How Scott unified 300+ Environments With Jira, Jenkins, and Golive

Scott is a software developer responsible for more than 300 auto-deployable VMs and physical servers used for testing and development. His environments are dynamic and not always reserved or tied directly to Jira, which makes traditional “one environment per project” models hard to apply.

Golive, together with Jira and Jenkins, became a practical way for Scott to bring structure to this landscape without changing how his teams work.

In this success story inspired by a review published on the Atlassian Marketplace, you’ll learn how that took shape in his real setup and how each part of his process came together in practice.

Being able to easily organize and create tailored dashboards for individual teams has been a tremendous upgrade from what we were using previously (simple HTML and everything on one horrific page). Scott

Organizing 300+ Environments With Jira Dashboards

Scott collaborates with several teams that rely on the same pool of environments for testing and development. Instead of keeping everything on a single page, he uses Golive to build dashboards that reflect what each group actually needs. Every team gets a focused view of the environments relevant to their work, without the clutter of the full landscape.

In his own words, “being able to easily organize and create tailored dashboards for individual teams has been a tremendous upgrade from what we were using previously (simple HTML and everything on one horrific page).”

Each team sees only what matters to them:

• the environments they touch most often,
• the current state of those environments,
• and deployment history linked to Jira issues.

This follows the way Golive works with Jenkins: deployment details, versions, and environment status can be updated directly (and automatically) from the CI/CD pipelines, and that data becomes the foundation for the dashboards Scott builds in Jira. Instead of relying on a static page, he now works with views that stay up-to-date as Jenkins sends updates to Golive.

Using the Jenkins Shared Library to Keep History Up to Date

Scott also adopted Golive’s Jenkins Shared Library. The documentation explains how to add it globally in Jenkins and how to use pipeline steps to send deployment information to Golive and Jira.

Scott describes this setup as straightforward:
“Adding their shared library as a global to Jenkins was simple, and makes updating each environment’s history fast and easy.”

From that integration, his teams gain:

• automatic updates of the Golive environment history when a pipeline runs,
• deployment information associated with Jira issues through commit references,
• missing Jira versions created automatically, and fixVersion fields populated automatically,
• Version and release details are available directly in Jira, where people already work.

This reflects how the three tools operate together in a real deployment workflow:

For a detailed technical breakdown of how this integration works step-by-step, refer to the article on integrating Jira and Jenkins, which provides a clear walkthrough of the process. 

Adapting Golive to a Non-Standard Use Case

Scott’s scenario is openly “unorthodox”:
His environments “are not always reserved/tied to Jira.”

Even with that, Golive fits his needs because:

• Dashboards do not depend on a strict reservation model,
• environments can live independently of specific Jira reservations,
• Teams still gain clear deployment history and visibility.

This shows that the combination of Jira, Jenkins, and Golive can support setups that don’t follow a classic “one project, one set of environments” pattern; the tooling flexes to align with how infrastructure is used in practice.

Support That Helps Explore Edge Cases

Scott also highlights his experience with Apwide’s support team:

“I’ve sent some strange requests off to their support on many occasions and feel welcome to do so – they respond quickly, and I’ve experienced nothing but professionalism. Everyone I’ve worked with has had a comprehensive understanding of their product and is always happy to help me (even when I am way off in the weeds).”

For someone managing hundreds of servers and unusual workflows, this kind of support makes it easier to refine the integration, try new ideas, and rely on the tool in day-to-day operations.

A Concrete Result

Scott’s experience highlights how this setup supports his work at scale, creating more clarity in the way teams follow deployments and understand what’s happening across their environment landscape. It brings a structure that holds up even as their infrastructure grows, setting the stage for the practical results outlined below.

This setup brings steady, practical improvement, less manual effort, clearer visibility, and a toolset that adjusts to the way Scott’s teams already work.