Infrastructure Monitoring & Alerting
A lightweight read-only agent installed on every server. Streams CPU, RAM, disk I/O, network throughput, and custom app metrics every 30 seconds. Works on bare metal, AWS EC2, GKE, DigitalOcean, or any Linux VPS — no firewall changes, no SSH keys stored, zero write access ever.
Replaces: Datadog Agent · New Relic · Prometheus + Grafana
CPU per-core, RAM, swap, disk IOPS, network — streamed real-time, not polled hourly
HTTP/HTTPS checks from multiple global regions, SSL expiry alerts at 30/14/7 days
Track PHP-FPM, Sidekiq, Gunicorn. Parse Nginx/Apache error logs in real time
WhatsApp, Telegram, Slack, email — simultaneously — with custom thresholds
Incident Intelligence & Fix Suggestions
When an alert fires, the AI engine reads every available signal — metrics, error logs, database query times, and your deployment history — and returns the root cause in under 30 seconds with exact, stack-specific fix instructions attached to the notification.
Replaces: PagerDuty · incident.io · Blameless · manual post-mortems
Correlates CPU, memory, disk, error logs, and last 10 deploys with a confidence score.
Exact shell commands, rollback steps, and config changes tailored to your stack.
P1/P2 alerts instantly create a ticket with AI analysis pre-filled.
SEV1 incidents spawn a dedicated channel with the AI diagnosis as the first message.
Multi-Cloud Cost Intelligence
Read-only connection to your AWS, GCP, and Azure billing APIs. CloudLens continuously scans your entire cloud footprint for waste — idle instances, over-provisioned databases, orphaned storage — and delivers the exact dollar savings available for each recommendation.
Replaces: CloudHealth · AWS Cost Explorer (manual) · Apptio
Idle EC2, over-sized RDS, orphaned EBS — each flagged with current cost and projected monthly savings.
AI predicts next month's bill with 90%+ accuracy and alerts when spend trends 15% above forecast.
One dashboard for AWS, GCP, Azure. Drill by service, region, team, or resource tag.
Every Monday: spend vs budget, waste found, savings captured, and AI cost reduction recommendations.
CI/CD Intelligence & Dev Productivity
Read-only webhooks from GitHub and GitLab. Automatically calculates all four DORA metrics daily, identifies the specific bottlenecks costing your team lead time, detects flaky tests, and sends your CTO an AI-generated weekly engineering health digest every Monday morning.
Replaces: LinearB · Sleuth · Faros · manual DORA spreadsheets
Deployment Frequency, Lead Time, Change Failure Rate, and MTTR — auto-calculated daily.
AI identifies what's costing lead time, ranked by impact with a recommended fix.
Tests that fail intermittently identified by correlating patterns across pipeline runs.
Every Monday: DORA trends, top 5 bottlenecks, deployment risk score, and AI recommendations.
Every step is automated. Your engineer receives a WhatsApp message with the root cause and exact fix steps before they've had time to open their monitoring dashboard.
Read-only agent streams 30+ metrics every 30 s from every server, database, and API.
AI cross-references metrics, error logs, DB query patterns, and the last 10 deploys simultaneously.
Root cause in < 30 s — not "CPU spike" but the exact process, query, or deploy responsible.
Exact shell commands, rollback steps, and config changes generated for your specific stack.
Full diagnosis + fix plan sent simultaneously via WhatsApp, Telegram, Slack, and email.
Every architectural decision in RobustPilot was made to protect your engineers' sleep, your users' experience, and your CFO's budget.
Pay by team size, not server count. Your bill stays fixed whether you run 5 servers or 500. 14-day free trial on every plan.
14-day free trial on all plans · No credit card required · Cancel anytime
2,400+ engineers across the US, Middle East, Japan, Australia & Europe use RobustPilot in production today.
"RobustPilot cut our MTTR from 45 minutes to under 8. The AI root cause analysis is remarkable — it identified a N+1 query problem we'd been chasing manually for three weeks."
"Getting a WhatsApp message at 3am with the exact git revert command instead of a vague CPU alert was a revelation. Our on-call experience is completely different now."
"CloudLens found $4,200/month in waste in the first week. The CFO now looks forward to the Monday morning report. I never expected to say that about a DevOps tool."