A multistage Docker base image for building and running Meteor applications with isolated, repeatable builds.
Disney/meteor-base is a base Docker image specifically designed for Meteor applications using multistage Docker builds. It enables developers to bundle their Meteor apps entirely within Docker, eliminating the need for Node or Meteor on the host machine and ensuring consistent, secure builds. The image leverages Alpine Linux for a lightweight, secure foundation and supports specific Meteor versions via tagged images.
Meteor developers and DevOps engineers who need to containerize Meteor applications for production, especially those using continuous integration (CI) setups where host dependencies are undesirable. It is also suitable for teams prioritizing security scanning and smaller Docker image sizes.
Developers choose this over alternatives because it offers a multistage architecture that produces smaller final images by separating build and runtime stages, reducing attack surface. Unlike some other Meteor Docker images, it builds the app inside Docker, removing host dependencies and ensuring repeatable, isolated builds without requiring pre-built bundles from the host machine.
Base Docker image for use by Meteor apps
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Builds Meteor apps entirely within Docker, eliminating the need for Node or Meteor on the host machine and ensuring repeatable, controlled builds as highlighted in the README.
Separates build and runtime stages to produce smaller final images with reduced attack surface, leveraging modern Docker capabilities for leaner deployments.
Uses lightweight Alpine Linux for improved security scanning and smaller image sizes, making it easier to pass security audits as emphasized in the project philosophy.
Provides tagged images for specific Meteor versions with automatic Node version alignment, allowing precise environment control via the Dockerfile.
Requires copying and editing Dockerfile templates, setting up .dockerignore, and manually matching Meteor and Node versions, which adds initial configuration overhead and potential for errors.
Relies on Docker 17.05 or later for multistage builds, limiting compatibility with older Docker versions and tying the project strictly to the Docker ecosystem.
Focuses solely on building and running the app, lacking integrated features for monitoring, logging, or scaling that production deployments often require, necessitating additional setup.