What Go is chosen for
Go was created in response to a specific problem: large server-side programs were becoming too complex and slow to develop. So the language is deliberately simple, and its strengths are networking and concurrency. Typical use cases:
- an API hit simultaneously by tens of thousands of mobile apps or browsers;
- services that ingest and process event streams: orders, payments, logs, sensor data;
- gateways between a website, a mobile app and internal systems;
- notification, email and file generation services with lots of repetitive work;
- infrastructure and administration tools.
Advantages of Go
- Speed and efficiency. Go programs typically run much faster than Python and PHP and use noticeably less memory than Java equivalents. The same load requires fewer servers.
- Concurrency built into the language. Lightweight threads (goroutines) make it possible to serve thousands of connections at once without complex configuration.
- Simple deployment. A program compiles into a single file with no external dependencies. It's easy to put in a container, and the container stays small.
- Readable code. The language has few constructs and a single formatting standard, so code from different developers looks the same and is easier for newcomers to understand.
- A strong standard library. A web server, JSON handling, encryption and testing are built into the language itself, with no third-party packages.
Drawbacks of Go
- No "batteries-included" system. Unlike Django or Laravel, Go has no widely accepted framework with an admin panel, forms and user management. All of that is assembled from separate libraries or written from scratch.
- More boilerplate. The language's simplicity comes at a price: error handling and routine operations take more lines than in Python.
- A weak ecosystem for data and AI. There are few libraries for analytics and machine learning — Python has no competition here.
- Fewer specialists. Finding a Go developer is usually harder than finding a PHP or JavaScript developer, which is worth considering for long-term maintenance.
When Go is overkill
If you have a standard website, online store or customer portal with moderate traffic, Go's advantages won't pay off: development will take longer than with frameworks that offer ready-made modules. For real-time services where the team already writes the frontend in JavaScript, Node.js is often more convenient. And if data processing or machine learning is at the core of the product, Python is the better choice.
We often suggest a hybrid: the main system on a familiar framework, with Go only where speed is truly needed.
Go in an existing system
A common scenario for Go isn't a new product, but a bottleneck in a system that's already running. For example, a PHP site handles the catalog well but can't cope with traffic spikes during a sale on the checkout page or in the mobile app API.
In that case, we measure what exactly is slowing things down and move that part into a separate Go service. The rest of the system works as before, and the service connects via an API or queues. This relieves the load without the risk of rewriting everything at once, and you can see whether it made a difference.
This approach works well in reverse, too: if the Go service ever becomes unnecessary, it's easy to switch off without affecting the main system. You don't tie your entire product to a new technology.
Databases, caching and queues
Go services are usually paired with PostgreSQL for core data, Redis for caching and fast counters, and Kafka or RabbitMQ for queues. A fast service shouldn't be held back by a slow database, so alongside the code we optimize queries, indexes and the caching strategy.
We pay special attention to failure behavior. A service must gracefully handle an unavailable database or neighboring system: limit wait times, retry sensibly and avoid taking down the whole system in a chain reaction.
Deployment and observability
Go services naturally live in containers. We set up automated builds, tests and deployments — learn more on our CI/CD and containerization page. For multiple services we use Kubernetes; for one or two, a simpler setup is enough.
Without metrics, a high-load service is a black box. So from day one we collect data on request volume, latency, errors and memory usage, and set up alerts when something goes out of bounds.
What affects the cost
- Expected load: request volume, latency requirements, traffic spikes.
- Scope of logic: a simple gateway or a service with its own data, rules and calculations.
- Integration with the existing system: how much of the current code needs to change to connect the new service.
- Infrastructure: one server, several, Kubernetes, redundancy requirements.
- Monitoring and maintenance: whether you need on-call coverage and rapid incident response.
We start by proposing a small phase with measurements and a prototype: it shows whether Go will actually deliver the results you need before you invest in full development.
Frequently asked questions
Should we rewrite our entire website in Go? Almost never. Usually it's enough to move one or two parts that can't handle the load to Go.
Can you build a regular website with an admin panel in Go? Yes, but it costs more than with frameworks that already include an admin panel. Go is worth choosing for speed, not for typical websites.
Will it be hard to find developers for maintenance later? Harder than for PHP, but Go code is simple and consistent, so an experienced developer who knows another language picks it up quickly.
Do you support Go services written by other developers? Yes. We first review the code, the tests and how the service behaves under load, then propose a plan for fixes and updates.
Go or Node.js for an API? For heavy computation and maximum speed, Go is usually the pick; for fast development alongside a JavaScript team, Node.js. We'll advise after analyzing your project.
Why Promodex
We don't recommend Go because it's trendy: we first measure where the problem is and tell you whether a new language will make a real difference. Since 2015, Promodex has delivered 750+ projects of various scales, with 30+ in-house specialists who work on your project with no middlemen. Our terms are transparent, and after launch your high-load service isn't left unattended: we continue to support it.
