Open-source alternatives to Falcon Plus

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

Keep is an open-source AIOps alert management platform that aggregates, deduplicates, and orchestrates the lifecycle of alerts from multiple monitoring tools. It functions as a multi-provider integration hub to centralize the flow of data between observability, ticketing, and communication tools. The platform distinguishes itself through incident workflow automation and AI-powered enrichment. It uses a declarative workflow engine to execute multi-step operational sequences and integrates large language models to summarize event data and correlate technical logs for faster incident resolution.

pyload is a Python-based download manager that automates file transfers from web hosters and cloud storage services. It functions as a modular task automator, utilizing a plugin-based architecture to handle site-specific connection protocols and decryption requirements. The system provides multiple ways to interact with the download queue, including a centralized web-based dashboard for remote management and a terminal interface for command-line control. It also acts as a REST API download controller, exposing system functions and status tracking to external applications through an OpenAPI-co

Netdata is a distributed observability platform designed for real-time infrastructure monitoring and performance tracking. It functions as a high-frequency agent that collects system, container, and application metrics with per-second precision, providing both local visualization and centralized aggregation across complex, multi-cloud environments. The platform distinguishes itself through edge-based intelligence, utilizing local machine learning models to automatically detect performance anomalies without requiring manual configuration or external query engines. Its architecture prioritizes

Scrutiny is a distributed hardware monitoring system and predictive drive failure analyzer. It provides a centralized management platform and web-based dashboard for tracking hard drive health and S.M.A.R.T. metrics across multiple remote servers. The system functions as a S.M.A.R.T. alerting gateway and storage health trend visualizer. It estimates hardware risk by comparing drive attributes against real-world failure thresholds and records historical data to identify gradual degradation patterns that may not trigger immediate alerts. Capabilities include distributed data collection via rem

ServerStatus is an infrastructure observability platform and multi-server monitoring dashboard. It utilizes a system of remote agent-based metrics collectors to gather server telemetry and push that data to a central server via HTTP. The platform provides a centralized web interface for tracking the real-time health, resource usage, and availability of multiple remote servers. It includes a threshold-based alerting system that triggers notifications when server resource metrics exceed predefined limits or watchdogs. The system covers cloud infrastructure observability through remote resource

Beszel is a self-hosted server monitoring platform designed to track real-time performance metrics across multiple host systems and containerized environments. It functions as a centralized dashboard that aggregates data on processor, memory, disk, and network usage, providing visibility into both host-level infrastructure and individual container workloads. The system utilizes lightweight agents to collect performance data, which is then streamed to a central hub and stored in a local relational database. It distinguishes itself through a real-time analytics engine that uses persistent bidir

DeepOps is a full-stack observability platform and application performance monitoring tool. It serves as a distributed service observability suite designed to track response times, resource usage, and service health across diverse infrastructure layers. The platform functions as a cross-stack telemetry aggregator, unifying metrics and logs into a single data stream. It incorporates a heuristic anomaly detection system that analyzes performance baselines to identify statistical outliers and predict operational failures. The system covers a broad range of monitoring capabilities, including rea

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

SpringCloud is a development platform for building distributed systems and cloud-native microservices. It provides an integrated framework for microservice development, incorporating service governance, security, and system coordination. The platform features a microservice gateway for managing traffic through dynamic routing and rate limiting, alongside a service registry for discovery. It implements distributed security through token-based authentication, role-based access control, and a specialized system that uses aspect-oriented programming to automatically enforce data-level permissions

Cabot is a self-hosted incident management platform and monitoring alert manager. It serves as a centralized system for receiving external monitoring data, managing on-call responder rotations, and dispatching incident notifications to administrators to ensure prompt resolution of system failures. The platform provides a containerized monitoring interface and a REST API for programmatically creating and modifying monitoring data and incident reports. It coordinates the routing of critical system alerts and manages the scheduling of personnel for on-call rotations. The system includes capabil

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

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

Lets-chat is a self-hosted team communication platform and XMPP chat server designed for private messaging. It provides a containerized communication environment for small teams to exchange messages and files, featuring a programmable REST API for automating conversations and managing messages from external tools. The platform functions as an XMPP gateway and server, ensuring interoperability with other compliant messaging clients. It distinguishes itself by supporting enterprise identity management, allowing administrators to verify user identities through local accounts or external director

RPi-Monitor is a monitoring suite designed for embedded Linux environments and single-board computers. It provides a framework for gathering real-time hardware telemetry, tracking system performance metrics, and visualizing data through a web-based dashboard. The system is built to handle long-term data persistence by utilizing fixed-size round-robin databases, ensuring historical records are maintained without exceeding storage capacity. The project distinguishes itself through its focus on embedded hardware integration and flexible deployment. It supports the monitoring of external physical

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

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

Grafana is an observability data platform designed to aggregate metrics, logs, and traces from diverse sources into a unified environment. It functions as a centralized interface for visualizing complex telemetry data, transforming raw streams into interactive dashboards that support real-time system health tracking and performance monitoring. The platform distinguishes itself through a plugin-based modular architecture that integrates disparate databases, cloud services, and monitoring tools via a standardized data abstraction layer. This framework allows for the dynamic loading of external

OpenSearch is a distributed search and analytics engine designed for indexing, searching, and analyzing massive volumes of structured and unstructured data in real time. It functions as a comprehensive platform that integrates enterprise-grade search capabilities, a vector database for high-dimensional similarity lookups, and a unified observability suite for monitoring logs, metrics, and traces across complex distributed environments. The platform distinguishes itself through its support for agentic workflow automation, allowing users to orchestrate multi-agent tasks and integrate foundation

Gotenberg is a stateless, containerized service that provides a unified API for document conversion, manipulation, and web-to-PDF rendering. It functions as a centralized engine that abstracts complex document processing tasks, allowing users to interact with various rendering tools and libraries through standard HTTP requests. The service distinguishes itself by utilizing headless browser automation to capture web content and by wrapping multiple specialized PDF engines into a single interface. It supports asynchronous task execution, offloading resource-intensive operations to background wo

cAdvisor is a container resource monitoring agent and performance analyzer that collects and exports CPU, memory, network, and disk usage statistics from running containers. It functions as a telemetry tool for discovering containers across various runtimes and serves as a Prometheus-compatible metrics exporter. The agent distinguishes itself by analyzing Linux control groups to provide visibility into resource consumption and limits. It utilizes kernel perf events and NUMA statistics for low-level hardware performance tracking and diagnostics, and it can identify out-of-memory kill events th

ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

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

SkyWalking is an application performance monitoring system and observability platform designed to collect and analyze metrics, traces, and logs from distributed microservices. It functions as a distributed tracing platform and a telemetry data pipeline that ingests and aggregates observability data from various language agents. The project features an AI-powered anomaly detector that uses machine learning to calculate metric baselines and identify irregular URI patterns. It includes an eBPF performance profiler for diagnosing CPU and network bottlenecks at the kernel level and generates inter

Sampler is a shell command monitoring tool and terminal-based metrics dashboard. It functions as a YAML-configured shell orchestrator that executes commands at set intervals to collect data and monitor system metrics. The tool distinguishes itself by rendering real-time shell output as terminal widgets, such as sparklines, gauges, bar charts, and run charts. It also includes a conditional alerting system that triggers audio notifications, visual alerts, or secondary shell commands when sampled output matches predefined data conditions. The project covers broad capability areas including shel

Lucida is a multimodal AI assistant framework and containerized microservice orchestrator. It provides a platform for building agents that process and integrate speech, vision, and text inputs to perform intelligent tasks, supported by a retrieval-augmented generation system for storing and querying factual data from texts, URLs, and images. The framework features a state-graph workflow engine to route user requests through a sequence of microservices using a predefined state machine. It also includes an extensible plugin interface that allows for the integration of custom functional modules

Qinglong is a containerized task scheduler and automation platform designed to orchestrate recurring background jobs. It provides a centralized dashboard for managing, scheduling, and executing scripts across multiple programming languages, ensuring consistent environments through isolated container-based execution. The platform distinguishes itself by integrating remote repository synchronization, allowing users to clone and update external script collections directly within the system. It combines this with comprehensive environment variable management, enabling the secure storage of creden