Improve performance and reliability with Proactive App Recommendations

Datadog's Proactive App Recommendations feature automatically analyzes telemetry data from APM, RUM, Database Monitoring, and Continuous Profiler to identify performance and reliability issues across applications. The tool provides actionable recommendations with suggested code fixes, can automatically create pull requests for backend optimizations, detects frontend user frustration signals like dead clicks and rage clicks, and surfaces code-level performance bottlenecks. Teams can accept recommendations directly within the platform, track progress through case management, and filter recommendations by team ownership to reduce noise and focus on relevant issues.