Go (Golang)
2 Min. reading time Programmiersprachen / Tools
Go—also known as Golang—is our technology of choice when it comes to high-performance, scalable, and robust backend systems. We specifically use Go in projects where efficiency, parallel processing, and reliability are key—such as APIs, high-load services, or data-intensive processes. As a complement to our JavaScript/TypeScript stack, Go delivers maximum speed and stability.
💼 Why We Use Go
- ✅ Maximum performance with low resource usage
- Go was developed by Google for high speed—it compiles directly to machine code, with extremely fast startup times and low CPU/RAM usage.
- ✅ Ideal for APIs & microservices
- Whether REST or GraphQL APIs: With Go, we develop lightweight, high-performance services that remain stable even with many concurrent users.
- ✅ Simple, clear syntax
- Go is intentionally minimalist—which makes code comprehension, readability, and maintainability easier, even in larger teams or when handing off projects.
- ✅ Built-in concurrency (goroutines)
- We use Go’s concurrency model to process multiple tasks simultaneously and efficiently—for example, parallel database access or background processes.
- ✅ Cross-platform deployments & CI/CD-friendly
- Go applications become standalone executables that can be deployed without a runtime or external dependencies—ideal for containers, microservices, and serverless architecture.
🧩 Where We Use Go
- Backend APIs for mobile and web apps
- Real-time data processing & streaming
- High-performance microservices (e.g., for payments, bookings, and shipping)
- Worker processes & cron jobs
- Server-side authentication & sessions
- Infrastructure tools, CLI, proxy services
Go is particularly well-suited for scenarios where Node.js reaches its system-imposed limits—e.g., with parallel processing or consistently high load.
❓ FAQ: Go in Our Development
When do you choose Go over JavaScript or Node.js? When a project requires high performance, parallel processes, or close integration with the system—e.g., for APIs with many concurrent users or time-critical workflows. For classic CRUD backends, Node.js is often still the ideal choice. Is Go also suitable for startups or MVPs? Absolutely—thanks to the language’s clarity and ease of deployment, Go makes sense even in MVPs when performance or scalability are important early on. How do you integrate Go into existing systems? We often run Go-based services in parallel with Node.js or Firebase backends—as microservices connected via REST or gRPC. How do you test and ensure the quality of Go code? We rely on automated tests, static code analysis, and CI/CD, often using tools like Go Test, Air, GolangCI-Lint, and GitHub Actions or Docker-based pipelines.