Kloudfuse Log Monitoring utilizes the industry’s first patent-pending fully distributed log fingerprinting technology. This innovative approach not only enhances storage efficiency, offering exceptional cost savings, but also enables automatic facet extraction, metric derivation, and transaction tracking, resulting in significantly faster troubleshooting.
Auto-extract facets from logs for detailed analytics
Log fingerprints deduplicate logs by sieving out static and dynamic parts of log events, helping narrow down the problematic logs
Store and index logs efficiently for improved storage and query performance
Discover trends and anomalies across log patterns and accelerate troubleshooting
Facet Analytics to Boost Log Analysis
Easily explore all detected log facets
Analyze logs by severity, source, version, and more
Advanced search, filtering, bookmarking, and grouping
High performance for over a million log events per second
FuseQL: Bridging the Gaps in Log Query Language
Rich operators for complex queries and multi-dimensional aggregations
Full-text search of log content and metadata
Enabling anomaly and outlier detection
Smarter alerts with enhanced logic for proactive problem-solving
LogQL compatibility to ease transition
Generate log-derived metrics to identify outliers
Discover trends and anomalies across log patterns
Use outlier detection, open query languages, and advanced search to pinpoint the root causes
Trace issues from logs to APM transactions to pinpoint root cause of issues
Ingest logs from Fluentd, Fluent Bit, Elastic, and more
Create consistent log data regardless of the source
View logs alongside APM and infrastructure data for complete context
Search and analyze with LogQL and interactive dashboards
Archival and Hydration to Reduce Costs and Meet Compliance
Cost-efficient long-term storage in your preferred object store (e.g., S3)
Immediate access to historical logs for compliance
Easy to navigate, readable, compressed JSON format
Tag logs for easy classification and search
Search live and archives together in a unified view
Query both archived and live logs using unique identifiers (fingerprints)
Automatically scale resources with a VPC deployment
Save on data transfer and reformatting costs compared to SaaS vendors
Save up to 20x more storage with log fingerprints to avoid duplicates
