Automatic service topology discovery
UModel automatically discovers call relationships between services and builds topologies:
Call relationship discovery: Automatically detects call relationships between services from tracing data.
Dependency mapping: Creates a graph of service dependencies on external resources, such as databases and middleware.
Dynamic topology updates: Updates the service topology in real time to reflect changes in the system architecture.
Multilayer topology: Supports topology views at different granularities, such as service, instance, and infrastructure levels.
Cross-domain data association analysis
UModel associates data across different observation domains:
Application and infrastructure association: Analyzes the association between abnormal application performance and the status of underlying resources.
Log and metric association: Analyzes the association between log errors and abnormal performance metrics.
Security and business association: Analyzes the impact of security events on business.
Cost and performance association: Analyzes the association between resource costs and performance.
Full-stack observability and monitoring
UModel supports full-stack monitoring from the frontend to the infrastructure:
Application layer monitoring: Monitors and analyzes services, interfaces, and business flows.
Middleware monitoring: Monitors the performance of middleware, such as databases, caches, and message queues.
Infrastructure monitoring: Monitors underlying resources, such as hosts, containers, networks, and storage.
Business monitoring: Monitors business-level data, such as business metrics, user experience, and revenue impact.
Intelligent fault root cause analysis
UModel provides intelligent fault analysis based on an Entity Relationship Diagram:
Multi-dimensional association analysis: Performs comprehensive analysis by combining abnormal metrics, log errors, and trace anomalies.
Spatio-temporal association analysis: Analyzes fault propagation paths based on time and space dimensions.
Change impact analysis: Automatically associates change events, such as code releases and configuration changes.
Historical pattern recognition: Performs similarity analysis and prediction based on historical fault patterns.
AIOps intelligent operations
UModel provides a standardized data foundation for AIOps:
Multi-dimensional association analysis: Performs comprehensive analysis by combining abnormal metrics, log errors, and trace anomalies.
Anomaly detection: Detects anomalies across multiple dimensions using a unified data model.
Intelligent alerting: Reduces alert noise and improves alert quality using entity relationships.
Intelligent inspection: Regularly checks the health status of key entities and their relationships.