The workload
A Nigerian business analyses authorised images and needs repeatable predictions across a documented processing pipeline.
Run a fixed evaluation set on both deployments. Compare prediction behaviour and preprocessing before shifting routine workloads.
Inventory the source and destination
Record the computer-vision processing versions, data locations, access rules, scheduled jobs, integration endpoints and domain records. Confirm capacity and software compatibility on the destination. Keep the source recoverable until the destination has passed the agreed checks.
Run a fixed evaluation set on both deployments. Compare prediction behaviour and preprocessing before shifting routine workloads.
Rehearse before the live cutover
Preserve model version, configuration and necessary labelled evaluation data. Keep outputs linked to the input and model used to generate them.
Make a trial copy to an isolated target and run this acceptance check: A fixed evaluation batch produces reproducible results within the team's documented acceptance limits. Disable or redirect customer-facing notifications, payment actions and scheduled jobs during rehearsal so testing does not duplicate live work.
Control the final writes
Choose a documented write-freeze or synchronisation procedure suited to the application. Assign one person authority to begin the cutover. Track the final successful copy, the point when new writes are allowed and the single system responsible for background processing.
Validate traffic and business records
Check image resolution, batch throughput and model memory after the move, together with counts or reference records that demonstrate data consistency. DNS caches may continue sending some clients to the old endpoint, so observe both systems during the transition instead of assuming a record change is instant.
If the destination fails the business check, investigate the workload-specific failure path: Inspect image decoding, incompatible shapes and preprocessing changes. A prediction difference can come from the pipeline even when the model file is unchanged.
Define rollback before reopening
A rollback is straightforward only while the source still represents the authoritative data. Once the destination accepts writes, switching traffic back without reconciliation can discard new work. State the rollback deadline, the triggers and the procedure for preserving changes in advance.
For a Nigerian team, agree a maintenance window around actual working hours and customer demand. Verify access from the office and mobile networks, then retain the old environment according to a documented review and deletion schedule rather than an arbitrary promise of zero downtime.
Server migration worksheet
Use these prompts in your project notes. Replace general targets with measurements and an accountable owner.
| Decision | What to record |
|---|---|
| Workload cutover step | Run a fixed evaluation set on both deployments. Compare prediction behaviour and preprocessing before shifting routine workloads. |
| Authority during transition | One named environment accepts final writes and runs active jobs. |
| Validation evidence | A fixed evaluation batch produces reproducible results within the team's documented acceptance limits. |
| Rollback decision | Who decides, what failure triggers it, and how writes after cutover are reconciled. |
Can computer-vision processing move with no downtime?
That depends on the application, replication method and consistency requirements. A rehearsed maintenance window is often clearer than an unsupported zero-downtime promise. Estimate the final copy and validation time from a trial, then agree the interruption with the people affected.
Choose infrastructure around the workload
Compare current GPU VPS options and naira pricing. Confirm the server region, included services, operating-system compatibility, licensing and backup arrangements for the specific plan before ordering.
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