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.

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.

Network traffic stops being a mystery once ntopng names the hosts, applications, and protocols behind every flow, live in your browser. To find the host saturating an uplink, open the dashboard, which ranks top talkers, countries, autonomous systems, and protocols beside historical charts. To see what a suspicious host is contacting, open its page for traffic, ports, DNS queries, TLS details, and visited sites, plus a map of its conversations. Deep packet inspection recognizes applications such as Facebook, YouTube, and BitTorrent, so charts name the app behind the bytes instead of relying on port numbers alone. The console reads packets from a SPAN port or TAP and NetFlow, sFlow, or IPFIX records from routers and switches through nProbe, so it can cover a single switch or many remote sites. Behavioural checks raise alerts for flows, hosts, and interfaces and send them to email, Discord, Telegram, or webhooks. Active monitoring probes remote hosts over ICMP and HTTP/S, and network discovery lists the devices on your local network. A REST API and Lua scripting pull statistics into your own tools and add custom checks. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Trusted by Cal.com, WhiteBIT, and Documenso and backed by 8,800+ GitHub stars, OpenStatus delivers the open-source status page and uptime monitoring platform that replaces Atlassian Statuspage, Better Stack, and Instatus with a single self-hosted deployment. The monitoring engine runs Go-based probes across 28 global regions on three cloud providers checking HTTP, TCP, and DNS endpoints in parallel with configurable intervals and multi-region consensus to eliminate false-positive alerts. Status pages ship with custom domain support, password and email-domain access controls, maintenance windows, grouped monitor components, and subscriber notifications via email and RSS. Incident management provides structured status reports with investigating, identified, monitoring, and resolved timeline phases that publish automatically to affected status pages. The monitoring-as-code workflow supports YAML configuration synced through the CLI, a GitHub Actions integration for CI/CD pipelines, and a Terraform provider for infrastructure-as-code deployments. The typed ConnectRPC JSON-over-HTTP API exposes a published OpenAPI specification with a Node SDK for programmatic access, while an MCP server connects AI assistants like Claude, ChatGPT, and Cursor directly to workspace data. The tech stack combines Next.js with shadcn/ui for the dashboard, Hono for the API server, Drizzle ORM over Turso for application data, and Tinybird for analytics. Private monitoring locations deploy as a single 8.5MB Docker image behind firewalls to check internal services. 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.

Website analytics, uptime monitoring, and server status - three tools most teams run separately - combined in Tianji, an open-source observability platform. The analytics layer tracks page views, unique visitors, referrers, and UTM parameters with a lightweight cookie-less script, which keeps collection GDPR and CCPA friendly. The uptime monitor checks availability and latency on configurable intervals, accepts passively reported results, and publishes public status pages for incident communication. Server status agents report CPU, memory, disk, and network metrics with threshold-based alerts, and notifications route through webhooks, Slack, Telegram, and other channels with noise control. It also includes anonymous telemetry for tracking deployments of your own open-source projects, surveys, waitlists, team collaboration, and an OpenAPI interface for integrations and exports. The consolidation is the point: traffic analytics, uptime checks, and server metrics share one interface and one alerting layer, so diagnosing an incident does not mean hopping between Google Analytics, Uptime Kuma, and Prometheus - and the built-in public status pages replace a separate paid Statuspage-style subscription. Because collection uses no cookies with IP truncation and aggregation by default, basic traffic measurement requires no consent banner. Built in TypeScript under the Apache 2.0 license and inspired by Umami and Uptime Kuma, it is deliberately right-sized for independent developers and small SaaS teams whose monitoring needs are real but lightweight.

Keep every VPS, home-lab box, NAS, and router you run on one self-hosted dashboard, with a small agent on each machine reporting whether it is up and how hard it is working. Nezha tracks CPU, memory, swap, disk, load, traffic, process counts, and TCP and UDP connections on Linux, Windows, macOS, OpenWRT, and Synology machines, plus GPU and temperature where supported. Servers sort into groups and appear as cards, a list, or a world map, with live charts and, when the optional time-series database is on, 1, 7, and 30 days of history. HTTP GET, ICMP Ping, and TCPing monitors run from the servers you choose, chart latency and packet loss, and warn about HTTPS certificate changes and upcoming expiry. Alert rules watch offline servers, resource use, bandwidth, and cycle traffic limits, then message Telegram, Slack, Matrix, Feishu, DingTalk, or any webhook. A browser terminal and file manager handle quick fixes, while scheduled or alert-triggered tasks run backups, restarts, and scripts across many servers. DDNS updates Cloudflare, Tencent Cloud, or Hurricane Electric records when an agent's IP changes, and NAT traversal publishes a home router or NAS page on your own domain. Admin and user roles, scoped API tokens, and an optional MCP endpoint let people and AI tools list servers and run commands within their permissions. 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 11,400+ GitHub stars and active development since 2019, Gatus is the developer-oriented status page and health monitoring tool that ships as a single statically-linked Go binary in a scratch Docker image under 20 MB — deploying in seconds while monitoring your entire infrastructure across 12 protocols from a single YAML configuration file. Define health checks for HTTP, ICMP, TCP, DNS, gRPC, WebSocket, SSH, UDP, SCTP, STARTTLS, and TLS endpoints with conditions that go far beyond simple ping: evaluate response status codes, body content with JSONPath expressions, response time thresholds, certificate expiration days, DNS record values, and IP address ranges. Each endpoint supports independent alerting through Slack, Microsoft Teams, PagerDuty, Discord, Telegram, Twilio, Mattermost, Google Chat, email, Gotify, Pushover, and custom webhook providers with configurable failure thresholds and descriptions. The built-in status page displays uptime badges, response time graphs, and incident timelines with maintenance window support for planned downtime communication. External endpoints accept push-based health reports from services behind firewalls. Prometheus metrics export via the /metrics endpoint enables integration with existing observability stacks. OIDC and Basic Authentication protect the dashboard. PostgreSQL persistence stores historical uptime data. The official Helm chart supports Kubernetes deployment with liveness probes and PVC storage, while a community sidecar auto-generates endpoint configurations from Kubernetes Ingress and HTTPRoute resources. 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.

CheckCle provides a complete uptime monitoring and infrastructure observability platform that deploys with a single Docker container and stores all data in embedded SQLite via PocketBase. The Go backend runs three microservices — a service operation engine handling HTTP, HTTPS, DNS, Ping, and TCP checks at configurable intervals, a distributed regional check agent for multi-location network testing, and a server monitoring agent collecting CPU, RAM, disk usage, and network metrics via gRPC. The React frontend built with Vite, TypeScript, Tailwind CSS, and shadcn-ui subscribes to PocketBase WebSocket endpoints for real-time dashboard updates without polling. SSL and domain monitoring tracks certificate issuers, expiration dates, days remaining, and validation status. The incident management system records UP, DOWN, WARNING, and PAUSE states with full history, while scheduled maintenance windows prevent false alerts during planned downtime. Public status pages provide external stakeholders with live service health information. Health heatmaps visualize uptime performance and outage patterns over time. Notification channels include email, Telegram, Discord, and Slack, with multiple alert targets per monitored service. The one-click agent installation script supports Debian, Ubuntu, CentOS, Red Hat, Alpine, and Windows in beta. Docker deployment runs on port 8090 with a single persistent volume at /mnt/pb_data, requiring minimum 1 vCPU and 500MB RAM. On RepoCloud, deploy CheckCle on a dedicated VPS with root SSH access, persistent storage for your monitoring database, and complete control over agent endpoints and notification configurations, all under the MIT license.

Point your routers at Akvorado and every NetFlow, IPFIX, and sFlow record crossing your network becomes a chart you can interrogate. The web console opens on a live summary of flows per second, exporter count, and traffic split by autonomous system, port, protocol, country, and address family. From there, the visualize page turns stored flows into stacked, line, grid, and heatmap time series, plus Sankey diagrams that show how traffic moves between networks, interfaces, and countries. Filters use a simple SQL-like syntax, so a question like which customers pulled traffic over a transit link last night becomes a query, not a support ticket to your future self. Because the outlet polls each exporter with SNMP or gNMI, flows arrive wearing real interface names, descriptions, and speeds instead of raw ifIndex numbers nobody can read. GeoIP lookups attach country and city to addresses, classification rules tag providers, peers, and connectivity types, and optional BMP sessions add AS paths and BGP communities to every flow. Retention is tiered: raw flows keep full detail for recent days while one-minute, five-minute, and hourly rollups stretch summaries across a year of history. A Grafana plugin is available too, so the same flow data can sit on the dashboards your team already watches. 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.

Self-hosted and account-free, LAN Sheriff watches where your devices send their traffic, plots each destination on a live world map, and flags anything that looks suspicious. Click a destination on the Watchtower for its country and city, owning organization, reverse DNS, protocol, port, byte counts, duration, and responsible app or device; filter by device, app, country, organization, or protocol, or scrub back through history. Radio Chatter streams the DNS lookups it can see, surfaces first-seen domains, and labels tracker, ad, telemetry, and malware domains without ever blocking them. The Precinct Map diagrams observed traffic, while the Roster inventories every device by IP, MAC, manufacturer, hostname, inferred type, and services, and alerts you when an unrecognized one joins. The Wanted List applies eight rules, including beaconing, machine-generated domains, port scans, plaintext credentials, and volume anomalies, and explains each finding in a plain sentence rather than a mystery score. Deputy Mode needs no privileges and names the application behind each connection, while Patrol Mode adds packet capture for DNS lookups and traffic volumes. Pair installations with a code to widen your view, export any view as CSV or JSON, and send alerts to webhook, ntfy, Discord, or Slack. 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.

Netra watches your network from the side, plugged into a switch mirror port, and turns everything it sees into a live picture of your traffic without ever sitting in the forwarding path. A single binary loads its eBPF collectors in the kernel, so aggregation happens before packets reach user space and multi-gigabit mirror feeds stay observable instead of dropping samples. The dashboard opens on totals, protocol share, and traffic trends, then lets you drill into flows by address, port, domain, or service, check which countries your traffic talks to on a world map, and read the internal topology as a live graph. Domains surface passively from TLS handshakes, public addresses are enriched with country and organization data, and heuristic detectors flag scanning, flooding, and single-host surges, pushing alerts to your team chat with an optional AI-written explanation. You can ask the built-in assistant questions about real recorded history, connect external MCP servers so it can call your own tools while it answers, and stream flows onward to Kafka for other consumers. History rolls into compressed columnar files on a schedule and stays queryable for a month by default. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

A single binary watches everything you care about and only bothers you when something breaks. EaseProbe is an open-source health and status checker that probes websites over HTTP, TCP ports, ping, TLS certificates, shell commands, SSH hosts, and native clients for MySQL, PostgreSQL, Redis, MongoDB, Kafka, Memcache, and ZooKeeper. Each target gets an interval, timeout, retry checks, and data validation, from HTTP status and XPath evaluation to a Redis key matching an expected value; SSH host probes also watch CPU, memory, and disk so slow saturation gets caught alongside hard failures. When a target flips state, edge-triggered notifications fan out to Slack, Discord, Telegram, Microsoft Teams, email, AWS SNS, WeCom, DingTalk, Lark, SMS providers, log files, syslog, or your own shell script, with repeat alerts and quiet recovery behavior under your control. Availability history accumulates into daily, weekly, or monthly SLA reports delivered through those same channels, plus a live SLA page and JSON endpoint served by the probe itself. Everything it measures also exits as Prometheus metrics with per-target status, latency, and uptime, ready for Grafana dashboards and alerting rules alongside the rest of your stack. Configuration is one YAML file, persistence is one local data file, and the same binary runs on a tiny VPS watching an entire fleet. 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.

Servers, services, and network gear report their health to Icinga 2, the open-source monitoring core that runs checks, evaluates thresholds, and decides who gets woken up. A distributed hierarchy of master, satellite, and agent zones scales from a single box to global estates: satellites execute checks in remote regions and keep working when the master is unreachable, while agents run local checks under TLS-secured, certificate-based trust. The object-based configuration language defines hosts, services, dependencies, and notification rules as code, with apply rules generating checks across whole groups automatically. Performance data streams into Graphite, InfluxDB, or Elasticsearch writers, and Icinga DB carries runtime state and history into Redis and SQL for the web frontends. The REST API drives acknowledgements, downtimes, and check scheduling from scripts and chat tools, with fine-grained permissions down to diagnostic information. The 2.16 line hardens API security, streams richer runtime updates to Icinga DB for the new Icinga Notifications 1.0 incident workflows, and lets operators set exact acknowledgement times through the API. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0-or-later licensed.

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.

Before the maintenance window, know exactly where the traffic will go: Topolograph rebuilds your network the way its routing protocols see it and lets you break it safely on screen. Upload one router's LSDB output, from Cisco, Juniper, Arista, FRRouting, MikroTik, and a dozen other vendors, and the whole area's topology appears as an interactive graph, because the protocol already flooded it everywhere. Compute the shortest path between any two routers and see every equal-cost alternative with per-link loads, then fail a link or a node and watch SPF recalculate: which pairs moved to backup, which are left with none, and how the load shifted on every surviving link. Search the graph for prefixes, MAC addresses, or any network element, plan an MPLS TE path against real bandwidth attributes, and compare snapshots from different moments to answer what changed before the incident. Collectors can stream live OSPF, IS-IS, and BGP events over GRE, BGP-LS, or BMP so the timeline replays the network at the moment things broke, and a REST API, Python SDK, and MCP server let your own tooling and AI agents ask the same questions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.