This project is no longer actively maintained and is considered deprecated. The code remains available for public archive. Please note that support for this project will end on February 29 2024. Beyond this date, there will be no support provided.
For more information and context regarding this deprecation: https://confluence.atlassian.com/enterprise/deploy-data-center-products-with-the-aws-quick-start-template-1224641863.html
For architectural details, step-by-step instructions, and customization options, see the deployment guide.
To post feedback, submit feature ideas, or report bugs, use the Issues section of this GitHub repo.
To submit code for this Quick Start, see the AWS Quick Start Contributor's Kit.
It is recommended that you install the hooks under submodules/quickstart-atlassian-services/scripts/hooks/; this will
ensure that the metadata tags in the templates are automatically updated on
commit. The simplest method of doing this is:
git config --add core.hooksPath submodules/quickstart-atlassian-services/scripts/hooks/
Alternatively you can invoke
submodules/quickstart-atlassian-services/scripts/hooks/update-tags.py
manually.
For production deployments, avoid launching the Crowd Quick Start from the AWS Quick Start interface. If you do, any changes made to the Quick Start templates will propagate directly to your deployment. These updates sometimes introduce unexpected changes that could break your deployment.
Instead, clone the Crowd Quick Start templates to a custom Amazon Simple Storage Service (Amazon S3) bucket. Then, launch the templates directly from the S3 bucket. This practice lets you control when to apply the latest changes to your environment. See Launching from a cloned Quick Start (recommended for production) for instructions.
This Quick Start's CloudFormation templates were developed by Atlassian, in collaboration with AWS. To report an issue or request a feature, you can contact Atlassian directly.
For additional Atlassian documentation on how to manage Quick Start deployments, see Running Crowd in an AWS cluster.