Teams involved in a sprint need to be able to exchange information in real time. This will keep all stakeholders and team members in perfect sync.
Let’s say the connection is between a team of developers handling work items in Azure DevOps and the IT team using Jira Cloud for service management.
To make all updates on one system reflect on the other one, both need to be connected.
In the absence of native integration solutions, tools like Exalate can bridge the gap between both platforms.
Let me show you how teams can sync sprints between Jira and Azure DevOps.
The first thing to bear in mind when syncing Azure DevOps and Jira is security. Considering that both sensitive data will be flowing between the systems, there should be measures to keep the information safe at rest and in transit.
Protocols like tokenization, pseudonymization, and firewalls will keep data secure from unauthorized users. Other features like authentication, endpoint detection, and role-based access controls can bolster your security.
With security nailed down, pay attention to the flexibility of the integration solution. As the number of tickets increases, the integration should be able to handle the network demands.
Due to the dynamic nature of sprints, the tool connecting Jira Cloud and Azure DevOps should also have the scalability to handle an increase in ticket volumes.
Another thing to check for is customization. The more sync options and custom connectors available, the broader the application of use cases.
Assuming you want to sync a Jira sprint with Azure DevOps. Let’s break down what this entails from a technical standpoint.
Exalate also supports AI-powered Groovy scripting for setting up syncs between Jira and Azure DevOps. You can use it to set up a two-way integration as well as event triggers for real-time sync and bulk operations.
First, install it on both Jira and Azure DevOps. Follow this step-by-step Getting Started guide to connect both of them.
This use case can only work with the Exalate Script Mode, which allows you to configure the sync however you want.
Open Exalate in your Azure DevOps dashboard, go to the connection you want to edit, and click on the “Edit connection” icon.
You have two options:
Here is the code to control what fields and entities go out from Azure DevOps as part of the sprint [Azure DevOps Outgoing sync]:
def res = httpClient.get("/<<project_name>>/<<team_name_in_ADO>>/_apis/work/teamsettings/iterations",true) |
The code snippet uses httpClient to fetch the iteration path and uses the flag to assign the name of the sprint (sprint_name), the start date (sprint_start), and the end date (sprint_end).
Let’s check out the code to control what’s coming into the Jira Cloud project in the sprint [Jira Cloud Incoming Sync].
def list = httpClient.get("/rest/agile/1.0/board/3/sprint") |
Similar to the Azure DevOps incoming sync snippet, this code fragment fetches the sprint startDate and endDate as customKeys. The httpClient uses POST and GET methods to point to the path or the board containing the sprint name.
Congratulations! You have successfully synced your Jira sprint with Azure DevOps.
Azure DevOps users can use the Work Item Query Language to configure triggers in Exalate.
[Work Item Type] = 'Task' AND System.TeamProject = 'SprintMarch' |
This triggers the synchronization of any work item (task) in the project named “SprintMarch”.
On Jira Cloud, triggers are available via Jira Query Language.
project = SprintMarch AND labels = sprint |
This trigger starts the synchronization if any issue in the project “SprintMarch” has been updated with the label “sprint”.
Here are some actual business use cases for Jira to Azure DevOps sync sprint.
If you still have questions or want to see how Exalate is tailored to your specific use case, discuss it with one of our experts right away.