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Tencent Cloud Observability Platform

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Tencent Cloud Product Monitoring
Application Performance Management
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Tencent Cloud Product Monitoring
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Application Performance Management
Product Introduction
Access Guide
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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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Cloud Automated Testing
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Prometheus Monitoring
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Terraform
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Grafana
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Guide on Grafana Common Features
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Alarm Management
Console Operation Guide
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General
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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
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PTS Use Limits
Cloud Monitor Service Level Agreement
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Alarm APIs
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TencentCloud Managed Service for Prometheus APIs
Monitoring APIs
Data Types
Error Codes
Glossary

Overview

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Last updated: 2025-03-20 19:34:06
Application Performance Management (APM) offers performance analysis and automatic troubleshooting capabilities for distributed application architectures. With APM, you can collect data and monitor your different applications in real time, helping you guarantee the stability and availability of your complex business system. In this way, you can quickly locate performance problems, shorten the mean time to repair (MTTR), stay up to date with the application performance, and improve the user experience.
Application Performance Monitoring (APM) supports various mainstream programming languages and open-source frameworks, providing you with a one-stop APM solution.

Advantages

Ready to Use

Application Performance Monitoring (APM) provides a complete server implementation of APM, including data collection, stream processing, data storage, visualization, and alarm management. Users can use non-intrusive probes to quickly access applications without touching business logic and code logic, obtaining out-of-the-box application observability.

Multilingual Support

Application Performance Monitoring (APM) supports mainstream development languages such as Java, Go, Python, Node, and PHP.

Embrace the Open Source Ecosystem

Application Performance Monitoring (APM) fully supports the industry-standard OpenTelemetry. It is also compatible with tracing protocols such as Skywalking and Jaeger, and supports smooth migration from solutions such as Skywalking and Jaeger. By simply modifying the reporting configuration, you can smoothly migrate the tracing system from open-source products to APM, eliminating ops headaches and reducing development costs.

Comprehensive Features

Application Performance Monitoring (APM) offers important capabilities such as application topology, multidimensional call chain analysis, API analysis, SQL analysis, multidimensional drill-down analysis, advanced diagnostics, alarm management, and customize dashboards. It comprehensively covers various requirements in the Application Performance Management Field, helping you quickly locate online performance issues, perform targeted performance optimization on the application, and underwrite the stable operation of the business system.

Stability Guarantee

Application Performance Monitoring (APM), based on Tencent Cloud's experience in the microservices field and combined with Tencent Cloud's powerful infrastructure and cloud product ecosystem, offers you reliable observability. Without the need to consider complex stability issues such as distributed scaling, traffic control, and capacity planning, you can obtain a stable and smooth user experience.

Low Costs

Application Performance Monitoring (APM) is based on cloud storage, link compression technology, and sampling technology. Its resource cost is more than 30% lower than that of self-built open-source solutions. It supports both pay-as-you-go and prepaid payment modes. You can flexibly select the payment mode based on your business features.

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