🔧 DevOps
Auto-Scaling Guide
Configure auto-scaling for Ever Gauzy deployments.
Kubernetes Horizontal Pod Autoscaler
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: gauzy-api-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: gauzy-api
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80Scaling Strategies
| Strategy | Trigger | Best For |
|---|---|---|
| CPU-based | CPU > 70% | Compute-heavy API |
| Memory-based | Memory > 80% | Data processing |
| Request-based | RPS > threshold | Traffic spikes |
| Custom metrics | Queue depth, latency | Advanced scaling |
Database Connection Scaling
When scaling API pods, adjust connection pool:
max_connections = (replicas × pool_size) + buffer| Replicas | Pool/Pod | Max DB Connections |
|---|---|---|
| 2 | 20 | 50 |
| 5 | 20 | 110 |
| 10 | 20 | 210 |
Docker Swarm Scaling
docker service scale gauzy-api=5Related Pages
- Scaling & HA — scaling overview
- Load Testing — performance testing
- Performance Benchmarks — benchmarks