infrastructure bill
Cut the cloud bill: your hottest services rewritten in Go and Rust
Your Java and Python services eat memory and machines that nobody has had time to question. Engineers with 25+ years in production rewrite the hot paths in Go or Rust in 30 days, and your next bill shows it.
Within 48 hours: a first saving estimate from your current bill, a fixed price and a start date.
A JVM fleet sized for peak memory and a nightly batch that runs until the morning shift arrives.
- Java servicesJVM heap per pod
- Python workersmany instances
- autoscalingpinned at max
- idle capacitypaid for
30 days from the first profile to the last cutover
The same services in Go and Rust on a fraction of the memory and fewer machines. The batch takes minutes.
- Go servicessmall footprint
- Rust hot pathbatch in minutes
- clusterright-sized
- billmeasured before · after
How the bill comes down
- 01days 1–3
Measure the bill
Cost per service, memory and CPU profiles under real load, and the length of every batch window. From that we pick the services that cost the most and write the saving we expect into the quote.
- 02days 2–6
Record the traffic
We capture production requests and responses at the service boundary. That recording becomes the test every rewritten service has to pass before it takes a single real request.
- 03days 5–24
Rewrite the hot paths
The platform makes the first translation into Go or Rust, and our engineers rewrite it for memory, concurrency and startup time. Each service is replayed against your traffic until the outputs match.
- 04days 22–30
Cut over and shrink
Traffic moves service by service, then the old instances are switched off and the cluster is resized. We measure the bill again and put both numbers side by side for your finance team.
What the platform does, what our engineers do
Reading every service and its call graph
Platform
Java, Kotlin, Python, Node and C#, every framework in the tree, and the config somebody set years ago.
Profiling memory, CPU and startup
Both
The platform collects the profiles under real load. An engineer reads them and finds where the money goes.
First translation into Go or Rust
Platform
Machine output, reviewed as a pull request like any other code your team would merge.
Rewriting for memory and concurrency
Engineer
Goroutines in place of thread pools, streaming in place of loading everything into the heap, Rust where every byte counts.
Parity against recorded traffic
Both
Capture and replay are ours. Your side signs off on any difference we find.
Right-sizing the cluster after cutover
Engineer
Fewer and smaller instances, and autoscaling limits reset to what the new code actually uses.
Every rewritten service passes the parity harness before it takes real traffic. Your users get the same answers faster, and you pay for less hardware.
Who rewrites your services
Our engineers have been shipping production code for more than 25 years, and they are the best people you can put on a service that costs too much to run. They have tuned JVMs, fought the Python GIL and chased Node memory leaks in production, then rewritten the same services in Go and Rust. The platform does the reading and the first translation. Our engineers decide where the memory goes.
The saving estimate is priced before we start. Every phase has a fixed price and a date in the contract, and a phase counts as done only when it passes parity on your traffic. The code is yours from the first commit.
Questions CTOs ask about the bill
How much will we actually save?
You see a first estimate within 48 hours of sending the bill and a list of services. By day 3 we have profiled them under real load, and the estimate is per service with the numbers behind it. After cutover we measure again and put both bills side by side. Get a quote today and the first number is yours on day 2.
Why rewrite when we could tune the JVM?
Tuning helps up to a point, and then every instance still carries the runtime, its garbage collector and its startup cost. A Go or Rust service drops that overhead and runs on a fraction of the memory. Where tuning is enough, the quote says so service by service. Ask for it now and see which of yours are worth rewriting.
Will the new services behave exactly like the old ones?
Yes. We record your production traffic and replay it against both versions. A service takes real traffic only when its outputs match, edge cases and odd rounding included, and your team signs off on every difference we find. Start with your most expensive service and watch it pass.
Our team writes Java. Who maintains the Go code?
Your team. Go is a small language and a Java engineer reads it within days. Every service arrives with tests and runbooks, your engineers review each one before cutover, and ours stay on call through the first days in production. Put the handover date in the contract today.
Is there downtime at cutover?
Traffic moves service by service through a routing layer, and the old instances keep running until the new ones have carried real load. Rollback is a switch agreed in advance. Your users see faster responses. Get a quote and pick the first service today.
Bring us the bill
Forward the latest cloud bill and a list of services today. Within 48 hours you have a saving estimate, a fixed price and a start date. In 30 days your hottest services run in Go or Rust on fewer machines, and the next bill proves it.
An engineer with 25+ years in production reads it and replies. NDA signed before you share anything.