Most backends don't fail because the idea was wrong. They fail because they were built to ship an MVP, not to carry real traffic. Then the users arrive, the response times climb, and every fix means another instance on the bill.
We're a senior Golang development agency. We build high-performance microservices that sustain 10k–100k requests per second, hold their latency under load, and cut infrastructure spend by up to 70% versus an over-provisioned monolith. No juniors learning on your system. No mystery code left behind.
Go is the right tool for this work: a tiny memory footprint, real concurrency, fast cold starts, and binaries that deploy clean on Kubernetes. Paired with PostgreSQL and Redis, it gives you a backend that scales horizontally instead of forcing you to keep buying bigger machines.
What you actually get.
Throughput your current stack can't reach, proven with load tests before launch.
Lower infrastructure spend by replacing over-provisioned instances with efficient Go services.
Unit and integration tests ship with the code, so you can change it without fear.
How we deliver it.
Profile the bottleneck
We measure where your current system actually breaks (CPU, I/O, locking, N+1 queries) instead of guessing. You get the numbers, not opinions.
Design the service boundaries
We split the system along real domain lines, define clean APIs, and pick what stays shared (databases, caches, messaging) versus what gets isolated.
Build in Go, test under load
We write idiomatic Go with PostgreSQL and Redis, then run load tests to prove the throughput and latency targets hold before anything ships.
Deploy on Kubernetes & hand off
Containerized, autoscaled, observable. You get docs, dashboards, and a clean handoff, not a black box.
The stack we use.
Proven tools, chosen for the outcome — not the resume.
Real builds, real results.
See how this work has played out for teams we've shipped for.
Questions teams ask before booking.
Go compiles to a single binary, uses very little memory, and handles thousands of concurrent connections with goroutines instead of an event loop you can saturate. For CPU- and concurrency-heavy backends serving 10k–100k req/sec, it consistently delivers higher throughput at lower infrastructure cost than interpreted runtimes.
No. We carve the highest-pressure services out of your existing system first, run them alongside the old code, and migrate traffic gradually. You get wins early without a risky big-bang rewrite.
We load test before launch. You see the throughput and latency under realistic traffic, on your infrastructure, before the service handles a single real user.
Most engagements start with a 1–2 week discovery and proof of concept, then move into two-week build sprints. Scope and price depend on how many services we're building and migrating. You'll get a straight, fixed estimate on the discovery call before any commitment.
You do. Everything lives in your repositories, with documentation and a clean handoff. We're a senior backend partner, not a body shop that holds your system hostage.