Why We Chose Go for Our Agent Infrastructure
Architecture decisions, performance benchmarks, and why Go outperformed alternatives for our agent platform.
The Decision
When we started building Trefur, we faced a fundamental question: what language should our backend be in?
Options we considered:
Node.js — Fast, familiar, great ecosystemPython — ML/AI native, but slowGo — Fast, reliable, great for concurrent operationsRust — Fastest, but high learning curveWe chose Go. Here's why.
The Requirements
Our infrastructure needs to:
Handle high throughput — Many concurrent agent tracesProcess in real-time — Sub-second trace processingScale horizontally — Add capacity by adding machinesBe reliable — 99.9% uptime is table stakesWhy Go Beat the Alternatives
Go vs Node.js
Node.js is great for I/O-bound workloads. But trace processing is CPU-intensive. Go's compiled nature shines here.
Go vs Python
Python is non-negotiable for AI/ML. But for the infrastructure layer?
10-50x slower than GoGIL limits concurrencyMemory usage is highWe use Python where it makes sense. Go for the core platform.
Go vs Rust
We love Rust. But:
Steeper learning curve for the teamSlower development velocityCompile times are painfulFor a startup moving fast, Go's balance of performance and productivity won.
Real Benchmarks
Here's what we saw in production:
Throughput: Go handled significantly more traces per second than our Node.js prototype on the same hardwareLatency (p99): Single-digit milliseconds in Go vs ~80ms+ in Node.jsMemory: Go's footprint was a fraction of Node.js — important at scaleThe numbers spoke for themselves. Go gave us the headroom we needed.
The Trade-offs
Go isn't perfect:
No generics before Go 1.18 (we use them now)Error handling is verboseDependency management (go.mod) improved but not perfectBut for our use case, the benefits outweigh the drawbacks.
Lessons Learned
The right tool for the right job — Use the best language for each layerBenchmark with realistic data — Synthetic benchmarks lieThink about scale from day one — Rewrites are expensiveConclusion
Go gave us the performance we needed without sacrificing development speed. For agent infrastructure — where throughput and latency matter — it's been the right choice.
Would we use it for everything? No. But for the core infrastructure, Go is unbeatable.