Go services engineered the way Go rewards.
Performance-sensitive APIs, gateways, control planes and network tooling. Idiomatic Go that uses concurrency correctly, fails predictably and operates with very little ceremony.
The problem we solve
Go is at its best on workloads where latency, concurrency and operational simplicity matter — gateways, control planes, real-time fan-out, network and infrastructure code. It's at its worst when written like Java or Python by teams unfamiliar with idiomatic patterns. We've shipped Go in production for a decade and we know where the real wins are.
What we ship
- 01HTTP APIs with chi, Echo, Fiber or stdlib net/http
- 02gRPC services with buf, connect-go and protobuf discipline
- 03Concurrent pipelines using goroutines, channels and errgroups correctly
- 04High-throughput network services and proxies
- 05Control planes and operators for Kubernetes
- 06CLI tooling with Cobra and Bubble Tea
- 07Database access with sqlc, pgx and Ent
- 08Background workers and job queues with River or Asynq
- 09Performance profiling with pprof, trace and benchstat
- 10Observability with OpenTelemetry-Go and zerolog / slog
What you receive
- Idiomatic, vet-clean Go codebase with race-detector in CI
- Container image under 30 MB, ready for production
- Benchmark suite and profiling baseline
- Operational simplicity — Go services are easy to run
Stack we reach for
Ideal for
- → Teams whose Node / Python services hit CPU or memory walls
- → Infrastructure and platform engineering teams
- → Companies building gateways, proxies or control planes
- → Developer-tools companies shipping CLI binaries
- → Real-time fan-out and high-throughput workloads
How an engagement runs
- 01
Discovery & scope
Workload profile, latency / throughput targets, integration surface. Written architecture proposal.
- 02
Foundations
Project layout, dependency management, CI with race-detector, observability scaffolding.
- 03
Implementation
Service built in vertical slices with benchmarks gating performance regressions.
- 04
Profile & operate
pprof-driven optimization passes. Deployment, observability, runbook handoff.
How to engage
Go Audit
Code review, performance profile, architectural assessment with prioritized findings.
Greenfield Service
New Go service shipped end-to-end with documentation and benchmarks.
Performance Rescue
Existing Go service profiled, optimized and made operationally sound.
Embedded Go Team
Senior Go engineering inside your team, including review culture and mentorship.
Frequently asked.
01Should we rewrite our Node service in Go?
Rarely the right call as a first move. Most performance wins in Node come from fixing the database, caching correctly and removing N+1s. We will tell you when Go is actually warranted.
02REST or gRPC?
gRPC for service-to-service in a typed ecosystem. REST + OpenAPI for public surfaces and frontends. Connect-go gives you both from the same definition.
03Do you work alongside our existing Go team?
Yes — we frequently embed alongside an existing Go team to accelerate specific work or transfer practices through pairing and review.
Have a problem worth solving well?
Tell us the outcome you want. We'll tell you what it takes — honestly, within a week, in writing.
Start a conversation