Welcome to Guance

Welcome to the Guance Documentation!

Guance is dedicated to providing modern monitoring and observability cloud services

Unifying monitoring needs for cloud, cloud-native, applications, and business in the AI era

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Tech Stack Integrations

Seamlessly connect various applications, databases, infrastructure, and public cloud platforms to achieve cross-platform data collection, analysis, and monitoring

Log Analysis

Provides one-stop services for log collection, parsing, indexing, storage, and retrieval, supporting full-text search, field filtering, pattern analysis, and real-time monitoring

RUM

Captures real user behavior data on Web and mobile, records page performance and user interactions, supports session replay for issue localization, and correlates frontend and backend data for full-link root cause analysis

How to access an application?

APM

Builds service topology through distributed tracing to achieve full-stack performance monitoring. When services are abnormal, it can quickly locate code-level bottlenecks and solve performance issues like slow queries and API timeouts

Enable trace data collection

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01 What is Guance?

A one-stop observability platform covering infrastructure, APM, RUM, logs, LLM monitoring, and other functions, meeting comprehensive monitoring needs in the cloud-native and AI era

02 Quick Start

After registering with Guance, install DataKit and access data to configure views in visual interfaces like dashboards and directly view monitoring results

03 Enable Data Collection

Enable data collection through DataKit: after one-click installation, configure the required collectors and restart the service to start receiving data

Core Features

Scenes

As the core module of data visualization, it includes various display forms such as dashboards (comprehensive data monitoring views), explorers (custom data query interfaces), and notes (combining images and text), supporting flexible construction of business monitoring scenarios

Events

Records of abnormal states or important changes by the system at specific points in time, automatically triggered by monitors and SLO rules, containing information such as status level, timestamp, source, and detailed context, supporting fault discovery and root cause localization

Incident

Aggregates exceptions from intelligent detection, monitor alerts, and manual creation, displays complete context information through correlation analysis, and supports team collaboration for event status tracking and handling process recording, ultimately achieving closed-loop management of exception events

Infrastructure

Provides unified monitoring of basic architecture components such as hosts, containers, cloud resources, and network devices, collects performance metrics like CPU, memory, disk, and network in real-time, and visually displays component relationships and health status through resource topology maps

Metrics

Time-series-based system status data, containing four elements: name, value, tags, and timestamp, supports automatic collection, storage, and multi-dimensional analysis, covering full-stack monitoring needs from infrastructure and application performance to business operations

2025-11-28 2025-08-27