oshi/oshi

Features

• Hardware Monitoring Tools - Extracts real-time performance telemetry and specifications from physical hardware components across multiple operating systems.
• System Monitoring Platforms - Collects real-time hardware and operating system metrics across multiple platforms to monitor system performance.
• Operating System Introspection - Fetches software versions, boot times, and kernel metadata to verify the host environment.
• Processor Metrics Collection - Provides detailed collection of CPU usage, load averages, cache information, and hybrid processor topology.
• Java Utility Libraries - Provides a general-purpose Java utility library for retrieving hardware and operating system metrics across platforms.
• Native Access Libraries - Uses JNA to map Java interfaces to native C libraries for accessing operating system APIs.
• Hardware Abstraction Layers - Provides a consistent API for hardware data retrieval across different operating system implementations.
• Provider Patterns - Implements platform-independent interfaces through specialized provider classes for Windows, Linux, and macOS.
• Pseudo-Filesystem Parsing - Extracts hardware and kernel metrics by parsing structured text files from procfs and sysfs directories.
• Memory Performance Monitors - Retrieves global and virtual memory statistics, physical memory serial numbers, and node assignments.
• Cross-Platform Monitors - Collects system data for processors, memory, disks, and network interfaces across multiple operating systems.
• Hardware Asset Auditing - Retrieves detailed specifications and unique identifiers for processors, GPUs, and network interfaces to audit system assets.
• System Metrics Collection - Provides comprehensive gathering of native system-level performance metrics including CPU, memory, disk, and network statistics.
• Network Statistics Tracking - Collects network interface status, subnet masks, dropped packets, and active connection lists.
• Process State Inspection - Retrieves and analyzes the current status, memory footprints, and CPU usage of active processes.
• Resource Usage Troubleshooting - Inspects active processes, thread usage, and memory footprints to diagnose resource consumption bottlenecks.
• Device and Hardware Identification - Looks up hardware identifiers to determine specific processor microarchitectures and unique system IDs.
• Hardware Enumeration - Lists connected bluetooth peripherals, printers, battery statistics, and firmware information.
• Storage Layout Analysis - Identifies disk types, hardware identifiers, logical volume groups, and partition details.
• OS Metadata Providers - Queries system boot times, uptime, and detailed version information across various desktop and server distributions.
• Global Metric Registries - Binds hardware snapshots to external monitoring registries using standardized semantic conventions for observability.
• System Environment Retrievers - Fetches static system environment metadata including boot time, uptime, and operating system versions.
• Metrics Exporters - Exposes system performance data using the Micrometer standard for external monitoring and analysis.
• Observability Pipelines - Exports raw system and hardware metrics to external monitoring backends using the Micrometer framework.
• GPU Performance Monitoring - Extracts graphics card specifications and real-time performance metrics.
• System Observability - Integrates system and process metrics into observability pipelines for performance diagnosis.
• OS and Hardware Data Queries - Retrieves detailed software versions and configurations for various desktop and server distributions.

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