Best Self Hosted Alternatives to LogicMonitor

Netdata is an open-source, agent-based observability platform that collects, stores, and visualizes per-second metrics across infrastructure and applications. It combines a lightweight edge agent, a tiered time-series store, and optional centralized Cloud/Parent components for unified views and collaboration. (netdata.cloud)

Key Features

• Per-second, real-time metrics collection with millisecond responsiveness and auto-generated dashboards. (raw.githubusercontent.com)
• Edge-based machine learning: unsupervised anomaly detection and per-metric ML models running on the agent. (raw.githubusercontent.com)
• Tiered, high-efficiency time-series storage (compact samples, ZSTD compression) with configurable retention and archiving. (raw.githubusercontent.com)
• Distributed Parent–Child streaming pipeline for horizontal scaling, multi-node aggregation, and long-term retention. (raw.githubusercontent.com)
• Broad integrations (800+ collectors) and export/archival targets including Prometheus, InfluxDB, OpenTSDB, and Graphite. (raw.githubusercontent.com)
• Low resource footprint (designed for minimal CPU/RAM impact) and zero-configuration auto-discovery on supported platforms. (raw.githubusercontent.com)

Use Cases

• Infrastructure and system monitoring: per-second visibility into CPU, memory, disks, network, sensors, and kernel metrics. (raw.githubusercontent.com)
• Container and Kubernetes observability: native containerd/Docker and Kubernetes integrations for pod, node, and cluster troubleshooting. (raw.githubusercontent.com)
• Incident troubleshooting and AIOps: anomaly detection, root-cause analysis, blast-radius identification, and automated reporting to accelerate incident resolution. (netdata.cloud)

Limitations and Considerations

• The Netdata UI and Netdata Cloud components are delivered as closed-source offerings while the Agent is open-source; organizations requiring fully open-source stacks should evaluate this split. (raw.githubusercontent.com)
• OpenTelemetry support is noted as "coming soon" in documentation; users relying heavily on OpenTelemetry may need to plan integrations or use exporters. (raw.githubusercontent.com)
• Feature parity varies by platform (Linux has the most comprehensive coverage); some platform-specific collectors or deep kernel metrics are not available everywhere. (raw.githubusercontent.com)

Netdata offers a high-resolution, low-overhead approach to full-stack monitoring with built-in ML and flexible scaling via Parents and Netdata Cloud. It is well-suited for teams needing real-time troubleshooting, container/Kubernetes visibility, and efficient time-series retention while weighing the tradeoffs of closed-source UI/cloud components.

Prometheus is an open-source systems and service monitoring platform built around a time-series database. It collects metrics from instrumented targets, lets you query them with PromQL, and supports alerting based on rules.

Key Features

• Multi-dimensional time series data model using labels for flexible filtering and aggregation
• PromQL query language for ad-hoc analysis, dashboards, and alert conditions
• Pull-based metric scraping over HTTP with support for static configs and service discovery
• Alert rule evaluation with alert generation (commonly paired with Alertmanager)
• Federation support for hierarchical and cross-environment aggregation
• Remote write/read integrations for long-term storage and interoperability

Use Cases

• Monitoring Kubernetes clusters and cloud-native services via dynamic service discovery
• Application and infrastructure telemetry for SRE/DevOps dashboards and alerting
• Central metrics collection for microservices, batch jobs (via push gateway patterns), and exporters

Limitations and Considerations

• Built-in storage is optimized for a single-node TSDB; long-term retention and global scale typically require external remote storage integrations

Prometheus is a strong fit when you want a reliable, standards-based metrics platform with powerful querying and a broad ecosystem of exporters and integrations. It is widely used for cloud-native monitoring and alert-driven operations.

Glances is an open-source, cross-platform system monitoring tool designed as an alternative to tools like top/htop. It provides real-time insights into system resources and processes, and supports local or remote monitoring via terminal, web interface, and APIs.

Key Features

• Terminal-based dashboard showing CPU, memory, load, processes, disk I/O, network, filesystem, uptime, and system info
• Built-in web UI for monitoring from a browser on any device
• Client/server modes for remote monitoring, including discovery of available Glances servers
• RESTful JSON API and XML-RPC server for integrations and automation
• Pluggable architecture with plugins for sensors and hardware metrics (e.g., temperatures and fan speeds)
• Container monitoring support (notably Docker and Podman)
• Export metrics to external systems or files, including CSV and JSON outputs

Use Cases

• Monitoring a single server or workstation interactively from the terminal
• Remote monitoring of multiple machines via web UI or API integrations
• Exporting system metrics to external databases or monitoring pipelines

Limitations and Considerations

• Some functionality (web UI, specific plugins, exports) requires optional dependencies beyond the minimal installation

Glances fits well when you want a lightweight, interactive overview of system health while also enabling programmatic access and metric exports for broader observability workflows. Its cross-platform support makes it practical for mixed OS environments.

SigNoz is an open-source observability platform designed to collect, store, and visualize logs, metrics, and traces in a single interface. Built on OpenTelemetry, SigNoz enables correlated signals and unified dashboards, with ClickHouse serving as the log datastore. (github.com)

Key Features

• Unified observability across logs, metrics, and traces
• OpenTelemetry-native ingestion with semantic conventions
• ClickHouse-backed log storage for fast queries
• DIY query builder, PromQL support, and flexible dashboards
• Alerts across signals with anomaly detection capabilities
• Tracing visuals including flamegraphs and detailed span views

Use Cases

• Instrumenting applications with OpenTelemetry to achieve end-to-end visibility across services
• Correlating logs, metrics, and traces to troubleshoot microservices and distributed systems
• Providing centralized observability for cloud-native environments with unified dashboards

Conclusion: SigNoz offers a single, OpenTelemetry-native platform to observe modern applications through correlated signals, scalable storage, and flexible visualization and alerting capabilities. It emphasizes openness, data correlation, and end-to-end debugging across logs, metrics, and traces.

cAdvisor (Container Advisor) is a daemon that monitors running containers and the host machine to provide visibility into resource usage and performance characteristics. It collects, aggregates, processes, and exports container-level and machine-wide statistics.

Key Features

• Per-container metrics including CPU, memory, filesystem, and network statistics
• Historical resource usage with summaries and histograms
• Built-in web UI for interactive inspection of container and host metrics
• Versioned remote REST API for raw and processed stats
• Export support via storage plugins for external backends
• Works with Docker and is designed to support other container runtimes via a container abstraction model

Use Cases

• Monitoring container resource consumption on single hosts
• Feeding container metrics into an observability pipeline via supported exports
• Troubleshooting noisy-neighbor and resource isolation issues in container environments

Limitations and Considerations

• Accurate collection typically requires elevated access and visibility into host/container runtime paths and kernel interfaces
• Feature availability and metric detail can vary depending on container runtime and host OS configuration

cAdvisor is a practical foundation for container monitoring, offering both a lightweight UI for quick inspection and APIs/exports for integration into larger monitoring stacks. It is commonly deployed as a host-level daemon, including in orchestrated environments where per-node metrics are needed.

Beszel is a lightweight server monitoring platform built around a central hub and per-host agents. It collects historical system metrics and container statistics and presents them in a simple web interface with alerting.

Key Features

• Hub-and-agent architecture for monitoring multiple systems from a single dashboard
• Historical metrics for host resources (CPU, memory, disk usage and I/O, network, load)
• Docker and Podman container stats with per-container CPU, memory, and network history
• Configurable alerts for CPU, memory, disk, bandwidth, temperature, load average, and system status
• Multi-user support with admin sharing of monitored systems
• OAuth2/OIDC authentication with optional password-auth disablement
• Automatic backups with restore support, including S3-compatible storage targets
• REST API for integrating metrics and management into scripts and applications

Use Cases

• Homelab or small fleet monitoring with minimal resource overhead
• Tracking server and container performance trends over time
• Basic alerting for capacity and health signals (disk, bandwidth, temperature, uptime)

Beszel fits teams and individuals who want straightforward monitoring without the complexity of larger observability stacks. Its small footprint, container awareness, and built-in backups make it practical for self-managed environments.

Scrutiny is a self-hosted web application for monitoring disk health by collecting SMART data from smartd and correlating it with real-world failure rates. It auto-detects connected drives, tracks SMART metrics over time, and provides a focused dashboard with configurable alerts.

Key Features

• Web UI dashboard focused on critical SMART metrics
• Integration with smartd for data collection (no re-invention of SMART parsing)
• Auto-detection of all connected drives
• Historical SMART metric tracking and trend visualization
• Thresholds informed by real-world drive failure data
• Temperature monitoring
• Docker-based deployment with an omnibus image (web + collector) and options for manual install
• Configurable alerting/notifications via Webhooks and other channels
• Hub/Spoke deployment support (separate web, collector, and storage components)

Use Cases

• Centralized monitoring of multiple disks in servers, NAS, or data centers
• Proactive maintenance through alerts when SMART attributes change
• Long-term health trend analysis to inform replacement cycles or capacity planning

Limitations and Considerations

• Scrutiny is a work-in-progress and may have rough edges or incomplete features
• Requires privileged access to host devices to query SMART data (e.g., capability flags for containers)
• Some RAID controllers or USB-docked drives may require manual configuration to expose SMART data

Conclusion

Scrutiny provides a focused, self-contained solution for monitoring disk health via SMART data, with flexible deployment options and alerting to help mitigate data-loss risk.

WatchYourLAN is a lightweight network IP scanner that continuously discovers devices on your local network using ARP scanning and presents results in a web interface. It helps you keep an inventory of hosts, track availability over time, and get notified when new devices appear.

Key Features

• Web GUI to view discovered hosts and their status
• New-host detection with notifications via Shoutrrr-supported channels
• Online/offline history tracking with configurable retention
• Host list/inventory for the scanned interfaces
• Optional metrics export via Prometheus endpoint and InfluxDB 2.x integration for Grafana dashboards
• Supports SQLite by default, with optional PostgreSQL storage
• Configurable via web UI, config file, or environment variables

Use Cases

• Detect unknown devices joining a home or office LAN
• Track device availability and troubleshoot intermittent connectivity
• Feed LAN device presence metrics into Prometheus/InfluxDB and visualize in Grafana

Limitations and Considerations

• No built-in authentication; access should be protected with a reverse proxy/SSO layer or network controls
• Requires ARP scanning capabilities and typically needs host networking to scan the LAN effectively

WatchYourLAN is a practical choice for lightweight LAN discovery and basic intrusion awareness, with a simple UI and integrations for notifications and observability stacks. It fits well in homelabs and small networks where continuous device monitoring is needed.

Zabbix is an enterprise-class, open-source distributed monitoring and observability solution for tracking performance and availability across IT and OT environments. It collects metrics from agents and agentless sources and provides centralized visibility, alerting, and reporting.

Key Features

• Agent-based and agentless metric collection for servers, network devices, services, and applications
• Automatic discovery and template-based monitoring for rapid onboarding
• Real-time problem detection, correlation, and root-cause analysis workflows
• Flexible alerting and notifications with multiple delivery channels and integrations
• Dashboards and visualizations including graphs, maps, and topology views
• Distributed monitoring for remote sites and large environments, including multi-tenant use
• Built-in reporting, auditing, SLA calculations, and HTTP-based data streaming

Use Cases

• Infrastructure monitoring for networks, servers, virtual machines, and container platforms
• Application and service monitoring with proactive alerting and SLA tracking
• Centralized observability for multi-site or managed service provider environments

Zabbix is a mature, scalable platform suited for organizations that need deep visibility across diverse systems with strong alerting and flexible data collection options. It can serve as a unified monitoring backbone for both small deployments and large, distributed environments.

NetAlertX is a network visibility and alerting service that scans your LAN/Wi‑Fi to discover connected devices and detect presence, reconnections, disconnects, and other changes. It helps you maintain an accurate device inventory and get notified when something unexpected appears on your network.

Key Features

• Scheduled network scans to detect new, unknown, or returning devices
• Change detection for device status and network attributes (for example IP changes)
• Multiple discovery/import methods (such as ARP scanning, DHCP lease import, Pi-hole imports, UniFi controller import, and SNMP router import)
• Extensible plugin system for custom scanners and integrations, with UI generation support
• Web UI for device inventory, status history, and network overview
• Notifications via multiple gateways (including NTFY, Pushover, Pushsafer, and Apprise-supported services)
• Integrations via API endpoints and webhooks, including smart-home workflows

Use Cases

• Detect and alert on unauthorized or unexpected devices joining a home or small-office network
• Presence detection to trigger automations when key devices arrive or leave
• Build and maintain a lightweight network source of truth and device inventory

Limitations and Considerations

• Some scan methods (notably ARP-based scanning) may not discover devices across different subnets without additional network setup
• Low-level scanning can require elevated network permissions depending on the deployment environment

NetAlertX is well-suited for homelabs and small networks where you want straightforward device discovery, change tracking, and actionable alerts. Its plugin and notification ecosystem makes it adaptable to different network setups and automation needs.

Pulse is a unified monitoring platform that brings Proxmox (VE/PBS/PMG), Docker/Podman, and Kubernetes visibility into a single dashboard. It combines real-time health, historical metrics, and alerting, with optional AI-assisted insights for troubleshooting and root-cause analysis.

Key Features

• Unified dashboard for nodes, VMs, containers, and Kubernetes workloads
• Agent-based monitoring with platform auto-detection
• Persistent metrics history with configurable retention
• Smart alerting with webhook-based notifications and integrations
• Proxmox-focused capabilities like backup visibility (PBS) and related infrastructure views
• Optional AI assistant features for natural-language querying and alert/finding analysis
• Security-oriented design including credential encryption at rest and scoped access
• SSO support via OIDC for centralized authentication

Use Cases

• Monitor a homelab or SMB stack running Proxmox plus Docker and/or Kubernetes
• Consolidate multiple hosts/clusters into a “single pane of glass” dashboard
• Reduce noisy alerting by correlating issues and investigating incidents faster

Pulse is well-suited for operators who want practical infrastructure monitoring without building a large, complex observability stack. Its unified agent and Proxmox-first focus make it particularly attractive for Proxmox-centric environments.

Scanopy is a network discovery and documentation platform that scans your environment to identify hosts, services, and how they connect. It generates interactive topology diagrams that stay up to date through scheduled and distributed discovery.

Key Features

• Automatic discovery of hosts, subnets, and service relationships
• Interactive topology visualization with customization for clear network diagrams
• 200+ built-in service definitions to identify common infrastructure and applications
• Distributed scanning using deployable daemons across network segments and VLANs
• Docker-aware discovery to map containerized services
• Multi-user organization management with role-based permissions
• Change tracking and versioning to compare network state over time
• Export and sharing options for diagrams and live views

Use Cases

• Homelab and multi-VLAN network documentation without manual diagram maintenance
• IT and DevOps inventory and dependency mapping across servers and container stacks
• Audit, compliance, and exposure reviews by visualizing reachable services and misconfigurations

Limitations and Considerations

• Some features and collaboration workflows may be oriented toward organizational use (multi-user, roles), which can add complexity for very small setups

Scanopy is well-suited for teams and individuals who want continuously updated network diagrams and documentation generated from real discovery data. It reduces ongoing documentation effort while improving visibility into network topology and exposed services.

Dashdot is a modern server dashboard designed for smaller private servers. It provides a real-time overview of host metrics and system status via a polished glassy UI.

Key Features

• Real-time system metrics including CPU, memory, disk, and network usage presented in a responsive dashboard
• Web-based UI built with React and Node.js, designed for easy self-hosted deployment
• Docker-based quick-install with multi-architecture images (AMD64 and ARM)
• Lightweight, glassmorphism design with customizable widgets
• Comprehensive installation and configuration options documented on the official site
• Live demo available for exploration in the project’s official repository's demo

Use Cases

• Monitoring small private servers and home labs
• Observability of multiple VPS or private servers from a single dashboard
• Quick on-boarding for admins needing at-a-glance status of disks, networks, memory, and CPU

Limitations and Considerations

• The speed test feature can consume significant bandwidth; you can reduce impact by adjusting the speed test interval via an environment variable as described in the installation docs

Conclusion

Dashdot provides real-time server metrics through a modern, self-hosted dashboard. It can be deployed via Docker and explored via a live demo; official docs cover installation and configuration.

SmokePing is an active monitoring system for measuring network latency, latency variation (jitter), and packet loss. It continuously runs probes, stores long-term time-series results, and presents interactive graphs via a web interface.

Key Features

• Measures latency, latency distribution, jitter, and packet loss over time
• RRDtool-based long-term datastore and graph generation
• Extensible probe architecture (from ICMP ping to HTTP and custom protocols)
• Configurable alarm system that triggers on defined latency patterns
• Master/slave model to run measurements from multiple source locations
• Web UI with CGI rendering and Ajax-based interactive graph navigation/zooming
• Customizable presentation via web templates and configuration

Use Cases

• Track ISP or site-to-site link quality and detect intermittent packet loss
• Compare latency to the same targets from multiple locations using distributed probes
• Alert on recurring latency spikes that impact voice, video, or critical services

SmokePing is a mature choice for long-term visibility into network performance, combining flexible probing, efficient time-series storage, and clear visualization. It fits well in NOC, homelab, and multi-site environments where understanding latency patterns matters.

LoggiFly is a lightweight log-monitoring service that watches container logs for predefined keywords or regular expressions and sends notifications when matches occur. It is designed for fast, targeted alerting on errors, security events, or application-specific log patterns across local and remote container hosts.

Key Features

• Plain text, regex, and multi-line log pattern detection
• Notifications via ntfy or Apprise (supports many notification providers) and optional custom endpoints
• Optional log attachments included with alerts for context
• Trigger container stop or restart on matched patterns to mitigate crash loops or critical errors
• Configuration via YAML, environment variables, or Docker container labels
• Automatic reload when configuration changes are detected
• Support for multiple remote hosts and compatible with Docker, Docker Swarm, and Podman

Use Cases

• Alert on suspicious activity such as repeated failed login attempts in service logs
• Notify on application crashes or critical exceptions with attached log context
• Automatically restart or stop a container when a known fatal error pattern appears

LoggiFly fits well in homelabs and production-like setups where simple, actionable log-based alerting is needed without running a full observability stack. It focuses on flexible matching, straightforward configuration, and reliable notifications.

portracker is a self-hosted, real-time port monitoring and service discovery tool for mapping what is actually running on your servers. It scans the host and supported platforms (like Docker and TrueNAS) to provide an up-to-date view of services and their exposed ports, reducing errors from manual tracking.

Key Features

• Automatic discovery of running services and their TCP ports on the host
• Docker-aware discovery, including detection of internal container ports vs published host ports
• TrueNAS collector with optional API key support for enhanced inventory details and VM/LXC visibility
• Peer-to-peer monitoring to aggregate multiple portracker instances into a single dashboard
• Hierarchical grouping to nest systems (for example, VMs under a physical host)
• Lightweight deployment with an embedded SQLite database (no external DB required)
• Modern responsive UI with live filtering, dark mode, and multiple layout views
• Optional built-in authentication to restrict dashboard access

Use Cases

• Maintain an accurate inventory of ports and services across homelab or small server fleets
• Troubleshoot port conflicts and reduce deployment failures during container/app rollouts
• Get a consolidated view of ports and services across multiple hosts via peering

Limitations and Considerations

• Some discovery features require elevated container privileges (host PID and additional capabilities) to inspect system ports
• TrueNAS VM discovery may be read-only unless a separate portracker instance runs on each VM

portracker is a practical choice for administrators who want continuous visibility into host and container networking without maintaining spreadsheets. Its embedded storage and peering model make it easy to deploy broadly and centralize service mapping.

PeaNUT is a lightweight web dashboard for monitoring UPS devices through a Network UPS Tools (NUT) server. It provides a clean UI for live status and statistics, plus an HTTP API for integrations and automation.

Key Features

• Monitor one or multiple UPS devices exposed by a NUT server
• Real-time device statistics and status display
• Execute supported NUT commands and change writable variables
• Configurable via web UI with optional YAML-based configuration
• Built-in REST API endpoints for device data, commands, and health checks
• Prometheus metrics endpoint for monitoring and alerting
• Optional InfluxDB v2 integration for time-series dashboards (for example with Grafana)
• WebSocket terminal-style access for direct communication with the NUT server
• Optional Basic Authentication for UI and API access

Use Cases

• Homelab dashboard to track battery charge, runtime, load, and UPS state
• Integrate UPS status into monitoring/alerting systems via Prometheus
• Centralize visibility of multiple UPS devices across a network

PeaNUT is well-suited for users who already run NUT and want a modern, minimal web UI plus integration-friendly endpoints. It focuses on UPS visibility and control while remaining lightweight and easy to deploy.

Atlas is a containerized tool for discovering, analyzing, and visualizing network infrastructure. It scans local subnets and Docker containers, stores findings, and presents them through a web UI backed by an API.

Key Features

• Multi-interface and multi-subnet network discovery with configurable scan ranges
• Docker host scanning via Docker socket inspection, including multi-network containers
• Fast scans (ARP/ping) plus deeper enrichment such as open ports and OS fingerprinting
• Interactive, real-time network graph visualization and host table views
• Scheduled scanning with configurable intervals and runtime interval management via API/UI
• SQLite persistence for discovered hosts, interfaces, and scan results
• REST API with interactive documentation for accessing hosts and scheduler controls

Use Cases

• Homelab visibility: map devices, services, and container connectivity at a glance
• Lightweight infrastructure monitoring: detect new hosts, IP changes, and exposed ports
• Troubleshooting networking issues: understand multi-NIC and multi-network relationships

Limitations and Considerations

• Requires elevated network capabilities (for example raw socket access) to perform discovery scans
• Docker inspection requires access to the Docker socket, which has security implications

Atlas combines a Go-based scanning engine, a FastAPI backend, and a React UI served behind Nginx to provide an approachable, continuously updated view of your network. It is suited to environments where quick discovery and clear visualization are more important than heavyweight enterprise NMS complexity.

Nutify is a web-based monitoring system for Uninterruptible Power Supply (UPS) devices built around Network UPS Tools (NUT). It collects UPS metrics, visualizes real-time and historical data, and helps you track battery health, power events, and overall device status from a centralized dashboard.

Key Features

• Real-time UPS monitoring with interactive data visualization
• Historical data persistence and reporting (including scheduled/automated reports)
• Multi-user authentication with granular permissions for pages and configuration
• Web-based setup wizard for configuring UPS connection and NUT settings
• Flexible deployment modes: run as a NUT server or connect as a lightweight client to a remote NUT server
• Alerting and notifications via email, ntfy, webhooks, and Discord
• Event logging, UPS command execution (with permission control), and connection recovery
• Docker and Docker Compose deployment with multi-architecture images

Use Cases

• Monitor a homelab or small office UPS and receive alerts on power and battery events
• Centralize visibility for multiple systems by connecting to an existing NUT server
• Generate periodic reports on UPS performance and energy/battery behavior for planning and maintenance

Limitations and Considerations

• Compatibility depends on NUT driver support and correct USB/network access from the host/container
• Some deployments may require elevated container privileges and device passthrough for USB-connected UPS devices

Nutify is well-suited for operators who want a modern UI on top of NUT, combining real-time dashboards, historical reporting, and configurable alerting. Its setup wizard and Docker-based deployment make it approachable while still supporting advanced configurations and multi-user access control.

Scraparr is a Prometheus exporter that collects and exposes metrics from the *arr suite (Sonarr, Radarr, Lidarr and similar services). It provides a scrapeable HTTP metrics endpoint intended for integration with Prometheus and visualization with Grafana.

Key Features

• Exposes detailed metrics for *arr services (requests, queue, backlog, import/scan status, per-series details when enabled)
• Prometheus-compatible /metrics HTTP endpoint (default port 7100)
• Configurable via config.yaml or environment variables; supports multiple service instances via config file aliases
• Lightweight Python implementation with Docker and Docker Compose deployment options
• Built for extensibility and community contributions; supports detailed per-series metrics when enabled
• Suitable for integration into alerting and dashboarding stacks (Prometheus + Grafana)

Use Cases

• Monitor health, API availability, and backlog of Sonarr/Radarr/Lidarr instances
• Feed metrics into Prometheus for alerting on failed downloads, stalled queues, or connectivity issues
• Provide a Grafana dashboard view of *arr performance and activity across multiple instances

Limitations and Considerations

• Environment variables do not support configuring multiple instances; multiple services require the config.yaml with aliases to avoid metric name collisions
• Requires proper API keys and reachable URLs for each *arr service; Docker variants may need host network adjustments for local service access
• Community-maintained Helm and Unraid templates exist but may not be officially maintained by the project

Scraparr is a focused tool for exporting *arr application metrics to Prometheus. It is lightweight and configuration-driven, making it easy to add to existing monitoring stacks for visibility into media automation components.