Deploy Pounce in production. Start with Production for the essentials, then tune Workers, enable Compression, and layer on Observability and Security as needed.
Production
Hardening, reverse proxy, and scaling patterns
Running Pounce in production environments.
Workers
Configuring worker count, thread vs process mode
Tuning parallelism for your workload.
Compression
Zstd, gzip, and content negotiation
Zero-dependency compression with Python 3.14 stdlib.
Security
Proxy headers, CRLF protection, request smuggling
Built-in security features for production deployments.
Observability
Health checks, request IDs, Prometheus metrics
Monitoring, tracing, and metrics for production.
Graceful Reload
Zero-downtime code reloads via SIGHUP
Rolling restart with automatic worker draining.
Hot Reload
Deploy code without dropping connections
Graceful worker replacement with SO_REUSEPORT.
Graceful Shutdown
Connection draining for Kubernetes, Docker, systemd
Production-grade SIGTERM handling.
OpenTelemetry
Distributed tracing with Jaeger, Datadog, Tempo
Native OTLP export with zero code changes.
Rate Limiting
Per-IP token bucket abuse protection
Built-in 429 responses with burst support.
Request Queueing
Bounded queues with load shedding
Graceful 503 responses when overloaded.
Sentry
Error tracking and performance monitoring
Automatic exception capture with request context.