Kloudfuse is an AI-powered unified observability platform that integrates metrics, logs, and traces into a single data lake, enabling real-time analytics and anomaly detection without the need for new instrumentation. It reduces observability costs by up to 90% while providing faster incident resolution and significant time savings in data integration.
Funding
Funding not disclosed
Founders
Product
Problem
Modern enterprises often struggle with fragmented observability data spread across multiple monitoring tools, leading to increased mean time to resolution (MTTR) and higher costs. Integrating data from disparate sources requires significant engineering effort, and vendor lock-in can limit flexibility and increase expenses.
Solution
Kloudfuse provides an AI-powered unified observability platform that consolidates metrics, logs, traces, and digital experience monitoring data into a single data lake. The platform integrates with over 700 data sources and existing observability agents, eliminating the need for new instrumentation. Kloudfuse leverages AI/ML-driven anomaly detection, correlation analysis, and service topology views to accelerate incident resolution. By deploying within the customer's VPC, Kloudfuse avoids egress costs and ensures data security while offering a predictable, flat-rate pricing model.
Target Audience
Kloudfuse targets enterprises seeking to reduce observability costs, improve incident resolution times, and gain greater control over their data, including SREs, DevOps engineers, and platform teams.
Features
- Unified observability data lake for metrics, logs, traces, events, and digital experience monitoring
- AI/ML-driven anomaly detection and correlation analysis for faster root cause identification
- Support for open standards including PromQL, LogQL, TraceQL, GraphQL, and SQL
- Integration with 700+ data sources and existing observability agents (e.g., Grafana, Prometheus)
- VPC deployment for enhanced security, compliance, and cost control
- Fixed license costs with no egress fees or overage charges
- Automated service topology discovery using eBPF without requiring extra instrumentation
- Low-code/no-code interface for workflow automation