Unlock maximum visibility between cross-functional teams with zero data leakage guaranteed
Maintains a single source of truth across Azure DevOps & Jira to streamline your application lifecycle management
It answers questions like “What is going on?” and eliminates the need to run one team to another for updates
Lets you quickly & confidently make crucial decisions in your ALM journey based on reliable data
First choose your Integration approach based on sync fidelity, scalability & cost-effectiveness
| Scalable Integration | Data Fidelity | Low Maintenance Cost | |
|---|---|---|---|
|
Script-Based (build your own sync tool) |
Heavily relies on custom scripts which is time-consuming & error-prone to manage at scale |
Heavy scripting is needed to minimize information gaps for each information type i.e. comments, embedded content, data movement, attachments etc. |
High implementation & maintenance cost. Needs dedicated tech resource for script maintenance |
|
Workflow Automation (similar to script-based, but |
Relies on drag & drop pre-made triggers and connectors. Needs scripting for custom integration |
Requires sync admin to script for conflict and system recovery management |
High maintenance cost as sync admin is essentially scripting integration in each workflow. |
|
Plugin-Based (Sync add-on installed in end points) |
Slows down the system by adding to processing required and consuming same resources as server |
Potential for information gaps in complex integration since plugins generally do not handle complex data |
High to medium maintenance cost because of frequent admin interference due to missed events |
|
OpsHub Integration Manager (Central sync hub with out-of-box sync capabilities) |
Incremental data fetching to avoid system overload. GUI-based sync configurations |
Out-of-box no-code features to ensure predictable sync taking care of conflicts and system down scenarios |
Low maintenance due to self-led & reliable sync capabilities |
Configure ADO and Jira systems
Select project(s) to be integrated
Select entity(es) to be integrated
Select sync direction and sync filter
Click and map fields to be integrated
Creating a bridge between Azure DevOps & Jira allows teams to synchronize data and workflows between the two platforms. Let’s have a look at how OIM creates this bridge:
The development team uses Jira, and the Project Management team uses Azure DevOps. Both teams collaborate manually to exchange data and insights. This leads to recurring miscommunication issues.
When Jira and Azure DevOps are bi-directionally integrated using OpsHub Integration Manager, there are no communication gaps or miscommunication between Project Management and Development teams.
Success stories of those who tried, experienced, and scaled growth with OpsHub
ABB is Swedish-Swiss multinational corporation and market leader in electrification and automation. To accelerate the pace of innovation, ABB’s R&D team was looking for a solution that enabled fast adoption of new tools.
Agile teams using different ALM systems: Quality Team: Using SmartBear ALMComplete for Test Cases, Defect Tracking, and Requirements. Development Team: Using Jira for User Stories and Defect logging.
Out of the four integration approaches available in the market, here’s a quick view of why central sync hub is a superior approach:
Yes, many integration solutions offer bidirectional synchronization, allowing updates made in either Azure DevOps or Jira to be reflected in the other system automatically.