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Comprehensive API Performance Monitoring Decorator

performance-monitoring decorators metrics observability
Prompt
Develop a TypeScript decorator-based performance monitoring system for API methods that automatically captures detailed metrics, including execution time, memory usage, and resource consumption. Create a pluggable architecture that supports multiple monitoring backends (Prometheus, OpenTelemetry), with zero-configuration default tracking and custom metric injection capabilities.
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TypeScript
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Mar 3, 2026

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Use Cases
  • Tracking API performance in a financial application.
  • Monitoring response times for a social media platform.
  • Analyzing API usage patterns in a SaaS product.
Tips for Best Results
  • Define clear performance thresholds for alerts.
  • Regularly review performance data for optimization opportunities.
  • Integrate monitoring with existing logging systems.

Frequently Asked Questions

What is API performance monitoring?
It's the process of tracking and analyzing API response times and reliability.
Why use a performance monitoring decorator?
It allows for easy integration of monitoring without altering existing code.
What metrics should be monitored?
Key metrics include response time, error rates, and throughput.
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