Performance Testing Metrics - Client side and Server Side Metrics

Performance Testing Metrics

Client-side Metrics in Performance Testing

Client-side metrics in performance testing focus on measuring various aspects of the client environment and user experience during the execution of a performance test. These metrics help assess the performance and responsiveness of the client-side components of an application.

Common Client-side Metrics:

• Page Load Time: The time taken for web pages to load in the client's browser, including all page resources such as images, scripts, and stylesheets.
• Render Time: The time taken by the browser to render the HTML content and display it on the screen.
• Network Latency: The delay experienced by data packets as they travel between the client and the server over the network.
• Client-side CPU and Memory Usage: The utilization of CPU and memory resources on the client device during the test.
• Client-side Errors: The number of errors encountered by the client, such as JavaScript errors, rendering issues, or resource loading failures.
• User Interactions: Metrics related to user interactions with the application, such as click events, form submissions, and navigation paths.
• Client-side Cache Hits: The percentage of requests served from the client-side cache instead of fetching resources from the server.
• Client-side API Calls: The number of API calls made by client-side scripts to fetch data or perform actions asynchronously.
• Client-side Performance Events: Monitoring performance events triggered by the browser, such as DOMContentLoaded, load, and scroll events.
• Client-side Resource Utilization: Tracking the usage of client-side resources, including local storage, session storage, and cookies.

Server-side Metrics in Performance Testing

Server-side metrics in performance testing focus on measuring various aspects of the server's performance and resource utilization during the execution of a performance test. These metrics help assess the server's ability to handle different loads and identify potential bottlenecks that may impact application performance.

Common Server-side Metrics:

• Processor Usage: The percentage of CPU utilization by the server during the test.
• Memory Utilization: The amount of physical memory consumed by the server's processes.
• Disk I/O: The rate of read and write operations performed by the server's disk subsystem.
• Network Throughput: The rate at which data is transferred over the network interface.
• Server Response Time: The time taken by the server to process and respond to client requests.
• Database Performance: Metrics related to database operations, including query execution time, transaction throughput, and database lock contention.
• Server Errors: The number of errors encountered by the server during the test, such as HTTP errors, database connection errors, or server timeouts.
• Connection Pooling: The efficiency of connection pooling mechanisms in managing database connections and minimizing connection overhead.
• Server-side Caching: The effectiveness of caching mechanisms in reducing the server's workload by serving cached content instead of generating dynamic responses.
• Thread Pool Utilization: The utilization of server-side thread pools for handling concurrent requests.
• Server Log Analysis: Analysis of server logs to identify performance issues, error patterns, and abnormal behavior.
• Service Availability: The percentage of time that server services are available and responsive to client requests.