Move the workload. Preserve the history.
Inventories source estates, maps compatibility, sequences migration, validates behavior, and controls cutover and rollback.
The context behind the work.
You preserve the information and behavior that teams depend on while changing the underlying platform. A successful migration includes validation, consumer compatibility, operational ownership, and an explicit decision about what remains outside the scope.
Import historical experiments and model records
Inventory the source and run a scoped rehearsal. Compare representative runs, artifacts, and counts, document exceptions, and agree the remaining work before expanding the import.
Move a production consumer to the new platform
Review the client integration and required model or prompt stages. Validate the new path with the application owner, agree the cutover and recovery conditions, and record the final decision.
A practical path from task to outcome.
Migrate a selected workload while retaining the records needed to validate the result.
- 01
Assess needs and evidence
Inventory the source experiments, models, dependencies, and application integration points.
- 02
Migrate in controlled stages
Run a scoped dry run and review the import report and compatibility assumptions.
- 03
Validate the result
Import the agreed scope and compare counts, artifacts, and representative results against the source.
- 04
Release with evidence
Re-establish required release stages, validate consumers, and complete the cutover with a recovery plan.
A migration record with validation evidence, exceptions, and a cutover decision.
Less repeated effort. More useful work.
Explore the habits and platform connections that can make this role easier, more consistent, and easier to collaborate with.
Large migrations with an unclear scope
Start with an inventory and a bounded rehearsal.
Lost confidence in migrated history
Keep a validation record that compares the source and destination.
Unexpected application changes at cutover
Review client compatibility and dependent releases before the final handoff.
Measure your own improvement
Choose a baseline before you begin. Review these signals with your team; results depend on your data, process, and implementation.
- Migration exceptions found during rehearsal
- Time to reconcile the migrated workload with its source
Build confidence with a first task.
Migrate a selected workload while retaining the records needed to validate the result.
Use AI with judgment
Use AI to summarize migration exceptions; verify artifact integrity and compatibility with repeatable checks.
Your practice checklist
0 / 4 completeThe right surfaces. The right people.
Continue into the product, deepen your knowledge, or follow the next role in the handoff.
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Bring your own workflow.
Explore how these practices could fit your team, your data, and your operating requirements.