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Data Center use cases

Data Center use cases

Owned by Stanley Neychev
Last updated: Apr 03, 2025


The power of Configuration Manager

Configuration Manager for Jira (CMJ) is a powerful tool designed to address complex administrative tasks in Jira Data Center environments. Whether you're managing multiple Jira instances, migrating projects, or implementing governance controls, CMJ provides you with the tools to streamline your workflow.

Below are some key use cases where CMJ helps Jira administrators maintain consistency, security, and scalability across their Data Center environments. Be sure to inspect the licenses required for your preferred use case before you start considering its implementation.

Use cases

Test - Staging - Production

Easily move projects and configurations between test, staging, and production environments while ensuring consistency and data integrity.

Jira Clones

Create and maintain cloned Jira instances with identical configurations for testing, development, or disaster recovery purposes.

Move projects with issue data

Seamlessly transfer projects—including all issue data, workflows, permissions, and custom fields—across Jira instances.

Project template

Standardize project setups by using templates that ensure consistency across different teams and projects in your Jira Data Center instance.

Project backup and CMDB

Leverage CMJ to create comprehensive backups of projects and configurations, ensuring compliance and integration with your CMDB (Configuration Management Database).

Project archiving

Archive inactive projects while preserving their data and configurations, optimizing Jira’s performance and usability.

Merge Jira Servers

Consolidate multiple Jira Data Center instances into a unified environment, maintaining data integrity and minimizing downtime.

Delegated project administration

Empower project administrators with controlled permissions to manage their projects independently without impacting global configurations.

Incremental archiving

Archive Jira projects and configurations in stages, maintaining access to recent data while optimizing performance.