
Kloudfuse is a unified observability platform that automates monitoring and troubleshooting across your entire modern tech stack from infrastructure to cloud services to applications. .
A startup from the United States.
This page is designed to help you find out whether Kloudfuse is good and if it is the right choice for you.
Kloudfuse is a unified observability platform that integrates with over 700 diverse infrastructures, cloud services, and applications. Its open architecture seamlessly connects with existing agents, eliminating the need for additional instrumentation. By harnessing AI and ML, Kloudfuse provides real-time anomaly detection and consolidates metrics, logs, traces, and more into a unified observability data lake. Deployed within your VPC, Kloudfuse ensures scalability, cost-efficiency, and top-tier security. Trusted by leading organizations like GE Healthcare, Tata, and Workday, Kloudfuse effortlessly integrates with your existing systems.
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Unified observability platform
Kloudfuse combines metrics, logs, traces, and real user monitoring (RUM) in a single platform, reducing tool sprawl and letting teams correlate signals across telemetry types from one interface.
Self-hosted in your own cloud
It is deployed inside the customer's own VPC or Kubernetes environment, so telemetry data stays under the customer's control. This helps with data privacy, compliance, and data residency requirements.
Open standards and ecosystem compatibility
It supports OpenTelemetry and is compatible with common agents and query languages such as Prometheus/PromQL, Grafana dashboards, and Datadog-style agents. This eases migration from existing vendors and limits lock-in.
Potential cost savings
Because the data is stored and processed in the customer's own infrastructure and the pricing model is not based on per-host or per-GB ingestion at SaaS rates, Kloudfuse positions itself as significantly cheaper than SaaS incumbents like Datadog at high data volumes.
Scalable architecture for high-volume data
It is built on a modern, scalable data stack (e.g., Apache Pinot-based storage and analytics), designed to handle high-cardinality metrics and large log and trace volumes with fast query performance.
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Check the traffic stats of Kloudfuse on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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