Understanding App Performance Reports

Overview

App performance reports provide critical insights into how an application behaves under real-world conditions. These reports analyze key metrics such as CPU usage, Memory consumption, Network requests, UI responsiveness, and error logs, etc to help developers identify bottlenecks, crashes, and inefficiencies. By understanding these reports, teams can optimize app stability, enhance user experience, and ensure seamless performance across different devices and environments.

Prerequisites

• Valid Pcloudy User

• Access to App Performance Reports

The App Performance Report is divided into different sections:

1. Summary

2. App Insights

3. UI Insights

4. Network

5. Logs

Summary

The summary of the report provides an overview of the app performance issues in the app. On the left, you can see a quick snapshot of the issues in the form of a pie chart, which provides vital information like the total number of issues, the type of issues, and a quick summary of the issues. Hovering and clicking on any of the issues will populate the selected issues and give you a summary of the issues below the chart.

On the right, you have information about the device that the test was performed on and the test session information. Below these, you have a quick overview of the different sections, like App Insights, which provides information about the app, its size, the CPU Usage, the App Launch Time, Memory Usage, etc. The UI insights provide key metrics like Average FPS and FPS Stability to gauge the performance of the app visuals and interfaces. The Network sections provides a quick overview of the number API requests, data usage, response time, etc.

App Insights

The App Insights section provides a comprehensive performance analysis of an application, offering in-depth visibility into various system metrics that impact its efficiency and user experience. It captures crucial data points related to CPU utilization, memory consumption, network activity, battery usage, and UI responsiveness, helping developers and testers identify potential performance bottlenecks, inefficiencies, or anomalies. By monitoring these metrics, teams can diagnose issues such as excessive resource usage, rendering delays, or network inefficiencies, ultimately improving app stability and optimizing overall performance.

1. CPU

2. Frame (Rendering Performance)

3. Memory (RAM and GPU)

4. UI (User Interface)

5. Network

6. Battery

UI Insights

The UI Insights section of the report captures the Page Transition Data which provides the user with information about how long it took to transition from one page to another. This helps the QA teams know exactly what is causing the delay in the slow loading of various screens in the mobile and web apps.

Network

The Network section of the app performance report highlights key issues related to API and service requests. This section provides detailed insights into failed network calls, their status, request size, and response time. Understanding these network failures is crucial for optimizing app performance and reliability. Identifying backend failures early allows developers to diagnose and resolve server-side issues before they impact users. Analyzing failed requests helps prioritize fixing unstable API endpoints, ensuring a smoother experience. Additionally, insights from error patterns can improve error handling by implementing better retry mechanisms and user-friendly. Finally, monitoring slow or failing endpoints helps in optimizing response times, enhancing overall app efficiency and performance. messages.

Status Distribution (Pie Charts)

A network status distribution code typically refers to the classification and analysis of HTTP status codes (1xx, 2xx, 3xx, 4xx, 5xx) based on their frequency or occurrence in a network or application. This distribution helps monitor application health, diagnose issues, and optimize network performance by understanding the nature of responses received.

What Do Different Network Codes Mean?

Logs

The Logs section provides insights into different types of issues encountered during the app’s execution. This section helps developers track errors, crashes, and other critical system events, making it easier to diagnose and resolve performance problems. Analyzing logs provides valuable insights into recurring issues that affect app stability and user experience. Identifying crash patterns helps developers debug and fix critical failures to prevent app crashes. The high number of network failures highlights the need for improved API reliability, better error handling, and potential optimizations for data transmission. By proactively monitoring logs, teams can address underlying performance issues, optimize resource usage, and ensure a smoother, more reliable experience for users.