docker-scripts/linux/ecosystem/atlassian/crowd/5/5.1.1/README.md

Crowd provides single sign-on and user identity that's easy to use.

Learn more about Crowd: https://www.atlassian.com/software/crowd

Contents

[TOC]

Overview

This Docker container makes it easy to get an instance of Crowd up and running.

Note: ** Use docker version >= 20.10.10 **

Quick Start

For the CROWD_HOME directory that is used to store application data (amongst other things) we recommend mounting a host directory as a data volume, or via a named volume.

To get started you can use a data volume, or named volumes. In this example we'll use named volumes.

docker volume create --name crowdVolume
docker run -v crowdVolume:/var/atlassian/application-data/crowd --name="crowd" -d -p 8095:8095 atlassian/crowd

Success. Crowd is now available on http://localhost:8095*

Please ensure your container has the necessary resources allocated to it. See Supported Platforms for further information.

* Note: If you are using docker-machine on Mac OS X, please use open http://$(docker-machine ip default):8095 instead.

Memory / Heap Size

If you need to override Crowd's default memory allocation, you can control the minimum heap (Xms) and maximum heap (Xmx) via the below environment variables.

• JVM_MINIMUM_MEMORY (default: 384m)

  The minimum heap size of the JVM

• JVM_MAXIMUM_MEMORY (default: 768m)

  The maximum heap size of the JVM

Reverse Proxy Settings

If Crowd is run behind a reverse proxy server as described here, then you need to specify extra options to make Crowd aware of the setup. They can be controlled via the below environment variables.

• ATL_PROXY_NAME (default: NONE)

  The reverse proxy's fully qualified hostname. CATALINA_CONNECTOR_PROXYNAME is also supported for backwards compatability.

• ATL_PROXY_PORT (default: NONE)

  The reverse proxy's port number via which Crowd is accessed. CATALINA_CONNECTOR_PROXYPORT is also supported for backwards compatability.

• ATL_TOMCAT_PORT (default: 8095)

  The port for Tomcat/Crowd to listen on. Depending on your container deployment method this port may need to be [exposed and published][docker-expose].

• ATL_TOMCAT_SCHEME (default: http)

  The protocol via which Crowd is accessed. CATALINA_CONNECTOR_SCHEME is also supported for backwards compatability.

• ATL_TOMCAT_SECURE (default: false)

  Set 'true' if ATL_TOMCAT_SCHEME is 'https'. CATALINA_CONNECTOR_SECURE is also supported for backwards compatability.

The following Tomcat/Catalina options are also supported. For more information, see https://tomcat.apache.org/tomcat-8.5-doc/config/index.html.

• ATL_TOMCAT_MGMT_PORT (default: 8000)
• ATL_TOMCAT_MAXTHREADS (default: 100)
• ATL_TOMCAT_MINSPARETHREADS (default: 10)
• ATL_TOMCAT_CONNECTIONTIMEOUT (default: 20000)
• ATL_TOMCAT_ENABLELOOKUPS (default: false)
• ATL_TOMCAT_PROTOCOL (default: HTTP/1.1)
• ATL_TOMCAT_ACCEPTCOUNT (default: 10)
• ATL_TOMCAT_MAXHTTPHEADERSIZE (default: 8192)

JVM Configuration

If you need to pass additional JVM arguments to Crowd, such as specifying a custom trust store, you can add them via the below environment variable

• JVM_SUPPORT_RECOMMENDED_ARGS

  Additional JVM arguments for Crowd

Example:

docker run -e JVM_SUPPORT_RECOMMENDED_ARGS=-Djavax.net.ssl.trustStore=/var/atlassian/application-data/crowd/cacerts -v crowdVolume:/var/atlassian/application-data/crowd --name="crowd" -d -p 8095:8095 atlassian/crowd

Data Center configuration

This docker image can be run as part of a Data Center cluster. You can specify the following properties to start Crowd as a Data Center node, instead of manually configuring a cluster. See Installing Crowd Data Center for more information.

Container Configuration

• SET_PERMISSIONS (default: true)

  Define whether to set home directory permissions on startup. Set to false to disable this behaviour.

Advanced Configuration

As mentioned at the top of this section, the settings from the environment are used to populate the application configuration on the container startup. However in some cases you may wish to customise the settings in ways that are not supported by the environment variables above. In this case, it is possible to modify the base templates to add your own configuration. There are three main ways of doing this; modify our repository to your own image, build a new image from the existing one, or provide new templates at startup. We will briefly outline this methods here, but in practice how you do this will depend on your needs.

Building your own image

• Clone the Atlassian repository at https://bitbucket.org/atlassian-docker/docker-atlassian-crowd/
• Modify or replace the Jinja templates under config; NOTE: The files must have the .j2 extensions. However you don't have to use template variables if you don't wish.
• Build the new image with e.g: docker build --tag my-crowd-image --build-arg CROWD_VERSION=3.x.x .
• Optionally push to a registry, and deploy.

Build a new image from the existing one

• Create a new Dockerfile, which starts with the Atlassian Crowd base image e.g: FROM atlassian/crowd:latest.
• Use a COPY line to overwrite the provided templates.
• Build, push and deploy the new image as above.

Overwrite the templates at runtime

There are two main ways of doing this:

• If your container is going to be long-lived, you can create it, modify the installed templates under /opt/atlassian/etc/, and then run it.
• Alternatively, you can create a volume containing your alternative templates, and mount it over the provided templates at runtime with --volume my-config:/opt/atlassian/etc/.

Shared directory and user IDs

By default the Crowd application runs as the user crowd, with a UID and GID of 2004. Consequently this UID must have write access to the shared filesystem. If for some reason a different UID must be used, there are a number of options available:

• The Docker image can be rebuilt with a different UID.
• Under Linux, the UID can be remapped using user namespace remapping.

To preserve strict permissions for certain configuration files, this container starts as root to perform bootstrapping before running Crowd under a non-privileged user account. If you wish to start the container as a non-root user, please note that Tomcat configuration will be skipped and a warning will be logged. You may still apply custom configuration in this situation by mounting configuration files directly, e.g. by mounting your own server.xml file directly to /opt/atlassian/crowd/apache-tomcat/conf/server.xml

Upgrade

To upgrade to a more recent version of Crowd you can simply stop the crowd container and start a new one based on a more recent image:

docker stop crowd
docker rm crowd
docker run ... (See above)

As your data is stored in the data volume directory on the host it will still be available after the upgrade.

Note: Please make sure that you don't accidentally remove the crowd container and its volumes using the -v option.

Backup

For evaluations you can use the built-in database that will store its files in the Crowd home directory. In that case it is sufficient to create a backup archive of the docker volume.

If you're using an external database, you can configure Crowd to make a backup automatically each night. This will back up the current state, including the database to the crowdVolume docker volume, which can then be archived. Alternatively you can backup the database separately, and continue to create a backup archive of the docker volume to back up the Crowd Home directory.

Read more about data recovery and backups: Backing Up and Restoring Data

Versioning

The latest tag matches the most recent release of Atlassian Crowd. Thus atlassian/crowd:latest will use the newest version of Crowd available.

Alternatively you can use a specific major, major.minor, or major.minor.patch version of Crowd by using a version number tag:

• atlassian/crowd:3
• atlassian/crowd:3.2
• atlassian/crowd:3.2.3

All versions from 3.0+ are available

Supported JDK versions

All the Atlassian Docker images are now JDK11 only, and generated from the official Eclipse Temurin OpenJDK Docker images.

The Docker images follow the Atlassian Support end-of-life policy; images for unsupported versions of the products remain available but will no longer receive updates or fixes.

Historically, we have also generated other versions of the images, including JDK8, Alpine, and 'slim' versions of the JDK. These legacy images still exist in Docker Hub, however they should be considered deprecated, and do not receive updates or fixes.

If for some reason you need a different version, see "Building your own image" above.

Supported architectures

Currently the Atlassian Docker images are built for the linux/amd64 target platform; we do not have other architectures on our roadmap at this point. However the Dockerfiles and support tooling have now had all architecture-specific components removed, so if necessary it is possible to build images for any platform supported by Docker.

Building on the target architecture

Note: This method is known to work on Mac M1 and AWS ARM64 machines, but has not be extensively tested.

The simplest method of getting a platform image is to build it on a target machine. The following assumes you have git and Docker installed. You will also need to know which version of Crowd you want to build; substitute CROWD_VERSION=x.x.x with your required version:

git clone --recurse-submodule https://bitbucket.org/atlassian-docker/docker-atlassian-crowd.git
cd docker-atlassian-crowd
docker build --tag my-image --build-arg CROWD_VERSION=x.x.x .

This image can be pushed up to your own Docker Hub or private repository.

Troubleshooting

These images include built-in scripts to assist in performing common JVM diagnostic tasks.

Thread dumps

/opt/atlassian/support/thread-dumps.sh can be run via docker exec to easily trigger the collection of thread dumps from the containerized application. For example:

docker exec my_crowd /opt/atlassian/support/thread-dumps.sh

By default this script will collect 10 thread dumps at 5 second intervals. This can be overridden by passing a custom value for the count and interval, by using -c / --count and -i / --interval respectively. For example, to collect 20 thread dumps at 3 second intervals:

docker exec my_container /opt/atlassian/support/thread-dumps.sh --count 20 --interval 3

Thread dumps will be written to $APP_HOME/thread_dumps/<date>.

Note: By default this script will also capture output from top run in 'Thread-mode'. This can be disabled by passing -n / --no-top

Heap dump

/opt/atlassian/support/heap-dump.sh can be run via docker exec to easily trigger the collection of a heap dump from the containerized application. For example:

docker exec my_container /opt/atlassian/support/heap-dump.sh

A heap dump will be written to $APP_HOME/heap.bin. If a file already exists at this location, use -f / --force to overwrite the existing heap dump file.

Manual diagnostics

The jcmd utility is also included in these images and can be used by starting a bash shell in the running container:

docker exec -it my_container /bin/bash

Support

For product support, go to:

• https://support.atlassian.com/crowd/

You can also visit the Atlassian Data Center on Kubernetes forum for discussion on running Atlassian Data Center products in containers.

Changelog

For a detailed list of changes to the Docker image configuration see the Git commit history.

License

Copyright © 2019 Atlassian Corporation Pty Ltd. Licensed under the Apache License, Version 2.0.