AI Operations

AIOps

Stop reacting to outages and start preventing them. AI-powered monitoring that learns your normal, detects anomalies before users notice, and triggers automated remediation — all without waking up your team.

AIOps Live MonitorHighMedLowAnomaly DetectedCPUMemoryAuto-remediation: scaled CPU +2 pods · 4s ago

คุณสมบัติหลัก

Intelligent Monitoring

AI learns your baseline and flags deviations — no manual threshold-setting required.

Automated Incident Response

Automatic detection, classification, and resolution without waiting for a human to notice.

Predictive Maintenance

Predict hardware and software failures days before they cause downtime.

Anomaly Detection

Real-time detection of unusual patterns across logs, metrics, and traces simultaneously.

ขั้นตอนการทำงาน

1

Data Integration

Connect monitoring data from servers, apps, networks, and cloud services.

2

Baseline Learning

AI models learn normal operational patterns over 2–4 weeks.

3

Alerting & Response

Deploy intelligent alerts and automated remediation playbooks.

4

Continuous Optimization

Refine models monthly based on operational feedback and new incidents.

เทคโนโลยีที่ใช้

MoogsoftBigPandaDatadogNew RelicElastic StackPagerDutyPrometheusGrafana

ประโยชน์ที่ได้รับ

Incidents resolved 70% faster
Failures predicted before they happen
Alert noise reduced by 90%
System reliability dramatically improved
Lower operational costs through automation
MTTR reduced from hours to minutes

พร้อมเริ่มต้นแล้วใช่ไหม?

คุยกับทีมเรา และรับคำปรึกษาฟรีที่ตรงกับธุรกิจของคุณ

นัดปรึกษาฟรี