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Community Blog Alibaba Cloud Observability Episode 5 | How to Use ARMS to Identify Code-Level Performance Bottlenecks

Alibaba Cloud Observability Episode 5 | How to Use ARMS to Identify Code-Level Performance Bottlenecks

The fifth episode of Alibaba Cloud Observability Series introduces how to use ARMS to identify code-level performance bottlenecks.

The widespread adoption of microservices and containerization by more and more enterprises leads to an increase in system architecture complexity. To address this complexity, enterprises need to achieve real-time performance analysis and self-diagnosis for microservices applications. This requires quickly pinpointing faulty and slow interfaces, reproducing invocation parameters, and discovering system bottlenecks, which can significantly improve online problem diagnosis efficiency. Let's delve into several typical application monitoring scenarios.

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Related Products

Alibaba Cloud Observability product line encompasses services such as Simple Log Service (SLS), CloudMonitor (CMS), and Application Real-Time Monitoring Service (ARMS), providing users with a one-stop solution for comprehensive observability.

ARMS is dedicated to application performance management and user experience, ensuring the availability of application operations.

Simple Log Service (SLS) efficiently collects, stores, and analyzes various log data, facilitating fault detection and business insights.

As the core of infrastructure monitoring, CloudMonitor(CMS) not only covers metrics of various cloud products but also closely interacts with the aforementioned services. It achieves full-stack observability from infrastructure to application layers through unified dashboards and alerts, enabling enterprises to real-time grasp system conditions, expedite fault responses, optimize operation and maintenance efficiency, and safeguard the stable operation of digital businesses.


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