ai-agent/symphony-ai-agent/testing/Goal-2-Task-3/Goal-2-Task-3-test-plan.md

RBAC Performance Test Plan (Goal-2-Task-3)

Test Objectives

• Validate RBAC performance under production-like load conditions
• Measure key metrics: role resolution latency, permission check throughput, concurrent session handling, memory usage
• Identify performance bottlenecks and scaling limits

Test Environment

• Infrastructure: AWS EC2 instances (3x m5.xlarge workers, 1x m5.2xlarge load generator)
• Monitoring: Grafana dashboard with Prometheus metrics collection
• Test Duration: 60 minutes per test scenario

Test Scenarios

Scenario 1: Baseline Performance

• Description: Measure performance with single user session
• Parameters:
  • Users: 1
  • Role assignments: 5 roles per user
  • Permission checks: 1000 sequential checks
• Metrics:
  • Average role resolution latency
  • Permission check throughput
  • Memory usage baseline

Scenario 2: Concurrent Users

• Description: Measure performance with increasing concurrent users
• Parameters:
  • Users: 100 → 1000 → 5000 (ramp up over 10 minutes)
  • Role assignments: 5 roles per user
  • Permission checks: 100 checks per user
• Metrics:
  • 95th percentile latency
  • Throughput under load
  • Memory usage growth

Scenario 3: Complex Role Hierarchies

• Description: Measure impact of complex role structures
• Parameters:
  • Users: 100
  • Role assignments: 20 roles per user (nested hierarchy)
  • Permission checks: 100 checks per user
• Metrics:
  • Role resolution latency distribution
  • CPU utilization
  • Garbage collection impact

Success Criteria

• P95 role resolution latency < 100ms at 1000 concurrent users
• Permission check throughput > 500 ops/sec at peak load
• Memory usage growth < 20% during test duration

Execution Steps

1. Provision test environment using Terraform
2. Deploy RBAC service and monitoring
3. Execute test scenarios using load generator
4. Collect and analyze metrics
5. Generate performance report