Go Development Services

Why Go

Go (or Golang) is a compiled language created at Google for building simple, reliable and efficient software. It starts quickly, uses little memory, handles thousands of concurrent tasks with goroutines and compiles to a single binary that is easy to deploy in containers.

These qualities make Go popular for high-throughput APIs, microservices, networking tools and cloud infrastructure — Docker and Kubernetes themselves are written in Go.

When Go is the right choice

What we build with Go

Our Go toolkit

Cost efficiency in the cloud

Because Go services use little memory and CPU, they often run on smaller containers or fewer instances than equivalent services in other languages. For high-volume workloads, rewriting a hot path in Go can reduce infrastructure costs noticeably. We measure first, though — most performance problems come from databases and architecture rather than language choice.

Where Go fits — and where it does not

Go was designed at Google for building reliable networked services, and it excels at exactly that: APIs, proxies, command-line tools, data pipelines and infrastructure software. Kubernetes, Docker and Terraform are all written in Go, which says a lot about its suitability for cloud-native systems. Its single static binaries, fast start-up and low memory use make it cheap to run in containers and serverless platforms.

Go is less suited to rapid prototyping of data-heavy business applications, where Django, Laravel or Rails provide admin panels, ORMs and conventions out of the box. It is also not the natural home for machine learning, where Python dominates. Many of our clients use Go for performance-critical services alongside other languages for the rest of the product.

Go architecture we favour

• Standard library first — net/http and the improved routing in recent Go versions cover most API needs without heavy frameworks.
• Explicit dependencies passed through constructors, which keeps code testable without magic.
• Context everywhere for timeouts and cancellation across database calls and outbound requests.
• gRPC or REST depending on whether consumers are internal services or external clients.
• sqlc or pgx for type-safe, fast PostgreSQL access instead of heavyweight ORMs.
• Structured logging and OpenTelemetry so services are observable from the first deployment.

Concurrency done safely

Goroutines and channels make concurrent code easy to write, which also makes it easy to write subtle bugs. We use worker pools with bounded concurrency, errgroup for coordinated tasks, the race detector in CI and load tests that reveal contention before production does.

Typical Go projects

A targeted rewrite of one bottleneck is often more valuable — and far less risky — than rewriting an entire application in a new language.

Go versions and the module ecosystem

Go releases a new version roughly every six months, and each release is supported until two newer versions are out. The Go team takes backward compatibility seriously, so upgrading is usually straightforward: bump the version in go.mod, run the tests and fix any vet warnings. We keep services within the supported window as part of routine maintenance.

Go modules handle dependencies with checksums recorded in go.sum, and govulncheck reports known vulnerabilities that actually affect the code paths you call — far less noise than generic scanners.

Libraries and frameworks we use

Go culture favours small libraries and the standard library over large frameworks. We follow that: fewer dependencies mean fewer upgrades and fewer surprises.

Testing and performance tuning

• Table-driven tests with the standard testing package keep many cases readable
• Race detector (go test -race) in CI to catch concurrency bugs early
• Testcontainers for integration tests against real databases and brokers
• Benchmarks with go test -bench before and after optimisations
• pprof profiles for CPU, memory and goroutine leaks in staging and production
• Fuzz testing for parsers and input-handling code

We optimise only what profiling shows is slow. Most Go performance problems come from database queries, excessive allocations or unbounded goroutines — not the language itself.

Deploying Go services

Go compiles to a single static binary, which makes deployment simple. We package services in minimal container images — often distroless or scratch-based, only a few megabytes in size — which start in milliseconds and present a small attack surface.

• Multi-stage Docker builds with reproducible versions
• Health and readiness endpoints for Kubernetes or ECS
• Graceful shutdown that finishes in-flight requests
• Configuration through environment variables
• Metrics, traces and logs exported via OpenTelemetry
• Resource limits tuned from load tests

Go services often run on our Kubernetes and cloud-native platforms and fit naturally into microservices architectures.

Typical Go project scope and effort

Go projects tend to be focused services rather than large monolithic applications. The ranges below are typical and depend heavily on integrations, data volume and reliability requirements.

Typical ranges for planning only; we give a written estimate after discovery.

We usually recommend rewriting a hot path in Go only after profiling the existing service; often a database index or caching layer delivers most of the gain for a fraction of the cost.

Questions we ask before building in Go

• What latency, throughput and memory targets must the service meet?
• Which team will maintain it, and do they already know Go?
• What does the service need to talk to — databases, queues, other APIs?
• How will it be deployed, monitored and scaled?
• Is there an existing implementation whose behaviour must be matched exactly?
• How will we measure that the new service is an improvement?

The answers shape the architecture, the testing strategy and how the service is handed over to your team.

Work with us

Part of our backend technologies. Go is common in microservices and cloud-native systems.

This page is part of Backend Development Services — see the full overview for related services, approach and pricing.