Moxace
Built for Throughput. AI-Assisted Delivery.

Golang Development Services

AI-augmented Go development for systems measured in requests per second: our engineers build high-throughput APIs, microservices, and infrastructure tooling, with 60 days of support after launch.

2010
Operating since
9,000+
Projects delivered
3,900+
Apps published
120+
AI products shipped

Trusted by the brands we build for

  • Etihad
  • Heineken
  • Marvel Studios
/01
Since 2010
Building Software
/02
9,000+
Projects Delivered
/03
3,900+
Apps Published
/04
25+
Countries Served

What our golang development services cover

Systems programming for the server side, where concurrency and cost per request are the product.

service

High-throughput APIs

Go APIs that hold predictable latency under load, with context-aware handlers, connection pooling, and profiling evidence rather than throughput claims.

  • ✓net/http and chi or gin routing
  • ✓Load tested to numeric targets
  • ✓Graceful shutdown and drain
  • ✓p99 latency budgets in CI
service

Microservices and Event-driven systems

Small services with clear data ownership, communicating over queues and events, sized to your actual scale rather than a conference talk's architecture diagram.

  • ✓Domain-driven service boundaries
  • ✓NATS, Kafka, or RabbitMQ pipelines
  • ✓Idempotent consumers
  • ✓Outbox and saga patterns
service

Concurrency engineering

Goroutines and channels used with discipline: worker pools, backpressure, and cancellation trees that close cleanly, so concurrency is a feature and not a leak hunt.

  • ✓Context-based cancellation
  • ✓Bounded worker pools
  • ✓Race detector in CI
  • ✓Backpressure under load
service

Cloud-native and infrastructure tooling

Operators, controllers, sidecars, and CLIs in the language the cloud was written in, shipped as small static binaries that deploy anywhere.

  • ✓Kubernetes operators and controllers
  • ✓Single static binaries
  • ✓gRPC service meshes
  • ✓Cross-compilation pipelines
service

CLI tools and automation

Fast, distributable command-line tools for internal platforms and customer-facing dev tools, with the startup time and packaging story Go makes easy.

  • ✓Cobra-based CLIs
  • ✓Cross-platform builds
  • ✓Structured logging and exit codes
  • ✓Distributable via Homebrew or binaries
service

Go migration and rescue

Slow or fragile systems rewritten into Go where the numbers justify it, and existing Go codebases audited for the concurrency bugs static tests miss.

  • ✓Performance baseline and rewrite case
  • ✓Incremental strangler migration
  • ✓Race and leak remediation
  • ✓Observability retrofit

What every engagement includes

Every Go project ships with the following, agreed in writing before the first sprint begins.

Discovery workshop

A structured workshop maps your goals, users, and constraints into a scoped Go roadmap with a fixed written quote before any sprint starts.

Named senior team

You get named, senior engineers with CVs you can review, not a rotating bench. The people in the kickoff are the people who ship.

Sprint demos every two weeks

Working builds are demoed live each cycle with CI running on every merge, so progress is visible in software, not slideware.

100% source-code ownership

All Go source, configurations, designs, and documentation transfer to you on delivery with no licensing strings or vendor lock-in.

60 days of post-launch support

Engineering time is on standby for two months after go-live to triage defects, tune performance, and stabilise the release at no extra cost.

12 months of free updates

Compatibility updates, security patches, and framework upgrades ship free for a full year after handover.

insight

Where go is the right call

Go earns its keep on the infrastructure tier: API gateways, payment rails, realtime pipelines, and the services where cost per request and p99 latency are business metrics. Its simplicity also means Go codebases stay readable at year five, which your future team will thank you for.

Pair Go services with a Node.js development services front-of-stack when product iteration speed matters at the edge, or see our Rust development services page for the memory-safety-critical tier where Go's garbage collector is one compromise too far.

The stack behind our go builds

Default choices, and the reasoning, stated plainly.

/01

Language and runtime

Current Go with generics used sparingly and interface design kept small, because Go's culture of simplicity is a performance feature in itself.

/02

HTTP and RPC

net/http with chi or gin where middleware ecosystems help, gRPC with protobuf contracts for service-to-service traffic, and generated clients for every consumer.

/03

Data and messaging

PostgreSQL with pgx and sqlc for typed queries, Redis for hot paths, and NATS or Kafka for event flow, each justified by volume rather than fashion.

/04

Testing and quality

Table-driven tests, Testcontainers for integration, the race detector on every CI run, and load tests (k6 or vegeta) gating releases against stated targets.

/05

Deployment and observability

Distroless Docker images built in CI, Kubernetes deployments as needed, Prometheus metrics, structured logs, and OpenTelemetry tracing wired from the first deploy.

/06

AI integration

LLM-backed features behind typed Go clients with streaming, plus AI-assisted code review in our pipeline while senior engineers own concurrency design and every merge.

How a go project runs

Six stages with sign-off gates, shaped by throughput targets from day one.

pipeline
  1. 01

    Discovery

    Traffic volumes, latency targets, and scaling expectations captured as numbers in a workshop, ending in a fixed written quote with those targets written into the acceptance criteria.

    ✓ step 01 complete
  2. 02

    Contract and schema design

    API and event contracts, database schemas, and service boundaries designed and reviewed before implementation, so consumers build against mocks in parallel.

    ✓ step 02 complete
  3. 03

    Foundation sprint

    Repository, CI, observability, and deployment scaffolded first. A walking-skeleton service deploys to staging and serves real traffic shapes before feature work starts.

    ✓ step 03 complete
  4. 04

    Sprint delivery

    Two-week sprints with live demos. The race detector, static analysis, and the test suite gate every merge, and load tests run against staging each cycle.

    ✓ step 04 complete
  5. 05

    Load and hardening

    p99 latency and throughput proven against the discovery numbers with headroom documented, failure-mode drills run, and security review completed before launch.

    ✓ step 05 complete
  6. 06

    Support and handover

    60 days of included support, 12 months of free updates, and runbooks plus architecture records for the engineers who take the system after us.

    ✓ step 06 complete
/07

Why teams choose our go engineers

Go rewards engineers who respect its simplicity. Ours do, and the latency graphs show it.

Throughput proven, not claimed

We take your traffic targets as numbers and prove the system meets them under load before launch, with p99 latency and headroom written into the handover.

AI-augmented delivery

AI tooling accelerates tests, refactors, and review on our Go projects while senior engineers own concurrency design and every architectural decision.

Race-condition discipline

The race detector runs on every CI build and context cancellation is designed, not debugged, so the concurrency bugs that haunt Go teams rarely reach you.

Right-sized architecture

We will tell you three well-built services beat twenty half-built ones at your scale, and we act on it. Distributed systems you do not need are a tax.

Operational maturity

Metrics, traces, and structured logs ship with the first deploy, so production debugging is an afternoon rather than an archaeology project.

Track record since 2010

9,000+ projects delivered across 25+ countries, including high-throughput services running at real consumer scale.

Golang development FAQs

Go excels at high-throughput, low-latency services: API gateways, payment processing, realtime pipelines, and infrastructure tooling, especially where operational cost per request matters. For CRUD-heavy product backends with fast-changing requirements, heavier frameworks elsewhere can ship features faster. We recommend honestly at discovery based on your workload's actual shape.

$ moxace launch --now

Need a backend that holds under load?

Send us your traffic numbers and latency targets. We will scope a Go build that meets them, or tell you Go is not the answer.

launch.sequence3 steps
  1. 01

    Share your idea

    a quick call, no deck required

  2. 02

    See the live demo

    every screen, admin to user

  3. 03

    Launch with source

    full code, your brand, your servers

$ moxace launch --now

Ready for Services Built for Throughput?

Talk to our Go team about a fixed-scope, AI-augmented build with 60 days of support and full source-code ownership.

launch.sequence3 steps
  1. 01

    Share your idea

    a quick call, no deck required

  2. 02

    See the live demo

    every screen, admin to user

  3. 03

    Launch with source

    full code, your brand, your servers

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