Services · Deploy
Stack and platform migration
Your database, framework or platform moved to a new stack, rehearsed first and verified row by row.
Moving from one database engine, language, framework or platform to another is rarely a rewrite and never a single switch. We map what you have, prove the target with a working slice of your real system, then move in stages. Every stage is rehearsed on a copy, compared against the original and reversible until you sign it off.
What you get
- A map of the current stack: code, schemas, queries, jobs, integrations and their owners
- A working proof on the target stack, built from a real slice of your system
- Schema and data conversion scripts with row counts and checksums compared
- Side-by-side runs where old and new handle the same requests and results are compared
- A staged cut-over plan with a rehearsed rollback for every stage
- Documentation and a hand-over so your team can run the new stack
How it works
- 01
Map
We read the code, schemas and running systems and list every dependency, including the ones nobody wrote down.
- 02
Prove
A real slice of your system runs on the target stack, measured against the original for correctness, speed and cost.
- 03
Move
Each stage is rehearsed on a copy, then switched in an agreed window while the old stack stays ready to resume.
- 04
Retire
Once the new stack has run cleanly for an agreed period, we hand over and decommission the old one.
Scope it now.
Answer a few questions and we prepare the email for you. Nothing is sent until you press send in your own email app.
Prefer to write freely? hello@clockborn.com
Questions
Which moves do you handle?
Database engines (for example Oracle or SQL Server to PostgreSQL), languages and frameworks (for example an old PHP or .NET Framework app to a current stack), and platforms (on-premises to cloud, one cloud to another, monolith to services). We recommend a target only after a working proof.
How do you know nothing was lost?
Every table is compared by row counts and checksums, and during side-by-side runs the old and new systems answer the same requests so differences show up before the switch.
Do we have to stop the business?
No. Data is kept in sync until cut-over, stages are switched in short agreed windows, and every stage has a rehearsed way back.