No-code integration platform for rich bi-directional sync
Zero downtime migration to tool of your choice
Keep Historical Data, Without Slowing Down Your Tools
Migrate or restructure Azure DevOps Instances
Real-time, context-rich data lake for AI or analytics
By Role
Accelerate delivery with clear insights
Transform smarter with a connected digital thread
Confident transitions for every enterprise change
By Initiative
Modernize and move to cloud without disruption
Build a compliant digital thread for complex environments
Build the foundation for smarter AI
By Domain
No-code integration across teams & systems
Enable collaboration between IT, support & business teams
Connect PLM & engineering teams for smarter products
Ensure regulatory compliance from start to release
Explore the latest in technology and best practices
Success stories from the field
Actionable insights for your business challenges.
See solutions in action
Learn, plan, and execute with confidence
Official announcements and updates
Join discussions that drive results
Stay ahead with curated insights
Replacing an ALM system shouldn’t mean losing years of engineering history. Learn why legacy data retention matters, why common workarounds fail, and how purpose-built ALM data archiving helps organizations preserve traceability, compliance, and institutional knowledge after migration.
In OpsHub’s latest feature video, watch how to address challenges related to data inconsistency by keeping data in sync as entities are deleted or moved within projects. This prevents duplication or orphaned data. In this feature, if the host system prohibits movement, OpsHub Integration Manager labels the former entity as deprecated, providing an easy view and clarity of functions. Watch the video to learn how the feature works!
Schedule a 30-minute live demo with our integration experts
Project restructuring or changing type of backlog have become common and frequent operations nowadays with expanding teams and flexible modern age ALM tools. The focus is now shifting from simply integrating to tools with simple fields like summary, description and status to a more holistic integration experience keeping both tools in the same state.
In this video, using the example of Jira and Digital ai Agility, we will demonstrate OpsHub’s latest feature, Entity, Project and Issue Type Movement, Restructuring and Replication to address issues of data inconsistency between systems. We will also change the backlog type in Jira and demonstrate how it is replicated in Agility and vice versa along with the replication of inline references and images between the systems.
On the right-hand side of the screen, we have created a project named Trinity J in Jira, and on the left, we can see the corresponding Trinity A project in Agility. We have pre- synchronized tense stories from Trinity J in Jira to Trinity A in Agility. Let’s first look at the project movement in Jira. Here, we have created another project named EDM J. We are now moving all the ten entities from Trinity J to EDM J.
Project Movement is a common functionality used by companies to shift or reassign tasks to other teams or groups. Now, let’s refresh the page to see if the entities are visible under the EDM J project. All ten entities are now visible under the EDM J project in Jira. In this demo, we have mapped Trinity J in Jira to Trinity A in Agility, and similarly, EDM J in Jira to EDM A in Agility. Now, as part of a seamless synchronization process, we will see all the entities in Trinity A move to EDM A in Agility.
Let’s refresh the Agility page to see if all the entities have moved from Trinity A to EDM A. We can see all the entities are reflecting under the EDM A project. Let’s open a story in Jira to see if all the details under it are also visible in the story in Agility.
All the basic details like the description, status and priority, and the advanced details like the inline image column pointers are visible in the Agility story. The story in Agility is a replica of the story in Jira. All the complex data enriched text formatting like embedded images, attachments, tables, pointers, etc, will be preserved in the synchronization.
Now, let’s look at the feature entity type change in Jira. We will change the entity type from a story to a bug. Once the synchronization is complete, the same story will then change to a defect in Agility. In Agility, if we change the backlog type, it will delete the existing backlog, and then create a new backlog. Therefore, unlike Jeera where the same story was converted to a bug, here in Agility, we will see the existing story is deleted and in new defect is created. All the details under the original story will be replicated to the defect.
Upon refreshing the page, we can see this story has converted to a defect in Agility, and all the data under it has been preserved in Jira. We will now add a comment notifying that the issue type has been changed. The same comment will synchronize automatically to Agility under the defect. Navigating to Agility, we can see the original story is deleted, replacing the new defect, and the comment added in the Jira bug is visible under the same defect.
This completes the demo. Thank you for watching.
Schedule a 30-minute live demo with our integration experts
