Kloudfuse 3.0 is here—AI, K-Lens, FuseQL, Digital Experience Monitoring, and More.
Faster detection and analysis leading to reduced MMTD and MTTR
Time savings on integrating data from separate monitoring tools
Decrease in the total cost of ownership for observability.
Gain insights into every layer of your cloud-native stack
Infrastructure, cloud, and application monitoring all in one
High-performance data store with 700+ integrations
Fast, schemaless ingestion and low latency queries
Cardinality analysis for metrics, logs, and traces
Early detection and control of high-cardinality data
Data aggregation for optimized queries
Dimension reduction and removal of irrelevant data
Granular retention based on importance and compliance
AI/ML-driven anomaly detection
Correlation analysis for time series and temporal data
Service map and topology views
Real time alerts, live tail data streams, and dashboards
Analysis and discovery of unknown unknowns
Navigable logs using patent-pending fingerprinting
Keep your existing observability agents—no new installation needed
Collect data from any vendor or open source agent
Convert and keep existing dashboards and alerts
Use your Grafana dashboards or switch to Kloudfuse
Kloudfuse is 100% open source compatible
Supports metrics, logs, and traces across various languages
Uses PromQL, LogQL, TraceQL, GraphQL, and SQL to avoid vendor lock-in
Automates workflows with a low-code/no-code interface
Discovers service topology with eBPF, without extra instrumentatioт
Commit only to fixed license costs
Cut egress costs by avoiding SaaS, hosted products
Host in your VPC to utilize cloud credits and negotiated discounts
Avoid overage charges by managing observability volume-to-cost ratio with our Control Plane
Lower storage costs with deduplication and compression
