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The Windows Exporter is a service that collects system, performance, and hardware metrics from Windows servers and exposes them via a text-based HTTP endpoint for Prometheus to scrape. It functions as a system metrics collector and service monitor designed to provide observability across Windows environments.
The main features of prometheus-community/windows_exporter are: Windows Server Monitoring, Performance Counter Sampling, System Metrics Collection, Prometheus-Formatted HTTP Endpoints, Prometheus System Metrics Exporters, Windows Service Monitors, Windows System Metrics Collectors, WMI Data Acquisition.
Open-source alternatives to prometheus-community/windows_exporter include: prometheus/client_golang — Prometheus client_golang is the official Go client library for instrumenting applications with Prometheus metrics. It… vectordotdev/vector — Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and… velocidex/velociraptor — Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and… autobrr/qui — Qui is a BitTorrent cross-seeding manager, automation engine, and multi-instance torrent dashboard. It provides a… google/cadvisor — cAdvisor is a container resource monitoring agent and performance analyzer that collects and exports CPU, memory,… google/perfetto — Perfetto is a platform for system-level performance tracing and analysis on Linux and Android. It combines a…
Prometheus client_golang is the official Go client library for instrumenting applications with Prometheus metrics. It provides a metric registry that manages and exposes custom application metrics like counters, gauges, histograms, and summaries in Prometheus format for HTTP scraping by a Prometheus server. The library also includes a remote read client that sends PromQL queries to a Prometheus server over HTTP and retrieves time series data programmatically. The library supports creating separate registries to isolate metric namespaces and control which metrics are exposed per scrape endpoin
Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network
Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and visibility tool. It provides a query engine and remote forensic collector used to hunt for indicators of compromise and perform triage across a fleet of hosts. The system is distinguished by its specialized query language for interrogating host state and parsing binary files. It features a notebook environment that combines markdown documentation with executable query cells to standardize investigative workflows and enable collaborative reporting. The platform covers a wide range o
Qui is a BitTorrent cross-seeding manager, automation engine, and multi-instance torrent dashboard. It provides a unified web interface to manage multiple separate torrent client instances from a single location and functions as an authentication gateway using OpenID Connect to protect backend API endpoints. The project specializes in identifying and adding matching torrents across different trackers to increase seeding ratios. It utilizes hardlink-based file replication to satisfy multiple tracker layouts without duplicating disk space and features a rule-based automation engine that execute