Benchmarks

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Test Results

• CPU: Apple M1 Pro (arm64)
• Memory: 16GB
• Backends: 3 Python HTTP servers
• Duration: 30 seconds per test
• Tool: wrk (4 threads, 100 connections)

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Request Throughput

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Latency

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Note on Results

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Run Your Own Benchmarks

# Start monitoring dashboard
ultrabalancer dashboard --start

# Use wrk for benchmarking
wrk -t4 -c100 -d30s http://localhost:8080/

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Why UltraBalancer Wins

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Features

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Developer Experience

# One command to start full monitoring stack
ultrabalancer dashboard --start

# Runtime backend management via API
curl -H "X-API-Key: YOUR_KEY" http://localhost:8080/admin/backends

# Add/remove backends without restart
curl -X POST -H "X-API-Key: YOUR_KEY" \
  -d '{"address":"10.0.0.5:8080","weight":100}' \
  http://localhost:8080/admin/backends

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Rust Advantages

• Memory safety (no buffer overflows)
• Thread safety (no data races)
• Zero-cost abstractions
• Modern async runtime (Tokio)

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Summary

• One-command monitoring setup
• 7 algorithms including power-of-two & fastest-response
• Secure Admin API for runtime management
• Zero-downtime deployments with drain/undrain
• Memory-safe Rust codebase