Projects sharing features with Rust Prometheus

This is a health monitoring tool for ASP.NET Core applications designed to verify the availability of infrastructure and external dependencies. It provides a system for tracking the status of services and dependencies within an application to maintain distributed system observability. The project distinguishes itself through cluster service discovery, which identifies active health check endpoints by querying cluster APIs, such as those in Kubernetes. It also includes a health status dashboard for visualizing stability trends and a mechanism to connect real-time health status to deployment pi

This project is a Go process supervisor designed to start and monitor multiple background programs with automatic restarts and lifecycle management. It functions as a system for coordinating daemon execution, ensuring continuous operation through a central configuration. The supervisor distinguishes itself with multiple remote administration interfaces, including a process management REST API, an XML-RPC controller, and a built-in web dashboard for monitoring and controlling processes. It features a Prometheus monitoring exporter that serves real-time performance metrics via a dedicated HTTP

This library provides a toolkit for instrumenting Go applications to track performance data, including counters, gauges, and timers. It serves as a centralized facility for collecting, storing, and exporting runtime metrics to external monitoring and telemetry platforms. The project distinguishes itself through a pluggable architecture that decouples application instrumentation from specific output formats. It manages metric data through a registry that supports concurrent updates and provides granular control over data volume by filtering metric labels before transmission. To support operati

This library provides a toolkit for instrumenting Go applications with performance metrics, enabling the tracking of counters, gauges, and timers. It serves as a foundational framework for recording application behavior and resource usage, offering thread-safe primitives to manage the lifecycle of these instruments within a central registry. The system distinguishes itself through a high-performance design that utilizes atomic operations to track event frequencies, avoiding the overhead of mutex locks during execution. It employs snapshot-based sampling to capture point-in-time data, ensuring

Prysm is a Go implementation of the Ethereum consensus layer, providing an Ethereum proof of stake client, beacon node, and validator client. It enables the operation of beacon nodes to track network state and the running of validator nodes to propose blocks and sign attestations. The project includes an MEV-boost integrated client that routes blocks through external relays and builders to optimize transaction fee rewards. It provides a slashing protection database to prevent conflicting signatures and supports remote key signing to keep private keys on external secure services. The software

kube-state-metrics is a Kubernetes metrics exporter that generates Prometheus-compatible metrics from the current state of cluster objects such as pods, deployments, and nodes. It operates by watching the Kubernetes API server and transforming resource snapshots into metric families, which are then exposed over an HTTP endpoint in the Prometheus text-based exposition format for direct scraping. The project distinguishes itself through horizontal scaling capabilities, distributing metric collection across multiple instances using object UID hashing to reduce per-instance memory consumption. It

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 project utilizes a modular collector design that gathers data through Windows Management Instrumentation, native performance counters, and registry keys. It also includes a text-file metrics importer that allows user-defined or third-party business metrics to be read from local plain

Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain

This project is a PyTorch model serving framework designed to deploy and scale machine learning models in production via scalable network endpoints. It functions as a high-performance inference server, optimizer, and model lifecycle manager that handles model loading, request batching, and hardware acceleration. The system distinguishes itself through advanced orchestration and optimization capabilities, such as chaining multiple models into sequential workflows using execution graphs and employing dynamic batching to improve throughput and latency. It provides specialized support for generat

Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r

This project is an OpenTelemetry reference implementation and distributed microservices environment used to demonstrate the collection and export of traces, metrics, and logs. It serves as a telemetry pipeline showcase and a polyglot instrumentation example, providing a sandbox for practicing distributed tracing and monitoring within a Kubernetes cluster. The system features a polyglot architecture to demonstrate consistent, vendor-neutral telemetry implementation across multiple programming languages. It includes a simulated environment for testing telemetry interoperability and troubleshoot

The NGINX Ingress Controller is a Kubernetes-native traffic manager that handles external requests and routes them to internal services. It translates Kubernetes API objects and annotations into proxy configurations to manage incoming HTTP, TCP, and UDP traffic. The controller distinguishes itself through advanced traffic steering and security integration. It supports blue-green and canary traffic splitting, as well as content-based and regex path routing. Security is handled at the edge via a web application firewall, denial-of-service protection, and a variety of authentication methods incl

The Blackbox Exporter is a Prometheus-compatible probe that checks the availability and response correctness of external services over HTTP, HTTPS, DNS, TCP, ICMP, and gRPC. It exposes probe results as Prometheus metrics, including a probe_success indicator for each endpoint checked, making it a dedicated tool for blackbox monitoring of network services. The exporter uses a probe-module configuration system where reusable settings such as protocol, method, and IP version are defined as named YAML modules. These modules are assigned to target groups through Prometheus relabeling rules, which m

Procs is a high-performance system process monitor and viewer written in Rust. It serves as a replacement for the ps command, providing a command-line interface to track active system processes and their associated CPU and memory metrics. The tool is distinguished by its container awareness, which maps system tasks to their corresponding Docker container names. It also features an interactive process tree to visualize parent and child relationships in a hierarchical layout and a JSON exporter for programmatic data analysis and automation. The monitoring surface includes real-time activity tr

htop is a terminal user interface system monitor for Unix systems. It functions as an interactive process viewer and real-time resource visualizer, providing a dashboard to track CPU, memory, and load average metrics. The tool enables the sorting, filtering, and termination of active system processes and threads. It distinguishes itself through a text-mode interface that can render processes in a hierarchical tree structure to visualize parent-child relationships and allows for the assignment of CPU affinity to specific processor cores. The monitoring surface covers CPU utilization, memory a

htop is a terminal-based system resource monitor and interactive process viewer. It functions as a text-user interface dashboard for overseeing hardware temperatures, load averages, and battery status while providing a comprehensive tool for monitoring and managing system processes. The application distinguishes itself through detailed process lifecycle management, allowing users to kill processes, adjust priorities via renicing, and assign CPU affinity to specific cores. It provides high-level visibility into system behavior through process hierarchy visualization and the ability to inspect

Telegraf is a modular, cross-platform telemetry pipeline designed to collect, process, and route metrics from diverse infrastructure, applications, and hardware. It functions as a server-side middleware that normalizes heterogeneous data into a unified format, enabling consistent monitoring across complex environments. By utilizing a plugin-driven architecture, the agent manages the entire lifecycle of telemetry data from initial ingestion to final transmission. The project distinguishes itself through a declarative, configuration-driven execution model that allows users to define complex dat

This project is a bash scripting tutorial, shell automation library, and Linux system administration guide. It serves as a collection of practical examples and case studies designed for learning the Linux command line and shell programming. The repository provides a reference for Unix text processing and the creation of modular script libraries. It includes patterns for automating repetitive server tasks, such as software installation, network security configuration, and database task automation. The project covers a broad range of capabilities, including system monitoring and health auditin

This project is a software-defined radio signal decoder and protocol analyzer designed to translate raw radio transmissions from ISM bands into human-readable data. It functions as a tool for capturing radio samples, analyzing pulse timings, and decoding signals from wireless devices. The system acts as a data bridge, converting decoded radio signals into JSON format for publication to MQTT brokers or exposure via Prometheus-compatible endpoints. It also serves as a signal capture tool capable of recording raw radio samples and demodulated pulses to files for offline analysis and simulated pl

This project is a unified observability framework for Rust applications, designed to capture, aggregate, and report performance telemetry. It provides a comprehensive toolkit for instrumenting code to track counters, gauges, and histograms, enabling developers to monitor application health and operational performance through a standardized interface. The library distinguishes itself by decoupling instrumentation sites from specific backend implementations through a global registry and trait-based abstractions. This architecture allows developers to swap telemetry exporters at runtime without

nodejs-dashboard is a command-line observability tool and performance monitor for Node.js applications. It functions as a terminal-based diagnostic dashboard that tracks real-time resource usage, event loop latency, and process health. The tool uses process injection to capture telemetry and monitor running processes without requiring manual instrumentation of the application source code. It employs a grid-based layout engine to visualize this data, allowing the separation of standard output and error streams into distinct panels for log debugging. Users can define the visual arrangement of

Goss is a declarative system validation framework that verifies server state by comparing live system attributes against YAML specifications. It checks the state of packages, ports, services, files, users, processes, DNS records, kernel parameters, mounts, network interfaces, and HTTP endpoints, reporting pass or fail for each condition. The tool distinguishes itself through several automation capabilities. It can scan a running system to automatically generate YAML baseline files that capture current resource configurations, eliminating the need to write tests from scratch. A retry-with-time

WatchYourLAN is a self-hosted network discovery and monitoring tool written in Go. It scans local network interfaces using ARP requests to detect connected devices, tracks their online and offline status over time, and identifies when new or previously unseen hosts appear on the network. The application stores host data and connection history in either SQLite or PostgreSQL, and can export metrics to InfluxDB or expose a Prometheus endpoint for long-term storage and visualization in dashboards like Grafana. The tool provides a REST API for programmatic management of monitored hosts, including

LXD is a unified platform for managing both system containers and virtual machines through a single REST API and command-line interface. It provides a programmatic HTTP interface for controlling the full lifecycle of instances, enabling automation and integration with external tools. The system runs unprivileged containers with per-instance UID/GID mappings, seccomp filters, and AppArmor profiles for kernel-level isolation, while supporting multiple storage backends including directory, Btrfs, LVM, ZFS, Ceph, LINSTOR, and TrueNAS through a unified driver interface. The platform distinguishes

brpc is a high-performance C++ RPC framework and network programming library designed for building distributed systems. It functions as a multi-protocol RPC server capable of hosting and detecting multiple communication protocols, including gRPC, Thrift, HTTP, Redis, and Memcached, on a single TCP port. The project distinguishes itself through high-throughput data transport and memory efficiency, utilizing RDMA-based transport to bypass the kernel TCP stack and zero-copy memory management to eliminate data duplication. It also implements the Raft algorithm for consensus-based state replicatio

Camunda is a business process automation platform and orchestration tool used to model, deploy, and monitor automated workflows and human-centric tasks. It features a BPMN workflow engine for executing processes based on the BPMN 2.0 standard and a DMN decision engine for automating business logic and rule evaluation. The platform is designed for flexibility through an embedded workflow library that allows the engine to be integrated directly into custom applications. It supports multi-tenant workflow management, enabling the secure separation of process definitions and instance data for mult

Mox is a self-hosted email server that runs as a single compiled Go binary, handling the full lifecycle of sending and receiving email through SMTP, IMAP4rev2, and a built-in webmail application. It is designed to be operated without external dependencies or runtime plugins, with all mail services — including spam filtering, queue management, and web interfaces for administration and account management — contained in one executable. The server distinguishes itself through automated TLS certificate management via ACME, DNS-based autoconfiguration for email clients, and file-based configuration