Monitoring everything from network switches to Kubernetes clusters since 2001 with over 6,200 GitHub stars and deployments exceeding 100,000 devices per installation, Zabbix has established itself as one of the most mature and feature-rich open-source monitoring platforms available, trusted by organizations including Dell, Salesforce, ICANN, and T-Mobile. The platform collects metrics from virtually any source using Zabbix Agent written in C, Zabbix Agent 2 written in Go with native plugin support, SNMP v1/v2c/v3 polling and trapping, IPMI for hardware health, JMX for Java applications, SSH and Telnet checks, HTTP/HTTPS polling, and ODBC database queries. Version 7.0 LTS introduced synthetic browser monitoring that executes user-defined JavaScript via WebDriver to simulate multi-step user interactions on websites, proxy load balancing with automatic host redistribution across proxy groups for high availability, in-memory proxy data buffering delivering up to 100x performance improvement, native multi-factor authentication with TOTP and Duo support, and just-in-time user provisioning from SAML and LDAP. Low-level discovery automatically detects file systems, network interfaces, SNMP OIDs, VMware resources, and Kubernetes pods, creating monitoring items and triggers dynamically. The alerting engine correlates events with configurable escalation chains, sending notifications through Slack, Microsoft Teams, PagerDuty, Jira, email, and SMS with customizable message templates. Over 1,000 official templates provide instant monitoring for Linux, Windows, VMware, AWS, Azure, Docker, PostgreSQL, MySQL, Apache, Nginx, and hundreds more. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Trusted by millions of engineers and deployed on over 80,000 GitHub stars worth of community confidence, Netdata delivers true real-time monitoring at per-second granularity — 10-60x faster than Prometheus, Datadog, or any conventional monitoring stack that averages away the transient anomalies lasting 2-10 seconds where most production incidents originate. A single installation command deploys the agent with zero configuration, automatically discovering every running process, container, systemd service, network connection, disk, and application on the host within seconds. Unsupervised machine learning trains multiple models per metric directly at the edge, detecting anomalies without thresholds, baselines, or manual tuning. The distributed Parent-Child architecture scales horizontally from a single Raspberry Pi to fleets exceeding 100,000 nodes while maintaining sub-2-second visualization latency and storing metrics at approximately 0.5 bytes per sample through tiered compression. Native network monitoring provides live topology maps, NetFlow and sFlow analytics, SNMP device polling across 200+ profiles, and trap handling — capabilities that typically require a separate NPM product. Hundreds of pre-configured alerts cover systems and applications out of the box, with AI-powered root cause analysis surfacing correlated metrics through natural language via MCP-compatible AI assistants. The agent supports Linux, macOS, FreeBSD, Kubernetes, and Docker with eBPF-based kernel observability requiring no application instrumentation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL v3+ licensed.

Homelable turns your entire homelab into a live, interactive network canvas where every device, link, and service shows its real-time status at a glance. Run an nmap-powered network scan against your subnets and the tool fingerprints services, queues unknown devices for review, and drops approved hosts onto a drag-and-drop canvas with 15 native node types covering routers, switches, hypervisors, NAS boxes, IoT sensors, and more. Import your full Zigbee2MQTT mesh (controllers, routers, end devices with link quality indicators) and Z-Wave JS device trees in one click, preserving the actual RF topology without manual wiring. Proxmox integration pulls in hosts, VMs, and LXC containers so you can nest virtual machines inside their parent hypervisor node on the canvas. The Rack Canvas mode documents the physical side of your lab: create racks with configurable U-height, mount gear into slots, and patch ports across devices to track your cabling. Health checks run every 60 seconds using ping, HTTP, HTTPS, TCP, SSH, or Prometheus scrape endpoints, with WebSocket push delivering green, red, or pending status pulses directly to the canvas. Split your infrastructure across multiple canvases organized by site, rack, or purpose, and share a read-only Live View URL with anyone on your network. A built-in Model Context Protocol server lets AI assistants like Claude query and modify your topology through natural language. Deploy on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Holding internet service providers accountable for promised bandwidth requires continuous, automated measurement, and MySpeed turns any server into an always-on connection performance analyzer that tracks download speeds, upload throughput, ping latency, and jitter around the clock. Instead of running manual browser tests only when video calls stutter, you can schedule recurring speed checks using custom Cron expressions and switch freely between Ookla, LibreSpeed, and Cloudflare testing servers to verify routing performance across different upstream networks. Interactive statistics views render gradient speed timelines, ping and jitter graphs, hourly performance breakdowns that expose peak-hour congestion, and standard deviation consistency charts, using smart 300-bucket downsampling so multi-month histories load instantaneously. Failed tests are flagged with visual markers on the timeline, while built-in health checks dispatch instant alerts to Discord, Telegram, Signal, WhatsApp, Gotify, email, or custom webhooks whenever bandwidth drops below your target thresholds or outages occur. Administrators can link multiple remote MySpeed instances into a single dashboard to compare bandwidth across branch offices, pause scheduled runs during heavy file transfers, export historical logs, and scrape real-time telemetry into Prometheus and Grafana. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

MikroTik Manager is a web control plane for whole RouterOS fleets, built so that a bad VLAN change reverts itself instead of costing you a drive to the site. Before any risky edit, Change Guard saves a restore point on the device and arms a scheduler; if a fresh connection cannot reach the router afterwards, it rolls itself back. Lockout prediction simulates each change against live device state and refuses one that would cut management access, naming the exact port and VLAN at fault. Config Health audits for settings RouterOS accepts but silently ignores. Day to day, a live dashboard tracks availability, wireless clients, and alerts delivered by email, Slack, Discord, Telegram, or ntfy. Switch faceplates, per-port client views, VLAN copy wizards, bulk SSID deployment, RF health charts, rogue AP detection, and a guest Wi-Fi captive portal wizard cover the wired and wireless side. A rule builder handles firewall and NAT, topology maps come from LLDP, CDP, and MNDP, and a built-in NetFlow collector attributes traffic to clients and applications. Firmware rolls out in canary waves that halt on failure, and every configuration snapshot supports diffs and one-click rollback. OIDC single sign-on, TOTP two-factor, role-based access, and scoped API tokens protect the console, while sites group devices per customer network. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Watching a MikroTik RouterOS v7 router in real time is what MikroDash is for: live traffic, connections, Wi-Fi clients, DHCP leases, and WireGuard peers reach the browser the moment anything changes. Cards drag into any layout, and the arrangement follows your account to every browser. Managing a fleet happens on the Devices page, which shows routers as cards, a list, or a world map with 24-hour connectivity, last backup, open alerts, and pending updates. Rolling out a change starts in Config Management: choose one of 20 ready-made templates or capture your own, then deploy to one router or the fleet with a restore point, a canary router, and an automatic revert if a change cuts MikroDash off. Scheduled backups are kept only when something changed, with a diff and a guarded restore. New sites join through a generated script that calls home over a built-in WireGuard tunnel, even from behind NAT. Alerts reach SMTP, Telegram, ntfy, Discord, Slack, Gotify, Pushover, and Apprise. Troubleshooting stays in the browser with ping, traceroute, torch, bandwidth tests, a packet sniffer, and a RouterOS terminal. Read-only API access covers every page and alert, while roles, OpenID Connect sign-in, and an audit trail of every write govern shared use. Off by default, an optional assistant answers from live router data and asks before changing anything. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

CoreObs delivers a unified self-hosted dashboard that replaces the typical combination of Uptime Kuma, Homer, and separate monitoring tools with a single interface for managing your entire server infrastructure. The Next.js frontend with shadcn components provides a modern dark-themed UI displaying server hardware metrics collected by a lightweight Go agent that leverages Glances for hardware abstraction — streaming real-time per-core CPU load, RAM utilization, NVIDIA GPU statistics, disk usage, system uptime, and load averages via WebSocket connections. The application registry tracks all self-hosted services with configurable uptime monitoring, availability history charts, and instant notifications through Discord, Telegram, Pushover, and email when services go down or recover. Quick-access links provide one-click navigation to each application's management panel directly from the dashboard. The network visualization module built on React Flow enables creating visual topology maps of your infrastructure with drag-and-drop nodes representing servers, switches, and services connected by labeled edges. Server data can be organized with tags, copied between entries, and monitored with configurable pagination and compact view modes. Deploy via Docker Compose with three containers — the Next.js web interface, the Go monitoring agent, and PostgreSQL 17 for persistent storage. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Instead of deploying proprietary background agents across dozens of target nodes, engineers rely on Apache HertzBeat to monitor real-time infrastructure health, metrics gathering, threshold alerting, and public status pages from a central operations platform. Operations teams can poll hundreds of target services without deploying proprietary background daemons, gathering performance data across Linux hosts, Kubernetes clusters, SQL databases, and network switches using native connection protocols. Engineers can define custom monitoring targets directly within the web dashboard by composing declarative YAML templates that specify polling intervals, parsing expressions, and metric extraction rules. The centralized alert engine processes inbound threshold events, suppresses cascading alert storms during maintenance windows, and dispatches actionable incident notifications to Discord channels, Slack rooms, Telegram groups, and webhook endpoints. Telemetry streams flow into interactive charts with customizable refresh cadences, enabling site reliability engineers to inspect latency waterfalls, correlate log spikes against CPU exhaustion, and track disk capacity trends over extended timeframes. Administrators can also publish real-time public status pages that inform external stakeholders about service availability, scheduled downtime, and ongoing incident resolutions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

The de facto dashboard of observability: Grafana is the open-source frontend that turns the data stores you already run into interactive graphs. It does not store metrics itself; it connects to the data stores you already run and turns their contents into interactive dashboards. Supported sources number over 150 via plugins: Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, MySQL, PostgreSQL, Microsoft SQL Server, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring, and many more. Dashboards are built from a large library of panel types (time series, heatmaps, tables, gauges, logs) with template variables for reusable, parameterized views. Unified alerting evaluates rules against any connected data source, not just Prometheus, and routes notifications to Slack, PagerDuty, email, and other channels with grouping and silencing - unlike Prometheus Alertmanager, a single rule can combine a Loki log pattern, a PostgreSQL query result, and a CloudWatch metric. Dashboards serialize to JSON and data sources configure via provisioning files, so the entire observability setup can live in Git and deploy repeatably across environments. Explore mode adds ad-hoc querying outside dashboards, with split view for correlating a metric spike against the matching log lines, and access control spans organizations, teams, folder permissions, and OAuth, LDAP, and SAML integration. Written in Go and TypeScript, AGPL-licensed. Self-hosting gives you unlimited users, dashboards, and queries at flat hosting cost, without Grafana Cloud's usage-based pricing.

Trusted by thousands of organizations processing billions of time series data points and backed by 17,000+ GitHub stars, VictoriaMetrics delivers a monitoring and time series database that outperforms Prometheus by 16x on query speed while consuming 2.5x less disk space through its optimized compression and storage engine. The architecture supports both single-node deployments handling 10M+ active time series and a horizontally scalable cluster version with vminsert, vmstorage, and vmselect components providing multi-tenancy, replication, and independent namespace isolation. Data ingestion accepts both push protocols including InfluxDB line protocol, Graphite plaintext, OpenTSDB HTTP, CSV, and OpenTelemetry OTLP alongside pull-based Prometheus scraping and remote write, enabling drop-in replacement of existing monitoring stacks without reconfiguring exporters. MetricsQL extends standard PromQL with additional functions, subqueries, and implicit time range alignment while maintaining full backward compatibility with existing Prometheus alerts and Grafana dashboards. The vmalert component processes recording and alerting rules with Alertmanager integration, while vmbackup and vmrestore enable point-in-time snapshots to S3, GCS, and Azure Blob Storage. Stream aggregation operates as a StatsD alternative for pre-aggregating high-cardinality metrics before storage. NFS-compatible storage backends including Amazon EFS and Google Filestore allow shared persistent volumes across cluster nodes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

With 20,500+ GitHub stars and over 6,000 organizations running it in production — including a Fortune 100 company ingesting more than 4 PB per day — OpenObserve is the open-source observability platform that replaces your entire Datadog, Splunk, or ELK stack with a single Rust binary deploying in under two minutes. Apache Parquet columnar storage with zstd compression on S3-compatible object storage delivers 140x lower storage costs than Elasticsearch while providing better query performance on a quarter of the hardware. Ingest logs, metrics, and distributed traces via native OpenTelemetry OTLP endpoints with no vendor lock-in. Query logs and traces with standard SQL, metrics with SQL or PromQL — no proprietary query language to learn. The built-in dashboard builder offers 19 chart types including time-series graphs, heatmaps, gauges, tables, and top-K lists with drag-and-drop layout combining data from all signal types. Data pipelines process, enrich, redact, or normalize ingestion streams using Vector Remap Language for real-time transformations including PII redaction and logs-to-metrics conversion. Real User Monitoring captures frontend performance with session replay. The Service Catalog provides topology-based trace analysis with side-panel drill-downs into database queries and error details. Alerting supports real-time and scheduled rules with SQL and PromQL conditions. Native multi-tenancy isolates organizations and streams with complete data separation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.