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OpsHub Migration Manager

Zero downtime migration to tool of your choice

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Keep Historical Data, Without Slowing Down Your Tools

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Migrate or restructure Azure DevOps

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casestudy

Migration

DEVOPS

No Sprint Missed.

Rally → ADO + Jira Migration

  • 500+ PROJECTS
  • 100K+ Engineers
  • Zero Downtime

A large global enterprise running Agile, AI, and DevOps programs across hundreds of projects migrated 600K+ artifacts from Rally to Azure DevOps and Jira, in production waves, with zero downtime, zero sprint disruption, and a clean day-one experience.

470

Rally Projects
Migrated to ADO

91

Rally Projects
Migrated to Jira

200K

Archived Entities
via Data Bridge

100K+

Engineers Affected

0

Downtime Minutes

01

The Challenge

Scale · Speed · Zero Disruption

Massive Data Volume at Scale

The migration involved hundreds of projects, many different entity types, and a complex mix of current-state data and multi-year history. Standard migration tooling was not built for this volume or structural complexity.

Zero Downtime Requirement

Development teams depended on continuous access to their tools for sprint planning, execution, and delivery. Any outage, even brief, risked missing sprint commitments and release timelines across distributed global teams.

History vs. Active Data Separation

Not all historical data needed to live in ADO or Jira. Migrating everything would clutter the new systems, increase platform costs, and degrade performance. Older data needed a clean, accessible home outside the primary tools.

Dual-Destination Complexity

The migration ran on two parallel tracks: Rally to Jira and Rally to ADO, with different entity structures, field mappings, and workflow conventions. Both tracks needed simultaneous governance without cross-contamination.

02

Why the Change

The Business Case for Modernization

Modernize the Toolset

Rally's limitations were constraining agile team velocity. Moving to Azure DevOps and Jira unlocked modern workflows, richer integrations, and an evolving product roadmap aligned to the organization's future.

Workflow Efficiency

ADO and Jira's native integrations with CI/CD pipelines, dashboards, and reporting tools dramatically improved end-to-end visibility and reduced manual overhead across engineering and delivery teams.

Full DevOps Lifecycle

The organization needed a platform that could support the complete DevOps lifecycle, from backlog to deployment. ADO in particular provided a unified environment for planning, code, test, and release.

Cost Advantages

Already invested in Microsoft Azure, the organization unlocked significant cost benefits by consolidating onto Azure DevOps, reducing licensing overhead and gaining strong industry adoption backing.

Critical Jan 2026 Deadline

A hard cutover deadline created urgency. The migration needed to be planned, piloted, and executed in structured waves to hit the target date without compromising quality or operational continuity.

Proven OpsHub Relationship

Having successfully used OpsHub Migration Manager in a previous 600K artifact migration from Rally to ADO and qTest, the organization had the trust and evidence needed to select OpsHub again for a larger, more complex scope.

03

Solution Architecture

Three-Product OpsHub Stack
  • Source System — Being Decommissioned

Rally (CA Agile)

Source of ~600K+ Artifacts · Hundreds of Projects · Multi-Year History

DECOMMISSION

  • OpsHub Product Suite

OpsHub Migration Manager

Phased · Governed · Enterprise-Scale

Handles large-scale migration with phased wave execution, entity mapping, and history preservation

OpsHub Data Bridge

Archive · Secure · Searchable

Archives older data into a secure, structured database, keeping it fully accessible without loading ADO or Jira

Archive Data Explorer

Browse · Search · Export

Provides a ALM-like UI for viewing archived data. Users can easily search, browse, and export.
  • Target Platforms

Azure DevOps

470 Rally Projects → 40-45 ADO Projects

Project Consolidation + current-state data + tabular history in custom fields

Jira

91 Projects · ~120K Entities

Wave 1: history migration · Wave 2: current-state + structured history

Secure Archive

~200K Entities · 104 Projects

Four years old data preserved with comments, attachments, revisions

04

Phased Execution Plan

Low-Risk · Wave-Based · Parallel Tracks

Low-Risk · Wave-Based · Parallel Tracks

POC

VALIDATION

  • 1 Pilot Project
  • Entity mapping validation
  • Field logic testing
  • Stakeholder sign-off

Wave 1

HISTORY-BASED

  • 27 Projects
  • Full history migration
  • Complete audit trail preserved
  • Zero team disruption

Wave 2

CURRENT-STATE

  • 64 Projects
  • Current-state migrated
  • History in structured tables
  • ~120K total entities

Low-Risk · Wave-Based · Parallel Tracks

Pilot

ADO SETUP

  • ADO workspace config
  • N:1 project consolidation validated
  • Field mapping approved

Waves 1–5

PRODUCTION

  • 470 Rally projects
  • 40–45 ADO target projects
  • Multi-project consolidation
  • Current-state + tabular history
  • 12 entity types handled

Parallel: Data Archiving Track

Four years old data from 2 Rally work spaces (104 projects, ~200K entities) archived with full fidelity — comments, attachments, relationships, and revisions all preserved. Accessible via OpsHub Archive Data Explorer without touching production ADO or Jira instances.

05

Migration Scope

Full Data Coverage

Rally → Jira

WAVE MIGRATION · HISTORY PRESERVED

POC Projects
1
Wave 1 Projects
27
Wave 2 Projects
64
Total Entities
~120K
Entity Types Migrated

Risks

Sprints

Themes

Initiatives

Features

UserStory

Tasks

Bug

Rally → Azure DevOps

N:1 CONSOLIDATION · 5 WAVES

Rally Source Projects

470

ADO Target Projects

40–45

Consolidation Ratio

~10:1

Production Waves

5

Entity Types Migrated

Bugs

User Stories

Tasks

Features

Blueprints

Risks

06

Deployment Metrics

Scale at a Glance

600k+

Total artifacts

migrated

470

Rally projects

to ADO

120k

Entities migrated

to Jira

200k

Entities

archived

0

Sprints

disrupted

Before Migration

  • Rally: Aging, limited toolset
  • No DevOps lifecycle support
  • High platform licensing costs
  • Fragmented data environments

OpsHub Suite

OMM + DATA BRIDGE

+ ARCHIVE EXPLORER

After Migration

  • Clean ADO + Jira day-one state
  • Full history accessible on demand
  • Reduced platform costs via archive
  • Full DevOps lifecycle enabled
07

Intelligent Data Archiving

Keep ADO & Jira Clean

The Archive Strategy

Data approximately four years old was not migrated into ADO or Jira, doing so would have cluttered the new systems, degraded performance, and increased platform costs. Instead, OpsHub Data Bridge captured this data in a secure, structured database while OpsHub Archive Data Explorer made it fully accessible through a familiar ALM-like UI.

2

Rally Workspaces

Archived

104

Projects

Preserved

~200K

Entities

Secured

08

Capabilities Leveraged

What Made This Migration Succeed
Feature What It Does Business Impact
Entity Transformation
Rally entities mapped to ADO and Jira native types with field-level precision
Clean, native data in destination tools, no “migrated from Rally” clutter
Phased Wave Execution
POC → Pilot → Production waves with checkpoints and rollback safety
Enabled zero-downtime approach and stakeholder confidence at each stage
N:1 Project Consolidation
Many Rally projects mapped into a single ADO project with structural integrity
Enabled 470 Rally projects to consolidate cleanly into 40–45 ADO projects
History Preservation
Full change history stored in structured tables or native ADO custom fields
Maintained complete audit trail without overloading the destination systems
Dual-Track Migration
Simultaneous independent migration tracks to different destinations
Rally → Jira and Rally → ADO ran in parallel without interference
OpsHub Data Bridge
Archives older data into a secure, queryable database outside primary tools
Kept ADO and Jira clean while preserving 200K older entities with full fidelity
Archive Data Explorer
RALM-style read-only UI for browsing, searching, and exporting archived data
Users access historical data without IT involvement or production system load
09

Results

What Was Delivered
01

On-Schedule Delivery

Large-scale modernization delivered on schedule, meeting the critical January 2026 deadline. All migration waves executed within planned windows across both ADO and Jira tracks.

02

Zero Disruption to Work

Large-scale modernization delivered on schedule, meeting the critical January 2026 deadline. All migration waves executed within planned windows across both ADO and Jira tracks.

03

Clean Day-One State

A clean, desired Jira and ADO environment from day one. No legacy clutter, no noise from old data, no performance penalties, exactly the fresh start teams needed to work effectively.

04

Transformed Data Structure

Rally data was not just copied, it was transformed and restructured to fit Jira and ADO natively. Entity types, field mappings, and hierarchy all adapted to the target tool's model.

05

History Without Overload

Continuous access to historical data via the Archive Explorer, without any impact on ADO or Jira performance, storage costs, or user experience. The past is searchable, not forgotten.

06

Future-Ready Platform

The organization now operates on a modern, integrated DevOps toolchain with room to grow, aligned to Microsoft's roadmap and ready for the AI-assisted workflows being adopted across enterprise engineering.

10

Migration Roadmap

Past, Present & Next

Phase 1 — Foundation

  • Previous 600K artifact migration (Rally → ADO + qTest)
  • OpsHub relationship established and trusted
  • POC and pilot projects validated
  • OpsHub Data Bridge scope defined

Phase 2 — Full Migration

  • 470 Rally projects → 40–45 ADO projects complete
  • 91 projects → Jira complete
  • ~200K entities archived via Data Bridge
  • Jan 2026 deadline met
  • Teams live on ADO + Jira day one

Phase 3 — Optimization

  • Post-migration workflow tuning
  • ADO + Jira integration standardization
  • AI-assisted agile planning layer
  • Cross-team reporting and analytics
  • DevOps lifecycle automation

By combining enterprise-scale migration, phased execution, and intelligent data archiving, OpsHub helped this global organization move from Rally to Azure DevOps and Jira while keeping teams productive, data intact, and delivery on track.

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