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Tencent Cloud Observability Platform

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Release Notes
Product Introduction
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Purchase Guide
Tencent Cloud Product Monitoring
Application Performance Management
Mobile App Performance Monitoring
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PTS
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Tencent Cloud Product Monitoring
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Prometheus Getting Started
Grafana
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Tencent Cloud Service Metrics
Operation Guide
CVM Agents
Cloud Product Monitoring Integration with Grafana
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Practical Tutorial
Application Performance Management
Product Introduction
Access Guide
Operation Guide
Practical Tutorial
Parameter Information
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Mobile App Performance Monitoring
Overview
Operation Guide
Access Guide
Practical Tutorial
Tencent Cloud Real User Monitoring
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Operation Guide
Connection Guide
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Cloud Automated Testing
Product Introduction
Operation Guide
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Performance Testing Service
Overview
Operation Guide
Practice Tutorial
JavaScript API List
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Prometheus Monitoring
Product Introduction
Access Guide
Operation Guide
Practical Tutorial
Terraform
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Grafana
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Guide on Grafana Common Features
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Dashboard
Overview
Operation Guide
Alarm Management
Console Operation Guide
Troubleshooting
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EventBridge
Product Introduction
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Practical Tutorial
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General
Alarm Service
Concepts
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CVM Agents
Dynamic Alarm Threshold
CM Connection to Grafana
Documentation Guide
Related Agreements
Application Performance Management Service Level Agreement
APM Privacy Policy
APM Data Processing And Security Agreement
RUM Service Level Agreement
Mobile Performance Monitoring Service Level Agreement
Cloud Automated Testing Service Level Agreement
Prometheus Service Level Agreement
TCMG Service Level Agreements
PTS Service Level Agreement
PTS Use Limits
Cloud Monitor Service Level Agreement
API Documentation
History
Introduction
API Category
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Alarm APIs
Legacy Alert APIs
Notification Template APIs
TMP APIs
Grafana Service APIs
Event Center APIs
TencentCloud Managed Service for Prometheus APIs
Monitoring APIs
Data Types
Error Codes
Glossary

Use Cases

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마지막 업데이트 시간: 2024-11-01 19:27:14

Improved User Experience

RUM collects users' usage information in real time through the trends of changes in key performance metrics, including page error, page loading time, and API success rate, so that you can improve the page browsing experience based on such trend information and user health scores.

Troubleshooting

RUM actively collects the information of errors, such as JavaScript code errors, API information errors, resource loading exceptions, and Promise exceptions. It also monitors slow page details, such as firstScreenTime and request response. Then, it associates and analyzes exceptional metrics in multiple dimensions through the page loading waterfall plot, Core Web Vitals (views of three key network performance metrics designed by Google), and regional view to locate exception causes.

Performance Optimization

RUM supports multidimensional views by region, ISP, network, and device/machine type. You can compare and analyze frontend performance metrics based on user characteristics and views to optimize the web application performance in a more targeted manner.

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