Move live systems without losing data or control.
I plan and execute cloud, database, provider, application, and account handovers with data preservation, cutover, rollback, and post-migration verification.
15 minutes · scope and risk check · clear yes or no after the callWhat a migration covers
One clearly scoped move at a time, with data, access, and rollback settled before production changes.
- Live data and production database migrations
- GCP, Firebase, and GKE moves, and cloud-account handovers
- Terraform state, CI/CD, secrets, identity, and provider ownership transitions
- Backfills, cutovers, rollback plans, and post-migration verification
- Documentation and operational handover
Plan, rehearse, cut over, verify
Every migration is planned as a production change — rehearsed first, with a rollback point and explicit verification.
Map and plan
We inventory the systems, data, accounts, and integrations that move, and agree the source of truth, the cutover order, the rollback point, and what “verified” means — before anything changes.
Rehearse
We rehearse the migration against a full export or staging copy, then fix mapping, deduplication, and integrity problems before the production cutover.
Cut over
We follow a written runbook: take a snapshot, migrate in batches, and keep the legacy system recoverable until the new one passes verification.
Verify and hand over
We compare record counts, referential integrity, and business invariants with the source, then hand over the accounts, keys, runbooks, and operating notes.
A live migration, executed end to end
First-hand engineering proof — not a client case study.
XPMaps: full platform and data migration to GKE
I replatformed XPMaps, a live routing and permitting product, from a React/Vite frontend and NestJS backend running on DigitalOcean with Azure Cosmos DB (MongoDB API), to a Next.js frontend and FastAPI backend on GKE Autopilot with Cloud SQL PostgreSQL, Google Cloud Storage, and a self-hosted Valhalla routing engine.
The data migration moved accounts, users, orders, payment records, and route geometry from MongoDB to PostgreSQL with explicit field mappings and dedup rules, rehearsed end-to-end against a full production export before cutover. Cross-system checks covered foreign-key integrity, per-account admin presence, soft-delete preservation, and file-path cleanliness, executed from written runbooks with pre-migration database snapshots and a defined rollback point.
Google Cloud Professional Cloud DevOps Engineer
Certified by Google Cloud. Verify on Credly.
Verify on Credly →ClearWIP production infrastructure
ClearWIP runs on GCP with deployment, monitoring, backups, and recovery in place — the same operating concerns a migration has to preserve.
Visit clearwip.com →Is this the right service?
A quick self-check before the call.
Good fit
- You have a live system, database, or cloud account that must move without losing data.
- You need infrastructure ownership transferred cleanly from a provider, agency, or previous team.
- Your payments, customer records, or operational data make correctness non-negotiable.
- You have a deadline with a real consequence — contract end, provider shutdown, cost pressure, or compliance.
Not a fit
- You are deploying something new with nothing to migrate — the product-build service fits better.
- You are moving a static site with no data, users, or state at risk.
- Source-system access isn’t available.
- You want an open-ended “modernize everything” effort with no clear first move.
Common migration questions
Can you take over a GCP or Firebase project from a previous developer or agency?
Yes. Cloud-account and Firebase handovers — billing, IAM, service accounts, Terraform state, CI/CD, secrets, and DNS — are in scope. When I finish, ownership, access, and deployment all work without the previous party.
How do you keep data safe during a production database migration?
I snapshot before touching anything, rehearse against a full export first, migrate with explicit field mappings and dedup rules, and verify counts, foreign-key integrity, and business invariants against the source after cutover. Your legacy system stays recoverable until verification passes.
Will there be downtime?
That depends on your system and the cutover design — I won’t promise zero downtime up front. The written plan tells you the expected window, what stays read-only during it, and the rollback point if verification fails.
What do you need to start?
Read access to the source environment, the target account or a plan to create it, and someone who can approve the cutover window and rollback rules. We exchange credentials through a proper secrets channel, never over email.
Do you handle the financial data in a migration?
Yes — payment records, invoices, and customer data are usually the reason the migration needs this level of care. Financial-data mapping and reconciliation are also the core of my primary integration-repair work.
Tell me what is moving, from where, and by when
We’ll spend 15 minutes on the current platform, the target, and your deadline. You’ll leave knowing whether I can take the migration on, the main risk, and what happens next.