Go Development

We build high-performance services, data pipelines, and backend systems in Go. When throughput, latency, and reliability are the constraints that matter, Go is our tool of choice — and we know how to use it well.

Services

Go expertise across the full backend spectrum

01

High-Performance APIs

REST and gRPC APIs built for high concurrency and low latency — architected to scale horizontally without sacrificing predictability or maintainability

02

Data Streaming & Processing

Real-time pipelines that ingest, transform, and persist large volumes of structured data through streaming rather than batch-heavy workflows

03

Microservices

Lightweight, fast-starting services with minimal resource footprint — ideal for containerized environments where startup time and memory usage matter

04

CLI Tools & Automation

Developer tools, data migration scripts, and operational automation that ship as a single binary with zero runtime dependencies

05

System Integration

Reliable connectors and adapters between disparate systems — handling protocol translation, data transformation, and error recovery at scale

06

Performance Migration

Rewriting bottleneck services from Python, PHP, or Node.js to Go when the existing solution can no longer meet throughput or latency requirements

Why Go

The language built for modern backend challenges

Built for Concurrency

Goroutines and channels make concurrent work straightforward to write and reason about — without the complexity of threads or callback hell.

Predictable Performance

Go's runtime delivers consistent, low-latency execution with efficient memory use. No JVM warm-up, no GC pauses that surprise you in production.

Single Binary Deployment

Compiles to a self-contained binary with no runtime dependencies. Deployment is as simple as copying a file — ideal for containers and edge environments.

Fast Startup

Services start in milliseconds, making Go a natural fit for microservices, serverless functions, and CLI tools where startup overhead matters.

Rich Standard Library

HTTP, JSON, cryptography, testing — the standard library covers most needs without pulling in a framework. Less dependency surface means fewer surprises.

Readable & Maintainable

Go's simplicity is a feature. New team members understand the codebase quickly, and the compiler catches errors that other languages would miss at runtime.

Technical Capabilities

Deep Go expertise across backend domains

REST & gRPC API development
Concurrent data processing pipelines
Real-time streaming with low latency
XML, JSON, CSV data transformation
PostgreSQL, Redis, Kafka integration
CLI tool & automation development
Docker & Kubernetes deployment
Performance profiling & benchmarking
Event-driven architecture
Worker pools & job queues
OpenAPI & Protobuf schema design
Observability — metrics, tracing, logging

Our Process

From problem to production-ready Go service

01

Problem Definition

We start by understanding the actual constraints — throughput requirements, latency budgets, data volumes — and validate that Go is the right tool for the job before writing a line of code.

02

Architecture

We design the service boundaries, data flow, concurrency model, and integration points. The right architecture prevents most performance problems before they appear.

03

Implementation

Idiomatic, well-tested Go code with a focus on simplicity and correctness. We write benchmarks alongside unit tests so performance regressions surface early.

04

Load Testing & Profiling

We validate the service under realistic load, use pprof to find bottlenecks, and iterate until it meets the agreed latency and throughput targets.

05

Deployment & Observability

Containerized deployment with structured logging, Prometheus metrics, and distributed tracing — so you have full visibility into the service from day one in production.

Why Choose Us

A Go team that ships production-ready systems

Proven Go experience on real production workloads
Deep understanding of Go concurrency patterns and pitfalls
Performance benchmarking and profiling as part of every delivery
Clean, idiomatic code your team can maintain long-term
Experience integrating Go services into broader ecosystems
Long-term support and iterative optimization

Success Story

Real results from our Go projects

Real-Time XML Data Pipeline for Affiliana

Built a high-performance data processing pipeline in Go for Affiliana, designed to ingest and process large XML feeds through streaming rather than batch-heavy workflows. By leveraging Go's concurrency model, the system parses multiple inputs efficiently, transforms structured records, and persists them into PostgreSQL with reliable indexing for fast retrieval. The result was near real-time data availability, scalable search, and accurate record pairing — delivered in 6 months by a single developer.

Near real-time
Data availability for search and record matching
6 months
From concept to production-ready pipeline
Single binary
Zero runtime dependencies, simple deployment

Technology Stack

The tools we pair with Go

Go 1.22+
PostgreSQL
Redis
Kafka
gRPC
REST
Protobuf
Docker
Kubernetes
Prometheus
OpenTelemetry
GitLab CI

Build Something Fast

If you have a backend problem where performance, concurrency, or deployment simplicity are the constraints that matter, let's talk. We'll help you figure out whether Go is the right fit and how to approach it.

Get in touch