Every new feature risks the old ones
Boundaries were never drawn. We separate responsibilities so the next feature has somewhere to live.
// Scale
Architecture and scaling
Some products do not need a new team to start over. They need the original shortcuts taken seriously before growth makes them permanent.
We read the system that exists, name what will break, and change the parts that have to change.
Problems this work is for
The database is the bottleneck
Slow queries, missing indexes, and chatty APIs show up before a rewrite is justified. We start there.
One tenant can affect another
Isolation, backups, and a migration path matter once more than one customer depends on the product.
What you get
- A written read of the current system and its risks
- Data model and service boundaries
- Performance work: queries, caching, and cost
- Infrastructure changes that match the product
- A migration that can run while the product stays up, when that is the right move
How the work runs
01
Read before rewriting
We trace how data moves and where the product already fails under real use.
02
Change the smallest risky part
A rewrite is a last resort. Most of the time the fix is a boundary, a query, or a queue.
03
Leave it operable
Logs, backups, and a release path the current team can keep using.
Technologies
The usual tools for this work. The product picks the stack, not the other way around.
- PostgreSQL
- Redis
- Docker
- AWS
- Node.js
- TypeScript
Questions
Do you insist on rebuilding everything?
No. We extend what is sound and isolate what is not. A full rewrite has to earn its cost.
Can this start from an existing codebase?
Yes. Taking over a product that already has users is as normal as starting from zero.