DEV Community: Teja Bhutada

The Native Integration Trap: Why Your Built-In ITSM Integration Breaks at Scale

Teja Bhutada — Wed, 06 May 2026 10:44:03 +0000

If you've ever set up a native integration between two ITSM tools and thought "that was easy", you're right.

It is easy. That's actually part of the problem.

Most ITSM platforms ship with built-in connectors to other tools. You're already living in Jira (or ServiceNow, or whatever your team landed on years ago), and there's a button that says "connect to another system." It works. A P1 comes in, you hit send, and it lands in the engineering team's Jira. Done.

That moment of "this just works" is exactly where the trap is set.
Where native integrations actually fail.

The moment you need anything beyond a straight handover, the seams start to show.

Things like:

Mapping statuses between systems that use different workflows
Syncing priorities differently depending on the receiving team
Keeping internal comments internal and not leaking ops notes into the engineering board
Handling edge cases in ticket routing based on business rules

These aren't exotic requirements. They're the normal stuff that comes up the moment more than one team is seriously using the integration.

Native integrations weren't built for this. They were built for the simple case, the demo, the quick win.

Why it becomes a trap specifically?

Here's what makes this worse than a typical tooling mistake: by the time you hit these limits, you're already committed. The teams are using it. It's embedded in your runbooks. People have built muscle memory around it.

So instead of stepping back and evaluating the right tool for the job, most teams end up in a different place. They start trying to invent workarounds for things the integration was never going to support. They patch and script and adjust until the whole setup is fragile and undocumented.

We've seen this pattern enough times to know it follows a consistent arc: native integration works great in a single-team, single-instance scenario.

The moment you need elaboration like real cross-team governance, conditional sync, field-level control, you're past what it can give you.

What the exit looks like
A proper integration layer: one that's built around the complexity of real enterprise workflows rather than the simplicity of the demo. This gives you control over the logic without requiring you to hack around the tool's assumptions.

Status mapping, priority translation, comment filtering, and selective field sync: these should be configuration, not workarounds.

If you're hitting these walls right now, it's worth looking at what a dedicated integration solution actually looks like in practice.

We have one at Exalate. You can try it out here or get on a call to discuss the specifics.

Have you been through this? What was the point at which the native integration stopped working for you?

How to Sync Jira Work Items and GitHub Issues Using Exalate

Teja Bhutada — Thu, 11 Sep 2025 16:45:02 +0000

A tech company recently came to us with a pretty common challenge—they wanted to make sure all the important updates from GitHub issues were automatically syncing with their Jira work, and vice versa.

Their dev team was working in GitHub, while the project managers were in Jira. But both teams kept running into problems with status updates, comments, and other key info not showing up where they needed to.

Basically, they wanted both teams to stay in the loop, no matter which platform they were using. GitHub for Jira didn’t give them the level of flexibility they wanted, which prompted the system admin to reach out to us for assistance.

Our solution was to set up an integration that would keep everything in sync between GitHub and Jira, so both sides would always have the latest info and no updates would get lost in the shuffle.

What Jira to GitHub Integration Use Cases Are Possible?

Here are some scenarios where you can connect Jira Service Management (JSM), Jira Software, and other Jira products to GitHub.

Bidirectional synchronization of work item/issue statuses: Ensure that status updates are reflected across both platforms. For instance, when a GitHub issue is closed, the corresponding Jira work item is updated automatically, and vice versa.
Enhanced visibility of development activities: Link GitHub issues to JSM tickets for real-time visibility, helping support agents understand development context and improve customer interactions.
Sync task lists and assignees: Establish a two-way mapping between Jira Software and GitHub in order to fetch information about the user or issue/work. This will help users on both platforms to keep track of in-house and open-source contributions.
Custom field synchronization between JSM and GitHub: Sync custom fields (priority levels, labels, picklists, checkboxes, etc.) between JSM and GitHub to maintain consistency in issue (ticket) categorization and reporting across both platforms.
Sharing product change updates: Developers in GitHub can sync updates to Jira, allowing project managers to receive real-time information about code changes and more. Comments from Jira are also forwarded to developers in GitHub in real time.

How Exalate Handles Jira GitHub Issues Integration

Let’s check out how you can configure syncs between GitHub and Jira using Exalate.

To use Exalate, you must first install the app from our website or from the Atlassian Marketplace.
After installation, you can now set up the connection starting from either side. For this specific demonstration, I’ll start with Jira.

On the connection screen, click Create new connection. Then, enter the name and description of the connection for clarity. Go through the authentication process, then verify the connection details.
All done. Go to Open draft editor: This option allows changes when you click “Create a new version” or select the “Open latest draft”. This ensures you don’t modify the existing configuration accidentally.
Once active, click the “Edit” button to open the editor and adjust the Groovy sync rules. This lets you add custom data logic and mapping for complex or advanced use cases or workflows.

Here, you can see two sets of rules: outgoing sync rules and incoming sync rules. This code snippet ensures that all synced issues will have the specified value (comment, description, attachment, etc.).
Auto-generate the code with Exalate’s AI-powered chat feature called Aida, which you can use to configure both the incoming and outgoing sync rules. Suppose you want to sync issue statuses from GitHub with work statuses in Jira, input the following: “Map GitHub status ‘open’ to Jira’s ‘Open,’ and ‘closed’ to ‘Done’ in the GitHub incoming configuration.”

After some time, Aida will generate the script based on your input, current configurations, and Exalate’s scripting API. Changes will be highlighted: red lines represent deletions, while green lines show new additions. You can choose to accept or reject these suggestions.
Once satisfied, you can publish your changes. Once the changes have been saved, the sync will start operating automatically. You can also set up triggers to give you granular control over the sync based on specific conditions.

Conclusion

Using Exalate to connect Jira work items (tickets) and GitHub issues makes it possible to explore endless synchronization opportunities, including custom fields and advanced mappings.

This also helps developers and QA teams (or other teams using Jira) to stay in perfect sync during collaborations in order to share updates and process feedback in real time.

Want to connect your GitHub repo with your Jira instance? Reach out to us to get started right away.

The Magic of Syncing Multiple Jira Instances With Exalate

Teja Bhutada — Thu, 05 Jun 2025 13:02:59 +0000

Any organization using more than one Jira instance understands the struggle of connecting them between interdependent teams.

The same problem pops up when connecting your organization’s Jira instance with a partner’s or MSP’s instance (Jira or other applications).

As someone with experience working with Jira, I’ll show you how to connect two Jira instances as well as Jira with other applications using an integration solution known as Exalate.

Exalate as a Reliable Jira Sync Tool

Exalate is a two-way solution that allows you to exchange data between multiple connected Jira instances.

Jira Cloud users can use Exalate to sync descriptions, summaries, comments, attachments, assignees, priority, statuses, custom fields, and more.

Exalate also supports the low-code integration of advanced work item sync cases. You can use it to help companies establish frictionless collaboration frameworks with clients and managed service providers (MSPs).

Insurance agencies and logistics companies have used Exalate to improve internal workflows as well as connect with external partners.

Exalate also comes with an AI feature called Aida, which allows you to generate scripts for complex integration use cases.

This feature speeds up the creation and configuration of syncs by enabling users to enter a detailed prompt that describes the integration scenario.

For instance, you can set rules to map every Jira work item as a story, every bug as a problem, and every request as an improvement.

You can decide to refine the results or accept the suggested code snippet. This feature speeds up scripting for advanced use cases.

Jira Work Item Integration Use Cases

With Exalate, you can:

Sync Jira custom fields (Story Points, Account Info, etc.) and Epics to ensure they exchange data seamlessly.
Sync user comments and mentions to make sure all necessary contributor and user data appear on both sides of the connection.
Make default fields and statuses appear on the remote side as comments without affecting the status on that side.
Sync the contents of work items (attachments, descriptions, custom fields, etc.) between organizations using Jira, while maintaining the autonomy of both sides.
Integrate data from dropdown lists and issue types between Jira instances in order to extend the amount of data available for exchange.
Automatically open and close Jira Service Management tickets remotely based on their status, without needing to switch to the other side.
Make tickets raised in Jira Service Management appear as bugs on the Jira used by developers and engineers.
Link multiple Jira issues to a single Zendesk ticket for seamless collaboration between developers and support staff.
Create a triangle of connection between two internal Jira instances and one external help desk application (Zendesk, Freshdesk, etc).
Orchestrate multiple workflows within the same project, team, or organization in order to improve internal collaborations.
Integrate Salesforce accounts, leads, contacts, opportunities, and product information as fields in Jira work items for management purposes.
Integrate Salesforce and Jira so that when an opportunity reaches a certain stage (eg, proposal stage), it automatically creates a task or ticket in Jira.
Establish a hierarchy between Issues and Epics, which comes in handy when creating subtasks and related issues.

How to Sync Multiple Jira Instances With Exalate

The following are the key steps to follow when setting up a Jira work item sync with Exalate.

Install Exalate from the Atlassian Marketplace or our integrations page. If you are a Jira Cloud user, you can follow the normal installation flow on Atlassian.
Establish a connection between Jira instances. For more complex syncs, use Aida to set up a connection and write sync rules.
Configure the connection. Use Exalate’s scripting engine to establish sync rules in order to control how both Jira instances will share data.
Get the best out of Exalate by using Aida to generate scripts according to user input and text-based prompts.
Set up triggers. Create automated triggers using JQL to determine how the Jira instances will handle the integration rules.
Start syncing your work. You can initiate the multiple Jira sync directly from the Exalate console or from the Exalate panel within the Jira issue.

For a detailed explanation of every step of integrating multiple Jira instances, read this comprehensive guide.

Note: The installation and connection process for other systems may vary slightly.

Challenges of Merging Multiple Jira Instances and Other Systems

Unifying multiple Jira instances presents several challenges. More issues pop up when integrating Jira with other systems.

For starters, you need to pay attention to API usage limits because they might hinder the synchronization process. This often leads to business-critical migration issues getting stuck in the queue when the volume of tickets or syncs increases.

Also, API changes could break the synchronization unexpectedly. Network problems or user mistakes could cause the sync to fail.

Another potential challenge is the suitability of the tool to your organization. The sync tool may be overly complex or costly for your company. Figuring out plugins and dependencies could be time-consuming.

As for the sync proper, incorrect entity mapping (e.g., wrong field names) can break the integration. This problem is prevalent when your internal team lacks the necessary expertise to implement and maintain the Jira sync.

The final consideration is the difference in formats between platforms. For instance, Jira supports Wiki, while Azure DevOps uses HTML. So, the data flowing between the two platforms should be converted into a readable format.

Why Consolidate Multiple Jira Instances?

Here are the financial and administrative benefits of integrating multiple Jira instances and other systems with Exalate.

Integrating multiple Jira instances enables project managers to consolidate all relevant data under one umbrella. Team leads can also track progress updates across teams.
It reduces expenses by ensuring you spend only on the needed instances. You’ll also end up paying for fewer seats and licenses.
Admins can establish role-based access controls (RBAC) to determine who can view, edit, or copy the data from each Jira site.
Companies involved in mergers and acquisitions must integrate multiple Jira instances as well as help desks and CRMs to consolidate data and plug all communication gaps.
Consolidating Jira instances and work management platforms makes it easy for your organization to analyze data and generate detailed, accurate, and actionable reports.
Organizations in manufacturing and other industries can sync their Jira instances internally between teams as well as externally with vendors, MSPs, and clients.
Syncing Jira work items with Salesforce, Zendesk, or ServiceNow entities through endpoints removes bottlenecks from cross-team and cross-company collaborations.
Integrating Jira issues with help desk and CRM applications helps end users get their problems addressed faster because all involved teams are in lockstep.
Whether unidirectional or bidirectional, integrating Jira issues can protect sensitive data with TLS, HTTPS, and other integration security protocols.

Want to find out how Exalate integrates multiple Jira instances and other applications? Book a call with us to discuss your use case.

How to Maintain Issue Hierarchy Between Jira and Azure DevOps

Teja Bhutada — Tue, 06 Aug 2024 09:36:03 +0000

You can integrate custom data between Jira and Azure DevOps with the help of secure third-party tools. Such custom integrations are necessary to maintain the hierarchy of data when moving between both systems.

For better clarity, we’ll explore a sample use case using an integration solution called Exalate.

Let’s go through the requirements and challenges.

Primary Requirements

When a user creates a Task, Epic, or Feature on the Azure DevOps side, it should be mapped to a Story, Task, or Bug on the Jira on-premise side. You also need to create a 3-level hierarchy between all work items.

In addition, you need to establish sync rules for the incoming and outgoing data on both sides.

Potential Challenges

Inaccurate mapping of fields
Network failure
Triggers with errors
Poorly written rules

Why Use Exalate?

Exalate is an integration solution that enables bidirectional synchronization with work and service management platforms such as Zendesk, Azure DevOps, ServiceNow, Jira, Salesforce, etc.

It allows you to sync standard and custom fields between Jira and Azure DevOps.
You will be able to transfer issues between systems while maintaining their hierarchy.
You can configure your use cases with the help of the Groovy scripting engine.
The troubleshooting console allows you to debug connection errors independently.
Admins can dictate how the sync works with the help of granular controls and sync rules.
It allows you to set platform-native custom triggers for automatic syncs based on events.

How to Implement Exalate for Data Updates Between Jira and Azure DevOps

Before using Exalate, you need to install it on both the Jira and Azure DevOps sides. Follow the instructions in this comprehensive guide to set up the connection.

When setting up a connection, you need to configure the incoming and outgoing syncs:

Outgoing sync (on the Azure DevOps side) refers to the data to be sent over to the Jira side.
Incoming sync (on the Jira side) refers to the data to be received on the Azure DevOps side.

On the Azure DevOps side, enter the following code snippet into the “Outgoing sync” text area.

replica.parentId = workItem.parentId

Note: The workItem.parentId function refers to the unique ID of any work item created on the Azure DevOps side. The replica.parentId function contains the information you want to pass between the two instances.

def res = httpClient.get("/_apis/wit/workitems/${workItem.key}?\$expand=relations&api-version=6.0",false)
if (res.relations != null){
    replica."relation" = res.relations[0].attributes.name
    replica."relationid" = (res.relations[0].url).tokenize('/')[7]
    }

The code snippet above uses httpClient to call the API for the work item using the GET method. It picks up information about the relationships for work item attributes such as name and description.

Once done, click “Publish” to save the changes.

On the Jira side, go to the “Incoming Sync” tab. Replace the placeholder code with default functions for handling the syncs.

Let’s go through some important code snippets.

def issueMap = [
        "Epic" :"Story",
        "Feature" :"Task",
        "Task" :"Bug"
        ]
    issue.typeName  = issueMap[replica.type?.name]

The issueMap fragment specifies how work items should be mapped to Jira elements (Epic-Story, Feature-Task, Task-Bug).

def linkTypeMap = [
        "Parent" : "Relates",
        "Duplicate" : "Duplicate"
        ]

This linkTypeMap object specifies how the relationships between work items and issues should be mapped between Azure DevOps and Jira (Parent-Relates, Duplicate-Duplicate).

You can get the entire code snippets here.

Once done, click “Publish” to save the changes.

Congratulations! Your connection is set. You can now set triggers to help you automatically update and sync Jira issues with Azure DevOps. Subsequently, you can tweak the code for specific projects.

With your connection in place, go to your Azure DevOps dashboard and create a new work item.

Click on “New Work Item” on your selected board. Select “Epic” from the dropdown menu.

Change the name and click on “Save” to effect the changes. Afterward, you can scroll down to the bottom of the Epic to see that the connection has started syncing automatically.

When this is complete, you can click on the link to view the ticket on the Jira side.

Follow the same steps to create a Task and a Feature.

With the Feature tab open, add a name and description. Then, go to the “Related Work” section on the right and click on “Add link” then select “Existing Item”.

You will see a pop-up modal. Select “Parent” as the link type and make the Epic you created earlier the parent. Click on “OK” to complete the process and save the changes.

Next, create a Task and make the Feature its parent. Afterward, you can view them on Jira to see the established hierarchy.

Conclusion

Exalate enables you to update custom Azure DevOps work items with Jira issues. It also allows you to set custom rules and triggers to meet the requirements of any specific use case.

If you still have questions or want to see how Exalate is tailored to your specific use case, book a demo with one of our experts.

How To Sync Epics Between Two Jira Instances

Teja Bhutada — Wed, 03 Jul 2024 11:13:34 +0000

Companies looking to sync Jira Epics internally or externally must use native or third-party applications.

One third-party option is Exalate, a bidirectional integration solution that syncs data between two Jira instances using simple scripts and custom triggers. It also works with Zendesk, Azure DevOps, ServiceNow, Salesforce, GitHub, etc.

In this article, you’ll learn how to sync Epics between two Jira instances using Exalate.

Use Cases For Two-way Jira Epic Sync

Some scenarios for syncing Jira Epics include:

Internal teams looking to consolidate data between their Jira sites,
Companies collaborating with MSPs, suppliers, vendors, or other companies,
Organizations going through a merger and acquisition,
Solopreneur connecting with an outsourcing partner.

Potential challenges

Unprecedented network timeouts
Poor data transformation
Retries after failure
Badly configured triggers
Scripting errors
Debugging

How Can Exalate Solve This Problem?

Exalate is the perfect solution for connecting two Jira Epics for the following reasons:

It allows you to sync Jira epics and issues in a few clicks.
Exalate’s Groovy scripting engine allows you to write custom rules for advanced use cases.
Exalate protects your data when sharing sensitive information.

Primary Requirements

When a user creates an Epic on one Jira Cloud instance, it should appear on the other instance without having to copy it manually. The changes should go both ways.

To get this working, the system admin needs to write sync rules to control the outgoing and incoming data. Next, Jira Query Language (JQL) triggers will be set up to automate the sync.

How to Sync Jira Epics With Exalate

Step 1: Establish a Connection

Click “Add Connection”, then click “Create new connection” to start.

Enter the name and description of the connection. Click “Next” to process. Go through the authentication process and verify the connection details.

Step 2: Edit the Connection

Go to the “Outgoing sync” text field. Add the function Epic.send() to the console. This line of code sends out your Jira Epic and its contents to the other side.

Click “Publish” to save and implement the changes.

Repeat the same procedure by opening the “Incoming sync” text field and entering the function Epic.receive().

The .receive() method tells the console to allow the remote instance to receive data from the sending instance. Click “Publish” to save the changes.

Once the connection is ready, head back to your Jira dashboard to create a new Epic — add a name and description.

Step 3: Create Triggers to Automate the Sync

If you don’t want to manually Exalate the issue, add triggers to sync the issue automatically. So, anytime you create an epic on one side, it instantly replicates itself on the other side.

To create a trigger, click “Add Trigger” to start configuring your issue or sprint.

You can write as many conditions as necessary. Once done, click “Save trigger” to complete the process.

Congratulations! You’ve now set rules and triggers to help you sync epics between two Jira instances.

If you still have questions or want to see how Exalate is tailored to your specific use case, book a demo with one of our experts.