ON-CALL BRIEFING

Wake up to a briefing,
not a blank screen.

Your on-call engineer's phone buzzes at 2:07 AM. By the time they pick it up, Argus has already read the alert, checked the last 24 hours of deployments, walked the topology, and prepared the briefing. The investigation starts with context, not a cursor.

BEFORE
02:07 ● ● ● ● ●
PAGERDUTY
provisioning-flow is down
45 min of searching...
AFTER · ARGUS
02:07 ● ● ● ● ●
ARGUS BRIEFING
WRONG:500s since 01:58
CHANGED:deploy 23:41
ACTION:roll back
Ready in 88s
THE FIRST 45 MINUTES

Same alert. Same engineer. Two different nights.

It's 2:07 AM. The phone is buzzing. What happens next depends on what's waiting in the notification.

TODAY

The 45-minute scramble.

02:07 AM
Phone buzzes. Alert says "provisioning-flow is down." Engineer fumbles for the laptop.
02:14 AM
Logs into the VPN. Opens Datadog. Tries to remember which dashboard the service lives on.
02:23 AM
Cross-references deployments. Scrolls through Slack hoping someone left context.
02:38 AM
Searches Jira for similar incidents. Finds three, none quite the same.
02:52 AM
Forms a hypothesis. Starts the actual fix.
Outcome: 45 minutes of context-gathering before any real work begins. Sleep lost. Confidence frayed.
WITH ARGUS

The 90-second briefing.

02:07 AM
Phone buzzes. The notification opens with a structured briefing already prepared.
02:08 AM
Engineer reads: provisioning-flow returning 500s since 01:58. Deploy at 23:41 is the likely cause.
Sees what is affected downstream. Sees the suggested rollback action.
02:09 AM
Starts the fix with full context. No dashboards opened, no Slack scrolled.
Outcome: 90 seconds from buzz to action. The engineer goes back to bed having actually fixed something.
A REAL BRIEFING

What your engineer actually sees at 2 AM.

This is the briefing card that arrives with the page. No clicking through dashboards. No dragging through deployment logs. No guessing.

Argus reads the alert, checks the last 24 hours of deployment activity, queries co-occurring signals across every monitoring tool you connect, walks the service topology, and compares against past incidents on the same service.

The output is structured: what is wrong, what changed, what is affected, what to try first. Sources cited. Reasoning visible. The engineer makes the call.

This is what good tooling at 2 AM looks like: the part nobody enjoys is already done.

argus · briefing · 02:08:42
P1 · CRITICAL
INCIDENT
provisioning-flow returning 500s
WHAT IS WRONG
Provisioning Flow API returning 500 errors since 01:58 UTC. Error rate: 87% of requests. Affecting 147 customer transactions per minute.
Datadog PagerDuty
WHAT CHANGED
Deployment pushed at 23:41 UTC (PR #4127, by @m.ristevska). Touches the timeout configuration in the upstream service handler.
GitHub Jenkins
WHAT IS AFFECTED
Downstream: Order Manager, Symphonica, Customer Portal (P0). Customer Portal degraded since 02:14. Two customers have reported via support chat.
Service Topology Zendesk
SUGGESTED ACTION
Roll back PR #4127, or increase downstream timeout thresholds to 30s. Same pattern resolved by rollback in incident INC-2419 (04 NOV).
Jira INC-2419 Runbook RB-018
WHAT THIS MEANS FOR YOUR TEAM

One layer. Three quieter nights.

FOR ON-CALL ENGINEERS

The 2 AM page stops being a 45-minute scramble.

Wake up to a briefing, not a blank screen. The painful part of on-call (the search) is already done. The part that matters (the judgment) still belongs to the engineer.

FOR SENIOR ENGINEERS

Junior on-call. Senior outcomes.

Your most experienced engineers stop being the only ones who can resolve incidents at speed. Anyone in the rotation starts with the same context they would have built by hand.

FOR ENGINEERING LEADERSHIP

On-call burnout stops driving attrition.

The number one reason senior engineers leave is on-call burnout. Argus removes the worst part of it. The part that has nothing to do with engineering and everything to do with searching at 2 AM.

SEE THE BRIEFING ON ONE OF YOUR ALERTS

30 minutes. One real alert. You will know.

Bring a recent 2 AM page from your environment. We bring the demo. You'll see exactly what Argus would surface, in the format your engineer would receive on their phone.