Metrics Export Architecture

Requirements and Dataflow

Core Requirements

  • Multi-format metrics export supporting Prometheus and JSON standards
  • Configurable metrics endpoint with authentication and access control
  • Real-time metrics snapshot generation with performance optimization
  • Prometheus-compatible metric formatting with proper metadata
  • Content negotiation for different metric export formats
  • Metrics availability control with feature flag integration

Data Flow Patterns

  1. Metrics Collection: Global Metrics → Snapshot Generation → Format Conversion → HTTP Response
  2. Prometheus Export: Metrics Request → Authentication Check → Snapshot Retrieval → Prometheus Format → Response
  3. JSON Export: API Request → Permission Validation → Metrics Aggregation → JSON Serialization → Response
  4. Format Negotiation: Accept Headers → Format Selection → Appropriate Serialization → Content-Type Response
  5. Access Control: Request → Authentication → Authorization → Metrics Filtering → Secure Response

High-level Purpose and Responsibilities

Primary Purpose

Provides standardized metrics export capabilities that enable integration with monitoring systems like Prometheus, Grafana, and custom dashboards while ensuring secure access and proper data formatting.

Core Responsibilities

  • Multi-Format Export: Support for Prometheus text format and JSON APIs
  • Secure Access: Authentication and authorization for metrics endpoints
  • Performance Optimization: Efficient snapshot generation and serialization
  • Standard Compliance: Prometheus metric format specification adherence
  • Content Negotiation: Automatic format selection based on client preferences
  • Configuration Management: Feature flag control and endpoint customization

Key Abstractions and Interfaces

Export Interfaces

  • prometheus_metrics(): Prometheus text format export with standard metadata
  • json_metrics(): JSON format export with structured metric data
  • format_prometheus_metrics(): Prometheus format conversion with proper naming
  • MetricsSnapshot: Unified metrics data structure for format conversion

Access Control

  • Authentication Check: Configurable authentication requirements for metrics access
  • Feature Flag Integration: Metrics availability control via configuration
  • Permission Validation: Role-based access control for sensitive metrics
  • Rate Limiting: Request throttling for metrics endpoints

Format Conversion

  • PrometheusFormatter: Text format conversion with proper escaping and metadata
  • JSONSerializer: Structured JSON output with hierarchical organization
  • ContentTypeNegotiation: Automatic format selection based on Accept headers
  • MetricNormalization: Consistent naming and value formatting across formats

Data Transformations and Flow

Prometheus Export Pipeline

Global Metrics → Snapshot Generation → Prometheus Format Conversion → Text Response → Client

JSON Export Pipeline

Metrics Collection → Data Aggregation → JSON Serialization → Structured Response → Dashboard

Authentication Flow

HTTP Request → Configuration Check → Authentication Validation → Metrics Access → Response Generation

Format Selection Process

Client Request → Accept Header Analysis → Format Determination → Appropriate Serialization → Response

Dependencies and Interactions

External Dependencies

  • axum: HTTP framework integration for endpoint handling and response generation
  • serde: JSON serialization for structured metric export
  • std::sync: Thread-safe access to shared metrics data
  • HeaderMap: HTTP header processing for content negotiation and authentication

Internal System Interactions

  • Global Metrics: Direct integration with centralized metrics collection system
  • Configuration: Feature flag and security configuration integration
  • Authentication: User authentication and authorization system integration
  • State Management: Application state access for configuration and security context

Architectural Patterns

Multi-Format Support

  • Pluggable format conversion with extensible serialization strategies
  • Content-type negotiation with automatic format selection
  • Standardized internal representation with format-specific conversion
  • Consistent metric naming and value representation across formats

Secure Metrics Access

  • Configuration-driven authentication requirements
  • Feature flag integration for metrics endpoint availability
  • Role-based access control with granular permission management
  • Rate limiting and abuse prevention for metrics endpoints

Performance Optimization

  • Cached snapshot generation with configurable refresh intervals
  • Efficient serialization strategies for different output formats
  • Memory-conscious large dataset handling with streaming support
  • Background metrics aggregation to minimize request latency

Standards Compliance

  • Prometheus exposition format compliance with proper metadata
  • OpenMetrics standard support for enhanced interoperability
  • JSON-based metrics API following RESTful conventions
  • Proper HTTP status codes and error handling for all scenarios

Extensibility Framework

  • Plugin architecture for custom metric formats
  • Configurable metric filtering and transformation
  • Custom authentication provider integration
  • Extensible content negotiation with new format support