Performance & Scaling Guide¶
Optimize TINAA for enterprise-scale testing operations.
Scaling Architecture¶
Horizontal Scaling¶
# kubernetes deployment
apiVersion: apps/v1
kind: Deployment
metadata:
name: tinaa-workers
spec:
replicas: 10
template:
spec:
containers:
- name: tinaa
resources:
requests:
memory: "2Gi"
cpu: "1000m"
Vertical Scaling¶
Recommended specifications by workload: - Small (< 100 tests/day): 2 CPU, 4GB RAM - Medium (100-1000 tests/day): 4 CPU, 8GB RAM - Large (> 1000 tests/day): 8+ CPU, 16GB+ RAM
Performance Optimization¶
Test Execution Optimization¶
// Parallel execution configuration
module.exports = {
workers: process.env.CPU_COUNT || 4,
maxWorkers: 16,
workerIdleMemoryLimit: '512MB'
};
Browser Management¶
// Reuse browser contexts
const browserPool = {
maxInstances: 10,
reuseExisting: true,
launchOptions: {
args: ['--disable-dev-shm-usage']
}
};
Load Distribution¶
Queue-Based Architecture¶
// Redis queue configuration
const queue = {
redis: {
host: 'redis-cluster.internal',
port: 6379,
maxRetriesPerRequest: 3
},
concurrency: 20
};
Geographic Distribution¶
Deploy across regions: - US-East: Primary - EU-West: Secondary - APAC: Tertiary
Caching Strategies¶
Test Result Caching¶
Static Asset Caching¶
- CDN integration
- Browser caching
- Proxy caching
Monitoring & Metrics¶
Key Performance Indicators¶
- Test Execution Time
- Average: < 30 seconds
- P95: < 2 minutes
-
P99: < 5 minutes
-
Resource Utilization
- CPU: < 80%
- Memory: < 75%
- Disk I/O: < 60%
Monitoring Stack¶
Database Optimization¶
PostgreSQL Tuning¶
-- Optimize for read-heavy workload
ALTER SYSTEM SET shared_buffers = '4GB';
ALTER SYSTEM SET effective_cache_size = '12GB';
ALTER SYSTEM SET work_mem = '256MB';
Connection Pooling¶
Cost Optimization¶
Resource Management¶
- Auto-scaling policies
- Spot instance usage
- Reserved capacity planning
- Idle resource termination