bake it into the image, and then run the container. You can orchestrate multiple containers (app, database, cache, Reverse proxy) using docker-compose or Kubernetes.

Options for Running ColdFusion in Containers

• Adobe ColdFusion images

  • Official container images are available from Adobe’s container registries, with tags for supported versions (e.g., 2023, 2021).
  • You must accept the EULA and comply with Licensing terms. Images support environment-driven setup and package installs via CFPM (ColdFusion Package Manager).

• Lucee images

  • Official images under lucee/ on Docker registries (Tomcat-based). Easy to start and well-documented for development and production.

• CommandBox images (by Ortus Solutions)

  • A flexible image that runs either Adobe ColdFusion or Lucee via CommandBox, with simple JSON configuration (server.json). Great for dev/prod parity and scripting.

• Custom images

  • Build your own Dockerfile using a base Linux image plus a CFML engine of your choice. Gives maximum control but requires more setup.

Typical Architecture

• Reverse proxy / TLS termination: Nginx or Apache HTTPD
• ColdFusion app container(s): Adobe CF or Lucee
• Database: MySQL, SQL Server, PostgreSQL, etc.
• Distributed cache/session storage: Redis or Memcached
• Observability: log shipper, metrics agent (e.g., Prometheus exporter, Datadog, New Relic)
• Optional background workers or Scheduled tasks

This design supports Microservices, scalable monoliths, and blue/green deployments.

Step-by-Step: Getting Started

Option A: Rapid development Start with Lucee

1. Pull and run:

• docker run -d -p 8888:8888 –name my-lucee lucee/lucee:latest

2. Put your CFML code into a local folder and mount it:

• docker run -d -p 8888:8888 -v ./app:/var/www lucee/lucee:latest

3. Visit http://localhost:8888 to verify.

Option B: Adobe ColdFusion with Environment-Driven Setup

1. Obtain the official Adobe ColdFusion image for your version (e.g., CF 2023). Check Adobe’s documentation for the exact image name and tags.

2. Run with EULA and admin password:

• docker run -d -p 8500:8500 -e acceptEULA=YES -e CF_ADMIN_PASSWORD=StrongP@ss! IMAGE_TAG

3. Bake your app and configuration into an image (recommended):

• Create a Dockerfile that copies your app and runs CFPM to add packages (PDFg, SAML, etc.). Use startup scripts to apply CF Administrator settings via cfsetup/cfpm.

H5: Minimal Dockerfile idea (Adobe ColdFusion)

• FROM <2023>2023>