With a Jira Azure DevOps integration, teams can stay aligned on important information and use these tools to their fullest capacity. This includes keeping deployment or testing cycles in Azure DevOps aligned with dev workflows in Jira.
To bring out the best in both these tools, I have come across companies implementing some pretty advanced integrations.
But at the basic level, they all follow some simple steps first to connect Microsoft Azure DevOps with Atlassian Jira. After that, they can configure the sync any way they want.
Let's look into the steps to integrate Jira with Azure DevOps Cloud using Exalate.
There are a few template-based no-code apps on the Atlassian marketplace that help you integrate Azure DevOps and Jira. But they lack the advanced integration capabilities that tools like Exalate have. To bring this to light, I'll share some advanced Jira Azure DevOps integration use cases we've helped customers with.
Teams often use Jira for project management and Azure DevOps for their DevOps, software development, or testing. Without a reliable connection, teams rely on manual updates, leading to delays, miscommunication, and status mismatches.
A well-configured Jira Azure DevOps integration helps you:
Common use cases include bug escalation, sprint synchronization, QA handoffs, cross-company vendor collaboration, and MSP client management.
Go to exalate.app and log in to your Exalate account. If you're new, you can create an account using your email or Google sign-in.
Once logged in, create a workspace to organize your integrations. Click the "+ Create Workspace" button, enter a name and description, and confirm.
From your workspace, click "+ Add Connections" > "Create new connection".
Enter the name for your first system (System A). You can designate either Jira or Azure DevOps as System A. Enter your system's URL and authenticate. Jira uses OAuth, and Azure DevOps uses API tokens.
Complete the same setup for the second system (System B). Give your connection a name and description, review the details, and click "Create connection".
Once the connection is created, select "Continue to configuration" and choose the Jira project you want to use for synchronization.
After creating your connection, you have two configuration paths: "Quick Sync" and "Edit & Test".
Quick Sync lets you publish the starter configuration and sync one work item between Jira and Azure DevOps to verify that your connection works properly.
Edit & Test opens the draft editor, where you can customize your sync rules. Click "Create a new version" to start editing without affecting your live configuration. Changes in the draft are saved automatically.
Sync rules are based on Groovy scripts. These scripts let you add custom data logic, field mapping, and conditional flows for any complex workflow.
The scripts are divided into incoming and outgoing scripts:
For instance, to send a custom field from Jira to Azure DevOps, add it to the outgoing Jira sync:
replica.customFields."CF name" = issue.customFields."CF name"
On the Azure DevOps side, you get to decide the field that'll display the Jira custom value.
AI-Assisted Configuration with Aida
Instead of manually writing scripts, you can use Aida to generate them faster. Aida is available in both incoming and outgoing script sections.
Based on Exalate's scripting API and your existing scripts, Aida generates working Groovy scripts with proper field mappings. Review the suggested changes (green highlights for additions, red for removals), then choose to "Insert" or "Discard" them.
Test Run: Validate Before Production
Once your scripts are ready, use the "Start Test Run" option to validate your configuration against real data without affecting production. Select the work items you want to test, run the test, and review how the sync will be applied. Deploy only when you're confident everything works correctly.
Once satisfied, click "Publish Version" to apply the updated configuration to your live synchronization.
To filter out which work items get transferred between Jira and Azure DevOps, set conditions as triggers. These triggers automate your sync process.
These triggers are platform-specific:
Some common Jira triggers in JQL:
Some common Azure DevOps triggers in WIQL:
That's it! Your data will sync automatically based on the rules and triggers you have set.
Troubleshooting with Aida
If you run into sync errors, go to the "Troubleshooting" tab of your workspace. Hover over the error and click on the Aida icon. Aida provides a short explanation of the error and a proposed solution, including context-aware suggestions to resolve the problem quickly.
As promised, here are some unique ways our customers have implemented their Jira Azure DevOps synchronization. The following use cases really make implementing such an integration worth the effort.
Exalate supports integrations across Jira, Jira Service Management, ServiceNow, Azure DevOps Cloud, Azure DevOps Server, Salesforce, Zendesk, Freshservice, Freshdesk, Asana, GitHub, and custom connectors.
If you want to learn more about what you can sync between Jira and Azure DevOps, don't hesitate to get in touch with our team to discuss your use case.
francis
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