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.

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.

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.

NetPulse is a self-hosted dashboard that turns a pile of routers, switches, and clients into one live picture of how your network is doing. A single score from 0 to 100 condenses latency, loss, uptime, and temperature, and updates every few seconds. The topology map draws itself from bridge and LLDP data, placing wired and wireless clients under the router and port they actually use. Every device is classified by type, with signal strength, band, and first-seen time. Router cards show model, firmware, CPU, memory, temperature, and live traffic. Scheduled WAN speed tests compare results against your contracted plan, and panels for WireGuard peers and AdGuard Home keep VPN and DNS activity in view. Alerts for overheating, new devices, firmware updates, and WAN outages reach you through push notifications, ntfy, Telegram, or webhooks. Admin and viewer accounts share access, a Wi-Fi channel analyzer scores congestion, and OpenWrt firmware upgrades can be started from the browser. MQTT publishing feeds Home Assistant, and an optional read-only MCP endpoint answers questions from your AI assistant. The interface installs as a phone app and speaks English and Spanish. 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.

NetMap answers the four questions every homelab owner asks in four different tools: what is on my network, what address did it get, is it still up, and why is the firewall shouting about it. Devices you add appear automatically on a visual canvas where you can drag them into place, draw the links between them, and group them into VLANs or separate sites, and the layout is still there when you come back. Behind the map, every device is watched continuously: ping times graphed over history, service checks on the ports you care about, a heartbeat strip that betrays intermittent dropouts, and an uptime percentage that settles arguments. Address management stops being a spreadsheet: define subnets, import the leases your router already handed out, see used and free addresses as a grid, and get warned before a duplicate assignment causes a mysterious outage. Firewall logs stream in live and each entry links to the device it concerns, ready to search by address, port, or protocol. When something new appears, a network scan discovers hosts with their names, hardware addresses, and open ports for review before they join the inventory. 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.

Neko Master watches every connection flowing through your Clash, Mihomo, or Surge gateway and turns the stream into a live map of devices, domains, countries, and proxy nodes, so questions that once needed packet captures get answered at a glance. The dashboard refreshes over WebSocket as traffic moves, charting upload and download trends across thirty minutes, one hour, or a full day. Domain views rank every host your network contacts by traffic and connection count, and IP views add ASN and geographic detail, so an unfamiliar endpoint explains itself instead of raising an alarm. Proxy statistics break traffic down per node and per rule, which makes a saturated exit, a misrouted application, or an underused subscription obvious in seconds. One panel watches several gateways at once: add OpenClash backends directly, or install the one-command agent on OpenWrt, Linux, or macOS machines beside remote gateways and let each agent report home. Because agents open the connection outward, gateways behind NAT still report in, and the panel never reaches into your network uninvited. History persists in SQLite by default, and busy networks can dual-write traffic statistics to ClickHouse for larger histories while configuration stays in SQLite. Token-based access control protects the dashboard, dark mode and an installable PWA keep it comfortable on a phone, and the interface switches between English and Chinese. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Netronome is a self-hosted network monitoring platform that runs scheduled internet speed tests, watches packet loss and DNS resolvers, and reports bandwidth and health data from every server you point it at. Run tests against Speedtest.net, your own iperf3 servers, or public and custom LibreSpeed servers, choosing the exact endpoint from a list sorted with the nearest first. Put tests on a recurring schedule and read the history charts to catch an ISP that sags every evening or a connection that never delivers the speed on the invoice. Install the companion agent on each machine and watch live upload and download rates, traffic by hour, day, and month, processor and memory load, disk space, and temperatures in one place. Trace routes hop by hop, keep packet loss percentages in view, and confirm your DNS resolvers answer fast and return the records you expect. Set thresholds for download and upload speed, ping, packet loss, disk space, CPU, memory, and temperature, and route alerts to Discord, Telegram, Slack, email, ntfy, Gotify, Pushover, or a webhook. The server, the web interface, and the agent ship as one program, and agents connect over HTTP with an optional API key or inside a Tailscale network. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-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.

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.

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.

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.

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 over 60,000 organizations worldwide with more than 8,100 GitHub stars since 2010, Graylog has established itself as one of the fastest paths from raw log data to operational visibility, delivering centralized log management, security analytics, and compliance auditing through a purpose-built web interface with sub-second search at scale. The platform ingests logs from virtually any source via syslog, GELF, Beats, raw TCP/UDP, HTTP, CEF, IPFIX, and Netflow protocols, processing each message through configurable pipelines that parse fields, apply transformations, enrich events with GeoIP data from MaxMind or IPinfo lookup tables, and route messages to appropriate streams based on content rules. OpenSearch handles full-text indexing and storage with dynamic shard sizing that automatically calculates appropriate sizes from available node memory, while MongoDB stores configuration metadata including user accounts, roles, dashboards, alert rules, and pipeline definitions. The alerting system integrates with Slack, PagerDuty, and email with customizable notification templates and Replay Search links for immediate investigation context. Version 7.0 introduced MCP server integration for connecting preferred LLMs to perform AI-assisted log analysis and automation, while version 7.1 added Sigma detection rule import from private GitHub, GitLab, and Bitbucket repositories for detection-as-code workflows. The Sidecar agent management system centrally configures and deploys Filebeat, Winlogbeat, and nxlog collectors across infrastructure from the Graylog web interface. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. SSPL licensed.

Coroot uses eBPF to capture metrics, distributed traces, logs, and continuous CPU profiles directly from the Linux kernel, delivering full observability without any application code changes, SDKs, or sidecars. From the first minute of deployment, an automatically generated service map covers every microservice, database, message queue, and external dependency with request rate, error rate, and latency measurements. When a service breaches its SLO, AI-powered inspections analyze telemetry across all dimensions to pinpoint the root cause and send a single consolidated alert with findings, replacing the flood of fragmented notifications typical of traditional monitoring. Deployment tracking automatically discovers Kubernetes rollouts and compares each release against the previous one to detect performance regressions, resource spikes, and cost impacts without CI/CD pipeline integration. Continuous profiling captures CPU flame graphs down to the line of code with negligible overhead. Integrated cost monitoring tracks cloud spending across AWS, GCP, and Azure, attributing expenses to individual services and deployments. Coroot supports Prometheus, OpenTelemetry, and ClickHouse as data sources and works identically on Kubernetes clusters, virtual machines, and bare-metal hosts. 7,700+ GitHub stars. Apache-2.0 licensed.

With over 31,000 GitHub stars and native OpenTelemetry support that eliminates vendor lock-in from day one, SigNoz delivers full-stack observability covering metrics, traces, and logs in a single pane of glass without the per-host pricing model of commercial APM platforms. The platform ingests telemetry data through the OpenTelemetry Collector, supporting auto-instrumentation for Java, Python, Node.js, Go, Ruby, PHP, and .NET applications with zero code changes required for basic tracing. ClickHouse serves as the columnar storage backend, providing fast aggregation queries over billions of spans and log lines with configurable retention policies and tiered storage. The distributed tracing view renders flame graphs and Gantt charts showing request flow across microservices with latency breakdowns, error rates, and p99 percentile calculations. Custom dashboards support PromQL and ClickHouse SQL queries with time-series charts, bar graphs, tables, and value widgets. The log management pipeline supports structured and unstructured logs with full-text search, log pipelines for parsing and enrichment, and correlation with traces via trace IDs. Alert rules can be configured on any metric or log query with notification channels including Slack, PagerDuty, OpsGenie, webhooks, and email. The exceptions monitoring module automatically groups and tracks application errors with stack traces, occurrence counts, and first-seen timestamps. Service maps visualize inter-service dependencies with real-time latency and error rate overlays. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed with an enterprise edition available.

With 7,400+ GitHub stars and a feature set that replaces seven separate SaaS subscriptions — Pingdom for monitoring, StatusPage.io for status pages, PagerDuty for on-call, Incident.io for incident management, Datadog for APM, Loggly for logs, and Sentry for error tracking — OneUptime delivers every tool your reliability team needs in a single open-source platform that is genuinely 100% open source under Apache 2.0 (not open-core). Uptime monitoring runs synthetic checks against websites, APIs, ports, SSL certificates, and DNS records from distributed global probes with configurable intervals and thresholds. Branded status pages publish automatically when monitors detect issues, notifying subscribers via email, SMS, webhook, or RSS without manual intervention during an outage. On-call scheduling routes alerts through escalation policies to the right engineer via phone call, SMS, push notification, Slack, or Microsoft Teams. The incident management workflow handles declaration, triage, communication, resolution, and post-mortem generation in a unified timeline. APM collects traces and metrics via native OpenTelemetry integration — no proprietary agents required — while log management provides full-text search and alerting. An AI agent continuously monitors telemetry data, identifies root causes, and opens GitHub pull requests with proposed fixes for review. Deploy via Docker Compose or Kubernetes Helm charts with a Terraform provider for infrastructure-as-code configuration. 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.

Spreadsheets and sticky notes stop scaling the day your network grows past a rack or two, so JT-IPAM keeps every address, subnet, and device in one searchable system of record. Track subnets and individual IPs with their hostnames, MAC addresses, and owners, then reconcile what you documented against what scan agents actually find through ICMP, ARP, reverse DNS, and SNMP collection from routers and switches. Connect the DNS servers you already run, from PowerDNS and BIND 9 to Windows DNS and Technitium, and flag records that have no matching address in IPAM. Pull devices and virtual machines in from LibreNMS, Zabbix, Proxmox VE, ESXi, Hyper-V, and OpenStack so monitoring and address records stop drifting apart. Draw floor plans and rack elevations, trace a cable across multiple hops, and open an SSH terminal, SFTP browser, or RDP desktop to a device straight from its address page. Route new address requests through configurable multi-stage approval workflows, distribute certificates to web servers and firewalls from central encrypted storage, and keep a full audit trail of every change and console session. 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.