tikv/rust-prometheus
Rust Prometheus
This library is an instrumentation framework for Rust applications designed to record and expose performance metrics compatible with the Prometheus monitoring system. It provides tools for tracking custom application state and host-level system resource usage, such as CPU and memory consumption, to ensure operational visibility.
The framework is built for high-throughput environments, utilizing thread-local storage and atomic operations to minimize synchronization overhead during data collection. It leverages compile-time metric definitions and static typing to eliminate dynamic lookups, ensuring that metric structures are resolved efficiently during high-frequency instrumentation.
The library supports flexible data exposure, allowing metrics to be served through standard HTTP scraping endpoints or transmitted to external gateways. It also incorporates lazy initialization to manage memory footprint and startup latency, alongside a centralized registry system for managing and serializing collected data.
Features
- Prometheus Client Libraries - Provides a comprehensive toolkit for instrumenting and exposing application metrics compatible with Prometheus.
- Application Metrics Collection - Enables collection of application-level performance data through standard instrumentation types.
- Instrumentation Frameworks - Implements a high-performance instrumentation framework for Rust applications.
- Prometheus-Formatted HTTP Endpoints - Exposes collected metrics via an HTTP endpoint for standard Prometheus scraping.
- Thread-Local Metric Aggregation - Aggregates metrics in thread-local storage to minimize synchronization overhead in multi-threaded environments.
- Metric Registries - Maintains a centralized registry of metric instances for serialization and exposure.
- Prometheus Metrics Exporters - Provides standard instrumentation to expose application performance metrics in Prometheus format.
- Atomic Counters - Provides lock-free atomic increment and decrement operations for high-performance metric tracking.
- Lazy Initialization - Defers metric object allocation until first access to optimize startup latency and memory usage.
- Metric Push Gateways - Integrates with push gateways to facilitate metric transmission in restricted network environments.
- Metric Structures - Uses macro expansion and static typing to generate efficient metric structures at compile time.
- Metric Definitions - Uses strongly-typed structures to define metrics at compile time for consistent monitoring.
- Compile-Time Optimization Tools - Optimizes metric retrieval by resolving labels at compile time to reduce runtime overhead.
- Process Monitors - Monitors process-level resource consumption to ensure operational health.
- Observability Metrics Exporters - Exports gathered process and application metrics to external monitoring systems.
- Push Gateways - Supports transmitting metrics to push gateways for environments with restricted network access.
- System Resource Monitors - Tracks host-level CPU and memory usage to monitor process performance and stability.
