AIOps · Autonomous IT Operations

Turn alert noise into resolved incidents, automatically.

AIOpsTec correlates every metric, log, and trace across your stack, catches anomalies before they page anyone, and resolves what it can before a human ever opens the ticket.

Built to sit alongside Prometheus, Datadog, PagerDuty and your existing runbooks, not replace them.
incidents.aiopstec.iomonitoring
anomaly detected
-15m-10m-5mnow
247 alerts → payments-api1 incident
payments-api · p99 latencyauto-resolved
checkout-db · pool exhaustionrouted → @maria
4m 12s
MTTR
96%
noise reduced

What AIOpsTec does

Four ways to stop firefighting production.

Four capabilities. One platform. No guesswork.

01

AI-Driven Monitoring & Anomaly Detection

Continuous baselining across metrics, logs, and traces, so a real deviation stands out instead of drowning in noise.

02

Automated Incident Response

Known failure patterns trigger a runbook and resolve themselves. Everything else routes to the right engineer with full context attached.

03

Predictive Analytics & Proactive Maintenance

Forecast capacity limits and failure patterns before they become an incident, and act on SLO burn-rate before it burns through your error budget.

04

AIOps Consulting & Implementation

Hands-on rollout across your existing stack: integration, tuning, and training so the platform earns your team's trust from week one.

No fluff

Here's what you actually get.

No black box, no lock-in, no more noise. Just fewer 3am pages.

No rip-and-replace

Works alongside Prometheus, Datadog, and PagerDuty from day one, not instead of them.

No black box

Every auto-resolution ships with the reason it fired and a one-click rollback.

No alert fatigue

Noise drops before your team even opens the dashboard, not after.

No lock-in

Bring your own runbooks. Your data and your models stay yours.

The pipeline

How AIOpsTec works

One continuous loop, running underneath your stack.

01

Ingest

Connect your existing stack: Prometheus, Datadog, CloudWatch, Kubernetes events, PagerDuty. No rip and replace.

02

Correlate & detect

Models learn what normal looks like, then cluster related alerts into one incident instead of forty separate pages.

03

Act

Runbooks resolve the incidents you've seen before. New ones route to the right on-call engineer with root cause already narrowed down.

04

Learn

Every incident, resolved or escalated, sharpens the next detection and pushes the next prediction further out.

No rip and replace

Works with your stack

KubernetesPrometheusGrafanaDatadogAWS CloudWatchOpenTelemetryPagerDutySlackTerraform

Contact

Stop paging humans for what a machine can fix.

Tell us about your stack. We'll get back to you and set up a walkthrough on a sandbox modeled on it.