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Welcome to TrueWatch

Welcome to the TrueWatch Documentation!

TrueWatch 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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Technology Stack Integrations
Seamlessly connect various applications, databases, infrastructure, and public cloud platforms to achieve cross-platform data collection, analysis, and monitoring.
Log Analysis
Provides a one-stop service 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 service anomalies occur, quickly locate code-level bottlenecks to resolve performance issues like slow queries and API timeouts.
 Enable Trace Data Collection

Start Exploring

01 What is TrueWatch?

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

02 Quick Start

After registering with TrueWatch, install DataKit and connect data, then configure views in visual interfaces like dashboards to directly view monitoring results.

03 Enable Data Collection

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

Core Features

Insight Scenarios
As the core module for data visualization, it includes various display forms such as dashboards (comprehensive data monitoring views), explorers (custom data query interfaces), and notes (combining text and images), supporting flexible construction of business monitoring scenarios.
key Event Center
Records of abnormal states or important changes at specific points in time, automatically triggered by monitors or SLO rules, containing information such as status level, timestamp, source, and detailed context, supporting fault discovery and root cause localization.
exception-tracking Incident
Aggregates anomalies from intelligent detection, monitor alerts, and manual creation, displays complete contextual information through correlation analysis, supports team collaboration for event status tracking and process recording, and ultimately achieves closed-loop management of incident events.
object-sidebar Infrastructure
Provides unified monitoring for foundational architecture components such as hosts, containers, cloud resources, and network devices, collects performance metrics like CPU, memory, disk, and network in real-time, and visualizes component relationships and health status through resource topology maps.
index-sidebar 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.
test Synthetic Tests
Simulates user requests through globally distributed monitoring nodes to detect the availability and response performance of services such as websites, APIs, and ports, providing multi-region availability statistics, performance comparison analysis, and fault alerts.
SIEM Security Monitoring
Continuously monitors system security status, including security event log analysis, vulnerability scan result monitoring, abnormal login detection, compliance policy checks, providing security posture assessment and risk warnings.
trigger Monitoring
An integrated monitoring system that detects data anomalies through monitors and triggers alerts, managed with alert policies and notification functions, assisted by mute and SLO for fine-grained governance.
LLM Agent Monitoring
A specialized monitoring solution for Agent and LLM applications, covering the entire process of models, Skills, and Tool calls through full-link tracing, quality assessment, and cost measurement, ensuring the stability and cost control of AI applications.