PagerDuty is the best in the world at one thing: getting the right alert to the right person, fast, with on-call schedules, escalation policies, and an incident-response workflow around it. None of that is what Plexus does, and on that ground PagerDuty wins outright. Plexus is the layer underneath. It's where the fleet's telemetry lives — streamed from devices or read from the datastore you already run — where the dashboards generate themselves, and where the monitors are defined: threshold, event, and offline, each with its own routing to email, Slack, or webhooks. PagerDuty starts when an alert exists; Plexus is where it comes from.
PagerDuty is a on-call & incident response (aiops). PagerDuty routes alerts to the right human fast; Plexus is where the telemetry, dashboards, and monitors behind those alerts live — and its webhooks can hand a firing monitor to PagerDuty. This page is written by Plexus, so read it with that in mind — we’ve tried to be straight about where PagerDuty is the better choice. Last updated July 2026.
The two compose cleanly because they're different layers. Plexus watches the telemetry, fires the monitor, and keeps the full alert timeline — and a per-monitor webhook can hand that firing alert to PagerDuty to run the escalation. What Plexus adds underneath is legibility: every alert carries its history and a captured verdict on whether it was real, so over time you tune the monitors on evidence instead of memory.
● full · ◐ partial · ○ not today
| Capability | Plexus | PagerDuty |
|---|---|---|
On-call scheduling, escalation, and paging PagerDuty is the gold standard for on-call orchestration. Plexus routes notifications to email, Slack, and webhooks — and a webhook can hand off to PagerDuty. | ○ | ● |
Incident-response workflow, status pages, postmortems PagerDuty's incident-management suite is broad; Plexus is the monitoring layer, not an incident-response product. | ○ | ● |
Mature integrations with alerting sources PagerDuty ingests alerts from nearly everything; Plexus is itself an alerting source with fewer inbound integrations. | ◐ | ● |
Watches the underlying telemetry and fires the alerts PagerDuty consumes alerts other tools already fired; Plexus is the layer that reads the telemetry and defines the monitors in the first place. | ● | ○ |
Threshold, event, and offline monitors with per-monitor routing Monitors live in Plexus, each with its own email, Slack, or webhook delivery — including offline detection when a source goes dark. | ● | ○ |
Per-alert audit trail with verdict capture PagerDuty tracks incident timelines; Plexus keeps the full alert lifecycle plus the operator's verdict on whether it was real, tied back to the monitor that fired it. | ● | ◐ |
Fleet dashboards and live telemetry views Dashboards, streaming views, and the ⌘K terminal are Plexus's home ground; PagerDuty is not an observability surface. | ● | ○ |
Pick PagerDuty Pick PagerDuty if you need best-in-class on-call scheduling, escalation, and incident-response workflow — that's the job it owns, and nothing Plexus does replaces it.
Pick Plexus Pick Plexus for the layer underneath: the telemetry, dashboards, and monitors that decide when an alert exists — with per-monitor routing, offline detection, and an audit trail on every alert. If you run PagerDuty, a Plexus webhook hands the firing monitor straight to your escalation policies.
No — they're different layers. PagerDuty is the paging and incident-response layer: schedules, escalations, workflow. Plexus is the monitoring layer: the telemetry, dashboards, and monitors that produce the alerts in the first place. Small teams sometimes run Plexus alone, routing alerts to email or Slack; teams with a real on-call rotation keep PagerDuty and feed it from Plexus webhooks.
Yes. Plexus monitors route per-monitor to email, Slack, or webhooks, and a webhook target can be PagerDuty's Events API — so a firing threshold, event, or offline monitor lands in your existing escalation policies with its Plexus alert history a click away.
The source of truth for the alert. Every Plexus alert carries its full timeline — when it fired, what the telemetry showed, how it was delivered, when it resolved — plus a captured verdict on whether it was real. That history lives with the monitor, so tuning your alerting becomes an evidence-driven loop instead of guesswork.