BigBoard — Ask your infrastructure

The shift

Monitoring tells you it's down. It rarely tells you why, what it costs, or what to do next.

Those harder questions usually get answered in spreadsheets, runbooks and chat threads — long after they mattered. BigBoard keeps the answer in the same place as the data.

The usual stack

Status lights and tab-hopping

A wall of dashboards that says up or down — and little else
Root cause lives in someone's head, or last quarter's incident doc
Capacity and cost questions wait for a manual export
After hours, the first responder is whoever's awake

With BigBoard

One place. Ask in plain language.

Ask a question; get an answer backed by your real metrics
The assistant pulls history and correlates across the fleet, on the spot
Utilization and growth trends are a query, not a project
Alerts open an investigation and do the first triage automatically

One source of truth · four jobs

Observability isn't just an engineering tool. It's a business tool.

The same live data serves the person fixing the problem, the person on site, the person paying the bills, and the person who picks up first. BigBoard speaks to all four.

Engineers

Diagnose fast, with evidence

Pull metric history, correlate anomalies across hosts, and query the whole fleet mid-conversation — without leaving the board or stitching together three tools.

Backed by AI channels · metrics history · cross-object aggregation

Field technicians

Troubleshoot on site

Real-time device state and reachability for the rack in front of you, plus an assistant that walks the live data with you — so a site visit ends in a fix, not a follow-up.

Backed by ICMP · SNMP · Modbus · PDU/UPS agents

Decision-makers

Spend with evidence

Capacity and growth trends, utilization by site or team, hardware lifecycle and power draw. Telemetry becomes the basis for the next budget — not a guess.

Backed by historical metrics · attribute metadata · group-by trends

Support & triage

A first responder that's always on

An always-available assistant that diagnoses against real data before a human is paged — and hands the next person a head start instead of a blank page.

Backed by AI channels · alerting investigations

Ask, and it investigates

Ask in plain language. It queries your live data and shows its work.

BigBoard's assistant doesn't just summarize a chart. It reaches into your fleet mid-conversation — pulling metric history, searching devices, and correlating across hosts — then explains what it found and where it looked.

You stay in control: every answer is grounded in your own data, with the queries it ran in plain sight.

The assistant runs server-side, inside the platform. Your API keys never touch the browser — a deliberate design choice after watching the industry burn keys shipped in client-side code.

ask — production fleetlive

You

db-replica-03 felt slow this afternoon. What happened?

BigBoard

↳ queried metric history · db-replica-03 · 14:00–18:00

↳ correlated disk & network across 4 peers

Between 15:10 and 15:50, disk read latency on db-replica-03 tripled while inbound network held flat — consistent with a local I/O bottleneck, not replication lag. CPU and memory stayed nominal, and no peer showed the same pattern. Worth checking the slow-query log for that window.

You

Has it happened before?

BigBoard

Yes — a similar 30–40 min spike on May 28 and May 31, both just after 15:00. Looks like a recurring scheduled job.

Compose, don't configure

Describe the view you need. BigBoard builds it.

No widget library to wire up, no drag-and-drop afternoon. Ask for "an executive view of all sites" or "everything wrong right now," and BigBoard assembles the panels — health rollups, top consumers, metric timelines, device detail — into a layout that fits the question.

Save the ones you like. Put the important one on the wall. Hand a customer their own.

A library of purpose-built panel types and layouts — composed for you, not configured by you.

BigBoard fleet overview: a Fleet Health score of 95, status counts (21 total, 20 healthy, 1 critical), live device tiles with CPU and memory, and a fleet composition chart — all composed into one view.

Actual BigBoard, composed from one request, on our live fleet.

In action · real product, live fleet

Not a mockup. This is the board, on our own fleet.

Every screen here is BigBoard running against the live fleet — real hostnames, real metrics, captured straight from the product.

BigBoard trends view: 24-hour CPU and memory charts for a host, fleet utilization KPIs, and a status matrix grouped by device type. — **Trends & KPIs.** 24-hour CPU and memory, fleet-wide utilization, and a status matrix by device type — the view a decision-maker actually reads.

BigBoard alerts view: active alerts tagged with their rule, a threshold-proximity list, and the top consumers by usage. — **Alerts & triage.** Active alerts with the rule that fired them, what's closest to threshold next, and the top consumers right now.

Coverage

One agent. The whole rack.

BigBoard sees what's actually in your environment — not just the servers. A single native agent and a set of protocol pollers cover compute, network, power and industrial gear.

Servers

FreeBSD · Linux · macOS · Windows — CPU, memory, disk, ZFS, network

Network

Switches, routers, firewalls via SNMP v2c / v3

Power

UPS battery & load · Raritan PDU inlets, outlets, sensors

Industrial

Any Modbus TCP device, mapped from a register file

Streaming telemetry

gNMI / OpenConfig from Juniper, Cisco, Nokia, Arista & more

Reachability

ICMP ping checks for anything with an address

Logs

Passive syslog ingestion, alongside metrics

Beyond the rack

External feeds too — e.g. live ERCOT energy-market pricing

Single native binary. No runtime, no interpreter, no agent sprawl. OpenTelemetry-native. OTLP metrics land directly. Live updates over WebSocket — no refresh button.

Alerting

Alerts that do the first triage.

Define a rule by where it applies in your fleet, not by hand-listing devices. When it fires, BigBoard opens an investigation, starts gathering, and routes to the right people.

01 — scope

Rule by subtree

One rule covers a site, a rack, or a device type — and follows new devices automatically.

02 — fire

Open an investigation

Each event becomes a tracked investigation with its own timeline and findings.

03 — notify

Reach the right people

Deliver by email, SMS or webhook, with escalation when it isn't acknowledged.

04 — trust

Backtest first

Replay a rule against real history to see how often it would have fired — before it ever pages anyone.

Email · SMTP SMS · Twilio Webhook · HTTP POST Acknowledge & resolve Escalation Investigation history

For teams who run other people's fleets

Many fleets, never mixed up.

Managed service providers and multi-site operators get isolation by design, not bolted on after the fact — so onboarding a customer doesn't mean inheriting their risk.

Per-customer isolation Separate instance, data, configuration and access for every customer.
Role-based access Grant each team or client visibility to exactly their own infrastructure.
White-labelable boards Hand a customer a dashboard that looks like yours.
API for your tools Wire alerts and inventory into the systems you already run.

Stop watching dashboards.
Start asking your infrastructure.