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Description
Is your feature request related to a problem? Please describe.
There is no API to expose metrics such as uptime, performance statistics, and operational status. This makes it difficult to integrate with third-party monitoring tools or to observe the health of the system programmatically.
Describe the solution you’d like
- API endpoints that provide:
- Service uptime and availability status.
- Request throughput and error rates.
- Average and percentile response times.
- Current resource utilization (CPU, memory, disk).
- Support for integration with third-party monitoring systems (e.g., Prometheus, Datadog).
- Optionally, authentication-protected access to metrics endpoints.
Describe alternatives you’ve considered
- Scraping logs and generating metrics manually.
- Relying on infrastructure-level monitoring only.
Additional context
This will improve observability and help with proactive maintenance and scaling decisions.
Subtasks
- Define API routes and response schema for metrics endpoints.
- Implement uptime tracking and expose it via the API.
- Add instrumentation to measure:
- Average response time.
- 95th and 99th percentile latency.
- Request throughput.
- Error counts and rates.
- Integrate with existing logging/metrics backends if available.
- Secure the endpoints with appropriate authentication.
- Write unit and integration tests for metrics endpoints.
- Document how to use the metrics APIs and example outputs.
Additional Functionality: API Speed and Scale Measurement
Goal
Provide tools and processes to measure:
- Time taken to complete API requests.
- Performance under parallel/concurrent load.
- Baseline and stress test results.
Subtasks
- Build a benchmarking utility to run load tests against the API.
- Record response time metrics under different concurrency levels.
- Store and visualize results (e.g., average, median, percentile latencies).
- Document recommended limits and scaling thresholds.
- Integrate automated performance regression tests into CI/CD pipeline.
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