Kloudfuse 3.0 is here—AI, K-Lens, FuseQL, Digital Experience Monitoring, and More.
The industry's first unified observability platform for high cardinality data across all observability streams, seamlessly integrates into any environment, operates cost-effectively within your VPC, and delivers a smooth, SaaS-like experience.
Gain comprehensive visibility into your observability data across metrics, events, logs, and traces. Easily ingest, monitor, and analyze data from over 700 sources, including a wide range of infrastructure, cloud, and applications, all within a single, unified view.
Utilize advanced data shaping, data transformation, and cardinality reduction features to efficiently ingest, process, store, and query large volumes of observability data at minimal costs.
From advanced analytics and log fingerprinting to interactive data exploration and AI/ML anomaly detection, tap into powerful tools and real-time analytics to identify and resolve incidents faster.
Define and monitor SLOs to track performance metrics and receive actionable, context-aware alerts. Enhance your service reliability with proactive monitoring and smarter alerting.
Integrate Kloudfuse with your vendor or open-source observability agents without needing to re-instrument. Utilize open telemetry, open query languages, and an open architecture for a seamless, risk-free solution that avoids the overhead of managing open-source tools.
Deploy Kloudfuse within your VPC to enhance security and scalability for handling large volumes of observability data. Utilize a centralized control plane for easy management and cost optimization. RBAC and SSO enhance security by managing user permissions and simplifying access controls.
New in Kloudfuse 3.0
Kloudfuse also supports ARM processors for cost reduction and efficiency, meeting large-scale observability needs.
The data plane runs within your cloud account, giving you data privacy, security, and full control over your costs, while the control plane is a managed service by Kloudfuse, designed to monitor the health and manage the life cycle of the data plane.
