Projects sharing features with Scrutiny

LibreNMS is an SNMP network monitoring system and IT infrastructure management suite. It serves as an automated network discovery tool and infrastructure dashboard, enabling the identification and monitoring of network hardware and operating systems. The system differentiates itself through a rule-based alerting engine and a comprehensive IT incident workflow integration. It supports complex alert routing, including escalation sequences and direct ticket generation for project management and service desk platforms. Its observability capabilities cover multi-vendor hardware oversight, applica

Riemann is a Clojure-based event stream processor and real-time analytics engine. It functions as a network telemetry pipeline and extensible event router that ingests, transforms, and routes event data from distributed systems. The system uses a domain-specific language to compute metrics and statistical patterns over continuous streams, enabling network trend analysis and real-time alerting. It supports dynamic plugin loading from the classpath and allows for live configuration reloading without interrupting active event streams. Capabilities include centralized telemetry aggregation, even

Nezha is a multi-server infrastructure monitor and website uptime monitor that provides a centralized dashboard for tracking real-time resource utilization and system health. It functions as a protocol server and alerting engine, utilizing remote agents to collect telemetry data across multiple operating systems. The system distinguishes itself with a web-based remote administration interface, allowing users to execute maintenance commands and manage scheduled tasks on remote hosts via a browser-based terminal. It also integrates a Model Context Protocol server to provide a secure HTTP entry

OpenObserve is a unified observability data platform designed to ingest, store, and analyze logs, metrics, and traces. It functions as a cloud-native monitoring tool that centralizes telemetry from diverse sources, including standard collectors and cloud service providers, into a single, scalable system. By utilizing a columnar storage engine backed by object storage, the platform enables efficient long-term data retention and high-performance analytical querying. The platform distinguishes itself through deep integration with artificial intelligence, allowing users to query data using natura

Flux is a Kubernetes GitOps delivery tool used to automate application deployments by synchronizing cluster state with configurations stored in Git, OCI, or Helm repositories. It functions as a set of controllers that monitor desired state in external sources and continuously reconcile the live cluster to match those definitions. The system distinguishes itself through a multi-cluster management plane that coordinates application delivery across fleets of remote clusters from a central hub. It provides a dedicated mechanism for automated image updates, which scans container registries for new

Glances is a cross-platform system monitoring tool designed to track real-time resource usage and hardware health metrics across diverse computing environments. It functions as a command-line utility that provides a unified view of system performance, identifying bottlenecks and maintaining infrastructure stability through a consistent abstraction layer that translates kernel calls into actionable data. The project distinguishes itself through its distributed capabilities, offering a web-based interface that enables remote access to live performance metrics from any device without requiring d

Healthchecks is a heartbeat monitoring service and cron job monitoring tool designed to track the execution and success of scheduled tasks and systemd timers. It functions as a dead man switch, alerting users when expected periodic signals from remote processes fail to arrive. The system accepts health signals via HTTP and SMTP, allowing it to track infrastructure heartbeats from sources ranging from CI/CD workflows to network routers. It distinguishes itself by supporting the capture of diagnostic data, including exit codes and execution logs, and by calculating the duration between start an

Kener is a self-hosted status page platform and uptime monitoring tool designed to track the health and availability of websites, APIs, and infrastructure components. It functions as an incident management system that automates the detection of service disruptions and provides a public-facing dashboard to communicate real-time system status and maintenance schedules to end users. The platform distinguishes itself through its multi-tenant architecture, which allows for the operation of multiple independent, branded status pages from a single installation. It supports deep customization of the

Prometheus is a comprehensive monitoring and alerting platform designed to track infrastructure health and application performance. It functions as a time series database that ingests, indexes, and queries high-frequency numerical data points. By utilizing a pull-based model, the system periodically collects multi-dimensional metrics from monitored targets, storing them in an optimized block storage format that supports high-throughput ingestion and efficient historical analysis. The platform distinguishes itself through a specialized query engine that enables real-time analysis of performanc

Cat is a distributed application performance monitoring tool and tracing framework designed to track transactions, latency, and health across distributed services. It functions as a Kubernetes-native monitoring stack that utilizes multi-language monitoring clients and a real-time alerting system to maintain system visibility. The system provides monitoring clients for Java, Go, Python, Node.js, and C++ to collect performance metrics and trace data. It distinguishes itself by sampling request flows to record call chains and identify bottlenecks, while using a monitoring engine to trigger immed

This project is a public health dataset providing historical and real-time COVID-19 case and death counts across the United States. It consists of a collection of CSV files containing time-series pandemic data organized by date, state, and county. The dataset includes specialized records for institutional outbreaks, tracking infection and death rates within correctional facilities, colleges, and universities. It also provides statistics on excess mortality to estimate total pandemic impact and survey-based data on mask usage prevalence across different counties. To facilitate geographic anal

Falcon Plus is an infrastructure monitoring platform designed to aggregate performance metrics from distributed agents and manage infrastructure health alerts. It functions as a containerized service orchestrator and a distributed metrics aggregator, providing a centralized system for routing monitoring data and exposing health statistics via a REST observability interface. The platform features a dedicated system alert manager that evaluates incoming performance data against predefined thresholds to trigger operational alarms. It employs a data pipeline to consolidate real-time metrics from

dockprom is a monitoring stack based on Prometheus and Grafana designed to track the performance of Docker containers and their underlying hosts. It functions as a complete solution for gathering real-time metrics and displaying them through a self-hosted dashboard. The project includes a suite of tools for collecting container and host metrics, as well as a discovery tool specifically for automatically identifying and adding tagged EC2 instances to the monitoring configuration. The system covers several observability areas, including time-series data storage and the creation of performance

Crucix is an open-source intelligence system comprising an OSINT aggregator, a geospatial intelligence dashboard, and an LLM intelligence agent. It functions as a real-time signal monitor and automated alerting system designed to collect, analyze, and visualize geopolitical, economic, and satellite data from diverse open-source intelligence sources. The system utilizes large language models to synthesize intelligence feeds, generate actionable trade ideas, and classify signal priority with confidence scores. It features a geospatial visualization interface that plots intelligence events, such

Pinpoint is a distributed application performance monitoring and tracing system. It functions as an application performance monitor and topology visualizer designed to analyze the execution behavior of large-scale distributed applications. The system uses bytecode instrumentation to monitor applications without requiring changes to the original source code. It captures call stacks and request flows across interconnected services to visualize system dependencies and generate real-time architectural maps of communication patterns. The platform covers a broad range of observability capabilities

This project is a reference library of architectural blueprints, study materials, and design patterns for building scalable, high-availability distributed systems. It serves as a technical guide for scalability engineering, providing structural solutions for common engineering challenges. The repository focuses on distributed systems design, covering essential patterns for data replication, consensus algorithms, and transaction management. It distinguishes itself by offering detailed blueprints for specialized domains, including real-time data streaming, large-scale data storage, and high-ava

Lighthouse CI is a continuous integration tool designed to automate web audits and detect performance, accessibility, and SEO regressions between code commits. It functions as a web performance regression suite that enforces resource budgets and runs automated quality checks during the software development lifecycle. The system distinguishes itself through the ability to block code merges if performance metrics fall below defined quality thresholds. It provides mechanisms for commit-to-commit comparison and cross-version site analysis to pinpoint specific resource improvements or regressions.

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

Cachet is a self-hosted, open-source status page system designed to communicate service uptime, incident history, and infrastructure performance to end users. It provides a centralized dashboard for managing the operational lifecycle of system components, tracking service disruptions, and scheduling maintenance windows. The platform distinguishes itself through a comprehensive RESTful API that enables programmatic status page management and automated incident reporting. It supports deep integration with external monitoring tools, allowing for the synchronization of performance metrics and the

Coroot is an observability platform and Kubernetes performance monitor that utilizes eBPF to automatically collect metrics, logs, and traces without requiring manual code instrumentation. It functions as an OpenTelemetry trace analyzer and an LLM observability gateway, exposing system health data to large language models through the Model Context Protocol. The platform differentiates itself by combining automated root cause analysis and AI-driven diagnostics to investigate performance regressions. It also includes a cloud cost monitoring tool that attributes infrastructure spending to specifi

Databasus is a self-hosted backup platform that automates PostgreSQL backups, verifies their restorability, and stores them across multiple destinations while managing team access with role-based permissions. It combines on-the-fly AES-256-GCM encryption, cron-driven scheduling, job-queue-based verification, multi-destination storage, WAL streaming, throwaway container restore testing, and workspace-based role access control into a unified backup system. The platform distinguishes itself through automatic backup verification that restores each backup into a temporary database container for in

Evidently is an AI observability platform and evaluation framework designed to quantify the performance of machine learning models and large language models. It functions as a monitoring tool for detecting data drift and quality degradation in tabular datasets, while providing a specialized analyzer for the faithfulness and correctness of retrieval augmented generation systems. The project distinguishes itself through an evaluation framework that utilizes judge models and custom rubrics to score language model outputs. It includes tools for iterative prompt optimization and the generation of

Kuvasz (pronounce as ˈkuvɒs) is an open-source uptime and SSL monitoring service, with multiple notification channels, status pages, IAC support via YAML, Prometheus integration, a complete REST API and many more!

Uptime Kuma is a self-hosted monitoring platform designed to track the availability and performance of network services and websites. It functions as a centralized dashboard that executes asynchronous health checks on a scheduled interval, providing real-time visibility into infrastructure health and service uptime. The platform distinguishes itself through a dedicated notification engine that dispatches alerts across multiple third-party messaging services, alongside a public status page generator that allows users to communicate service health and historical metrics via custom domains. Its

Cacti ™

Alerta monitoring system

Simple, lightweight, web-based system monitoring tool for small homeservers running Linux.