Go Development
Go Backend Development
High-throughput APIs, microservices, and event-driven systems built with Go. Predictable latency, low infrastructure cost, and the concurrency model that makes Go the right choice for services that need to handle real load.
UN
Go service: UN Global Compact
150+
Projects delivered
8+
Years backend
90%+
Client satisfaction
Use Cases
What We Build with Go
High-throughput REST and gRPC APIs
Go handles thousands of concurrent requests per pod without the GC pauses you get in JVM or Node.js. We build APIs with standard library net/http, Chi, or Gin depending on the complexity, and gRPC for internal service-to-service communication.
Microservices and event-driven systems
Go services that publish and consume from Kafka, SQS, or SNS. Small binary size, fast startup, low memory footprint. Right for services that need to scale independently without carrying the overhead of a heavier runtime.
AWS Lambda with Go runtime
Go cold starts on Lambda are measured in milliseconds. We build Lambda functions for event processing, scheduled jobs, and lightweight API handlers that do not justify a full service. Deployed via SAM or Terraform.
CLI tools and internal automation
Go produces single self-contained binaries. Internal tooling, deployment scripts, and automation jobs that need to run reliably on any machine without a runtime install. Used extensively in DevOps workflows.
Tech Stack
Technologies We Use
When Go is the Right Choice
Go vs Other Backends
| Requirement | Go | Node.js | .NET |
|---|---|---|---|
| High concurrency (10k+ req/s) | Goroutines, minimal overhead | Event loop, callback complexity | ThreadPool, higher memory |
| Cold starts (Lambda) | ~10ms | ~200ms | ~500ms+ |
| Binary distribution | Single static binary | Requires Node runtime | Requires .NET runtime |
| TypeScript / DX ecosystem | Good stdlib, fewer libs | Excellent | Excellent |
| Legacy enterprise integration | Limited | Moderate | Excellent |
Why FriendsBit
What Sets Us Apart
We built a Go-based document indexing service for a UN initiative. It replaced a .NET WCF service and processes Azure Service Bus events reliably at scale with zero maintenance since deployment.
Go's type system, error handling, and concurrency model (goroutines, channels) require a different mental model than Java or Node.js. We have shipped production Go code and understand when the language's constraints are a feature, not a limitation.
We choose Go when the requirements call for it: high concurrency, predictable latency, low infrastructure cost. We do not push Go on projects where Node.js or .NET would be a better fit.
All Go code we write comes with table-driven tests, context propagation for cancellation, and structured logging (slog or zerolog). Not negotiable.
Further Reading
Related Articles
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