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DRAFT

WIP currently protected to magnolia-staff.

There may not be such thing as a ready-made, one-fits-all Magnolia container image; yet there is a common pattern.

This is what we summarize in a few steps, in this cookbook. It is not perfect admittedly, but fairly straightforward.

Magnolia Docker cookbook
  • Pick a base image (or go distro-less if you're adventurous)
    • Primarily pick a tomcat flavor, least setup hassle
    • Alternatively AdoptOpenJDK images are gaining popularity
      • —they exist in various versions and OS/distros (alpine (warning), debian, ubuntu, ubi (redhat), windows);
    • then provision tomcat or alternative app server
      —be it via package-managers, plain download or COPY --from 
  • Configure Magnolia environment, best via tomcat's setenv.sh  & CATALINA_OPTS 
    • set magnolia.properties as system properties e.g. -Dmagnolia.repositories.home , -Dmagnolia.resources.dir 
    • set JVM options / memory settings also as CATALINA_OPTS
  • Consider volumes for the repository (Jackrabbit index), light-modules, content-importer if needed
  • Provision JDBC drivers if using external DB repo config (most likely)
  • Drop in your Magnolia webapp war
    • include project-specific config (publishing key-pairs, receivers config)

Upcoming plans

While Magnolia currently does not offer/support any official Docker image, we intend to improve Magnolia developer & DevOps experience with Docker:

  • first off, provide official guidelines and documentation; this cookbook is a start (smile), likely also for composing an author/public setup

  • clarify the existing, non-supported, Magnolia Docker artifacts on GitHub and Docker Hub

  • consider a default image suitable for light development

  • facilitate externalized configuration (whether YAML and/or properties files, shouldn't matter)

  • we do not foresee publishing a large array of Magnolia ✕ OS/JDK/vendor combinations (rather few build arguments instead), which is why a cookbook matters.

Feedback

The cookbook certainly misses few tips and tricks, pitfalls, etc. Do let us know in the comments so we can improve!

Known issues

  • DX Core on alpine doesn't work currently: native libs required for AI-based functionality are incompatible. CE should work.



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