Tencent Cloud Observability Platform
- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Application Performance Management
- Pay-as-you-go (Postpaid)
- Packages (Prepaid)
- Mobile App Performance Monitoring
- Real User Monitoring
- Cloud Automated Testing
- Prometheus Monitoring
- Pay-as-You-Go (Postpaid)
- Quick Start
- EventBridge
- Cloud Product Monitoring
- Tencent Cloud Service Metrics
- Microservice
- Networking
- TencentDB
- TencentDB for Redis Monitoring Metrics
- CPM
- CDN And EdgeOne
- Operation Guide
- Cloud Monitoring Overview
- Monitoring View
- CM Connection to Grafana
- Troubleshooting
- Application Performance Management
- Access Guide
- Accessing Go Application
- Accessing Java Application
- Accessing Python Application
- Accessing Node.js Application
- Accessing PHP Application
- Accessing .NET Application
- Operation Guide
- Resource Management
- Application Monitoring
- Application Diagnosis
- Database Call Monitoring
- Access Management
- Alarm Service
- System Configuration
- Associate Logs
- Inject TraceID Into Logs
- Practical Tutorial
- Parameter Information
- APM Data Protocol Standard
- Mobile App Performance Monitoring
- Access Guide
- Android Use Cases
- iOS Use Cases
- Tencent Cloud Real User Monitoring
- Operation Guide
- Application Management
- Access Management
- Resource Tag
- Connection Guide
- Web Use Cases
- Cloud Automated Testing
- Operation Guide
- Creating Test Task
- Testing Statistics
- Access Management
- References
- Testing Nodes
- FAQs
- Performance Testing Service
- Operation Guide
- Performance Testing in Script Mode
- Script Examples
- HTTP-based Performance Testing
- Performance Testing in JMeter Mode
- Project Management
- Scenario Management
- Advanced Configuration
- Export Stress Test Indicators
- Traffic Recording
- Performance Testing Report
- Access Control
- Alarm Management
- Tag Management
- Practice Tutorial
- JavaScript API List
- pts/http
- Response
- pts/dataset
- pts/grpc
- pts/jsonpath
- pts/redis
- pts/url
- URL
- pts/util
- pts/ws
- pts/socketio
- socketio
- pts/socket
- Prometheus Monitoring
- Product Introduction
- Access Guide
- EMR Integration
- Java Application Integration
- Exporter Integration
- Operation Guide
- Instance
- Recording Rule
- Alerting Rule
- Access Control
- TKE Metrics
- Practical Tutorial
- Terraform
- Grafana
- Operation Guide
- Instance
- Tencent Cloud Service Integration
- Plugin Management
- Dashboard
- Operation Guide
- Configuring Dashboard
- Monitoring Charts
- Creating Chart
- Use Cases of Different Chart Types
- Alarm Management
- Console Operation Guide
- Alarm Policy
- Configuring alert trigger conditions
- Alarm Notification
- Alarm Callback
- Alarm Receiving Channels and SMS Quota
- Dynamic Threshold Alarm
- Silencing Alarm
- EventBridge
- Product Introduction
- Practical Tutorial
- Migrating Event Alarm
- FAQs
- Related Agreements
- API Documentation
- Making API Requests
- Monitoring Data Query APIs
- Alarm APIs
- Notification Template APIs
- Legacy Alert APIs
- Prometheus Service APIs
- Grafana Service APIs
- Event Center APIs
- TencentCloud Managed Service for Prometheus APIs
- Monitoring APIs
Overview
Last updated: 2024-05-14 12:36:06
Overview
Mobile App Performance Monitoring is a comprehensive tool for positioning, detecting app performance, and user experience, automatically analyzing suspicious performance defects in multiple dimensions. It helps you accurately measure the app performance and discover various issues with low cost and high efficiency.
App Monitoring Feature Description
Feature Name | Description |
Crash | By aggregating key characteristics of individual crash cases, it facilitates the locating and analysis of the root cause. |
Startup | Supports startup metric analysis such as startup duration and slow startup percentage, allowing you to locate and analyze the root cause of slow startups through the slow startup issue list. |
Latency | Metrics like smoothness help you analyze the performance of app pages. |
ANR | Multi-dimensional restoration of the real experience of online users. It collects ANR issues encountered during the real use of the app and the thread stack information upon the occurrence of the issue to extract key features for clustering. |
Network | Supports network problem analysis based on request duration, slow request proportion, network error rate, and other metrics. |
WebView | Supports WebView metric analysis based on page load time, slow loading proportion, and JS error rate, and dives into WebView and JSError issues through the issue list. |
Data Storage Description
Individual case data (slow startup and requests): stored for 60 days
15-minute metric data (metric analysis interface): stored for 30 days
1-hour metric data (metric analysis interface): stored for 30 days
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