Client-Side Metrics and Performance Testing Metrics Knowhow For You

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JoshuaWright
In the realm of web and app development, all developers know that the patience of the average user has become very less. In fact, one study discovered that 28% of app uninstallations were due to a very slow loading speed. This kind of unimpressive performance is caused due to a bottleneck situation. A bottleneck can lead to an overloaded and slow system that is unable to carry out its responsibilities. If you know about client-side performance testing metrics, you can apply these insights to improve your system. Here is an in-depth guide to these bottlenecks and how performance testing helps.

What Exactly Is a Bottleneck?

Any system resource that your system is not getting access to while running, such as hardware, memory, bandwidth, etc. can lead your system to not operate at maximum capacity. This is what creates a bottleneck situation - where the processing speed of your application is affected. If you know about client-side performance testing metrics such as TTFB or complete render time, then you can optimize the application and remove these bottlenecks. Bottleneck problems can actually occur at each and every stage of the system’s architecture. 40% of these problems occur at the application’s main server site.

Two Factors That Affect Testing - Throughput and Concurrency

While assessing the overall efficiency of your system, you have to take into account two factors. These are throughput and concurrency, which are two standard metrics that you can use while you’re analyzing the overall performance and speed of your web app.

1. Testing for Throughput: This is an important term that is used to measure the amount of data flow that a system can support. This metric is usually measured in hits per second or MBs of data in a second. While you test for throughput, you have to make sure that the system is able to maximize the amount of work done by the minimum number of users. This kind of testing is used to nudge the system to its maximum capacity. It’s a form of load testing that reveals any and all issues that your system may be having.

2. Testing for Concurrency: In the world of performance testing, concurrency is a term that is used to describe the number of independent users who are connected to an app all at the same time. Concurrency may be difficult to isolate in real life, but it can be done with the help of the best client-side performance monitoring tools. At the overall system level, concurrency as a factor is limited in its scope by socket connections and sessions. Just like a throughout test, it is very important to take a look at all the key pages involved in the application.

Open Source Tools That Can Be Used For Performance Testing

Here are the best client-side performance monitoring tools that you can use to do away with any and all bottlenecks involved in your web performance. In the world of app and web testing, every second can be very very important.

-Google PageSpeed Insights: Google PageSpeed Insights is an open-source platform that you can use to measure all the client-side metrics for your performance testing needs. It’ll also be able to provide you with suggestions you can use for your page.
-Google Lighthouse: This is an open-source tool that you can use to optimize your web pages and applications so that they can load faster. This is a very useful tool that can be used for front end development in general.

This has been an in-depth look at how performance testing and client-side metrics can help you with your app development.

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