Incident analysis with real infrastructure context posted straight into PagerDuty
Spring Agents pulls live metrics from your cloud environment, detects capacity patterns, and delivers ranked root causes with FinOps insights, all as a structured note on the incident your team is already working. No new tools. No data pipelines.
No credit card required. Set up in under 5 minutes.
fewer repeats better outcomes
How it works
Connects via webhook. Enriches with live cloud metrics. Posts structured analysis back to the incident. Under five minutes to set up.
PagerDuty sends the webhook
Sign up, paste your unique webhook URL into PagerDuty. Incidents flow in automatically when alerts fire.
Cloud context gathered automatically
Resource identifiers are extracted from the alert. Real metrics pulled from Azure Monitor: CPU, disk, vCore usage, cost data.
Structured analysis posted to the incident
Three ranked root causes with confidence scores, numbered runbook steps, FinOps insights, and cost context, posted directly onto the PagerDuty incident within seconds.
What your team sees
This is the full analysis posted directly onto your PagerDuty incident. One note, everything your on-call needs.
Disk space critical on PRODDATA02. F: drive at 94% (3.2 GB free on 50 GB). Log growth from /var/log consuming 18 GB with no rotation policy in place.
/var/log consuming 18 GB with no rotation configured. Growth rate suggests full disk within 36 hours without intervention.
Recent batch process may have dumped to /tmp. 5 GB in temp files detected.
Single threshold breach, disk usage stable in prior 24h.
- Check largest directories:
du -sh /var/log/* | sort -rh | head -10 - Review log rotation config:
cat /etc/logrotate.d/* - Clear stale temp files:
find /tmp -mtime +7 -delete
The intelligence loop
Every correction makes the next analysis smarter.
Built for IT Operations teams
Not another dashboard. Cloud-aware analysis that works inside the incidents you already have.
Cloud-aware root causes
Real CPU, disk, memory, and vCore metrics pulled from Azure Monitor before hypotheses are generated. Not guessing from alert text alone.
FinOps insights on every incident
Chronic under-provisioning, cost-of-inaction estimates, and right-sizing surfaced with dollar figures.
Human in the loop
Thumbs, or a one-click correction. Your feedback trains the model for your environment.
Incident-type specialization
Purpose-built analysis per alert type. Each gets tailored metrics and runbook steps.
Scannable structured notes
Summary, ranked causes, confidence scores, runbook steps. Designed to read at 3am.
Zero infrastructure changes
Connects via webhook. Posts notes through your existing PagerDuty key. Optional Azure credentials unlock real metrics.
Built on PagerDuty's official webhook API
Connects in under 5 minutes. AI analysis posts directly onto your incidents as notes.
Simple pricing
Pay for what you use. Upgrade or downgrade anytime.
Free
- AI incident analysis
- PagerDuty note posting
- Usage dashboard
Starter
- Everything in Free
- Webhook signature verification
- Email support
Growth
- Everything in Starter
- Priority support
- Custom root cause categories
Enterprise
- Everything in Growth
- Dedicated support
- SLA guarantee
Need unlimited? Contact us about Enterprise Plus.
Better context on every incident your team already responds to
Live infrastructure metrics, ranked hypotheses, and the cost context to justify fixes before the next page. Works inside PagerDuty. Nothing new to deploy. 25 free incidents to start.
Get started free