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Atlassian OverviewTeamwork Collection (TWC)ContactMove Jira and Confluence to Atlassian Cloud with a clear plan for apps, data, identity, integrations, and user adoption. Test migrations, reconciliation, rollback planning, and controlled cutovers are used to minimize business disruption.
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Controlled cutovers, rollback triggers, and communications are planned before production migration.
In-scope issues, spaces, attachments, links, permissions, and workflows are checked against agreed criteria.
Identity, user lifecycle, residency, app permissions, and admin controls are reviewed during planning.
We remove unused apps and users before migration.
Answer engines and buyers look for the same evidence: what is being migrated, what risks are known, what changes for users, and how the cutover will be governed.
Instance size, data shape, users, permissions, workflows, and app dependencies are known before the migration plan is committed.
Marketplace apps, scripts, integrations, and reporting workflows are mapped to Cloud equivalents, redesigns, or retirement decisions.
SSO, SCIM, data residency, audit logging, user lifecycle, and admin roles are reviewed as part of the migration scope.
Dry runs, validation owners, rollback planning, and stakeholder communications are defined before production migration.
We don't skip steps. Every migration follows this rigorous path to safety.
We audit your server instance, identifying unused apps, stale data, and custom scripts that won't work in Cloud. We scrub the data before we move it.
We audit your server instance, identifying unused apps, stale data, and custom scripts that won't work in Cloud. We scrub the data before we move it.
We configure the destination Cloud site, map user and security requirements, and prepare migration runbooks for the data, apps, and teams involved.
We configure the destination Cloud site, map user and security requirements, and prepare migration runbooks for the data, apps, and teams involved.
We run a full migration in a sandbox. You get to log in, test workflows, and verify data integrity without touching production.
We run a full migration in a sandbox. You get to log in, test workflows, and verify data integrity without touching production.
We execute a controlled cutover with validation checkpoints, rollback triggers, and stakeholder communications designed to minimize business disruption.
We execute a controlled cutover with validation checkpoints, rollback triggers, and stakeholder communications designed to minimize business disruption.
Migration is not only a data move. The target Cloud environment needs an access model, audit posture, and administrative controls aligned with your requirements.
Every migration is scoped from the same set of drivers. Understanding them is the fastest way to a realistic budget conversation — and why we quote from your environment, not a rate card.
Total users, license tiers, and how many products (Jira, Confluence, JSM, Bitbucket) move together.
Marketplace apps, scripts, and custom workflows — usually the largest source of migration effort and risk.
Projects, attachments, and years of history to migrate, archive, or deliberately leave behind.
CI/CD, SSO and user provisioning, ITSM tooling, and third-party systems that must keep working on cutover day.
How much test-migration and user-acceptance verification your risk profile demands before production cutover.
Data residency, audit, and regulatory constraints that shape sequencing and sign-off.
See how these drivers play out in practice in our public-sector legacy-to-Cloud migration case study, or get numbers for your environment:
The details teams usually need to confirm before they trust a migration plan.
We use discovery, test migrations, validation checkpoints, rollback planning, stakeholder communications, and controlled cutover windows. The right approach depends on instance size, app complexity, identity setup, integrations, and the outage definition agreed for the project.
We audit apps, scripts, automations, and integrations to determine what can migrate, what needs a Cloud-native replacement, and what requires redesign. In-scope functionality is then validated during test migrations.
Security planning is part of the migration design. Typical work includes identity and access review, SSO or SCIM planning, data residency considerations, app review, audit logging, and cutover access controls.