Product › Infrastructure › Scaling & Performance

Engineered for Extreme Scale

.git's infrastructure is built to handle millions of requests per second with sub-50ms latency. Auto-scaling, edge distribution, and intelligent caching work together to keep your applications fast under any load.

Performance Architecture

Global Edge Network

300+ points of presence across 6 continents. Static and dynamic content served from the node closest to your users.

Anycast DNS

Zero-Cold-Start Runtime

Warm container pools and predictive scaling ensure your functions and services respond in <15ms, always.

Serverless / Containers

Intelligent Load Balancing

Multi-tier routing distributes traffic based on latency, region capacity, and real-time health checks.

Weighted Routing

Infrastructure Layout

architecture.yaml
# .git routing & scaling topology network: edge: 300+ PoPs protocol: ["HTTP/2", "HTTP/3", "QUIC"] compression: brotli & gzip compute: scaling: auto (0 to ∞) warm_pool: true region_failover: automatic storage: cache: distributed KV + CDN db_proxy: read/write split

Independent Benchmarks

Measured under sustained 50k req/s load with mixed static/dynamic payloads (p95/p99).

Metric .git Industry Avg Improvement
Cold Start 12ms 180ms 93% faster
P99 Latency 42ms 210ms 80% faster
Throughput 52k req/s 28k req/s 86% higher
Cache Hit Rate 94.2% 68.5% 25.7% higher

Scaling Strategies

📈

Horizontal Auto-Scaling

Scales instances based on CPU, memory, request queue depth, and custom metrics. Scales from 0 to thousands of instances in under 200ms.

🌐

Multi-Region Failover

Automatic traffic shifting when a region experiences degraded performance. DNS and edge routing update in real-time with zero downtime.

⚡

Predictive Pre-Warming

ML-driven traffic analysis pre-allocates resources before spikes occur (lunch rushes, product launches, scheduled events).

.git/scaling.yml
scaling: strategy: adaptive min_instances: 2 max_instances: 150 thresholds: cpu: 75 # % trigger scale-up memory: 80 request_queue: 1000 cooldown: 30 # seconds between scale events

Performance Optimization Checklist

Follow these guidelines to maximize throughput and minimize latency on the .git platform.

✓ Enable HTTP/3 & Brotli compression for static assets
✓ Use edge caching directives (`Cache-Control: public, max-age=31536000`)
✓ Implement connection pooling for upstream database calls
✓ Leverage server-sent events or WebSockets for real-time updates
✓ Set appropriate request timeouts (default: 30s, max: 60s)
✓ Monitor p95/p99 latency via built-in observability dashboards

Ready to handle any traffic spike?

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