Overview
What We Deliver
Traditional monitoring generates thousands of alerts that overwhelm on-call teams with noise while genuine incidents get buried. AIOps replaces reactive alert storms with intelligent, autonomous operations — AI agents that correlate signals across metrics, logs, traces, and events to detect real problems, execute self-healing runbooks, and surface only what needs human judgment. Aezona's AIOps practice integrates AI-driven intelligence into your existing observability stack without ripping and replacing your tools.
Technology Stack
What's Included
Core Capabilities
Every engagement includes these capabilities, scoped to your environment and requirements.
Anomaly Detection
ML models trained on your environment's historical patterns to detect subtle deviations before they become outages.
Self-Healing Runbooks
Automated remediation agents that execute approved runbooks — pod restarts, cache flushes, scaling — without waking anyone up.
Event Correlation
Cross-signal correlation reducing thousands of related alerts to a single actionable incident with full context.
Root Cause Analysis
AI-driven causal inference pinpointing the root cause of incidents across distributed microservices in seconds.
Predictive Capacity
Forecast-based capacity planning that pre-scales infrastructure before traffic spikes occur.
Observability Integration
Native integrations with Datadog, Grafana, PagerDuty, Splunk, New Relic, and ServiceNow.
Our Process
How It Works
Ingest
Connect all observability data sources — metrics, logs, traces, events — into the AIOps platform.
Train
ML models trained on 90 days of historical data to establish normal behaviour baselines per service.
Automate
Runbook library built and tested in shadow mode — AI observes for 2 weeks before taking autonomous action.
Optimise
Continuous model retraining, feedback loops from on-call engineers, and expanding automation coverage.
Real-World Applications
Common Use Cases
Alert Storm Reduction
Microservices platform generating 10,000 alerts/day reduced to 50 actionable notifications after AIOps deployment.
Self-Healing Infrastructure
Kubernetes pods that auto-restart, scale, or reroute traffic based on anomaly signals — all without human intervention.
On-Call Burnout Relief
Remove routine operational tasks from your on-call rotation so engineers focus only on novel, high-value incidents.
Ready to transform your aiops?
Speak with a certified Aezona architect about your specific requirements. We typically scope a full proposal within 48 hours.