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Go developers for platforms that serve millions

Go is our preferred backend language. We use it to build large-scale platforms — DNS infrastructure answering over a billion requests a day, device management for entire fleets, and real-time video for secure environments.

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What we do

Large-scale backend engineering in Go

Go has been our preferred backend language for years, for a simple reason: it lets a small senior team build systems that behave like they were built by a much bigger one. It compiles to a single fast binary, its concurrency model suits network-heavy workloads, and it stays readable as a codebase grows. Boring, in the best possible way.

We reach for Go when the requirement is scale or reliability. Our ArkDNS platform answers more than a billion DNS requests a day on Go services we wrote and operate ourselves. We built a mobile device management solution on the Android Management API, controlling entire fleets of devices in the field. And for clients operating in secure environments, we built a video calling solution that routes WebRTC over our own media servers, because off-the-shelf infrastructure could not meet the constraints.

Those are the problems Go was designed for — and the problems we enjoy. If your platform needs to serve millions of users, move serious traffic, or simply never fall over, Go is usually our answer, and we can show you running systems to back that up.

Capabilities

Go development capabilities

  • Backend platforms & APIs

    Core product backends and REST or gRPC APIs designed for sustained growth — clean service boundaries, instrumentation and deployment pipelines included.

  • High-throughput network services

    DNS, proxies and custom protocol servers. Our own Go-based DNS platform answers more than a billion requests a day.

  • Real-time video & WebRTC

    Video calling routed over our own media servers — built for secure environments where third-party infrastructure is not an option.

  • Mobile device management

    Fleet control built on the Android Management API — enrolment, policy, monitoring and lockdown for devices in the field.

  • Concurrency & performance engineering

    Profiling, load testing and tuning for Go services that need predictable latency under real production traffic.

  • Operations & reliability

    We run what we build — metrics, alerting, capacity planning and deployment automation come as standard, not as extras.

Why Silverark

Why Silverark for Go

01

Proven at a billion requests a day

This is not aspirational scale. ArkDNS, our cloud DNS platform, answers over a billion requests a day on Go services we wrote and operate ourselves.

02

Hard problems welcomed

Device fleets on the Android Management API, WebRTC through locked-down networks — we take on the projects where off-the-shelf answers run out.

03

We operate what we ship

Our own platforms run around the clock, so we design for the 3am incident that never happens — observability and graceful failure are built in.

04

A small, senior team

Every Go service we deliver is written by experienced engineers you can talk to directly — the same people who will stand behind it in production.

Proof

Related case studies

ArkDNS

Cloud DNS with protection and filtering, answering more than a billion requests a day on our own Go infrastructure.

Read the case study

FAQ

Go development — common questions

Why do you prefer Go for backend development?
Go lets a small senior team build systems that behave like they were built by a much bigger one. It compiles to a single fast binary, its concurrency model suits network-heavy workloads, and it stays readable as codebases grow. For platforms that have to scale and stay up, it is consistently the right tool.
What scale have your Go platforms reached?
Our ArkDNS platform answers more than a billion DNS requests a day, and across our platforms we serve millions of active users. We are comfortable designing for that scale because we operate at it daily.
Can you take over or scale an existing Go codebase?
Yes. We audit the service, add the missing observability, profile it under realistic load and then fix what the data says needs fixing — whether that is architecture, queries or deployment.
Should we migrate from PHP, Python or Node.js to Go?
Sometimes — but not by default. We usually recommend carving out the performance-critical paths into Go services first and measuring the gain, rather than a big-bang rewrite. If a migration will not pay for itself, we will say so.
Do you build real-time systems in Go?
Yes. We built a video calling solution for secure environments that routes WebRTC over our own Go media servers, and we regularly build streaming, messaging and event-driven systems where latency matters.

Building something that has to scale?

Tell us what your platform needs to handle. We will show you working Go systems that already handle more.

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