Move 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.
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.
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.