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API Endpoints for Nixopus Metrics and Service Uptime #260

@raghavyuva

Description

@raghavyuva

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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