Module observer

Module observer 

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§Metrics Observer for Pipeline Processing

This module provides a metrics observer that integrates with the pipeline processing system to collect and report real-time metrics to Prometheus. It implements the ProcessingObserver trait to receive processing events and update metrics accordingly.

§Overview

The metrics observer provides:

  • Real-Time Metrics: Collects metrics during pipeline processing
  • Prometheus Integration: Updates Prometheus metrics for monitoring
  • Performance Tracking: Tracks throughput, duration, and progress
  • Atomic Operations: Thread-safe metric updates using atomic operations
  • Event-Driven: Responds to processing events from the pipeline

§Architecture

The observer follows the Observer pattern:

  • Event Subscription: Subscribes to pipeline processing events
  • Metric Collection: Collects metrics from processing events
  • Atomic Updates: Uses atomic operations for thread-safe updates
  • Service Integration: Integrates with the metrics service for reporting

§Metrics Collected

§Processing Metrics

  • Total Bytes: Total bytes to be processed
  • Processed Bytes: Bytes processed so far
  • Throughput: Processing throughput in MB/s
  • Duration: Processing duration for chunks and overall processing

§Chunk Metrics

  • Chunk Count: Number of chunks processed
  • Chunk Size: Size of individual chunks
  • Chunk Duration: Time taken to process each chunk
  • Chunk Progress: Progress tracking for chunk processing

§Performance Metrics

  • Real-Time Throughput: Calculated throughput based on elapsed time
  • Average Throughput: Average throughput over processing duration
  • Peak Throughput: Maximum observed throughput
  • Processing Efficiency: Efficiency metrics for performance analysis

§Usage Examples

§Basic Observer Setup

§Integration with Pipeline

§Event Handling

The observer handles these processing events:

§Processing Started

  • Records total bytes to be processed
  • Initializes processing start time
  • Resets processing counters

§Chunk Started

  • Records chunk size and ID
  • Updates current chunk tracking
  • Logs chunk processing start

§Chunk Completed

  • Records chunk processing duration
  • Updates processed bytes counter
  • Increments chunk completion counter
  • Updates throughput metrics

§Progress Update

  • Updates processed bytes counter
  • Calculates real-time throughput
  • Updates throughput metrics
  • Logs progress information

§Processing Completed

  • Records total processing duration
  • Calculates final throughput
  • Updates completion metrics
  • Logs processing completion

§Performance Characteristics

  • Low Overhead: Minimal impact on processing performance
  • Atomic Operations: Thread-safe updates without locks
  • Efficient Calculations: Optimized throughput calculations
  • Memory Efficient: Minimal memory usage for metric tracking

§Thread Safety

The observer is thread-safe:

  • Uses atomic operations for counters
  • Immutable configuration after creation
  • Safe concurrent access from multiple threads

§Integration

Integrates with:

  • Pipeline Service: Receives processing events
  • Metrics Service: Reports metrics to Prometheus
  • Observability Service: Provides observability data
  • Monitoring Systems: Feeds data to monitoring dashboards

Structs§

MetricsObserver
Metrics observer that collects and reports pipeline processing metrics to Prometheus.