Kloudfuse
Unified observability with MCP natural language queries and AI/ML anomaly detection.
About
Kloudfuse is a unified observability platform covering metrics, logs, traces, real user monitoring, and profiling from an observability data lake. It integrates with over 700 infrastructures and existing agents, deploys inside the customer's VPC, and converts dashboards into open query languages.
Its AI-native direction includes an MCP server for natural language queries across telemetry, AI and ML for real-time anomaly detection and correlation analysis, and dedicated LLM telemetry integrated into APM via OpenTelemetry standards for monitoring AI workloads.
What it can do
- Unified metrics, logs, traces, RUM, and profiling in one data lake
- MCP server for natural language telemetry queries
- AI/ML anomaly detection and correlation analysis
- LLM telemetry and token monitoring integrated into APM
Setup
Book a demo or trial on kloudfuse.com; connect existing agents or OTel collectors; deploys within your VPC.
Prerequisites
Existing monitoring agents or OpenTelemetry instrumentation; a VPC for the self-hosted deployment model.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 111; Trending score 72/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.