Kloudfuse 3.0 is here—AI, K-Lens, FuseQL, Digital Experience Monitoring, and More.

Advanced Analytics and ML/AI Anomaly Detection

Advanced Analytics and ML/AI Anomaly Detection

Identify and Resolve Incidents Faster

Identify and Resolve Incidents Faster

High Cardinality and High Dimensionality Data Analytics

High Cardinality and High Dimensionality Data Analytics

High Cardinality and High Dimensionality Data Analytics

New in Kloudfuse 3.0


K-Lens uses outlier detection to analyze thousands of attributes within high-dimensional data, offering heatmaps and multi-attribute charts that quickly pinpoint the sources of specific issues.


Real-time cardinality analysis detects high-volume data during ingestion, lowering storage and processing costs while enhancing manageability.


Metrics roll-ups enhance query performance during diagnostics and troubleshooting.

Advanced Analytics

Advanced Analytics

Advanced Analytics

Kloudfuse offers comprehensive analytics, reporting, and dashboards across all observability streams, including metrics, events, logs, and traces. Powered by Apache Pinot, our real-time OLAP datastore ensures ultra-low-latency analytics at high throughput, designed for high volume observability data. 

Interactive Data Exploration 

Interactive Data Exploration 

Interactive Data Exploration 

Visualize service dependencies and application relationships with interactive service maps and topology views. Investigate incidents in real time with drill-down dashboards or query using languages like PromQL, LogQL, TraceQL, GraphQL, and SQL. Kloudfuse also supports both embedded and external Grafana dashboards, providing users with flexible access and customization options.

AI/ML Anomaly Detection

AI/ML Anomaly Detection

AI/ML Anomaly Detection

Utilize our advanced anomaly and outlier detection methods, including rolling quantile, SARIMA, DBScan, and seasonal decomposition. For root cause analysis, we apply the Pearson Correlation Coefficient to correlate MELT data.


New in Kloudfuse 3.0: Introducing Prophet

With Prophet, Kloudfuse manages irregular time series that include missing values and outliers, such as gaps from outages or low activity. This results in less tuning and improved forecast, even with limited training data.

Log Fingerprinting

Log Fingerprinting

Log Fingerprinting

Kloudfuse’s patent-pending fingerprinting technology automatically extracts patterns from log messages during ingestion. This helps in analyzing logs by severity, source, version, and other parameters, aiding root cause analysis and detecting unexpected log signatures as anomalies for further investigation. 

Observe. Analyze. Automate.

Observe. Analyze. Automate.

Observe. Analyze. Automate.

All Rights Reserved ® Kloudfuse 2024

Terms and Conditions

All Rights Reserved ® Kloudfuse 2024

Terms and Conditions

All Rights Reserved ® Kloudfuse 2024

Terms and Conditions