What Palpabl Actually Does for Your Network

Most small IT teams have a network documentation problem they don’t talk about: it lives in one engineer’s head, a Visio diagram nobody’s opened since the last migration, and a spreadsheet with three tabs that stopped matching reality a year ago. New hire needs to know what’s in rack 3? Ask around. Incident takes down a switch? Spend the first fifteen minutes figuring out what’s actually connected to it before you can even start fixing anything.

Palpabl is what replaces that. Here’s what it actually does.

One Schema for Everything Physical and Logical

Devices, racks, interfaces, cables, IP prefixes and addresses, VRFs, VLANs, circuits, power feeds, virtual machines — modeled as structured, cross-referenced records instead of tribal knowledge. Assign an IP to an interface and Palpabl already knows the device, the rack, the site, and the VRF it belongs to. Real example from a live multi-site deployment: a router in a rack at position 40, on a specific power feed, with a documented Zayo wavelength circuit connecting it to a site 3,000 miles away — all queryable, all cross-referenced, none of it living in someone’s head.

Cisco, Arista, Juniper, Palo Alto, Dell — the schema doesn’t care about the vendor. A router, a switch, and a firewall from three different manufacturers are all just records with the same relationships to a rack, a site, and an interface. You’re not maintaining one view for your Cisco gear and mentally translating it for the Juniper box next to it.

This is IPAM and DCIM in one data model, not two disconnected tools you’re manually keeping in sync.

Config Automation That Doesn’t Live in Someone’s Head

Jinja2 templates render device configs directly from the schema. Webhooks fire on any record change to trigger downstream automation — no polling, no cron job checking for updates. Change workflows and compliance rules mean a config change follows an actual process instead of “someone SSHed in and fixed it at 11pm.” When the person who set up your VLAN scheme leaves, the schema doesn’t leave with them.

Drift Detection and Topology That Stay Current

Network discovery scans and keeps the topology map current automatically — no manually redrawing a diagram every time someone adds a switch. Drift detection compares intended state against what’s actually documented and flags the anomalies. Connection tracing gives you the full path between two points in the network on demand, not from a diagram that was accurate eighteen months ago.

Governance You Can Actually Audit

Role-based access control, a full change log, and a complete audit trail on every record — who changed what, when. Compliance reporting that’s SOC2-ready instead of “we’ll pull something together if an auditor asks.” For a small team, this is the difference between “we think we know who touched that firewall config” and having the changelog entry.

Ask It Instead of Digging for It

This is the part that’s hard to appreciate until you’ve used it. Palpabl’s query layer answers multi-step questions across the whole schema in natural language — “what servers are at the NYC-PROD-01 site” doesn’t return a device list, it traces the actual path: server NIC → firewall inside interface → firewall outside interface → core switch → router → ISP circuit, naming the specific interfaces and the circuit ID at every hop. That’s a lookup that normally means opening the DCIM tab, then the IPAM tab, then the circuits page, then cross-referencing all three by hand. Here it’s one question.

Same mechanism, different use case: “which devices are past end-of-life” against your actual fleet is normally a manual cross-reference between a vendor’s EoL bulletin and your inventory spreadsheet — assuming the spreadsheet is current. Against a live schema it’s one query, because every device record already carries its model and vendor.

One API, Not Five Tabs

Palpabl exposes the whole graph through GraphQL — pull the exact slice of devices, interfaces, IPs, and circuits you need in a single query instead of chaining REST calls or exporting CSVs. If you’re already scripting against NetBox’s GraphQL API, the same query patterns apply here.

What It Costs

Free tier covers up to 20 devices — a card stays on file since AI usage is metered at API rates, but there’s no seat pricing and no forced sales call. Starter is $39/mo for up to 100 devices, Pro is $119/mo for up to 1,000, and Enterprise is custom for anything larger. No self-hosted Postgres, no Redis to babysit, no plugin compatibility matrix to test before every upgrade.

Is Palpabl the Best NMS for a Small Business?

There is right or wrong answer to that. An NMS like PRTG, Domotz, Zabbix, or NinjaOne answers “is the network working right now”: SNMP polling, uptime alerts, bandwidth graphs. Palpabl answers a different question: “what’s actually on this network, and what depends on what.” Different job, different data model, and for a small business picking a monitoring tool, the honest breakdown of PRTG vs. NinjaOne vs. Zabbix vs. Domotz is here — device count, self-hosting tolerance, and budget are what actually decide it.

Whichever one you land on, Palpabl is what you pair it with — the spreadsheet, the outdated diagram, and the fifteen minutes of Slack messages every time someone needs to know what’s actually on the network, replaced by a schema you can query.