metrics-rs/metrics

Features

• Application Observability - Provides a comprehensive toolkit for capturing, labeling, and reporting structured diagnostic events and performance metrics.
• Instrumentation Frameworks - Provides a unified framework for recording counters, gauges, and histograms in Rust applications.
• Backend Abstractions - Uses trait-based interfaces to decouple instrumentation logic from telemetry exporters, allowing runtime backend swapping.
• Application Performance Monitoring - Provides tools for tracking counters, gauges, and histograms to monitor application health and performance.
• Macro-Based Instrumentation - Provides macros to collect counters, gauges, and histograms throughout an application to track performance and operational state.
• Global Metric Registries - Provides a process-wide singleton registry that decouples instrumentation sites from specific telemetry backend implementations.
• Custom Metric Reporters - Sends telemetry data to configured backends like logging or external monitoring services to track performance over time.
• Telemetry Collection and Aggregation - Aggregates performance data from instrumented code and exports it to various monitoring and observability platforms.
• Trace Context Extraction - Extracts active tracing spans from the execution context and automatically applies them as labels to recorded metrics.
• Prometheus Exporters - Transmits recorded application telemetry to a compatible endpoint for collection and visualization within Prometheus.
• Telemetry Exporters - Transmits collected metrics to external monitoring systems by decoupling instrumentation logic from specific backend storage implementations.
• Throughput and Size Unit Scalings - Scales and labels numeric values using human-readable units and time-based abbreviations to improve the clarity of telemetry data.
• Metric Metadata Assignment - Attaches specific measurement units to telemetry data to ensure accurate interpretation and visualization of performance values.
• Telemetry Customizers - Attaches user-defined metadata to recorded metrics to allow for granular filtering and grouping of request data.
• Request Metrics Telemetry - Records standard telemetry metrics including request duration, active request counts, and payload sizes for web server endpoints.
• NewRelic Integrations - Transmits application telemetry data to the monitoring platform by periodically pushing metrics to the service for visualization.
• Telemetry Routing Interfaces - Decouples instrumentation logic from storage backends to route performance data to various logging and monitoring services.
• Correlation Tracing - Links application metrics with active tracing spans to provide deeper context for performance debugging.
• Function Auto-Instrumentation Macros - Uses procedural macros to instrument code at compile time, minimizing runtime overhead for performance-critical paths.
• Telemetry Metadata Attachment - Attaches structured key-value labels to metrics to enable granular filtering and correlation with distributed tracing spans.
• StatsD Exporters - Transmits application telemetry to monitoring systems by mapping internal metric types to StatsD protocol formats.
• Thread-Local Metric Aggregation - Uses thread-local storage to record metrics in multi-threaded applications to prevent write contention.
• Datadog Exporters - Transmits application telemetry data to Datadog agents using standard protocols for centralized monitoring.
• Application Metrics Exporters - Exposes application-level performance metrics in Prometheus format for centralized monitoring and visualization.
• Cardinality Controls - Configures specific path parameters as distinct labels in metrics to allow granular analysis of high-traffic or variable routes.
• Structured Log Field Attachments - Associates key-value pairs with log records to provide additional metadata and context for improved searchability and analysis.
• HTTP Client Monitoring - Automatically records telemetry data for outgoing HTTP requests, tracking metrics such as latency and request counts.
• Web Server Monitoring - Automatically records request latency, throughput, and payload sizes for web service endpoints.

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