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29 Repos

Awesome GitHub RepositoriesEvent Monitoring Systems

Tools that monitor internal event buses to trigger reactions based on system-wide state changes.

Explore 29 awesome GitHub repositories matching system administration & monitoring · Event Monitoring Systems. Refine with filters or upvote what's useful.

Awesome Event Monitoring Systems GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • home-assistant/coreAvatar von home-assistant

    home-assistant/core

    87,753Auf GitHub ansehen↗

    Home Assistant is a centralized home automation platform designed to orchestrate diverse internet-connected devices and services. It functions as a local-first control system that normalizes heterogeneous hardware protocols into a unified set of entities, attributes, and services. The core architecture relies on an event-driven state bus and a modular integration model, allowing the system to manage state changes and communicate across decoupled components through standardized interfaces. The platform distinguishes itself through a highly flexible, declarative configuration framework that all

    Observes an internal event bus to react instantly to system-wide state changes, service calls, and automation events.

    Pythonasynciohacktoberfesthome-automation
    Auf GitHub ansehen↗87,753
  • apify/crawleeAvatar von apify

    apify/crawlee

    24,002Auf GitHub ansehen↗

    Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction pipelines. It provides a unified interface for managing headless browser automation and lightweight HTTP requests, allowing developers to handle complex web navigation, dynamic content rendering, and large-scale data collection within a single, modular architecture. The project distinguishes itself through its resource-aware concurrency controller, which dynamically scales task execution based on real-time CPU and memory usage to prevent host machine exhaustion. It also features a rob

    Tracks event loop latency to trigger overload signals and prevent system instability.

    TypeScriptapifyautomationcrawler
    Auf GitHub ansehen↗24,002
  • fosrl/pangolinAvatar von fosrl

    fosrl/pangolin

    21,255Auf GitHub ansehen↗

    Pangolin is a zero-trust remote access platform designed to provide secure, identity-aware connectivity to private network resources. It functions as a cloud-native network controller that orchestrates encrypted tunnels, traffic routing, and access policies across distributed environments. By leveraging WireGuard for secure data transport, the platform enables authenticated access to internal web applications, terminal sessions, and remote desktops without exposing services to the public internet. The platform distinguishes itself through a declarative infrastructure model that synchronizes n

    Monitors network sites and resources for status changes to trigger automated notifications or external actions.

    TypeScriptcrowdsecdockerhome-lab
    Auf GitHub ansehen↗21,255
  • kubernetes/kopsAvatar von kubernetes

    kubernetes/kops

    16,631Auf GitHub ansehen↗

    kops is a Kubernetes cluster provisioner and lifecycle manager designed to automate the creation, maintenance, and destruction of production-grade clusters on cloud infrastructure. It functions as a declarative infrastructure manager, synchronizing the live state of a cluster with versioned manifests stored in remote object storage to ensure idempotent operations. The project distinguishes itself by offering comprehensive automation for the entire cluster lifecycle, including high-availability control plane deployment, incremental rolling updates, and automated version upgrades. It also serve

    Adjusts the sampling frequency of monitoring data to provide higher resolution for faster troubleshooting.

    Gocncfcontainersgo
    Auf GitHub ansehen↗16,631
  • codebyzach/paceAvatar von CodeByZach

    CodeByZach/pace

    15,650Auf GitHub ansehen↗

    Pace is a browser-based utility that automatically monitors the loading state of web applications to provide visual feedback during page transitions and asynchronous operations. It functions as a frontend performance monitoring tool that tracks document readiness, network requests, and browser event loop activity to visualize progress without requiring manual markup changes. The library distinguishes itself by using automated tracking mechanisms that hook into native browser objects and document lifecycle events. By employing a state-machine-driven controller, it manages the visibility of pro

    Monitors event loop latency to detect main thread blocking and page load delays.

    CSSloading-animationloading-barloading-indicator
    Auf GitHub ansehen↗15,650
  • systemd/systemdAvatar von systemd

    systemd/systemd

    15,324Auf GitHub ansehen↗

    systemd is a comprehensive system and service manager for Linux that orchestrates the entire operating system lifecycle. It functions as the primary init system, managing the transition from firmware to a fully initialized user space while providing a unified framework for service orchestration, hardware management, and resource control. The project distinguishes itself through its declarative, unit-based configuration model and dynamic dependency resolution, which allow for efficient, on-demand service activation and socket-based process management. It integrates deep system observability th

    systemd enables runtime reporting of processing delays to assist in performance analysis of background process coordination.

    Ccinitlinux
    Auf GitHub ansehen↗15,324
  • ccfos/nightingaleAvatar von ccfos

    ccfos/nightingale

    13,108Auf GitHub ansehen↗

    Nightingale is a Prometheus-compatible monitoring and alerting platform designed to centralize telemetry management across multiple time-series databases. It functions as a multi-source alerting engine and metric data pipeline that ingests telemetry via remote write protocols and triggers alarms based on data from sources such as Prometheus, Elasticsearch, Loki, and ClickHouse. The system is distinguished by its automated alert healing system, which executes predefined scripts and RPC-based corrective actions when monitoring thresholds are breached. It supports distributed alert processing, a

    Uses AI to generate concise summaries of alert events for quicker insight into system issues.

    Goalertingccfmetrics
    Auf GitHub ansehen↗13,108
  • pipecat-ai/pipecatAvatar von pipecat-ai

    pipecat-ai/pipecat

    12,846Auf GitHub ansehen↗

    Pipecat is a framework and software development kit for building real-time multimodal AI agents and speech-to-speech systems. It utilizes a frame-based data pipeline to route audio, video, and text through a modular sequence of processors, enabling the orchestration of low-latency conversational AI. The project is distinguished by its ability to coordinate complex multimodal services, including speech-to-text, language models, and text-to-speech, within a single pipeline. It features semantic voice activity detection for natural turn-taking, state-machine conversation flows for dialogue manag

    Tracks room lifecycles, participant changes, and call states using programmable event handlers.

    Pythonaichatbot-frameworkchatbots
    Auf GitHub ansehen↗12,846
  • nasa/fprimeAvatar von nasa

    nasa/fprime

    10,766Auf GitHub ansehen↗

    F Prime ist ein komponentenbasiertes Framework für die Entwicklung und Bereitstellung von Embedded- und Raumfahrtsoftware. Es bietet eine modulare Architektur, die Softwarelogik von Kommunikationsschnittstellen entkoppelt und es Entwicklern ermöglicht, Systemstrukturen über eine domänenspezifische Modellierungssprache zu definieren. Dieser modellbasierte Ansatz ermöglicht eine automatisierte Codegenerierung, die Konsistenz über komplexe Systemtopologien hinweg gewährleistet und gleichzeitig strikte Schnittstellenverträge zwischen Softwaremodulen aufrechterhält. Das Framework zeichnet sich durch sein integriertes Build-System und eine Suite für Bodendatenoperationen aus. Es automatisiert den gesamten Lebenszyklus von Embedded-Software, von der Cross-Kompilierung und dem Abhängigkeitsmanagement bis hin zur Generierung von Telemetrie- und Befehlsschnittstellen. Durch die Bereitstellung einer einheitlichen Umgebung für Onboard-Flugsoftware und bodengestützte Überwachung erleichtert es die nahtlose Integration, das Testen sowie die Steuerung und Überwachung verteilter Embedded-Systeme über verschiedene Hardwareplattformen hinweg. Über die Kernarchitektur hinaus enthält das Projekt umfassende Werkzeuge für die Systembeobachtbarkeit, einschließlich Echtzeit-Telemetrie-Visualisierung, Ereignisprotokollierung und diagnostischer Tracing-Funktionen. Es unterstützt eine breite Palette von Bereitstellungsszenarien, von Bare-Metal-Umgebungen bis hin zu Echtzeitbetriebssystemen, und bietet Mechanismen für Speicherverwaltung, zustandsgesteuerte Verhaltensmodellierung und asynchrone Aufgabenausführung. Das Projekt wird als C++-Repository mit umfangreicher Dokumentation und Build-System-Unterstützung für die plattformübergreifende Entwicklung gepflegt.

    Verifies critical system components remain active by sending periodic ping requests and escalating on timeouts.

    C++componentscppembedded
    Auf GitHub ansehen↗10,766
  • resilience4j/resilience4jAvatar von resilience4j

    resilience4j/resilience4j

    10,689Auf GitHub ansehen↗

    Resilience4j is a fault tolerance library for Java 8 applications designed to handle failures in distributed systems. It provides a comprehensive suite of resilience patterns including resource isolation, request throttling, retries, and timeouts. The project implements specific stability mechanisms such as circuit breakers to prevent cascading failures, bulkheads for system resource isolation, and rate limiters to cap execution rates. It also includes a retry framework with backoff policies and timeout enforcement to manage transient faults and maximum execution durations. Additional capabi

    Ships an event-driven streaming system that publishes state transitions and execution results for external monitoring.

    Javabulkheadcircuitbreakermetrics
    Auf GitHub ansehen↗10,689
  • tidwall/tile38Avatar von tidwall

    tidwall/tile38

    9,672Auf GitHub ansehen↗

    Tile38 is an in-memory geospatial database that uses the Redis protocol for communication and query execution. It serves as a distributed spatial store for points and polygons, featuring high availability through leader-follower replication and disk-based persistence. The system includes a real-time geofencing engine that monitors virtual geographic boundaries and triggers webhooks when objects enter or exit specified areas. It further distinguishes itself with an embedded Lua scripting engine for server-side data transformations and a built-in vector tile server for efficient map visualizati

    Tracks virtual boundary crossings in real-time to trigger automated notifications and webhooks.

    Go
    Auf GitHub ansehen↗9,672
  • livekit/agentsAvatar von livekit

    livekit/agents

    9,379Auf GitHub ansehen↗

    This project is a framework for developing multimodal AI agents that function as programmable participants in real-time communication rooms. It enables the construction of agents that can see, hear, and speak by integrating speech-to-text, large language models, and text-to-speech pipelines to facilitate low-latency, natural conversations. The system is distinguished by its advanced orchestration of real-time media and conversational flow, including support for full-duplex speech, preemptive response generation, and sophisticated interruption management. It further differentiates itself throu

    Uses webhooks and notifications to respond to real-time changes in communication rooms and participants.

    Pythonagentsaiopenai
    Auf GitHub ansehen↗9,379
  • hashicorp/raftAvatar von hashicorp

    hashicorp/raft

    9,037Auf GitHub ansehen↗

    This is a Raft consensus library and distributed consensus engine implemented in Go. It provides the primitives necessary to build fault-tolerant distributed services by implementing a replicated state machine that ensures a group of servers agree on a shared system state through leader election and log replication. The project distinguishes itself through a pluggable architecture for storage backends and snapshot storage, decoupling the consensus logic from physical persistence. It includes specialized mechanisms for leadership transfer, protocol version management to support rolling upgrade

    Measures event loop saturation to detect potential system instability and processing delays.

    Go
    Auf GitHub ansehen↗9,037
  • falcosecurity/falcoAvatar von falcosecurity

    falcosecurity/falco

    8,670Auf GitHub ansehen↗

    Falco is an eBPF runtime security monitor and cloud native detection engine that identifies abnormal behavior and security threats across hosts and containers. It functions as a Linux kernel event auditor, capturing system calls and kernel events in real-time to detect malicious activity. The system distinguishes itself through a rule-based threat detection model that evaluates system activity against a library of community-maintained rules and custom security definitions. It enriches raw kernel events with container and Kubernetes metadata to provide observability into isolated environments

    Balances detection depth and system performance by adjusting tracked system calls based on environment requirements.

    C++cloud-nativecncfcncf-project
    Auf GitHub ansehen↗8,670
  • apify/crawlee-pythonAvatar von apify

    apify/crawlee-python

    8,097Auf GitHub ansehen↗

    Crawlee-python is a web crawling framework for building scalable scrapers using Python. It serves as a comprehensive tool for web scraping automation, providing a system to extract structured data from websites using both lightweight HTTP requests and headless browser automation. The framework is distinguished by its anti-bot evasion capabilities, which include browser fingerprint impersonation and tiered proxy rotation to bypass detection systems and solve challenges such as Cloudflare. It also incorporates artificial intelligence for autonomous website navigation and schema-based data extra

    Monitors event loop delay to detect system instability and trigger overload signals.

    Pythonapifyautomationbeautifulsoup
    Auf GitHub ansehen↗8,097
  • yelp/elastalertAvatar von Yelp

    Yelp/elastalert

    7,994Auf GitHub ansehen↗

    ElastAlert is an alerting framework and query monitor for Elasticsearch. It functions as a real-time log monitoring tool and event notification engine that scans indices for specific patterns to trigger automated alerts when predefined rules are matched. The system distinguishes itself through specialized detection logic, including event spike detection, event frequency monitoring, field change tracking, and the identification of new terms within data fields. It handles notification noise via stateful alert suppression to prevent redundant messages and provides time-windowed aggregation to gr

    Provides alerting based on the frequency of specific events occurring within a defined time window.

    Python
    Auf GitHub ansehen↗7,994
  • fluxcd/flux2Avatar von fluxcd

    fluxcd/flux2

    7,888Auf GitHub ansehen↗

    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

    Monitors system-level events to track the progress and success of GitOps synchronization tasks.

    Gocontinuous-deliverygitopsgitops-toolkit
    Auf GitHub ansehen↗7,888
  • olifolkerd/tabulatorAvatar von olifolkerd

    olifolkerd/tabulator

    7,550Auf GitHub ansehen↗

    Tabulator is an interactive data table library and virtual DOM data grid used to create high-performance tables from JSON or arrays. It functions as a hierarchical data viewer and a spreadsheet interface component, capable of rendering thousands of records efficiently through viewport-based virtualization and progressive loading. The library distinguishes itself by providing a full spreadsheet interface mode with multi-sheet management, cell range selection, and bulk copy-paste capabilities. It supports complex data architectures, including nested data field mapping, expandable tree structure

    Logs internal and external event triggers to the console for debugging and monitoring system-wide state changes.

    JavaScriptajaxcdnjsdata
    Auf GitHub ansehen↗7,550
  • hpneo/gmapsAvatar von HPNeo

    HPNeo/gmaps

    6,984Auf GitHub ansehen↗

    gmaps is a library that provides a wrapper for the Google Maps API, serving as a geospatial data toolkit and interactive map renderer. It simplifies the integration of interactive maps into web applications by managing the embedding of map views and the lifecycle of markers. The project distinguishes itself through a specialized set of utilities for geocoding, which converts physical addresses to geographic coordinates and vice versa. It also includes a static map generator for creating non-interactive map images for lightweight environments. The capability surface covers geographic data vis

    Monitors geographic boundary intersections to detect when markers enter or leave predefined regions.

    JavaScript
    Auf GitHub ansehen↗6,984
  • lmcache/lmcacheAvatar von LMCache

    LMCache/LMCache

    6,909Auf GitHub ansehen↗

    LMCache is a distributed key-value cache manager and tiering system designed to accelerate large language model inference. It functions as a tiered storage layer that offloads tensors from GPU memory to CPU RAM, local disks, or remote object stores, enabling the reuse of cached prefixes across different inference sessions and serving engines. The system differentiates itself through a disaggregated prefill-decode model, which separates prompt processing from token generation by transferring caches between distributed compute nodes. It utilizes peer-to-peer orchestration to share and retrieve

    Monitors internal event bus metrics including queue depth and drain lag to ensure system stability.

    Pythonamdcudafast
    Auf GitHub ansehen↗6,909
Vorherige12Nächste
  1. Home
  2. System Administration & Monitoring
  3. Monitoring and Observability
  4. Observability Platforms
  5. Operational Health and Alerting
  6. Event Monitoring Systems

Unter-Tags erkunden

  • AI Event SummarizationGenerates concise, natural-language summaries of monitoring events using large language models. **Distinct from Event Monitoring Systems:** Distinct from event monitoring systems by using AI to summarize alert context rather than just detecting event state changes.
  • Conversation Event MonitoringMonitoring internal event buses to trigger reactions based on the creation or update of conversation items. **Distinct from Event Monitoring Systems:** Focuses on semantic conversation items rather than general system-wide state changes.
  • Event Frequency Monitoring2 Sub-TagsMonitoring rules that trigger alerts based on the count of events within a specific time window. **Distinct from Event Monitoring Systems:** Focuses on the threshold of event counts over time, rather than general system-wide state changes.
  • Event Loop Latency Monitors1 Sub-TagTools for tracking event loop delay to detect system instability. **Distinct from Event Monitoring Systems:** Focuses on latency-based overload signaling, whereas Event Monitoring Systems focus on general event bus monitoring.
  • Geofence Event Tracking1 Sub-TagMonitoring of geographic boundary intersections to trigger system reactions. **Distinct from Event Monitoring Systems:** Distinct from general event monitoring by focusing specifically on spatial boundary transitions.
  • Monitoring Performance Tuning1 Sub-TagOptimization of the balance between detection depth and system resource consumption. **Distinct from Event Monitoring Systems:** Focuses on tuning the breadth of syscall tracking for performance, not ML model optimization.