Where Go is the right tool
Go is built for backend services: it compiles to a single static binary, handles thousands of concurrent connections without ceremony, and stays readable as a team grows. We use it where throughput, simplicity, and fast iteration all matter.
- REST and gRPC APIs
- Microservices and service meshes
- Control planes and orchestration services
- High-concurrency network services and workers
- CLIs and internal tooling that ship as a single binary
- Integrations and data pipelines
How we build in Go
A clean, layered architecture with explicit error handling and concurrency used deliberately. Idiomatic Go that the next engineer can read.
- 1
Design
We model the domain and the service boundaries, and agree the API contract before building.
- 2
Idiomatic build
A layered architecture with clear boundaries, explicit error handling, and structured logging.
- 3
Concurrency where it counts
Goroutines and channels used deliberately, with the race detector on and contention measured, not assumed.
- 4
Test & benchmark
Table-driven tests, integration coverage against a real database, and benchmarks for the hot paths.
- 5
Ship & operate
A single static binary, containerised, with health checks and metrics so it's easy to run.
- An idiomatic Go codebase with a clean, layered architecture
- A documented API contract (REST or gRPC)
- Table-driven tests and integration coverage
- Benchmarks for the performance-critical paths
- A containerised build with health checks and metrics
- Documentation and a handover for your engineers
The Go toolchain
Standard library first, and a small set of well-maintained dependencies your team can own after handover.
Go development questions
When should I choose Go over Node.js or Python?
Go is a strong fit for backend services that need to handle a lot of concurrent work, compile to a single deployable binary, and stay fast and simple as the team grows. Node.js wins when you want one language across front-end and back-end; Python wins for data and ML work. We'll recommend the one that fits your team and workload, not the one we happen to like.
Is Go good for microservices?
Very. Small static binaries, fast startup, first-class concurrency and a solid gRPC and HTTP story make Go a natural choice for microservices. That said, microservices add operational complexity, and we'll help you decide whether you need them or whether a well-structured single service is simpler.
Can you work in our existing Go codebase?
Yes. We review the current structure, tests, and trouble spots, then extend or refactor it idiomatically. We follow the conventions your team already uses rather than imposing our own.
How do you handle concurrency safely?
Deliberately. We use goroutines and channels where they help, run the race detector in CI, and measure contention rather than guessing. Concurrency bugs are notoriously subtle, so we lean on the tooling and on review to keep them out.