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Monitor system resources and processes from a terminal or web interface.

Monitor network faults, performance, traffic, and alarms with OpenNMS's community-driven Horizon distribution.

Self-hosted full-stack observability with eBPF telemetry and service-level insights.

Run threshold-based checks for servers, network devices, applications, and services from a Linux monitoring server.

Monitor servers, databases, middleware, and network services through agentless collection and built-in alerts.

Discover, monitor, and manage Oracle and non-Oracle systems across data centers and cloud environments.

Unified observability and AI-driven operations for hybrid environments.

A network and server monitor that discovers devices, tracks performance, and routes threshold-based alarms.

Monitor networks, servers, applications, and services with discovery, performance data collection, event processing, and alerting.

A hosted server-monitoring service for host metrics, cloud integrations, containers, alerts, and dashboards.

Collect application traces, metrics, logs, and error signals with language-specific agents.

Define synthetic API and browser checks as code and run them on a schedule.

Check service availability from several regions and keep customers updated with branded status pages.

Discover network devices, graph their data, and send alerts from an SNMP-based monitoring system.

Monitor Kubernetes, containers, cloud services, and Prometheus metrics with managed collection and alerting.

Ingest operational metrics and events, detect anomalies, and connect alerts to service context and response workflows.

Run configurable host and service checks from a self-managed infrastructure monitor.

Track user-to-application experience across endpoints, networks, infrastructure, and cloud services.

A lightweight self-hosted dashboard for server, container, disk-health, and network monitoring.

Bring logs, metrics, traces, and infrastructure monitoring into one observability workspace.

A self-hosted network monitoring framework that polls device data and turns it into RRDTool graphs.

Group mobile app crashes, non-fatal errors, and Android ANRs into issues that teams can prioritize by user impact.

Employee time and attendance analytics with active/idle records, timesheets, and workforce reports.

Observability and conversation analytics for LLM-powered chat applications.