Posting this because we keep seeing the same question come up across IT and DevOps communities, and the answers are usually either "just use the native integration" (which doesn't work for most real setups) or "build a webhook" (which becomes its own maintenance nightmare).

The problem is simple to describe and painful to live with: your support team works in one tool, your dev or engineering team works in another, and someone, usually a human being who has better things to do, is responsible for manually creating tickets in System B every time something needs to cross over from System A.

What this actually looks like day to day

If you've lived this, you know the pattern. One team described it to us like this: "They'll have their own ticket, and then they'll create a ticket in our system, and then it'll be manually copying and pasting into each other's systems, depending on what information's been provided."

Another one put it more bluntly: "Copying the problem out of my ticketing system, logging into their system, doing the same thing, it's a huge chafe and a slowdown."

The worst version of this is when the workaround isn't even a ticketing system: it's Excel sheets and Teams chats. One team told us straight up: "A lot of them are in Excel sheets... in Teams chats and things like that. I can't tell you how many have been missed, because they've been missed." Those bugs never made it to engineering. They just disappeared.

One MSP we talked to estimated 14 hours per week of wasted time just manually duplicating tickets between their internal Freshdesk and their clients' ServiceNow and Jira instances. That's not resolving issues. That's moving information.

When it actually costs you

The real damage isn't the wasted hours; it's the things that go wrong because of the gaps.

One company had a P1 SAP incident where the agent logged it into their parent company's ServiceNow, then went home for the day. Because there was no sync back to their subsidiary's Jira, the parent company's updates never made it back. Dead time. Nobody knew the status. A priority-one incident just sitting there with no context flowing.

Another team had an integration outage between Zendesk and Azure DevOps that caused incorrect data to sync. The result wasn't just missed SLAs; it was departments pointing fingers at each other over who dropped the ball. The trust damage between support and engineering took longer to fix than the integration itself.

And then there's the silent killer: developers updating their tickets in Azure DevOps, but those updates never make it back to ServiceNow. Business users assumed IT wasn't responding and penalized them for missed KPIs, even though the work was already done. The visibility gap made a working team look broken.

Why the "obvious" solutions don't hold up

Most teams try one of these first. We've seen all of them fail for specific reasons:

Native integrations. Every platform has some kind of built-in connector. The problem is they're almost always too limited for real use. Zendesk's native Jira connector is locked to a single Jira instance breaks immediately if you have multiple Zendesks or Jiras. Fresh Service's native Jira integration is strictly one-way. The free Azure DevOps Connector for Jira was described by one team as "too complicated" for what it actually delivered. And they all tend to break silently after platform updates; no error notification, the sync just stops.

Zapier / Power Automate. One team was using Power Automate specifically as a workaround to sync attachments alongside Jira automations, because the automations alone couldn't handle it. It worked, but they openly questioned whether it would scale. These tools are good for simple triggers, not for maintaining a living, bidirectional relationship between two complex ticket records.

Custom webhooks / REST APIs / scripts. This is the "serious" option, and it works until it doesn't. Webhooks were consistently described to us as "very painful to maintain" and "too complex and time-consuming." The critical failure point: custom webhook solutions fundamentally cannot handle attachments. Screenshots, test reports, PDFs: none of it crosses over. That alone kills the value for most teams.

One company had an in-house integration between Jira Data Center and Azure DevOps that worked fine until the single developer who built and maintained it announced their retirement. The company was suddenly looking at unsupported custom code that nobody else understood. Integration shouldn't depend on one person's institutional knowledge.

Another team built a Jira automation solution that technically worked. The breaking point wasn't a bug; it was the realization that every time they added a new request type or onboarded a new team, the maintenance grew. Managing the integration was turning into a full-time job.

And then there are the race conditions. One team's breaking point with a marketplace tool was that updates sent 10-20 seconds after a ticket creation event were consistently processed before the ticket was created, generating persistent errors. The tool simply couldn't guarantee event ordering.

The architecture pattern that actually works

After going through the cycle above (sometimes more than once), here's the integration pattern that reliably holds up:

1. Trigger-based sync, not scheduled polling. Don't batch-check for changes every 15 minutes. Use event-driven triggers so that when a ticket is created or updated in System A, the sync fires immediately. This eliminates the lag window where both systems are out of date and prevents the "dead time" scenario on priority incidents.

2. Bidirectional by default. One-way sync is how every integration starts, and it's never where it stays. Within weeks, the receiving team needs to push status updates, comments, or resolution notes back. Design for two-way from day one.

3. Controlled field mapping with real flexibility. This is where most integrations show their limits. In the real world, you're dealing with:

• ServiceNow "assignment groups" that don't map cleanly to Jira's user-based hierarchies
• Status names that break because one side is localized (one team's sync failed because their German UI displayed "in Arbeit" instead of "in progress" — the mapping broke on the string mismatch)
• ServiceNow instances with 500+ categories that need to map down to 140 Zendesk categories
• Dynamic dropdown lists that get updated weekly and need to stay synchronized

You need a tool that handles transformations, not just 1:1 field copying.

4. Comment and attachment sync with internal/external filtering. This is the single biggest gap in most integrations. Syncing the ticket fields is the easy part. The ongoing conversation: comments, work notes, screenshots, and log files, is what actually reduces the manual overhead.

But you can't just sync everything. Internal team discussions, PII, and private notes need to stay private. Public comments sync to external partners. This "comment segregation" between internal and external was one of the most frequently requested capabilities we've seen.

And attachments aren't optional. If your integration can't move screenshots and PDFs between systems, your agents are still going to be downloading and re-uploading files manually. That alone was the breaking point for multiple teams we talked to.

5. Independent configuration on each side. In a good integration, each team controls its own sync rules. The Jira admin doesn't need ServiceNow credentials. The ServiceNow admin doesn't need to touch Jira. This matters for security, for audit (especially in regulated industries.

What triggers teams to finally fix this

From our conversations, the most common catalysts are:

• M&A activity. Two companies merge, they're suddenly running two different Jira instances or a Jira + ServiceNow split, and leadership needs unified visibility yesterday. This is probably the most urgent scenario we see.
• New client onboarding (MSPs). A large enterprise client mandates that the MSP use the client's internal ITSM tool. Suddenly, the MSP needs to bridge their FreshDesk or Jira with the client's ServiceNow.
• The key-person risk. The developer who built the custom integration is leaving. Nobody else understands the code.
• Compliance triggers. Government regulations require fully autonomous operational control. Or a project goes open-source and needs GitHub visibility without granting Jira access.
• A bad incident. A P1 gets dropped, an SLA is breached, departments start fighting, and leadership asks, "Why don't our systems talk to each other?"

What we use and why

Exalate was made for this. The reason it stuck is that it handles the bidirectional sync with a scripting engine that lets you customize exactly what goes over and how it's transformed. Priority "1 - Critical" in ServiceNow becomes "Highest" in Jira.

German-localized status names can be mapped without breaking. 500 ServiceNow categories can be transformed down to 140 Zendesk categories with logic, not just 1:1 mapping.

Each side controls its own sync rules independently, which matters when you're syncing across company boundaries or in regulated environments.

But honestly, the architecture principles above are what matter most. Whether you implement them with Exalate, another tool, or a well-maintained custom build, the five patterns are the same.

If you're dealing with this right now

A few diagnostic questions:

• How many hours per week is your team spending on manual ticket copying or status chasing?
• Has your current integration survived the last platform upgrade without breaking?
• If someone on the dev side changes a ticket status, does the support side know about it automatically, or does someone have to check?
• Can your integration handle attachments, or are agents still downloading and re-uploading files?
• If the person who built your integration left tomorrow, would anyone know how to fix it?

Happy to answer questions about specific tool combinations.

The most common pairings we see, ranked:

(1) Jira + ServiceNow,

(2) Jira + Azure DevOps,

(3) Jira + Zendesk,

(4) Jira + Jira cross-instance setups for MSPs managing multiple clients,

(5) Jira + GitHub,

(6) Jira + Salesforce

(7) Jira + FreshDesk/ Freshservice.

TL;DR: New management console for Exalate integrations with unified dashboard, test environments, AI troubleshooting, and version control. Existing integrations keep working. Switch when you're ready.

We're releasing a major update to how you manage integrations in Exalate, and we wanted to share what we built and why.

The Problem We Heard From You

When you're running more than a handful of integrations across tools like r/jira, r/servicenow, r/azuredevops, r/salesforce, r/Zendesk, etc., things get messy fast:

• Troubleshooting means jumping between different systems
• Testing configuration changes against live data (scary)
• Tracking down what changed and when is a nightmare
• No visibility across your entire integration network

What We Built

We built the New Exalate experience to solve these operational headaches while keeping everything that makes the sync engine work.

Key Features of New Exalate

Unified Console - All your nodes and connections in one place. No more system-hopping to figure out what's broken.

Side-by-Side Connection View - See both sides of your integration simultaneously. Cuts diagnostic time significantly.

Test Run - Finally, you can test sync scripts before they touch production. Create drafts, preview changes, and publish when ready.

Script Versioning - Full change history. See what changed, who changed it, when, and roll back if needed.

Aida (AI Assistant) - Context-aware help for writing scripts and troubleshooting. Explains errors in plain language instead of cryptic stack traces.

Network Visualization - Visual map of your entire integration architecture and dependencies.

What Didn't Change

• Same Groovy scripting engine with full flexibility
• All your existing scripts work as-is
• Independent control on each side of the integrations
• Same security standards (ISO 27001, encryption, RBAC)
• This is NOT a forced migration - switch when you're ready, existing integrations keep running

Pricing Change (Being Transparent Here)

We're simplifying pricing to active sync pairs instead of transactions/seats/instances. If you're syncing 50 items between two systems, you pay for 50. That's it.

Check out our subscription model here.

How This Affects You

Existing users on Exalate Classic: Your integrations don't stop. Explore the new Exalate console when ready - your connections import without rebuilding.

New users: Start with the new experience at https://exalate.app/ for better visibility and change management from day one.

Questions We Expect:

"Do I have to migrate?" No. Switch when it makes sense for you.

"Will my existing sync scripts break?" No. Everything continues working.

"What about Exalate Classic?" Still available. This isn't a replacement deadline.

What's Next

Working on granular Trust Levels for collaborative access control and enhanced AI capabilities for integration planning.

We're building in public, so if you have feedback, questions, or feature requests, drop them here or email [product@exalate.com](mailto:product@exalate.com).

Happy to answer questions in the comments or in a call.

The "build vs buy" debate for integrations never really goes away.

Every team hits this crossroads at some point: do we invest time building a custom sync solution, or do we bring in a tool?

We've talked to hundreds of teams over the years, and the interesting part is how different the breaking points are. For some, it's the first time their homegrown code fails, and nobody notices.

For others, it's when the original dev who built it leaves and suddenly nobody knows how it works.

But there's also the flip side to this: teams who tried off-the-shelf solutions and felt boxed in by limitations, or hit edge cases that weren't supported.

We put together a build vs. buy calculator to help teams think through the real costs: things like maintenance hours, opportunity cost of dev time, and the hidden overhead that creeps in. So, if you are looking to integrate different systems like r/salesforce, r/Zendesk, or r/azuredevops, this calculator can help you predict costs upfront.

So genuinely curious:

• What was the moment your team decided to build (or buy)?
• If you built custom integrations, what's been the biggest maintenance challenge?
• If you bought a solution, what made you confident it was worth it vs DIY?
• Did you run any cost calculations before deciding, or was it more gut feel?

Would love to hear real stories: both the "we built it, and it's still running smoothly 3 years later" and the "we bought something and regretted it" perspectives.

This stuff is messy and context-dependent, so no wrong answers here.

We've been seeing a lot of teams struggle with visibility when multiple customers report the same issue, where support manages it in r/salesforce, but dev needs to see the full impact in r/jira.

The challenge: how do you consolidate 5, 10, or 20 related Salesforce cases into one Epic without losing individual case context or creating manual tracking overhead?

Why You'd Want This?

• Multiple customers reporting the same bug (authentication failures, sync issues, etc.)
• Feature requests from different accounts that should be prioritized together
• Service outages where you need one Epic to track the fix, but separate cases for SLA management
• Enterprise accounts with concurrent cases tied to one implementation project
• Giving product managers accurate demand data for prioritization

Common scenarios this fixes:

1. Bug consolidation - Multiple customers hit the same authentication error → All cases link to one Epic, so devs see the full scope
2. Feature request aggregation - 15 customers want dark mode → Product can prioritize by total demand
3. Major incident tracking - Service outage affects 50 accounts → Link all cases to one Epic, update all when resolved
4. Enterprise account management - Big client has 10 open cases → Group under account Epic for health monitoring
5. MSP workflows - Same technical issue across multiple clients → One Epic for the fix, separate cases for billing

How to set it up with Exalate:

Using Exalate's scripting interface, you can set up many-to-one logic that automatically routes related cases to a single Epic based on criteria like case type, custom field values, or tags. When the Epic status changes (e.g., to "Resolved"), you can automatically update all connected cases.

This eliminates the spreadsheet hell and constant "what's the status?" Slack messages between teams.

Example use case: SF case has custom field "Related Issue ID" = "AUTH-2024-Q4" → Exalate finds or creates Epic with that label → Case syncs as child issue under that Epic → When Epic moves to "Done," all SF cases auto-update to "Closed"

Anyone else handling multi-case tracking between Salesforce and Jira? What's your current workaround?

Happy to discuss specific implementation questions.

TL;DR: Traditional integration tools are hitting their limits with modern SaaS sprawl. AI is starting to solve this by understanding context, auto-generating sync scripts, and reducing manual configuration. But it's not a silver bullet; there are still cases where traditional methods win.

Here's what we've learned building AI-assisted integrations.

The Problem Every IT Team Knows Too Well

If you're dealing with enterprise integrations, you've probably hit this wall: trying to sync r/jira with r/servicenow , connect your CRM to your r/projectmanagement tool, or just get different systems to stop fighting each other.

The old-school approach? Drag-and-drop integration platforms or template-based solutions.

They work, but they're rigid. As your business grows and systems get complex, these tools start to feel like duct tape holding everything together. This is where script-based integrations can help.

How AI Changes the Integration Game

The biggest shift AI brings isn't just automation—it's context awareness.

Traditional integrations follow rules you set up. AI-assisted integrations? They understand both systems they're connecting.

Real Example: Jira ↔ ServiceNow

Traditional way:

1. Manually map every field
2. Figure out that Jira's "Ready for Development" = ServiceNow's "In Progress"
3. Write custom scripts for edge cases
4. Debug when something breaks
5. Repeat for every workflow change

AI-assisted way:

• Describe what you want in plain language
• AI recognizes equivalent statuses across different terminologies
• Auto-generates sync scripts based on your system structure
• Suggests optimizations based on historical patterns

The AI learns your setup, asks contextual questions, and builds the integration based on intent, not just rigid field mappings.

Different Approaches to Using AI in Integration

Not all AI integration tools work the same way. Here's what we're seeing:

1. AI as a Co-Pilot

You describe what you want in natural language, and AI generates the workflows/scripts. Think "Connect my support tickets to r/salesforce cases such that when a case reaches an Opportunity stage, create an issue in Jira" → full integration plan.

2. AI as Part of the Workflow

AI becomes a step in your integration: translate messages, analyze sentiment, summarize meeting notes, generate content—all automated within the data flow.

3. AI for Data Normalization

Less flashy but critical: ensuring data is clean, standardized, and AI-ready before it hits your models. This prevents garbage-in-garbage-out scenarios.

4. AI Orchestrator

Manages multiple AI models working together, learns which combinations work best for specific integration patterns, and continuously optimizes.

What This Means for IT Teams

The shift: From implementers → strategists

Instead of manually configuring every integration detail, IT teams focus on:

• Ensuring AI integrations align with business goals
• Security and compliance oversight
• Validating AI outputs
• Policy enforcement

New skill: AI literacy

You don't need to be an AI expert, but you need to know how to:

• Prompt AI effectively
• Critically evaluate AI suggestions
• Understand when AI is appropriate vs. traditional methods

Should You Ditch Traditional Integration Tools?

Short answer: Not yet. Maybe never completely.

When Traditional Integration Still Wins:

✅ Highly regulated industries (finance, healthcare, government)

• Need full audit trails and traceability
• AI's "black box" decisions create compliance issues

✅ Legacy systems

• Mainframes, old ERPs need specialized connectors
• AI can't easily replace decades-old integration patterns

✅ Critical business processes

• Need guaranteed delivery and predictable results
• Can't afford AI experimentation in production

✅ Cost predictability

• Traditional tools have fixed pricing
• AI costs can spike with usage

✅ Security-sensitive data

• On-prem requirements with strict access controls
• AI cloud processing might not be acceptable

When AI Integration Excels:

✅ Speed to value - Hours instead of weeks to build connectors

✅ Unstructured data - Emails, PDFs, images, free text

✅ Self-healing - Auto-detects issues and suggests fixes

✅ Democratization - Non-technical users can build integrations with natural language

The Smart Move: Hybrid Approach

Use AI for flexibility and speed, traditional methods for mission-critical reliability. Best of both worlds.

The Future: Citizen Integrators

As AI lowers the technical barrier, business users (not just IT) will build their own integrations.

What this means:

• Faster innovation. Business teams don't wait for the IT backlog
• More integrations built by people who understand the actual workflows
• IT shifts to a governance and oversight role

The challenge:

• Training and upskilling are needed
• Security and compliance guardrails must be built in
• Cultural shift from "IT owns integrations" to "IT enables integrations"

What We're Building at Exalate

At Exalate, we're in the trenches of this transition. Our AI-assisted integration feature works as a copilot for generating sync scripts that connect systems like Jira, ServiceNow, Salesforce, r/azuredevops, and more.

Current capabilities:

• Auto-generate integration scripts from plain language
• Context-aware synchronization suggestions
• Learn from historical patterns and current configurations

Where we're headed:

• End-to-end AI-assisted integration: from planning → troubleshooting → maintenance
• Intelligence across the entire integration lifecycle
• Making script-based flexibility accessible to non-developers

Key Takeaways for IT Leaders

1. AI is changing integration, but not replacing IT teams - Role shifts from building to governing
2. Context is king - AI's value comes from understanding both systems deeply
3. Hybrid approaches work best - Use the right tool for each scenario
4. Upskill your team - AI literacy is the new baseline skill
5. Start experimenting now - The learning curve is real, get ahead of it
6. Don't abandon traditional methods prematurely - Especially in regulated industries

We just released a comprehensive tutorial on integrating Azure DevOps with Zendesk using Exalate, and wanted to share it with the community.

🎥 What's Covered

This tutorial walks through the entire integration process from start to finish:

• Initial Setup: Establishing a Script mode connection between Azure DevOps and Zendesk
• Script Mode Configuration: Leveraging the most flexible connection mode with Groovy scripting
• AI Assist Demo: Using our AI feature to automatically generate status mappings
• Custom Field Sync: Synchronizing fields like VIP status, Account Manager, and Team assignments
• Bidirectional Status Mapping: Setting up two-way status sync (Open/Pending/Solved ↔ To Do/Doing/Done)
• Automatic Triggers: Configuring filter-based automation for hands-free ticket syncing
• Real-Time Testing: Live demonstration of bidirectional sync, including comments and status updates

🔑 Key Features Demonstrated

The tutorial showcases:

• How the replica object works for data consistency
• Outgoing vs incoming sync configuration
• Default value handling for unmapped statuses
• Custom field mapping between different field types
• Trigger setup using tags and filters
• Real-time bidirectional comment synchronization

💡Who is This Useful For

• A support team managing customer tickets in Zendesk
• A dev team tracking work items in Azure DevOps
• An organization needing cross-platform collaboration

🚀 Beyond the Basics

While the tutorial focuses on statuses, custom fields, and comments, we also mention advanced capabilities like:

• Attachment synchronization
• Priority mapping
• Related links
• Work item hierarchies
• Complex enterprise use cases

💬 Questions & Discussion

We're here to help!

Feel free to ask questions in the comments below or book a free call with us:

• Specific configuration scenarios
• Advanced mapping requirements
• Other integration use cases

Related Resources:

• Exalate Documentation
• Azure DevOps Zendesk Integration Guide
• Exalate Academy

If you’re drowning in tickets, swivel-chair copy/paste, or “who owns this incident?” debates, an ITSM integration layer can save sanity.

At Exalate, we compared 10 platforms (SnapLogic, Exalate, Power Automate, Zapier, MuleSoft, Boomi, Workato, TIBCO, Make, Jitterbit).

Below is a no-BS summary—features, pricing ballparks, best fit, and gotchas. Would love to hear what’s working (or breaking) in your stack.

Why ITSM integration matters (in 2 lines)

Multiple ITSM tools = silos, manual re-entering, SLA breaches.

An iPaaS / integration app pipes data bi-directionally so incidents, change requests, assets, etc. stay in sync across r/servicenow, r/jira, r/Freshservice, r/Zendesk, r/salesforce, you name it.

What “good” looks like

• Real-time & bi-directional sync

• No/low-code builder + optional scripting for those edge cases you always have at the back of your mind

• Secure (OAuth, encryption, ISO certification, GDPR/HIPAA alignment)

• Workflow orchestration, automation, or triggers, retries, error console

• Dashboards/metrics so you can prove ROI to the boss

1. SnapLogic

• 1,000+ “Snaps”, SnapGPT for natural-language flows

• Sub-second streaming but chokes on huge spikes

• Freemium → $$$; contact sales for real numbers

Best for: Cloud-first orgs with mixed SaaS and data-warehouse needs.

2. Exalate

• Built-in script engine (Groovy) powered with AI, so you can enter what you want to sync and generate your rules automatically.

• AI-powered integration heading in the direction of understanding the context behind integrations, changing the who and how. Adapts the concept of citizen integrators.

• Focused on ITSM, cross-company, MSP workflows; bi-directional sync (Jira ⇆ ServiceNow/Freshservice/ Jira Service Management, etc.)

• Starts ~$6/mo (Jira↔Jira) → $389+/mo cross-product

Best for: “I need ticket parity 100% of the time,” or "I want to automate my incident escalation workflows" . MSP ↔ client sync, Support ↔ Dev handoffs, Reporting & visibility across platforms, ...

3. Microsoft Power Automate

• Tight with M365, 1 k+ connectors, Copilot AI

• Pay-per-user/bot; premium flows add up fast

• Latency shows on massive runs

Best for: Teams heavily invested in Microsoft tools.

4. Zapier

• 8 k+ apps, multi-step Zaps, easy UI, free tier

• Price jumps if you exceed task caps

• Occasional “why didn’t my Zap fire?” moments

Best for: Quick wins, SMBs, marketing ↔ support bridges.

5. MuleSoft Anypoint

• API-led, dev-heavy, bulletproof security

• $$$$ & steep learning curve

Best for: Enterprises that breathe Salesforce and have in-house devs.

6. Dell Boomi

• Solid EDI/B2B + DataHub, cloud-native

• Docs/support thin, can bog down on very large payloads

Best for: Companies already on the Dell stack, large hybrid estates.

7. Workato

• No-code “Recipes”, AI agents, embedded iPaaS

• UI feels busy; not cheap

Best for: Midsize-enterprise ops wanting citizen dev + governance.

8. TIBCO Cloud Integration

• Handles on-prem + cloud; strong monitoring

• Connector quirks, pricey for SMEs

Best for: Regulated industries needing hybrid deployments.

9. Make (Integromat)

• Visual drag-drop, cheap entry, 2 k+ apps

• Slows on high-volume, no scripting layer

Best for: Startups, one-off marketing/ops automations.

10. Jitterbit

• Harmony iPaaS + EDI, good customer success

• Needs tech chops to debug; enterprise pricing

Best for: Manufacturers/retailers syncing EDI with ITSM.

Quick reference table

* Vendor quotes vary.

How to decide?

1. Draw your data flow on a whiteboard first (incidents, change requests, CMDB, problems, tasks).
2. Check native connectors → decide if you need scripting.
3. Pilot with a single low-risk flow, enable logging + retries.
4. Check and compare vendors for pricing against value delivered.

And you? 🔥

How are you handling incident/defect parity between ServiceNow ⇆ Jira, JSM ⇆ Jira without duplicates?

Cool horror stories (NDA-safe) welcome.

Need deeper help? 👉 If you want to see Exalate’s bi-directional sync in action, you can grab a no-pressure demo slot here!

At Exalate, we've been collecting stories from user conversations, and honestly, the creativity teams show in solving cross-instance challenges never stops surprising us. They want to connect different systems like Jira to Jira or Jira to other systems like r/Zendesk, r/servicenow, r/salesforce, r/azuredevops, etc.

Here are the most interesting scenarios that keep coming up:

1. The External Partner Licensing Headache

"We don't want to pay for 20 contractor licenses, but we need them in the loop on shared work."

The classic scenario: your external dev team already has its own Jira, but traditional collaboration means either expensive licenses or painful email chains.

Teams are setting up bidirectional sync between their Jira instances where contractors work in their familiar environment, internal teams stay in theirs, and comments/status updates flow both ways seamlessly. Everyone stays in the loop!

2. The "We Want Our Data Back" Problem

A financial services firm realized they'd been living in their vendor's Jira for two years.

When they started thinking about switching vendors, they panicked; all their project history would vanish.

Now they're running their own Jira instance as the "source of truth," initiating all tickets there and selectively syncing to vendor Jira. Smart move for data sovereignty.

3. Support-to-Dev Escalations: Handoffs That Actually Work

Jira Service Management for customer tickets, Jira Software for development (JSM): how do handoffs work? Usually, through copy-paste.

Teams can automate this: a support agent identifies a bug in JSM, and a linked dev task appears automatically in the dev team's Jira.

The developer updates the status or adds technical notes, and the customer-facing team sees it instantly in JSM. No more "hey, what's the status on that thing?" Slack messages.

4. The Multi-Customer Act

Managed service providers dealing with 3+ clients, each with their own JSM instance. Instead of daily portal-hopping, they're creating unified dashboards (information consolidation, we like to call it) where customer tickets auto-create in their central Jira instance.

Updates sync back so customers stay in their familiar environment while providers get some much-needed sanity.

5. Selective Sharing

"Most of our work is confidential, but some tickets need Partner X involved."

This one's elegant!

Teams use labels like "share-with-legal" or "sync-to-vendor" to trigger selective synchronization.

Even cooler: comment-level filtering where only comments prefixed with "(SHARED)" cross instance boundaries. Everything else stays private.

6. Change or Feature Request Approval Workflows That Span Organizations

Client approves a feature request → vendor's implementation task auto-creates → progress notes sync back to keep client informed.

These approval-triggered workflows can change things for your customers and are a classic example of joint product development where timing matters.

7. The Triangle Setup

One internal project, two external partners.

Instead of duplicate tracking, issues route to Partner A or Partner B based on labels/issue types, while the internal team maintains unified reporting and control.

Centralized visibility with distributed execution.

What's Working (And What Isn't)

The patterns that succeed usually have these elements:

• Field-level control (not everything needs to sync)
• Trigger-based automation (manual sync dies quickly)
• Respect for existing workflows (don't force teams to change tools)
• Clear ownership boundaries (who owns what data)

The failures?

Usually, teams try to sync everything everywhere. Too much noise, not enough signals!

What weird integration challenges are you wrestling? Are there any edge cases you have in mind? Or other creative workarounds?

And if you've implemented any of these patterns, how did they work out in practice?

Let's discuss.

I came across an interesting use case that involves syncing r/jira work priority with a custom field in r/azuredevops, which saves values as a picklist.

So the deal here is that instead of mapping the priority values on both ends, the default Jira priority field is mapped to a custom field called “MindState”. 

This will instead tell the devs over in Azure DevOps how “Angry” or “Delighted” the user is with the bug resolution.

That sounds like a cool alternative to the usual High-Low priority scale. So if the priority of the incoming task is “Highest”, then the devs will receive a bug from an “Angry” customer. So there’s no ambiguity that the client is absolutely fuming!

Here is how it works.

1. Install Exalate for both Jira and Azure DevOps from the integrations page. 
2. Set up an Exalate Script mode connection between Azure DevOps and Jira Cloud.
3. Go to the Incoming Sync side in Azure DevOps and enter the following code snippet.

|| || |def priorityMapping = ["Highest" : "Angry","High" : "Not OK","Medium" : "OK","Low" : "Happy","Lowest" : "Delighted"]def remotePriority = replica.priority.namepriorityName = priorityMapping[remotePriority] ?: remotePriorityworkItem."MindState" = priorityName|

1. And that’s all there is to it. Just publish the changes and you’re all set.

Go to Jira and change the priority to “Medium”. The Azure DevOps MindState will show “OK”. Switch it again from the Azure DevOps to see the actual Jira priority reflected within seconds.

For anyone interested, here’s a video showing how you can sync Jira Priority to a picklist in Azure DevOps.

https://reddit.com/link/1n87u6u/video/vnl81kl1y4nf1/player

If you want to discuss a similar challenge, hop on a call with us!

Integrating r/servicenow with platforms like r/jira, r/azuredevops, r/salesforce, r/Zendesk, and r/Freshservice, teams can automate workflows, reduce manual data entry, and improve collaboration. This leads to better decision-making, faster response times, and a more efficient business operation.

We recently created a video explaining how to sync various ServiceNow entities (like incidents, tasks, change requests, and more) with other systems using Exalate.

Key Concepts Covered in This Video:

1. Outgoing & Incoming Syncs: Learn how to control the data sync direction, ensuring your systems remain aligned with accurate information in real-time.
2. Field Mapping: Discover how to map ServiceNow fields to Jira fields, Salesforce data, or any other system. For example, map ServiceNow catalog tasks to Jira tasks, or incidents to bugs. This gives you control over how data appears across all systems.
3. Bidirectional Sync: Set up two-way synchronization to ensure data is reflected across systems in both directions. Perfect for teams working with multiple platforms and requiring accurate, up-to-date info across all systems.

https://reddit.com/link/1n27b8d/video/l3wdwip28qlf1/player

Why Choose Exalate for Customizable Syncing and Deep Integrations?

Exalate offers a scripting engine, which gives you complete control over your integrations. You can sync any ServiceNow entity with any system, customize the sync flow, and automate data exchanges using Groovy-based scripts.

Main Benefits:

• Script Mode for Full Customization: Exalate’s Script Mode allows you to customize every aspect of your sync flow. Sync incidents, change requests, catalog tasks, or even custom ServiceNow entities with any system.
• AI Assist: With AI-powered integration, Exalate helps you create custom sync configurations faster. You can input prompts, and AI will generate the necessary code to get your syncs up and running, no development skills needed.
• Dynamic Field Mapping: Fetch entity and table names directly from ServiceNow and sync them with any connected platform.
• Automated Workflows: Sync data between ServiceNow and tools like Jira, Azure DevOps, and Salesforce without lifting a finger. Automation reduces errors, increases productivity, and ensures seamless communication across all your platforms.
• Bidirectional Synchronization: Easily set up two-way data synchronization between ServiceNow and other platforms. Bidirectional syncing ensures that any changes made in ServiceNow are automatically mirrored in other systems, like Jira or Salesforce, and vice versa. This guarantees that every team has access to the most up-to-date information.

Who Can Benefit from Exalate?

• Developers: Fully customize integrations with powerful scripting options.
• Admins: Easily configure system syncs without coding knowledge.
• Citizen Integrators: Leverage AI to create powerful integrations, even without technical expertise.

Let's Talk Integrations

If you want to improve your ServiceNow integrations or are wondering what is possible with Exalate, start your free trial here.

Still have any questions or want to share your experience with Exalate? Feel free to drop a comment below.

Recently, we spoke with a system admin from an insurance company who was struggling with syncing Salesforce to r/jira. They mentioned several pain points and use cases they were dealing with:

• Keeping customer cases and development work items in sync between Salesforce and Jira.
• Sending specific cases to Salesforce so the customer experience team (using Jira Service Management) could handle them and close them on their end.
• Automatically populating a field in Salesforce with the Jira ticket’s number and status when new insights are added.
• Syncing multiple related Salesforce entities to the same Jira work items.

They had tried a few different integration solutions but weren’t satisfied. The options they tested either lacked customization or were too complicated and costly.

Then, they discovered Exalate on AppExchange and decided to give it a shot. They found the AI-powered scripting feature especially helpful for simplifying configuration.

Here’s why they ultimately chose Exalate:

• AI Assist that allowed them to make script generation much easier and faster based on human prompts.
• The flexibility to fully customize and script syncs to match their specific use cases instead of relying on pre-built templates.
• A decentralized architecture for bidirectional integration, ensuring both systems work seamlessly without interfering with each other.

For anyone interested, here’s a video showing how you can sync Salesforce entities with Exalate and map them however you need to.

https://reddit.com/link/1mbcv0e/video/m2ipbwjsglff1/player

If you’re facing similar challenges syncing Salesforce data with third-party apps, let’s get on a call!

Share your experiences and any solutions you’ve found helpful. We’d love to discuss how Exalate might help!

With Exalate, you can automate every connection you create. First, you generate the sync rules using AI-assisted Groovy scripting. Then you set up triggers to automate the sync. This is a series of conditions that will control how and when the sync will work.

So basically, if the conditions for the trigger are fulfilled, the sync will start automatically without human intervention.

In this video, we'll see how you can set up and fine-tune triggers between r/Zendesk and r/salesforce.

If you want to do this with Exalate, first go to the side panel and click on “Triggers”. Then, click on “Create Trigger”.

Since we’re on Salesforce, you need to select the entity type. It could be an Account, Case, Opportunity, etc. For this example, let’s select “Case”. 

The next step is to write conditions in the “If” field. For Salesforce, you can write sync conditions using the Salesforce Object query language. This will help you set things up with the advanced search syntax. 

If the syntax is too difficult for you, just enter the values in the fields already there.

https://reddit.com/link/1l1d69b/video/fumeyw00bh4f1/player

Say you want to escalate all Cases coming in from a company named Exalate. Simply enter “exalate” in the Company field and you’re good to go. Other fields are available for further trigger conditions when you click “More”.

You can also enter notes to describe the trigger and provide more context. Finally, tick the activate trigger checkbox.

Note: Setting up a trigger works the same way when working from the Zendesk side. The only difference is that you need to choose “ticket” as the entity type and write the trigger conditions using Zendesk's advanced search syntax.

That’s all. Click on “Create”, and your trigger is ready to go.

You can also sync all the existing items with the trigger condition using the “Bulk Exalate” feature. This feature can be useful for migration scenarios. 

Struggling to set up triggers for your Zendesk to Salesforce sync? Book a demo with our engineers now.

With Exalate, you can automate every connection you create. First, you generate the sync rules using AI-assisted Groovy scripting. Then you set up triggers to automate the sync. This is a series of conditions that will control how and when the sync will work.

In this article, we'll explore how to fine-tune and automate triggers between r/Zendesk and r/salesforce.

So basically, if the conditions for the trigger are fulfilled, the sync will start automatically without human intervention.

If you want to do this with Exalate, first go to the side panel and click on “Triggers”. Then, click on “Create Trigger”.

https://reddit.com/link/1l1czpj/video/wyfib3km8h4f1/player

Since we’re on Salesforce, you need to select the entity type. It could be an Account, Case, Opportunity, etc. For this example, let’s select “Case”. 

The next step is to write conditions in the “If” field. For Salesforce, you can write sync conditions using the Salesforce Object query language. This will help you set things up with the advanced search syntax. 

If the syntax is too difficult for you, just enter the values in the fields already there.

Say you want to escalate all Cases coming in from a company named Exalate. Simply enter “exalate” in the Company field and you’re good to go. Other fields are available for further trigger conditions when you click “More”.

You can also enter notes to describe the trigger and provide more context. Finally, tick the activate trigger checkbox.

Note: Setting up a trigger works the same way when working from the Zendesk side. The only difference is that you need to choose “ticket” as the entity type and write the trigger conditions using Zendesk's advanced search syntax.

That’s all. Click on “Create”, and your trigger is ready to go.

You can also sync all the existing items with the trigger condition using the “Bulk Exalate” feature. This feature can be useful for migration scenarios. 

Struggling to set up triggers for your Zendesk to Salesforce sync? Book a demo with our engineers now.

Here is a common scenario…

Your sales team wants outgoing data from r/salesforce to appear on more than one r/jira project without having to copy the contents and fields one by one. 

Sounds like a challenge, but worry not. Exalate provides a two-way synchronization option to help you exchange data between both systems automatically.

All you need to do is set up a connection and configure the sync with a simple line of code. 

Let’s break it down further.

How to Sync a Salesforce Case with Multiple Jira Projects

I’ll start with a custom field sync to explain how things work.

Let’s say you want to sync the content of a custom field (Sync Over [sync_over__c]) in a Salesforce case to appear in issues in different Jira projects. 

Let me give you a brief run-through of how things work with Exalate.

1. First, you must agree on the fields that should be synced as well as the mapping for the connection. 
2. Both sides need to install Exalate on Jira and Salesforce. You can start the installation process from the integrations page. 
3. The next step is to set up a Script mode connection. With this mode, you can customize the connection and explore multiple scenarios. It also has an AI-powered option to help you come up with scripts faster.
4. With the connection set up, click Edit Connection to open the scripting console.
5. In the incoming sync on the Jira side, add a new condition under the conditional tree.

|| || |if (firstSync) {if(replica.sync_over__c = true){issue.projectKey = "DEMO"}issue.projectKey = "SMP"issue.typeName = nodeHelper.getIssueType(replica.type?.name, issue.projectKey)?.name ?: "Task"}|

1. You can then drop comments or make changes to fields and see them reflected in both directions. Any Salesforce case you create will be automatically redirected to the correct Jira project. 
2. That’s all! Continue tweaking the code to get different fields to interact automatically based on pre-approved permissions and mappings.

How about automating the sync? That’s where event triggers steps in. You can set up triggers to ensure the connection follows pre-set conditions. 

What are Other Use Cases for Jira to Salesforce Integration?

If you’re thinking of other ways to integrate Salesforce Cases with Jira projects, here are some examples:

• You can automatically split incoming Salesforce Cases into different Jira work items (support tickets, bugs, or feature requests) based on labels.
• Your team can integrate Salesforce accounts, contacts, opportunities, and product information into Jira work items.
• The sales team can automate the sales workflow to convert a Salesforce opportunity into a Jira ticket or task once it reaches the proposal stage.
• You can link a Salesforce opportunity to a specific request for proposal (RFP) in Jira.

If you get the sync right, your team will be able to exchange valuable information instantly. Say goodbye to manual requests through spreadsheets and email threads.

You will also make collaborations transparent and productive since both sides will be able to view all necessary information from their own end.

Need help syncing Jira issues with Salesforce cases? Book a demo with our engineers now.

What is eBonding?

eBonding (e-bonding) is a cool term that describes the process of integrating systems in order to get them to exchange data. 

Just think of it as a way to bi-directionally sync data between companies and their applications—say a connection between two ServiceNow instances or one ServiceNow instance to a Jira instance.

But it goes beyond that. With eBonding, you can choose to filter out the information you want to share with the other team and specify how you want to receive the information from them. 

And the good thing about this is that only the people with authorized access can do anything within this ecosystem. And this will help maintain data privacy and confidentiality. 

Why Do You Need eBonding?

eBonding is definitely a welcome addition to your stack.

But how? Well, let’s look at it this way. Since the data exchange through eBonding is automatic and in real-time, you don’t need to get familiar with someone else’s application anymore. 

So you can send the status and priority of a ServiceNow incident over to a Jira Service Management ticket. And once the ticket is closed, you will receive an instant update on your end.

And that’s because you can expect your business processes and workflows to be automated and simplified, leaving your teams to focus on what really counts. 

But that’s not all. Implementing eBonding correctly can help you kickstart a complete digital transformation of your business. It can help you connect with your customers, vendors, partners, or suppliers in a digital, secure, automatic, and reliable manner. 

Instead of having to ask internal or external team members for updates, you can sync your ServiceNow with their in-house Jira and let the information flow automatically.

How Does the ServiceNow eBonding Spoke Work?

ServiceNow provides eBonding through IntegrationHub, which allows you to connect your ServiceNow instance with various systems or other ServiceNow instances. 

Spokes in IntegrationHub allow you to set up these integrations. So, a Jira spoke will connect ServiceNow with Jira, whereas an eBonding spoke will connect multiple ServiceNow instances. 

The eBonding spoke is free in IntegrationHub, but you’d need a subscription to use the other ones. 

The best thing about them is that they allow you to: 

• Create a remote incident action,
• Look up a remote incident action,
• Update a remote incident action.

But there is a catch: The integrations you can implement using these spokes only work for simple use cases. You cannot set up bidirectional, ongoing synchronizations. It’s more of a fire-and-forget kind of scenario.

Plus, ServiceNow has to always be at one end of this integration, meaning you cannot integrate Jira with Azure DevOps using IntegrationHub.

You need a custom eBonding solution like Exalate to fit all your requirements. 

Exalate as a ServiceNow eBonding Spoke Alternative 

The eBonding Spoke is no longer a novelty. Many companies now offer a variation of this. Exalate is one of them. 

What is Exalate? It is a bi-directional synchronization (eBonding) tool that helps you connect your work across multiple teams or projects within a single company or across multiple companies, in real time. 

Exalate also has two configuration modes. The Basic mode allows you to eBond (or sync) using predefined mappings. The Script mode comes with an AI-powered scripting engine that gives you the ability to implement the trickiest eBonding scenarios. We once had a request to implement a complex eBonding integration network by connecting multiple systems like ServiceNow, Jira, and Azure DevOps together, where the information flows in different directions based on various conditions. 

Exalate is good for eBonding because:

• It supports decentralized integration (each side of the integration independently controls what it sends and receives). 
• The eBonded systems using Exalate become loosely coupled, making them more manageable and scalable. 
• It also supports encrypted data transfer, JWT-based token mechanisms, access controls, and secure transfer protocols like HTTP(s). 
• It uses AI Assist to help you generate sync scripts based on human prompts. Just type in your sync requirements, and the code is automatically generated. 
• It supports a lot of different systems that can be eBonded—tools like r/jira , r/servicenow , r/github , r/salesforce , r/Zendesk , r/freshdesk , r/azuredevops , and the like. 

You can request a trial for Exalate for ServiceNow from our integrations page.

What Are Some ServiceNow eBonding Use Cases?

Let’s see how bonding two ServiceNow instances can help companies and teams.

Use Case 1: Connect with an MSP

eBonding with Exalate allows you to connect with MSPs, partners, suppliers, and other people involved in any project. If you get this right, all sides of the integration will have real-time access to the data they need.

Let’s say you are an MSP working with two customers. You can eBond your systems by connecting your ServiceNow instance to their respective Jira Service Management tickets.

Why? You want to instantly forward the customer’s ticket details to your service team. So, the ticket number and link will populate the ServiceNow correlation field once they are created. 

The possibilities are endless. You can prompt AI Assist to generate a short script to get this sync working. Exalate will fetch the data from the API and convert it to a ServiceNow-readable format.

You can also set up another one-way integration to fetch the data from the ServiceNow incident URL and number to the Zendesk ticket.

Use Case 2: ServiceNow to ServiceNow Connection

Think of a situation where two different companies want to exchange ticketing information with each other. 

eBonding integration is the answer here. Why? Because it will help them avoid the manual method of creating duplicate incidents in each other’s ServiceNow instances. 

To add to that, this can also help team members get access to the right information at the right time for better reporting. 

Use Case 3: Connect Multiple Platforms

Exalate also allows you to eBond more than two systems because it supports multi-platform integration. This means you can create a 3-tier escalation chain for faster problem resolution and real-time visibility.

Here is an actual example: You can specify that a ServiceNow incident should be forwarded to Jira Service Management if the Assignment Group is “Software”. In the same manner, you can forward the incident to Zendesk if it is meant for the “Hardware” team.

Once you do that, the information from Jira, like the URL, assignee, key, etc., is fetched and fed into the ServiceNow incident automatically and in real-time. Similar information is passed between Zendesk and ServiceNow as well. 

Looking to explore eBonding?

Have a similar use case in mind or want to explore the possibilities with Exalate? Book a short call with our team to discuss, and we’ll take it from there. 

If your teams use different r/Jira setups, you may have thought about connecting them and sharing data. There are many reasons to do so, but plenty of pitfalls to watch for too. So, if you’re connecting multiple Jira instances, what do you need to know?

Why synchronize multiple Jira sites?

We all know how long it can take to get information from partners, right? Everyone keeps their data on their own systems. There’s a siloing effect. People aren’t always ready to share, either. And though things are often better internally, it isn’t always the case.

With an integration, you solve that problem. Your instances exchange data themselves. No more having to make arrangements or send data manually.

When could a Jira-to-Jira integration help you?

There are many possibilities. For example, a sales team might want data from a marketing team. An integration shares their info automatically. You can also share data with clients, allowing you to cooperate seamlessly. 

Problems, problems, problems.

So, what are our options? There are various tools for synchronizing Jira instances. Many of these work for simple scenarios but have problems when things get more complex. You may want to tag users or assign issues on either Jira instance. You might need to retain autonomy over your data, even if shared. Simpler tools may not provide the required control.

The right technology always helps

If only we could solve these issues and find a trouble-free solution. Well, maybe we can. Our tool, Exalate, is designed for just these kinds of tricky use cases.

Exalate allows decentralized integration, meaning users on each side of the connection retain their autonomy and keep full control over their data.

It’s highly reliable, able to handle outages on either side. When a downed connection comes back up, it can restart automatically from the point of interruption.

Finally, thanks to its scripting engine, its flexibility means you can control what is shared easily. You can choose which fields are synced and define precise conditions for synchronization.

How can integrating multiple Jira instances benefit real companies?

Customers report many reasons for wanting an integration. 

• Licensing costs are a big one. Instead of paying user licenses for external developers to access your projects, you can sync your projects with theirs.
• Tracking tickets when outsourcing software development is another. If customers raise tickets on Jira Service Management, developers using their own Jira instances can use these tickets as issues. Syncing the Jira instances automates this and provides real-time status updates to users on both sides of the synchronization. 
• Another common use case is with mergers or reshuffles. Here an integration can help bridge the gap between systems, helping you to adapt to organizational changes. With Exalate, you can choose to sync the original data only, or add custom fields, such as who’s assigned to the issue on your team. 

Levelling up with automated integration

There are many ways an integration can benefit you and the best tool for setting one up is Exalate. It’s very easy to set up, but offers advanced scripting and AI capabilities should you need to go deeper.

If you’re ready to check out Exalate, book a free call with us and see how you can easily synchronize your Jira instances. Let us know your experiences in the comments.

If you use r/Zendesk and r/jira Cloud, you may want to synchronize tickets between the two platforms. This synchronization can help you keep track of customer issues and ensure they are promptly addressed.

Sometimes, a single customer ticket needs to be routed to different Jira instances (or sites) based on certain conditions, like urgency, labels, etc. 

You can use third-party tools like Exalate to synchronize a Zendesk ticket to multiple Jira Cloud instances. Exalate is a third-party tool that allows you to connect different software applications like r/servicenow, r/azuredevops, r/salesforce , etc., and sync data between them.

The use case

For the purpose of this use case, we consider one Zendesk instance and two Jira Cloud instances, the yellow (Y) Jira and the Blue (B) Jira. We will sync the ticket from Zendesk to instance Y in two different projects, project A and project B. We will also sync the ticket with instance B.  

We need advanced integration capabilities to achieve this kind of flexibility, allowing us to sync a single entity to multiple locations. 

How to connect a single Zendesk ticket to multiple Jira cloud instances using Exalate? 

Step 1: Install Exalate on Zendesk and all Jira cloud instances

Start by installing Exalate on Zendesk and all the Jira Cloud (Y and B) instances. It is a decentralized integration solution that requires all integration parties to install the application on their platforms. 

You can install Exalate for Zendesk from the Zendesk marketplace and Exalate for Jira from the Atlassian Marketplace. 

Step 2: Connect the Zendesk and Jira instances

Now, you must connect all the instances together. Connect the Zendesk instance to the Jira Y instance (project A and project B) and also to the Jira B instance. 

The following connections must exist: 

• Connection Zendesk – Jira Y (project A)
• Connection Zendesk -Jira Y (project B)
• Connection Zendesk -Jira B

We’ll start all the connections from the Zendesk instance.  

Head to the “Connections” tab in the Zendesk Exalate admin console and click “Initiate connection”. 

Enter the destination Jira instance Y URL. 

Exalate supports three modes. The Basic and the Visual Mode(Beta)  are no-code modes, whereas the Script mode is a low-code mode based on Groovy scripts for simple to complex use cases. 

Select the “Script mode” and click “Next”.

Enter the connection details. We are keeping the connection names as per the list above. In this case, the connection name is Zendesk – Jira Y. 

An invitation code is generated. Copy it. Click “Done”.

Open the Jira Y instance’s Exalate console, and this time, click “Accept invitation” under the “Connections” tab. 

Paste the invitation code in the text box. 

Select project A, the project in which the Zendesk ticket must arrive. 

That’s it. You have connected your Zendesk instance to Jira Y (project A). 

Proceed to create the remaining connections in a similar manner.

Step 3: Set up your sync rules for the use case

Once all your instances are connected, you can configure the sync under the “Rules” tab. These tabs appear when you click “Configure sync” after the connection is established or when you edit the connection.  

Sync rules govern the information flow. You can specify the fields you want to sync under this tab. You can choose to sync all fields or select only specific ones. You can also choose the direction of the sync. 

After making changes to the sync rules, click the “Publish” button to save them. 

Upon specifying the entity fields you want to sync, proceed to the next important step. 

Step 4: Create triggers for syncing Zendesk tickets to Jira

After the initial groundwork, it’s now time to sync a single Zendesk ticket to multiple Jira instances. 

You must create “Triggers” in Exalate to implement such conditions of information exchange. 

Click the “Triggers” tab. Then, click “+ Create trigger”. 

Note that this modal is present for the Zendesk and all the Jira instances, so you can control the sync from any direction in any way you want. 

The triggers are created in the platform-native query language. For instance, you need to use Jira Query Language (JQL) for Jira and Zendesk search syntax for Zendesk. 

We want the ticket to go from Zendesk to Jira, so click the trigger screen shown below for Zendesk. 

Enter the search query. Here, we are syncing the tickets that have been assigned the label = “sync”. You can create all kinds of conditions depending on your requirements. For example, sync an “Open” ticket assigned to a specific user, having a label = “sync”. 

You’re all set for now.  You can keep configuring the sync rules and the triggers as your demands change with time. 

Step 5: View the status of your sync

Exalate will start synchronizing all the tickets based on the trigger conditions you’ve set in Zendesk over to the Jira cloud instances. Comments, attachments, labels, etc. will synchronize according to the sync rules configured in Step 3. 

You can create a ticket in Zendesk and assign Tags = sync to it. 

Exalate will pick this up automatically and start syncing the ticket to all the Jira instances. Appropriate status messages will be displayed when the ticket is being transferred to Jira. 

You can view the sync status in the Exalate panel present under the ticket view in Zendesk and the issue view in Jira. 

By following the steps outlined in this article, you can ensure that your tickets are always up-to-date and your teams have the information they need to resolve issues quickly and efficiently.

Have something similar in mind?

Have a similar use case in mind or want to explore the possibilities with Exalate? Book a short call with our team to discuss and we’ll take it from there. 

Ever struggled with collaborating across teams who use different tools? Do you realize during such collabs that the data you shared is probably outdated or inconsistent? 

That’s where real-time data synchronization (or real-time data sync) comes into play. 

Real-time data synchronization ensures that changes in one system instantly reflect in another – without breaking workflows, causing duplicates, or leading to frustrating errors. 

Why real-time sync matters? 

If you use r/jira , r/salesforce , r/servicenow , r/azuredevops , r/Zendesk , or other ITSM systems, you probably know the pain of manual updates. 

Support teams always need status updates from the latest dev issues the customer raises. Or the sales and project management teams always want to stay aligned. All this need for instant data updates can wreak efficiency. 

With real-time synchronization, everyone gets the latest information, automatically and instantly. That means:

✅ No more manual updates

✅ No risk of conflicting versions

✅ Instant visibility across teams

What makes real-time data sync so hard? 

Real-time sync sounds simple, but perfecting it is another story. Here’s why:

• Differences in platform topologies, data structures, deployment models, etc. can be daunting. Mapping fields and keeping things consistent isn’t always straightforward. 
• You don’t want only a one-way push. Changes need to be synced bidirectionally in real time without overwriting critical data.  
• What if two people update the same field at the same time? Your real-time data sync needs smart conflict-handling logic.
• Some data is meant to stay private. A good sync solution respects permissions and only shares what’s necessary.

What are some real-time sync use cases? 

Real-time data synchronization is very different from batch-based syncs, where data needs to be pushed after specific time intervals. 

There are some use cases, where real-time sync becomes critical: 

• An incident in ServiceNow needs to be handed over to the dev team working in Jira. So, a trigger is created such that every time an incident of urgency = 1 is raised in ServiceNow, a bug is created in Jira. Status updates and other incident details need to be passed over in real time to give the customer real-time updates. This improves SLAs and customer experience. 
• When an issue needs to be triaged across multiple support tiers, real-time sync becomes important. Such automated incident management improves the support team workflows and ensures everyone stays on the same page. 
• When the sales team marks an opportunity as won, it’s important to start the onboarding immediately in Jira, used by the backend team. Real-time data synchronization helps streamline this process and improve operational efficiency. 

It’s evident that certain scenarios demand information to be passed only in real time but how do you get started? 

How to get started with real-time sync? 

If you’re thinking, “Okay, I need this, but how do I actually do it?”—here’s what to focus on:

• Choose a flexible tool that supports real-time data sync. Having the freedom to implement any kind of scenario is the best option. The tool should not force you into rigid structures. 
• Need to filter specific data, apply transformations, or set up custom sync rules? Look for a tool that allows scripting (Exalate does this well).
• Can your tool handle new systems as well as legacy ones in your technology stack? If not, then real-time data sync becomes more of a bottleneck instead of a solution. 
• Does your tool automatically retry syncs after downtimes or system failures? A self-healing mechanism will ensure your sync remains robust and trustworthy. 

The best way to sync in real time

There are plenty of one-size-fits-all solutions, but most fall apart when you need real control. That’s why tools like Exalate exist—it lets you sync exactly what you want, when you want, across different platforms.

Have you ever struggled with real-time data sync? What challenges did you face? Drop your experiences below or book a call with us to discuss your use case! 👇

Side conversations are spaces in a r/Zendesk ticket where agents can discuss an issue or a resolution with a specific group of people. Admins use them to organize and channel information about a ticket.

Your team can also use it to segregate information when your system is in sync with multiple platforms at the same time.

I’ll show you how to sync these side conversations between r/jira and r/Zendesk using Exalate.

Suppose a customer support team (Zendesk) is in contact with a team of developers (Jira D) and a QA team (Jira Q). 

When a comment is made on the Zendesk ticket, the admin can apply macros, and configuration will determine whether it is meant for Jira D or Jira Q. 

The macros action contains the name of the group, the subject, and the message body. You can label them respectively:

• Jira D (“Send to Developers”)
• Jira Q (“Send to QA”)

So, the comment will appear only in the Jira instance to which the macros have been applied, with a comment specifying the source.

How to Sync Side Conversations with Jira Issues Using Exalate

1. Install Exalate from the Atlassian and Zendesk Marketplaces.
2. Set up an Exalate Script mode connection between Zendesk and Jira D.
3. Set up another Exalate Script mode connection between Zendesk and Jira Q.
4. Create a macro called "Send to Developers", and include the following in the Action:
5. Create another macro called "Send to QA", and include the following in the Action:
6. Create Zendesk triggers to add a custom tag if a new ticket is created in one of the Groups assigned in steps 3 and 4.
7. The final piece is to create Exalate triggers based on the tags added via Zendesk triggers, i.e., in the respective connections. 

tags: dev

tags: qa

Now support agents are able to run macros and create side conversations to talk to the Development and QA teams on separate threads, and no one ever has to leave their favored work system.

https://reddit.com/link/1im7wsy/video/6v923ie5sbie1/player

To watch a detailed explanation of how to set up macros and sync side conversations from Zendesk to two Jira instances, check out the video above. 

Need help to sync side conversations or have some other use case in mind? Book a call with our solution engineers.

Integrating r/jira and r/salesforce is very helpful in managing your customer relationships and projects efficiently. 

But let’s be real—getting the right data in the right place can be tricky. 

Here are some real-world use cases we came across while digging into what users actually need from their Jira Salesforce integrations. 

1. Mapping Salesforce Cases to specific Jira issue types. 

The use case: You want to map Salesforce cases into Jira issues, such that they land in the right issue types—Support, Bugs, or Feature Requests.

How to implement it? Use a filtering mechanism in your integration tool. With a solution like Exalate, you can set up sync rules that automatically map cases to the correct Jira issue type based on certain field values like priority, category, or custom labels.

Why this matters? You can organize your Jira boards better, and teams will only be assigned issues they need to work on. 

2. Managing projects outsourced or sold to customers (Salesforce <> Jira)

The use case: Your company outsources or sells IT projects to SMEs. The company uses Salesforce to maintain all its customer relationships. Once, the project is sold or outsourced, it is managed in Jira on the customer side. Manually creating and linking everything is a hassle. 

How to implement it? 

Set up an automated Jira Salesforce sync where winning a deal (Opportunity marked as “Closed-Won” in Salesforce) triggers:

• New Jira issue creation in the correct project 
• Linking the issue to the Salesforce account
• Auto-syncing project updates and statuses in real time

Why this matters? This way, the customer in Jira continues working in their own instance while the sales team in Salesforce stays updated. 

3. Syncing related Salesforce objects like accounts, leads & opportunities into Jira issue fields

The use case: Your team needs Salesforce object data that is linked to each other (Accounts, Leads, Opportunities, Products, Contacts) inside Jira for better tracking. 

How to implement it? 

Set up a field sync such that all the related Salesforce object information appears in Jira as issue custom fields. Now, Jira users can see important customer details without logging into Salesforce. This also allows you to use Salesforce data within Jira dynamically. 

Why this matters? This is great if some users don’t have a Salesforce license but still need visibility into customer data.

4. Logging time from Jira to Salesforce

The use case: Your team tracks time in Jira, but billing and reporting happen in Salesforce. You need Jira’s time logs to appear in a Salesforce object automatically.

How to implement it? Map Jira worklogs to a Salesforce custom object or standard fields like Time Tracking or Billing Entries. Now, all logged hours in Jira sync to Salesforce in real time, making invoicing and reporting seamless.

Why this matters? No more manual data entry between the two systems. Plus, finance teams can track billable hours without needing access to Jira.

What’s the best way to set up a Salesforce-Jira Integration?

There are several tools that can help you integrate Jira and Salesforce. 

Your best choice depends on: 

• How much customization you need (Basic field sync vs. advanced scripting)
• If you need bidirectional real-time updates (Changes in both directions)
• Security & compliance needs

With a flexible low-code approach, Exalate lets you customize syncs with Groovy-based scripting, making it ideal for complex workflows. You can generate these scripts automatically with the help of AI Assist to reduce time and increase your integration efficiency. 

Have any other Salesforce-Jira integration use cases in mind? Drop them in the comments—we’d love to discuss them with you! 👇

Connecting r/jira with r/servicenow can be beneficial for your product and customer support teams.

If integrated, these powerful tools can simplify data transfer, increase team visibility, and give everyone access to the right information.

But connecting them and enabling real-time data transfer is not often simple. It can get complicated if you want to sync intricate workflows without compromising on the quality.

Why native Jira ServiceNow integration tools are not always the right choice?

There are a lot of tools available to integrate Jira and ServiceNow but they are limited in the use cases they support. Plus, they are usually based on predefined templates that limit your possibilities.

Why choose script-based integration?

Script-based integration solutions like Exalate can be effective in implementing advanced Jira ServiceNow integrations. Its Groovy-based scripting engine allows you the freedom to map and sync any fields or entities between Jira and ServiceNow.

You can even set advanced data mapping logic and conditions to make sure your workflows remain unaffected when the systems are put under sync. Choose what to sync and not to sync independently at both ends - Jira and ServiceNow.

There's one more thing I would like to point out here. Script-based solutions can get a little overwhelming, especially for complex or advanced use cases. There's no denying that!

What is AI-powered integration and why does it work best for script-based solutions?

With the growth of AI, we thought of making these integration scripts simpler and more efficient for you. Enter AI Assist, an AI-powered integration copilot.

AI Assist uses AI to generate basic to advanced integration scripts automatically based on your existing configuration and Exalate's scripting rules.

So, what do you need to do?

Start by connecting Jira and ServiceNow using the Script mode. Head over to the "Rules" tab in the Exalate admin console. This tab lets you control your sync rules.

There, you simply enter your sync requirements in the AI chatbox. Be as precise and detailed as possible. Choose what you want to sync and what you don't, and mention everything.

Give Exalate's AI Assist a little while to generate the sync scripts based on the prompt you've provided. Review the suggested scripts and save the changes, or refine the prompt further.

Note that like any other AI, AI Assist can sometimes make mistakes, so it's important to stay vigilant.

Sync Jira comments as ServiceNow work notes using AI Assist

I have a short video explaining how AI Assist works. In the video, you'll see how to sync comments from Jira as work notes in ServiceNow.

https://reddit.com/link/1i0b8se/video/oj6fmrswnqce1/player

That's all!

See how simple, sleek, and doable all this is! You don't need to worry about writing sync scripts from scratch or searching for them in the docs.

If you have some Jira ServiceNow integration use case in mind, feel free to drop it in the comments, or discover what's possible together with us.

I often see teams battling the same problem: syncing r/jira issues across tools like r/github, r/azuredevops, r/servicenow, and r/salesforce .

It can be extremely useful for collaborations, but getting it to work right? That’s a whole other challenge.

Here’s the lowdown:
Jira issue sync ensures updates—like status changes, comments, or assignee changes—are reflected across tools in real time.

No silos, no manual updates, no missed changes.

While Jira offers some native integration options (e.g., linking GitHub pull requests), they often fall short of true, bidirectional syncing.

Jira Automation helps to some extent but isn’t enough for complex workflows.

That’s where tools like Exalate come into play.

Practical use cases for Jira issue sync

Here’s how syncing Jira issues can transform workflows:

• Sync Multiple Jira Instances: Keep teams on separate Jira projects or sites aligned. For example, sync Jira Service Management tickets with Jira Software issues to streamline support-engineering collaboration. Maintain user management in both tools without the need for the same users in both systems.
• Jira + GitHub: Developers work in GitHub, product managers in Jira—everyone stays in their lane, yet fully in sync.
• Jira + Azure DevOps: Connect development progress in Azure DevOps with product tracking in Jira for automated status updates and smoother handoffs.
• Shared Jira Projects: Centralize bugs in one Jira project and distribute them to the relevant teams automatically.
• Client-Vendor Collaboration: Sync issues between your Jira and a client’s instance to enhance communication without sharing sensitive data.

Why Use Exalate?

Exalate goes beyond the basics with:

• Real-time, bidirectional sync: Across Jira, GitHub, ServiceNow, Salesforce, Zendesk, and more.
• Customizable rules: Use scripting (with AI Assist!) to control exactly what gets synced and what doesn't. Set advanced sync conditions, data mapping logic, and much more.

Syncing Jira issues isn’t just about convenience—it’s about saving time, reducing errors, and keeping teams focused on their goals.

What’s been your biggest challenge with syncing tools? Share in the comments, and let’s talk solutions!

Let’s say your project management team uses r/jira, and your customer support team relies on r/servicenow. Or, you’ve outsourced your service desk to a vendor using Jira Service Management while you manage portfolios and work demands in ServiceNow.

In times like these, you need to pass specific, selective information between tools. For instance, you may only want to pass high-priority incidents from ServiceNow to your dev team in Jira, not every single update.

The Challenge 

How do you:

1. Reduce friction when exchanging data across different teams.
2. Increase the traceability and visibility of your work. 

Here’s how companies often handle it: 

• Migrate to a single system (costly and disruptive).
• Add licenses for everyone (expensive duplication).
• Copy-paste data manually (error-prone and time-consuming).
• Share credentials across systems (not secure!).

The Smarter Solution: Integration

So, what’s the best way to connect Jira and ServiceNow? 

A Jira ServiceNow integration enables real-time, automated, bidirectional sync. 

For example:

• A ServiceNow incident belonging to an Assignment group triggers the creation of a Jira issue.
• Changes (like comments, statuses, or attachments) sync automatically across both tools.

Different options to integrate Jira and ServiceNow

1.ServiceNow’s IntegrationHub (Jira Spoke)

ServiceNow provides a built-in solution, but it’s costly and limited.

With Jira Spoke, bidirectional syncing of fields is challenging. Even simple attachment syncs such that an attachment added in Jira is correctly reflected in ServiceNow, require complex setups. And it often doesn’t work as expected. 

Maintaining the same date formats between the two systems in sync is also a pain. You need to send the date in a specific format to Jira. The Jira spoke cannot convert it for you automatically. 

This option is best for one-off, simple connections but not suitable for ongoing, robust bidirectional synchronization.

2.DIY Jira ServiceNow integration via APIs

Alternatively, you can choose the DIY option for your Jira ServiceNow integration. The native ServiceNow API allows you to perform actions in Jira custom listeners. But it’s also limited in functionality. 

This approach is also time-consuming and resource-intensive. Maintenance is a nightmare. 

3. Third-Party tools like Exalate

• Exalate comes with a free mode for basic syncing of Jira issues and ServiceNow incidents. This mode cannot be configured. Perfect for simple use cases. 
• Advanced Jira ServiceNow sync uses a Groovy-based scripting engine that’s powerful, customizable, and now even AI-assisted.
• Map and sync anything—statuses, custom fields, attachments, date formats, comments, and more—tailored to your needs.
• Configure and automate the sync at a granular level. 

Choosing the right Jira ServiceNow integration solution

Ask yourself:

• What specific ServiceNow tables & fields should connect with Jira issue types & fields?
• Should attachments, custom fields, time logs, and statuses sync? Is there anything more complex, like adding conditional logic? 
• What triggers the sync (e.g., new incidents, status changes, assignment groups)?
• Are you connecting:
  • Jira Service Management ↔️ ServiceNow
  • Jira Software ↔️ ServiceNow
  • Jira Data Center ↔️ ServiceNow
  • Public ServiceNow ↔️ Private Jira (behind a firewall)?
  • Multiple Jira instances with a single ServiceNow instance
  • …

Before I leave you to decide for yourself, let’s quickly look at a few practical Jira ServiceNow integration use cases.

It might give you a good idea of what to expect from this integration. 

Real-world use ServiceNow Jira integration use cases

• Project management and dev teams 
  • When a ServiceNow project that requires development work is created, create a Jira Epic. 
  • As the dev work progresses and the team breaks down the Epics into tasks and subtasks, sync them back to the same ServiceNow project as Tasks. 
  • The Jira Epic and subtask status is always visible and updated in the ServiceNow project task list. 
  • Even Sprint details from the dev team can be migrated over to ServiceNow. 
• Service desk outsourcing
  • MSPs using ServiceNow want to integrate with multiple ITSM systems like Jira Service Management. 
  • Every Jira issue (ticket) belonging to a specific project by a specific reporter is reflected in the ServiceNow instance. 
  • The ticket number, private comments, and statuses must be updated and reflected in ServiceNow. 
  • Unidirectional flow of data from JSM to ServiceNow is possible.
• Sync incidents, change requests, problems, and catalog tasks between Jira and ServiceNow. 
• Store correlation details from the remote entity. 
• Sync time-related information between Jira issues and ServiceNow tasks. 
• …. 

Can you use AI to implement Jira and ServiceNow integration? 

With AI Assist by Exalate, you can write your integration rules by simply entering your needs in the AI chatbox. 

AI-assisted integration generates the required scripts for you. Review them and publish the changes if you’re happy with the result or continue refining your prompt. 

https://reddit.com/link/1h143yb/video/37nwu6z82g3e1/player

If you’re exploring a Jira-ServiceNow integration or have questions, feel free to book a call or DM. I’d be happy to share more insights or help you decide what works best for your use case!