Even when Django is correct, production performance and reliability can degrade due to mis-tuned Gunicorn/Uvicorn settings. Teams commonly see high latency, worker starvation, memory spikes, slow startup, and inconsistent behavior between sync and async endpoints—especially under burst traffic or when request patterns include long-running operations.
DevionixLabs tunes Gunicorn and Uvicorn for Django based on your workload characteristics and deployment constraints. We help you choose the right worker model, configure concurrency safely, and set timeouts and keep-alive behavior so your app remains responsive and stable.
What we deliver:
• Gunicorn configuration tuning for Django (workers, threads, worker class, timeouts, and graceful reload behavior)
• Uvicorn tuning for async endpoints (concurrency model, keep-alive, lifespan handling, and performance-safe defaults)
• Recommendations for sync/async routing strategy to avoid blocking and starvation
• Resource-aligned settings (CPU/memory) to reduce OOM risk and improve throughput
• Operational guidance for observability (logging format, error visibility, and health check compatibility)
We begin by analyzing your current server configuration and symptoms: request duration distribution, concurrency needs, and any known bottlenecks (database latency, external calls, or CPU-bound work). Then we implement tuning changes that match your deployment environment—container limits, autoscaling behavior, and expected traffic patterns.
Before vs After Results:
BEFORE DEVIONIXLABS:
✗ high latency during traffic bursts due to insufficient or misconfigured workers
✗ worker timeouts and gateway errors from unsafe timeout settings
✗ memory growth leading to instability and restarts
✗ inconsistent performance between sync and async endpoints
✗ difficult troubleshooting because logs and error visibility were not aligned
AFTER DEVIONIXLABS:
✓ improved request latency stability under burst traffic
✓ fewer timeout-related failures through workload-appropriate tuning
✓ reduced memory pressure and more predictable worker behavior
✓ consistent performance across sync and async paths
✓ clearer operational signals for faster diagnosis and safer releases
The outcome is a Django runtime layer that performs predictably, scales more smoothly, and is easier to operate. With DevionixLabs, you get tuning that is grounded in your workload—not guesswork.
Free 30-minute consultation for your High-availability Django deployments using Gunicorn/Uvicorn for synchronous and async workloads infrastructure. No credit card, no commitment.