What role does chaos engineering play with resiliient platform engineering in the age of AI?
How can AI help predict performance bottlenecks before they occur in large-scale systems?
How can developers and testers practically use AI in their day-to-day performance engineering activities?
Could you explain how the AI-Accelerated PE approach ensures scalability and resilience at enterprise level?
What metrics can teams use to measure ROI after adopting automated test data management?