| Scene |
The core module for data visualization in TrueWatch, containing various display forms, such as Dashboards (comprehensive data monitoring views), Notes (analysis reports combining text and images), and Explorers (custom data query interfaces). It supports flexible construction of business monitoring scenarios. |
| Event Center |
A unified event management platform that aggregates all events triggered by monitors, manually created events, and events synchronized from external systems. |
| Incident |
Serves as a unified entry point for managing and analyzing all anomalous events. It aggregates anomalies from intelligent detection, monitor alerts, and manual creation. Through correlation analysis, it displays the complete context of anomalies and supports team collaboration for tracking event status and recording the handling process, ultimately achieving closed-loop management of anomalous events. |
| Infrastructure |
Provides unified monitoring for foundational architecture components such as hosts, containers, cloud resources, and network devices. It collects performance metrics like CPU, memory, disk, and network in real-time and visualizes component relationships and health status through resource topology maps. |
| Metrics |
Represent time-series data indicating system status, containing metric names, values, tags, and timestamps. TrueWatch supports automatic collection, storage, aggregation analysis, and visual presentation of metrics, covering system metrics, application metrics, and business metrics. |
| Logs |
Text records generated during system operation. TrueWatch 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. |
| APM |
Analyzes application service performance bottlenecks by collecting distributed tracing data. It provides service topology mapping, interface response time statistics, error rate monitoring, and code-level performance diagnostics, supporting multiple languages like Java, Python, and Go. |
| RUM |
Collects real user experience data from terminals on Web, App, and Mini Programs. It monitors page load performance, user interaction behavior, interface call quality, and frontend errors, supporting session replay and user journey analysis. |
| Synthetic Tests |
Simulates user requests through globally distributed monitoring nodes to detect the availability and response performance of services like websites, APIs, and ports. It provides multi-region availability statistics, performance comparison analysis, and failure alerts. |
| Security Monitoring |
Continuously monitors system security status, including security event log analysis, vulnerability scan result monitoring, abnormal login detection, and compliance policy checks. It provides security posture assessment and risk warnings. |
| CI Visualization |
An observability solution for continuous integration processes. It monitors key metrics of CI/CD pipelines such as build status, execution duration, and success rate, visually displays pipeline topology and build trends, and supports root cause analysis for build failures. |
| Monitoring |
The core capability set of the TrueWatch platform, covering multiple dimensions such as metric monitoring, log monitoring, trace monitoring, and user experience monitoring. It provides a comprehensive system observability solution through a unified platform. |
| Workspace Management |
A resource isolation and management unit in a multi-tenant environment. It supports creating independent workspaces and configuring different member permissions, data collection policies, and monitoring rules, achieving project-level environment isolation and management. |
| Cloud Billing |
A cloud resource cost management feature that aggregates billing data from multiple cloud platforms. It provides resource consumption analysis, expense trend monitoring, cost allocation display, and optimization suggestions, supporting budget alerts and cost forecasting. |
| LLM Monitoring |
A specialized monitoring solution for Large Language Model applications. It provides API call performance monitoring, Token usage statistics, response quality assessment, cost analysis, and usage forecasting to ensure the stability and cost control of AI applications. |
| TOBY AI |
The built-in AI Ops assistant in TrueWatch. Based on platform data, it provides intelligent Q&A, anomaly analysis, root cause identification, optimization suggestions, and automatic report generation, lowering the barrier to operations and improving troubleshooting efficiency. |