Overview

In the cloud-native era, traditional monitoring platforms based on established practices and fixed templates have proven inadequate. Organizations require more flexible and adaptive observability solutions capable of discovering "unknown unknowns." The Guanyun Intelligent Observability Platform (hereinafter referred to as "Guanyun") is a next-generation observability solution launched by Tingyun to enhance system visibility for enterprise customers and enable a quantum leap in observability capabilities.

As a cutting-edge industry solution, Guanyun integrates Tingyun's years of technical expertise with deep understanding of enterprise requirements. The platform innovatively introduces data lakehouse and lite application architectures, revolutionizing data exploration and system observation. It provides unified, low-cost, high-performance data storage framework that governs, stores, and queries all observability signal data, while achieving compute-storage separation and high availability at the architectural level. Built on this new observability data storage and compute architecture, Guanyun further optimizes the underlying storage based on observability data models, delivering a more streamlined solution with lower resource footprint that supports continuous integration of OpenTelemetry-standard observability data.

Based on this architecture, Guanyun integrates data collection and governance, problem analysis and resolution, and application security protection into a unified platform. On one hand, through unified data ingestion and governance policies, it ensures that all types of observability signals are normalized and efficiently indexed upon entering the lakehouse. On the other hand, combined with scenario-based analysis and visualization, it supports closed-loop troubleshooting from alert detection to root cause identification. This enables enterprises to complete critical tasks such as problem identification, root cause analysis, and security protection on a single platform, improving collaboration efficiency between operations and development teams while providing reliable operational insights for the business. Consequently, organizations can reduce operational costs while more efficiently achieving core business objectives.