How does OpsHub Integration Manager help integrate your tools of choice?

Siloed tools severely hinder cross-team collaboration and create compliance challenges. Break free from data siloes and easily maintain cross-system traceability across tools. Provide full context to make informed decisions that drive innovation.

How does OpsHub Migration Manager migrate data across platforms?

Risky, disruptive tool modernization is not an option for the future-ready enterprise. Undertake tool transition painlessly, with zero downtime and high data fidelity. Scale effortlessly to meet evolving business needs. Modernize without compromising on productivity.

How does OpsHub Data Bridge extract insights from your data?

Most analytics are not actionable and not grounded in data. Unify multiple data sources with history and domain-aware analytics. Leverage data-backed decision making to consistently exceed expectations.

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How to maintain data integrity during Jira Cloud migrations

This guide explains how to maintain data integrity during Jira Cloud migrations, and Jira migration in general, using Jira Cloud Migration Assistant (JCMA) with OpsHub Migration Manager (OMM). It covers what moves, where integrity breaks, the checks that keep data accurate, and how the two tools work together.

Modernizing Product Development by

Moving Off Legacy Platforms

Learn when and how to move off legacy ALM platforms like IBM DOORS and ELM while protecting traceability, history, and data.

Modernize your product developement

What this is

A live discussion with experts from SPK and Associates and OpsHub on what teams need to decide, plan, and protect as they move from aging ALM platforms to modern, cloud-ready tools.

The pressure is real. So is the migration risk.

Many organizations are already being pushed to modernize. The drivers are easy to recognize:

Vendor end-of-support dates for aging platforms
Growing technical debt and integration limitations
Security and cloud strategy requirements
AI initiatives that depend on connected engineering data

But legacy platforms hold years of customization, integrations, and compliance records, and that data is not easy to move.

One platform holds the requirements and work items.

Relationships between them provide the traceability.

History, attachments, and audit records provide the proof.

What breaks when agents work from fragmented data?

Broken traceability

Links between requirements and work items are lost, and the audit trail goes with them.

Lost history

Attachments, comments, and change history do not make it to the new platform.

Disrupted delivery

Cutover takes longer than planned and teams stall while they wait.

What we'll talk about

A practical path: discover, map, migrate, and retire…

The business and technical signals that a legacy ALM platform has reached the end of its useful life.
How end-of-support dates, technical debt, security, cloud strategy, and AI initiatives shape modernization decisions.
Your options for moving from legacy requirements, ALM, and project management tools to modern, cloud-based platforms.
How to choose between big-bang and phased migration and keep the business running during the transition.
How to preserve requirements, work items, relationships, history, attachments, and traceability.
Practical steps for discovery, data mapping, validation, migration, cutover, and retirement of the legacy environment.

Get practical guidance before your migration hits major roadblocks.

Join SPK and Associates & OpsHub for a conversation on how to modernize legacy ALM environments without losing the data your teams depend on.

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