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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

const cache = {
  provider: 'redis',
  ttl: 3600, // 1 hour
  keyPrefix: 'tinaa:results:'
};

Static Asset Caching

  • CDN integration
  • Browser caching
  • Proxy caching

Monitoring & Metrics

Key Performance Indicators

  1. Test Execution Time
  2. Average: < 30 seconds
  3. P95: < 2 minutes
  4. P99: < 5 minutes

  5. Resource Utilization

  6. CPU: < 80%
  7. Memory: < 75%
  8. Disk I/O: < 60%

Monitoring Stack

monitoring:
  metrics: prometheus
  logging: elasticsearch
  tracing: jaeger
  alerting: pagerduty

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

const pool = {
  max: 20,
  min: 5,
  idle: 10000,
  acquire: 30000
};

Cost Optimization

Resource Management

  1. Auto-scaling policies
  2. Spot instance usage
  3. Reserved capacity planning
  4. Idle resource termination

Cost Monitoring

# Generate cost report
tinaa cost report --period monthly