Off the legacy stack without betting the company on a rewrite.
The big-bang rewrite is the most expensive way to modernize and the one with the worst success rate, because it asks you to run two systems, freeze features, and find out on cutover night whether you understood the old one. Everything here is built to be reversible: move a piece, run both, verify, then retire the old path.
This is for you if
- The system works, but only one person understands the part that breaks
- Infrastructure costs keep climbing and nobody can explain which workload is responsible
- Deploys are rare and frightening, so changes queue up behind each other
- You cannot answer basic questions about production because nothing is instrumented
It isn't, if
- The business logic is genuinely wrong. Modernizing it faithfully preserves the bug in a newer language.
- You want it done in one cutover to hit a date. We will not sell you the version of this that fails most often.
- Nobody internally can answer questions about the old system. We can work around gaps, not around total silence.
What actually happens.
- 01
Map it before touching it
What runs where, what depends on what, and which parts nobody has changed in years. Cost and risk get attached to each piece, which is what makes the order of work an argument about evidence.
- 02
Move the cheapest risky thing first
Not the biggest. The first migration is chosen so that the pattern gets proven and the rollback gets rehearsed on something whose failure is survivable.
- 03
Run both, then retire
New path alongside old, traffic shifted gradually, results compared. The old path is deleted only once the new one has been carrying real load, which is what removes the cutover night.
- 04
Leave it observable
Metrics, logs, traces, and CI/CD with a rollback that someone has actually used. The point is that the next change is routine rather than an event.
What you get
- Incremental migration off legacy stacks
- Scalability and performance work
- Infrastructure cost reduction
- Observability, CI/CD, and release safety
Built with
- Go
- Docker
- Kubernetes
- Terraform
- AWS
The outcome
Lower infrastructure spend, higher reliability, room to grow.
Legacy systems moved to the cloud without a rewrite-everything gamble and without a weekend of downtime.
Get a free consultationScope and a fixed price before anything is committed. No obligation to proceed.
No dark periods. No surprise invoices.
A structured engagement from the first call to launch, so you always know what is happening and what it costs.
Week 1 · Discovery
Scope & fixed price
Then, every week after
A working demo.
The ones people actually ask.
Will there be downtime?
The approach is designed to avoid it: pieces move one at a time with both paths live. Where a change genuinely cannot be done online — some schema migrations — we say so in advance and plan the window with you rather than discovering it.
Can you work with our existing team?
Yes, and on this kind of work it is usually better. They hold the context about why the old system does what it does, which is the expensive thing to rediscover.
Do we have to move to the cloud?
No. Sometimes the win is containerization, a CI pipeline and observability on the infrastructure you already have. We size the recommendation against your bill, not against a default answer.
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What is the most expensive thing your team still does by hand?
Tell us, and we'll tell you honestly whether software can fix it, and roughly what it would cost. No pitch deck.