Language
Go development
Go is a language chosen for software that has to be fast, steady, and cheap to run. We use it for back-end services, tools, and the plumbing that other systems depend on. It is not the answer to every problem, and we say where it is not.
- 1,200+ clients helped
- Building since 2010
- 15 services, one team
- 50+ technologies
At a glance
What it is
Go is a programming language made at Google for building fast, dependable server software. Its programs are small, start quickly, and handle many tasks at once.
Problems it solves
Teams building services that must be fast, stable, and cheap to run often find that other languages need more servers, more memory, or more careful tuning than the workload justifies.
Who it suits
Technical leads and product teams building high-traffic back ends, internal platforms, command-line tools, and infrastructure software.
How to choose
Choose Go for services where speed, low resource use, and simple deployment matter. Choose Python for data and AI, or Node.js when one language across screens and server is the priority.
What it means
A language that favors plain, predictable software
Go was designed to be easy to read, quick to compile, and good at doing many things at once. A Go program builds into a single file with no runtime to install. It starts in a fraction of a second and uses little memory, which lowers hosting cost for services that run all day.
Its design is deliberately small. There are fewer ways to write the same thing, so code written by different people looks alike. That makes large codebases easier to share and to inherit, which matters on projects that outlive their first authors.
The cost of that restraint is breadth. Go has fewer ready-made libraries than older languages for some areas, such as data science, and fewer people know it than know the most common languages.
What DECHY can do
Working with Go
Build
- Back-end services, which other programs call, designed for steady load.
- Command-line and automation tools.
Connect
- Services that join other systems reliably, with retries and queues.
- Adapters between older systems and newer ones.
Modernize
- Replacing a slow or costly service with a leaner one, piece by piece.
- Splitting a hard-to-change application into focused services.
Run
- Packaging in Docker and deploying to the cloud.
- Monitoring, alerts, and performance tuning.
How we build it
From a requirement to a service in production
Set the targets
We agree the load, response times, and running cost the service must meet, so success can be measured.
What it produces
- Targets
- Load profile
Build the thin version
A small working service first, with the riskiest part, such as an outside connection, proven early.
What it produces
- Working service
- Tests
Test under load
We run realistic traffic against it and tune before real users arrive.
What it produces
- Load results
- Tuning notes
Ship and watch
Deployment is automated, with health checks, alerts, and a plan for updates.
What it produces
- Pipeline
- Monitoring
Fit
Which jobs suit Go?
Go is strongest when the work is infrastructure-like. For product work with rich screens or data science, other languages usually serve better.
What are you building?
Choose this when
Many requests, steady response times, and a wish to run on fewer servers.
- What you get
- A lean service that handles load predictably and deploys as one file.
- Keep in mind
- Make sure your team can maintain Go, or plan for handover.
Choose this when
Command-line tools, build tools, and services that glue other systems together.
- What you get
- Single-file tools that run anywhere, with no setup on the user's machine.
- Keep in mind
- Keep the scope small. Go shines on focused tools.
Choose this when
Services that sit close to containers, networking, or monitoring.
- What you get
- Software in the same language as much of the cloud tooling it works with.
- Keep in mind
- Match the language of the tools you must extend.
Choose this when
Models, notebooks, and heavy numerical work.
- What you get
- A recommendation to use Python for that part, with Go serving the results.
- Keep in mind
- Do not force a language into work it was not made for.
Options
Go beside the other back-end languages
Go
This pageDoes best
Fast, steady services, small deployments, and infrastructure software.
- Trade-off
- Fewer libraries in some fields and a smaller hiring pool.
Does best
Data, automation, and AI, with the richest set of libraries.
- Trade-off
- Slower for heavy request handling without extra work.
Does best
Interactive products where one language spans screen and server.
- Trade-off
- Heavy computation blocks other requests unless moved elsewhere.
Does best
Large, long-lived enterprise systems with deep tooling.
- Trade-off
- More to configure and more memory to run.
Common questions
Questions about Go
Is Go better than Python or Node.js?
It is better for some jobs and worse for others. Go suits fast, steady services and tools. Python suits data and AI. Node.js suits teams that want one language across screens and server.
Will we be able to hire Go developers?
The pool is smaller than for the most common languages, but the language is simple, and capable developers pick it up quickly. We document the code and can provide ongoing care.
Can Go work with our existing systems?
Yes. It talks to databases, queues, and other services through standard interfaces, and often replaces one slow component without touching the rest.
Can you take over a Go service?
Yes. We begin with a review of the code, the tests, and the running costs, and then recommend what to keep and what to change.
Have a different question?
Tell us what you are weighing up and we will answer it plainly.
Ask a questionAlready a client? Email support@dechytech.com
Technical depth
How we build with Go
Our engineering choices on concurrency, structure and testing, operations, and dependencies, written for the people who will own the system after launch.
- Work is split into lightweight tasks that communicate through defined channels, so many requests share a service without tangled locks.
- We set timeouts and limits on every outside call, so a slow dependency cannot take the service down.
- Code is organized into small packages with clear boundaries, and interfaces are defined where behavior must be swappable.
- Tests run on every change, with benchmarks for the code on the hot path.
- Services expose health and metrics, log in a structured way, and shut down cleanly when asked.
- Builds are repeatable, and the result is a single signed file, which keeps deployment simple.
We keep third-party packages few and pinned, review them for known weaknesses on every build, and prefer the standard library where it is enough.
Tell us what the service must do and at what scale
Describe the workload, the traffic you expect, and who will maintain it. We will say whether Go is the right language and outline how we would build it.