Go development services
Go is our choice for infrastructure and services where throughput, memory behaviour and a small deployable artifact matter more than language expressiveness.
Where we use Go
Go is part of the stack on these 3 services. Each page covers how we work, what you get and what it costs to start.
Go in practice
Go was designed to be small enough that unfamiliar code reads quickly, and to make concurrency approachable rather than expert-only. Goroutines and channels turn concurrent work into something a reviewer can follow, which is where most hand-rolled threading code quietly goes wrong.
The operational story is the other half. A Go service compiles to one static binary with no runtime to install, so container images are tiny and deployment is copying a file. On infrastructure where you run many small services, that combination of low memory use and trivial deployment compounds into real savings.
What we build with Go
Services handling sustained concurrent load, where the concurrency model does the heavy lifting instead of a thread-pool configuration file.
CLI tools, deployment helpers and agents that ship as a single static binary with nothing to install alongside it.
Ingestion services, webhook receivers and gateways where predictable latency under load is the requirement.
Is Go right for you?
Ask usA good fit when
- Services handling sustained concurrent load
- Infrastructure components, CLIs and agents
- Gateways, proxies and ingestion services with latency requirements
- Teams that value a small language a newcomer can read immediately
Probably not when
- Complex business domains where a richer type system helps
- Products needing a large library ecosystem for niche integrations
- Teams that would be learning it under deadline for no operational gain
What we run alongside Go
The rest of the setup, and why each piece is there. We keep this list short on purpose — every dependency is something someone has to maintain.
- Standard library
- Unusually complete. Most services need far fewer dependencies than in other ecosystems.
- chi or net/http
- Routing. Often the standard library alone is enough.
- sqlc or pgx
- Typed database access generated from real SQL, rather than an ORM abstraction.
- golangci-lint
- Aggregated linting in CI, which keeps a team’s Go consistent.
- Testcontainers
- Integration tests against real dependencies, not mocks that drift.
Why Go
Let’s talkConcurrency without ceremony
Goroutines and channels make concurrent work readable, which is where most hand-rolled threading code goes wrong.
One binary, no runtime
Deployment is copying a file, and container images stay tiny — which matters when you run many small services.
Deliberately small language
There are few ways to write the same thing, so unfamiliar Go code is unusually quick to read.
What we get called in to fix
Get a second opinionGoroutine leaks
Goroutines blocked forever on a channel, growing memory until a restart. Context cancellation is the discipline that prevents it.
Errors swallowed
Returned errors ignored, so failures surface later as bad data instead of as errors.
Over-abstracted code
Java patterns transplanted into Go, which fights the language rather than using it.
Unbounded concurrency
Spawning a goroutine per item until the database connection pool collapses. Worker pools and limits fix it.
Go or the alternative
The comparisons we are actually asked to make, answered the way we would answer them on a call.
Go for throughput, memory ceilings and single-binary deployment. Node for developer velocity and sharing a language with the frontend.
Rust for maximum control and no garbage collector. Go for a far shorter learning curve, which usually matters more for services.
Go for small, fast-starting services. Java for complex transactional domains with mature operational tooling.
Go works well with:
Python
AWS
Azure
Google Cloud
Java
JavaScript
Laravel
Node.js
React
Vue
AngularGot an idea? Let’s make it real.
Tell us the short version
This could be the first step towards a new and successful collaboration. A one-line idea and a finished spec are both fine — tell us the problem, the deadline you’re working to and what’s in your way.
Keep looking
Frequently asked questions
When sustained throughput, memory ceilings or a single-binary deployment matter more than sharing code with the frontend.
Yes — the language is small enough that a developer coming from another stack is productive quickly.
Often. Much of the cloud-native ecosystem is written in it, so extending that tooling means writing Go.
Sometimes, for complex domain modelling. For services it is mostly an asset — there are few ways to write the same thing, so code reviews are quick.
Frequently. A single static binary that runs anywhere is exactly what operational tooling wants to be.