Can Go replace part of our existing backend?

Yes, and that is how most Go adoption sensibly happens. One service that is struggling under load gets rewritten in Go and sits alongside everything else, communicating over HTTP or a queue. No rewrite of the whole system is required first.

Is it hard to hire Go developers?

The pool is smaller than for Node or Java, though the language is small enough that a capable backend developer picks it up quickly. In practice teams hire experienced engineers and let them learn Go rather than searching for Go specialists.

Does Go handle real-time features well?

Very well. Persistent connections cost little memory each, so a single Go service can hold a large number of them without the tuning other stacks need. It is a common choice for live updates, presence, and streaming at volume.

What do Golang development services cost?

Broadly the same day rate as our other backend work, though projects often run smaller in scope because Go suits focused services rather than large applications. We quote after a discovery call, itemized by service rather than as one lump number.

Golang
Development Services

Stateside Digitals provides Golang development services, building backend systems and APIs designed to handle serious load on modest infrastructure, and to keep doing it without much looking after.

Go is a compiled language built at Google for software that runs continuously and handles a great deal of traffic. It is deliberately small, with few ways to express any given idea, which makes Go code unusually consistent from one developer to the next and quick for someone new to read without a long introduction first.

For a business, the practical effects are efficiency and simplicity. A Go service uses a fraction of the memory a comparable application needs in most other languages, so the same traffic runs on smaller instances. It also compiles into one self-contained file, which removes an entire category of deployment problem involving runtimes and missing dependencies.

Ships As One File

No Runtime To Install

A Go service compiles to a single binary with nothing else required, so deployment stops depending on what is installed on the server.

Concurrency Made Cheap

Thousands Of Jobs, Little Memory

Go handles enormous numbers of simultaneous tasks without the memory cost that makes the same approach expensive elsewhere.

Starts Instantly

Built For Autoscaling

Startup measured in milliseconds means new capacity is serving traffic before a slower stack has finished loading its dependencies.

Microservices Backends

Small independent services with clear boundaries, where a low memory footprint per service is what keeps the total bill reasonable.

High-Throughput Services

Gateways, event processing, and ingestion pipelines moving large volumes continuously, where the difference between languages stops being theoretical and starts being billable.

Internal Platform Tools

Command line tools, deployment utilities, and agents your engineers run daily, distributed as one file with nothing to install.

The savings are in infrastructure. Go services typically run in tens of megabytes of memory where comparable applications need hundreds, start in milliseconds rather than seconds, and handle more concurrent work per instance than most alternatives. At scale that becomes fewer servers, smaller containers, and autoscaling that reacts before users notice.

The honest counterweight is development time. Go gives you far less scaffolding than Laravel or Django, so an ordinary business application with a lot of standard screens takes longer to build here than it would elsewhere. Go earns its place on services under real load. For a typical internal tool it is usually the wrong economics, and we will tell you that.

We lean on Go’s standard library first, adding chi or Gin for HTTP routing only where it earns the dependency. Data access runs through pgx and sqlc against PostgreSQL, with gRPC between services where the traffic justifies it. Containers stay small, metrics go out through OpenTelemetry to Prometheus, and deployment targets Kubernetes or a managed runtime on AWS or Google Cloud.

Go
chi
Gin
pgx
sqlc
PostgreSQL
gRPC
OpenTelemetry
Prometheus
Kubernetes
AWS
Google Cloud

Standard Library First

Few Dependencies By Choice

Benchmarked, Not Assumed

Readable For The Next Team

A dependency has to earn its place against what Go already ships with, which is usually more than people expect.

Fewer packages means fewer things that can go unmaintained, and a far shorter list to audit when a vulnerability is announced.

Performance claims come from measurements against your workload, because Go being fast in general says nothing about your particular bottleneck.

Go is deliberately small, and we keep the code that way, so whoever inherits the service can follow it without a handover call.

Standard Library First

Few Dependencies By Choice

Benchmarked, Not Assumed

Readable For The Next Team

Often not, and we would rather be direct. For an application that is mostly forms, records, and an admin area, Laravel or Django will get you there sooner for less. Go becomes the better answer when traffic, latency, or infrastructure cost start to matter.

Golang
Development Services