Log Analytics
Comprehensive analytics for Admins and the Management
Event Analysis & Correlation
- Log Categorization: Automatic grouping of similar log entries for rapid identification of recurring errors, patterns, or system events.
- Top-N Analysis: Evaluation of the most frequent errors, warnings, or event types for rapid prioritization of critical issues in system operations.
- Log-Based Metrics: Derivation of metrics from log data to make error rates, event frequencies, or system activities measurable.
- Service and Host Analyses: Evaluation of log data by hosts, services, or applications for rapid identification of affected systems.
- Drill-Down to Individual Events: Navigation from aggregated dashboards directly to individual log entries for detailed incident analysis.
- Time Period Comparison: Analysis and comparison of system behavior across different time periods to identify changes and anomalies more quickly.
Correlated Analyses
- Visualization of Events and Log Data: Display and analysis of centralized events and log data from servers, applications, network devices, and cloud services in real-time dashboards.
- Index-Based Search & Analysis: Rapid searching of large data volumes through powerful indexing and structured queries across all data sources.
- Correlation of Logs, Metrics, and Events: Linking of log data with infrastructure metrics and events for more precise analysis of system states and dependencies.
- Time-Series and Trend Analysis: Analysis of historical data through time-series visualizations to identify patterns, load peaks, and changes in system behavior.
- Custom Dashboards: Creation of customizable dashboards with charts, heatmaps, and time-series views for detailed analysis of complex system data.
- Root Cause Analysis: Utilization of correlated event and log data for rapid identification of causes in performance issues, incidents, or security events.
Made in Europe