Jira

Zendesk

Integration

Revolutionary Archiving of 8 Million Issues Across 36 Jira Servers in Under 30 Days

A leading global consulting and technology services firm archived over 8 million Jira issues from 36 separate Jira Server instances into Zendesk using Getint Archiver—completing the entire process in under 30 days. The approach combined direct database connections, data standardization, parallel migration pipelines, and the innovative Getint Archiver tool to handle large volume and complexity efficiently.

Client Overview

Industry:
IT
Consulting
Company size:
Enterprise
Location:
Global
KEY STAKEHOLDER
Damian
Senior IT Service Manager
  • Global consulting firm operating in 50+ countries
  • Archived 8 million issues from 36 Jira Server instances
  • Centralized archive to Zendesk using Getint Archiver
  • Completed zero‑downtime archiving in under 30 days
  • Managed direct DB access, data standardization, and parallel processing

Scope of Work

Issue Extraction & Archiver Setup
Connected directly to Jira databases and deployed Getint Archiver per instance.
Data Standardization
Unified issue structures, fields, and schemas across all 36 servers.
Parallel Archiving Pipelines
Fed multiple Archiver instances in parallel to expedite the 8M issue archive.
Zendesk Import
Transferred standardized data into Zendesk from the Archiver, maintaining integrity.

Integration Objective

To consolidate 8 million Jira issues from 36 legacy Jira Server instances into Zendesk within one month—achieving full lifecycle archiving with zero downtime, data consistency, and minimal manual effort.

Data Integration Specifics

Issue Types:

Archived issue types:

  • All Jira issue types across 36 servers

Field Mapping:

Fields included in archiving:

  • Summary, Description, Status
  • Comments, Attachments
  • Custom fields—preserved and standardized
  • Timestamps, reporters, history

Scripting and Custom Development Support

Leveraged custom DB connections and Archiver scripts; minimal scripting focused on edge-case handling and pipeline orchestration.

Success Metrics

The integration’s success was defined by
  • 8M Issues Archived

    Successfully archived over 8 million issues in under 30 days across 36 servers.

  • Zero-Downtime Execution

    Live Jira instances remained fully operational throughout migration.

  • Standardized Data

    Maintained unified data schema and integrity across all archives.

  • Efficient Pipeline Scaling

    Parallel processing significantly accelerated archiving performance.

Vendor Selection Process

The client selected Getint based on its ability to handle direct Jira DB connections, provide high-volume archiving capability, support data standardization workflows, and enable rapid deployment with Archiver—features not available in traditional migration tools.

Why Getint Stood Out?

During the vendor selection process, Getint emerged as the preferred choice due to:

Built-in Integration

No need for an external hub, ensuring easier maintenance

User-Friendly Interface

Accessible for standard Jira administrators, with straightforward configuration

Reliability and Low Maintenance

Set-and-forget functionality

Cost-Effectiveness

Balanced pricing for the value delivered

Responsive Support

Prompt and effective assistance during setup and troubleshooting

800 000 +

Active Users

5 000 +

Installations

3.8 / 4

Rating

7 mln

Integrations Daily

Our Certifications

SOC 2 Type 2 Certification

What We Accomplished

Deployed 36 Archiver instances

running in parallel.

Standardized and archived all Jira issues

across servers.

Maintained full production uptime

during archival window.

Delivered complete dataset into Zendesk

with full fidelity.

What Key Stakeholder Say

“The comprehensive migration project… was methodically bifurcated into two distinct phases… ensuring the uniformity of data sets.”
Damian
Senior IT Service Manager

Conclusion

Getint enabled a groundbreaking archiving of 8 million issues across 36 Jira instances in under 30 days—transforming legacy system noise into a unified Zendesk archive.
By combining direct DB access, data normalization, and scalable pipelines, the project set a new benchmark for enterprise-scale Jira archiving.

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Frequently asked questions

Have questions?

We've got you!

Our comprehensive FAQ section addresses the most common inquiries about our integrations, setup process, pricing, and more - making it easy to find the answers you need quickly.

Can we archive millions of Jira issues?

Yes—this firm archived 8 million+ issues from 36 servers in under 30 days with Getint.

Will the live Jira environment remain unaffected?

Yes—the project used parallel Archiver instances with zero downtime to live systems.

Are custom fields preserved and standardized?

Yes—custom fields were unified across servers and archived accurately.

Is scripting required for orchestration?

Minimal—custom DB connections and pipeline orchestration scripts were used for efficiency.

Can archived data be used in Zendesk?

Yes—the full dataset was imported into Zendesk, preserving history and attachments.

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