Backend
Go Services That Stay Fast
We build Go backends where throughput, low latency and operational simplicity matter: APIs, microservices, workers and cloud tooling that compile to a single binary.
Overview
Golang
Go is a statically typed, compiled language created for networked services. Goroutines and channels make concurrency approachable, the standard library covers HTTP, JSON and testing well, and builds produce a single self-contained binary that is simple to containerize and deploy. These traits make it popular for APIs, command-line tools and cloud infrastructure software.
We use Go for services that need predictable performance and low resource use, such as high-traffic APIs, data processing workers and infrastructure tooling. We favor small interfaces, explicit error handling and idiomatic project layout, and we back services with benchmarks, tests and observability so behavior under load is known, not guessed.
Context
Why teams choose it
- 01
Built-in concurrency
Goroutines make handling many simultaneous tasks straightforward without complex threading code.
- 02
Fast and lightweight
Compiled binaries start quickly and use modest memory, which keeps infrastructure costs reasonable.
- 03
Simple deployment
One static binary means small container images and fewer runtime surprises.
- 04
Readable by design
A deliberately small language keeps code consistent across developers and over time.
Capabilities
What we build with it
- 01
High-throughput APIs
REST and gRPC services designed for low latency and clear contracts.
- 02
Microservices
Independently deployable services with messaging, retries and health checks.
- 03
Background workers
Queue consumers, schedulers and data-processing pipelines using concurrent workers.
- 04
Cloud-native tooling
CLIs, operators and infrastructure utilities that integrate with Kubernetes and cloud APIs.
- 05
Rewrites of hot paths
We move performance-critical components from slower runtimes to Go while keeping the rest of your system intact.
- 06
Profiling and maintenance
pprof-based tuning, dependency updates and Go version upgrades.
Typical projects
- High-traffic public APIs
- Event and message processing
- Real-time data ingestion
- Internal developer tooling
- Network and infrastructure services
Ecosystem & tooling
- gRPC
- Gin
- Echo
- GORM
- PostgreSQL
- Kafka
- Docker
- Kubernetes
Approach
How we work with it
- 1
Assess
We review your goals and any existing code to decide where this technology fits best.
- 2
Architect
We plan structure, integrations, data flow and hosting before writing production code.
- 3
Build
Features ship in small, reviewed increments with automated checks along the way.
- 4
Release & maintain
We deploy, monitor and keep dependencies and versions up to date.
FAQs
Common questions
Have a question that is not covered here? Get in touch.
When should we choose Go over Node.js or Python?
Go is a strong fit when you need high concurrency, consistent latency and small deployable binaries. Node.js and Python often win on ecosystem breadth and speed of prototyping, so the right choice depends on the workload.
Do you use a web framework or the standard library?
Go's standard library is capable on its own, and we often use it with a lightweight router. For larger APIs we may add Gin, Echo or Chi to cut boilerplate.
Can Go work alongside our existing stack?
Yes. Go services typically sit beside existing systems and communicate over REST, gRPC or message queues, which lets you adopt it for one component at a time.
Is Go good for building full web applications?
It works well for APIs and backend services. For rich user interfaces we usually pair a Go backend with a separate frontend such as React or Vue.
Let's build what's next
Tell us about your idea, product or legacy system. Send us a message and we will help you scope the right next step.