.jpg)
As enterprise infrastructure increasingly blends traditional applications with AI workloads, the demand for observability that is both unified and intelligent has intensified. Kloudfuse has responded with the launch of Kloudfuse 3.5, a major platform update designed to revamp observability for the AI era. The release introduces a Model Context Protocol (MCP) server for natural language querying, implements FIPS 140-2/3 validated cryptographic modules for regulated industries, and delivers extensive platform engineering controls for cost and data governance, all built on an OpenTelemetry-native foundation.
Kloudfuse 3.5 launches with a Model Context Protocol (MCP) server, enabling AI agents to query observability data using natural language.
The platform integrates LLM observability directly into APM using OpenTelemetry, tracking prompts, tokens, and errors.
It achieves FIPS 140-2/3 validation for cryptography and establishes a FedRAMP authorization pathway for U.S. public sector compliance.
New platform engineering controls include stream-specific rate limits, granular RBAC, consumption tracking, and service accounts for automation.
The proprietary FuseQL query language is enhanced with scheduled views and advanced operators for complex analysis.
The platform maintains a "Self-SaaS" architecture, deployed in a customer's VPC to ensure data sovereignty and control.
A cornerstone of the release is making observability accessible to AI systems themselves. The integrated MCP Server allows AI agents from platforms like Claude or ChatGPT to ask natural language questions about system performance and receive correlated insights across metrics, logs, and traces. Concurrently, LLM Observability capabilities are baked directly into the APM, allowing teams to monitor AI-specific telemetry such as prompt tracing, token usage, and model errors within the same context as traditional services.
Recognizing the needs of government and highly regulated sectors, Kloudfuse 3.5 embeds FIPS 140-2/3 validated cryptographic modules throughout its data pipeline. This, combined with a defined FedRAMP authorization pathway, addresses stringent compliance requirements. Kishore Thakur of Zscaler noted the platform's ability to handle massive scale "while meeting stringent security requirements, including FIPS 140-2 compliance."
The update heavily focuses on empowering platform engineering teams with fine-grained control. New features include stream-specific rate controls to prevent cost overruns, data scrubbing across all telemetry types for privacy compliance, and stream-specific RBAC to enforce least-privilege access. Consumption tracking dashboards enable precise cost attribution and showback/chargeback models, while service accounts facilitate GitOps and automation.
Kloudfuse's unified query language, FuseQL, receives significant upgrades with scheduled views for performance and advanced operators for complex pattern matching and time-range comparisons. This aims to eliminate the need for separate, specialized log analytics tools by providing deep analytical power within the unified platform.
The platform reiterates its foundational commitment to OpenTelemetry, using it to visualize Kubernetes topology and ingest cloud metrics without proprietary agents. The Self-SaaS deployment model ensures all data remains within the customer's own virtual private cloud (VPC), providing the control and cost predictability of on-premises software with the operational simplicity of SaaS.
Kloudfuse 3.5 represents a comprehensive attempt to solve the modern observability trilemma: achieving unified visibility across traditional and AI systems, maintaining stringent security and compliance, and providing enterprises with ultimate control over their data and costs. It positions the platform as a contender for organizations outgrowing fragmented, costly, or restrictive observability suites.
About Kloudfuse
Kloudfuse is a unified observability platform integrating with over 700 diverse infrastructures, cloud services, and applications. By harnessing open standards like OpenTelemetry and Prometheus, Kloudfuse eliminates vendor lock-in while providing advanced capabilities across metrics, logs, traces, events, and real user monitoring. Deployed within customer VPCs, Kloudfuse ensures scalability, cost-efficiency, and enterprise security. Trusted by leading organizations like Zscaler, GE Healthcare, Tata 1mg, and Innovacer, Kloudfuse delivers observability that enterprises can operate with confidence.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones—and thrive on the tech pulse.