AIOps
Perfecting IT Operations
with Polestar AI
Overview
AI-based IT operations analytics
Key Features
Performance Anomaly Detection
Anomaly detection and status analysis based on real-time performance data
Log Anomaly Detection
Anomaly Pattern Detection and Potential Failure Identification Based on Mass Log Data
AI Root Cause Analysis (RCA)
Event data-based root cause analysis and impact assessment
Solution Experience
Automatic Threshold Recommendation
By analyzing past and real-time operational data, it automatically calculates the optimal threshold for each service and applies dynamic thresholds that reflect change patterns to reduce false alarms and provide only the necessary alerts.
Solution Experience
Performance Anomaly Detection
Anomaly Detection
Detects performance anomalies early by learning normal patterns based on operational data, and analyzes change trends to identify and support responses to potential failures in advance.
Benefits
Reduce troubleshooting time
Reduce MTTR (mean time to resolution) with AI-powered root cause analysis and automated response
Operations Automation
Improving operational efficiency based on automation of the entire process of analysis, judgment, and response
Predictive Operations
Securing operational stability through proactive response based on anomaly detection
Reduce operating costs
Resource optimization and automation-based operating cost reduction




