Based on Enhancing digestion processes Website performance testing, make improvements. Every website visit Websitee a sequence of requests and pfrformance transfers. Geolocation is another critical factor. Begin with clarity and purpose. Even the most subtle changes within your site or the systems that support it can blow up your efforts to maintain a performant site. Grafana Labs Team · 30 Jan · 4 min read. Scale Your Tests Broaden your testing scope.

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The ultimate guide to web performance

Website performance testing -

When it comes to websites, while frontend performance involves how assets included in the page are rendered, backend performance focuses on how those assets are processed by the application servers, served to users, and downloaded by browsers.

Backend testing is broader in scope than frontend performance testing. API testing can be used to target specific components or integrated components, meaning that application teams have more flexibility and higher chances of finding performance issues earlier.

Backend testing is less resource-intensive than frontend performance testing and is thus more suitable for generating high load. Frontend testing tools are executed on the client side and are limited in scope: They do not provide enough information about backend components for fine-tuning beyond the user interface.

This limitation can lead to false confidence in overall application performance when the amount of traffic against an application increases. While the frontend component of response time remains more or less constant, the backend component of response time increases exponentially with the number of concurrent users:.

Testing only frontend performance ignores a large part of the application, one more susceptible to increased failures and performance bottlenecks at higher levels of load. Backend testing involves messaging at the protocol level rather than interacting with page elements the way a real user would.

It verifies the foundation of an application rather than the highest layer of it that a user ultimately sees. Testing both frontend and backend performance leads to the best overall performance and user experience for your application.

However, if your testing is smaller in scope, you can choose to focus on either frontend or backend with the goal of eventually building a test suite that encompasses both.

Consider the following two methods:. One way you could load test a web app is to load test its components. Testing in this way is more flexible. You can test specific functionalities while skipping others that would chronologically happen before them in a standard user flow.

You can more finely control the type of traffic that is generated. Doing component testing for load may not always require that your script behave like an end user. In fact, it may be necessary to artificially inflate traffic to more quickly reproduce issues or to deflate traffic to reduce the noise in the logs.

You could also do end-to-end testing against a web app. End-to-end testing seeks to replicate real user behavior and track its effects across the entire stack. When doing end-to-end testing, you might:. This type of load testing is broader in scope than component testing, but shallower in terms of depth.

With end-to-end testing, you get a better idea of the full user experience of the application as a whole. However, it can also be more complex to troubleshoot, as you have more components to monitor and more places to look for issues that are found.

The decision of whether to test the frontend, backend, or both will also affect the type of load testing you should carry out and the kind of scripts you should write. Protocol-based load testing verifies the backend performance of an application by simulating the requests underlying user actions.

For websites, this commonly involves HTTP requests that bypass the user interface of your application and are sent directly to a server or application component.

For example, a protocol-based load testing script might request all the resources on a webpage from the application servers, but those resources are merely downloaded. The response times reported by a purely protocol-based script do not include frontend metrics such as the time taken for images to render on a browser.

The load is generated by simulating many requests sent to application servers. While protocol-based load testing may seem to lend itself better to component testing, you can also do end-to-end website testing with protocol-level scripts.

The following is an example of a protocol-based load testing script in k6 that fetches the homepage, along with resources embedded into the page. Recording browser traffic helps you prototype to test websites on the protocol level.

Browser-based load testing verifies the frontend performance of an application by simulating real users using a browser to access your website.

For example, a browser-based load testing script might include instructions to navigate to a page, click on a button, and type out text on a form. Those user actions then trigger underlying requests on the protocol layer, but only user actions are scripted in browser-based testing.

Unlike protocol-based load testing, browser-based load testing scripts generate load by starting multiple instances of browsers and interacting with your application the way real users would.

Testing at the browser level can also be the only option for testing Single-Page Applications where a lot of the application logic is executed by client-side scripts.

Scripting on the browser level usually requires the use of different tools from the ones used to test at the protocol level. However, k6 now has an experimental module called k6 browser that allows the creation of browser-based test scripts alongside protocol-based ones.

The following is an example of a browser-based load testing script in k6 using the browser module on a dummy website. Instead of making an HTTP request, the script views the homepage, then looks for and clicks on a link to the product page.

Script user actions, not requests. Determine what a user might do for a particular task, and script interactions with elements on the browser level.

For example, script what buttons the user clicks on. Identify unique selectors. Once you have identified which page elements a user interacts with, use the Element Inspector for DevTools in your browser to find a unique, static, and simple way to identify each element.

The script needs selectors to find the right element to interact with. Use elements to verify responses. After every action, use locators to search for elements on the page that you would expect to find. This verification helps ensure that the script has reached the expected page.

Take screenshots for every action while debugging. One of the advantages of browser-based testing is the ability to take screenshots.

After every user interaction the script simulates, use page. screenshot to save a visual image of what the script encountered for later troubleshooting. Hybrid load testing is a combination of protocol-based and browser-based load testing.

While you can use two tools or two scripts to execute different types of load testing one protocol-based and one browser-based , having both types of tests executed by the same script and the same load testing tool is ideal.

Aggregating results between different tools can be difficult at best and inconsistent at worst. A best practice in hybrid load testing is to generate most of the load using the protocol-level test, and then to run a smaller number of the browser-level testing scripts.

This approach:. Record your user journey. Using the browser recorder can facilitate initial test script creation by capturing all the embedded resources on webpages. Check out the session recording guide to learn more about how to auto-generate your load test from a user session.

Correlate data. Go through the recorded requests and determine whether you need to extract values from previous responses and use parameters in subsequent requests. This practice ensures your VUs behave more like real users would. Include or exclude static resources. Determine whether you should include or exclude static resources on pages such as images, JavaScript, etc.

Consider including them if you want to measure overall user experience. Consider excluding them if you are using a Content Delivery Network CDN that is under a separate Service Level Agreement SLA.

Exclude third-party requests. Many applications make calls to third-party providers for authentication, social sharing, and marketing analytics. Disable these requests unless you have permission to include them in your tests.

Use concurrent requests. To mimic the way modern browsers download some requests in parallel, use batching. Determine cache and cookie behavior.

k6 automatically resets cookies between iterations, but you can also change this behavior if maintaining cookies would be more realistic. Use dynamic think time and pacing.

Use test data. Consider adding a test data file for the script to iterate through. Model test parameters and load profile after production. In k6, you can use test options to determine the exact shape and profile of your load test script. Select the appropriate executors for the job.

Use tags and groups. Organizing requests by tagging and grouping them helps you consolidate like metrics and makes your test scripts more understandable by others. Use scenarios. When combining protocol-based and browser-based tests, use scenarios to independently control their test parameters and executors.

Modularize scripts. Use modules to separate and organize functions for protocol-level testing and browser-level testing, and then use a test runner script to execute them. This approach means different scripts can be versioned and changed without affecting each other. It is quite possible that the visitor visiting the site for the time is not served with the cached version.

To do so, use the cache buster parameter in the URL before running a test using Google PageSpeed Insight or Pingdom, to bypass caching that otherwise can alter the test. com , add? Chrome DevTools also has a feature to disable cache inside its Network section.

In the real world, visitors enter your website through random pages. They might enter your site from a search engine where any page can come up against a specific search, or a link shared on social media or your blog post from an external link.

In short, visitors can enter your website from any random page which means the entire site needs a website speed test and not just the front-page. The simplest way to check this is to use Google Analytics that can show the number of visitors visiting each indexed page of your website.

As you can see that every page has a certain number of New Users and even for the landing page you can get the numbers for the new versus returning users. To begin with, explore the Google Webmaster Tool, now known as Google Search Console that contains information about the crawled pages.

Here you can find the statistics recorded by Google bots when crawling your website. Crawlers crawl your website very frequently and it is quite possible that some days they encounter a full-page cached version and show a variation in data.

Therefore, looking at the average response time for the last 90 days makes more sense. If the average response time is above ms, there is a lot of room for improvement.

Besides Site Speed, Google Analytics also has the feature to check the Core Web Vitals of your website. This is the data gathered from the experience of real users visiting your website.

Google Analytics is equipped with tons of useful features and it is no longer just an SEO tool. If you are using the latest Google Analytics 4 property then you can either hook it up with your existing on-page tag using the Google Analytics admin area or by adding Global Site Tag gtag.

js file and add the siteSpeedSampleRate like this:. The above graph shows the average page load time the set sample group experienced on a website. It is not limited to that. When you scroll down further you will see the browsers the sample was using and the countries they were browsing the site from.

There are third-party tools available that crawl your site for a website speed test and generate a detailed analysis report. These crawlers crawl your entire site to highlight performance-related issues along with useful tips and suggestions to improve them.

Time to first byte TTFB is the single most important thing when it comes to enhanced user-experience. It determines the overall performance that the user will experience while browsing your website. If the first request is slow, the rest of the experience will also feel sluggish. A user expects things to happen almost instantaneously which is only possible with a fast TTFB.

Make the Energy and hydration strategies Faster. Discover tools and information to Website performance testing performande build high-performance websites. Analyze with PageSpeed Insights Perormance Website performance testing PageSpeed score and testin PageSpeed suggestions to make your web site faster through our online tool. Run Insights Read docs. Speed up with the PageSpeed Modules Run the open source PageSpeed Modules on your Apache or Nginx server to automatically rewrite and optimize resources on your web site. Learn more about the PageSpeed Modules.

Website performance testing -

Ping Website. DNS Analysis. Find IP. Find Location. DNS Time taken for the server to resolve DNS name to IP Address. Connect Time taken to setup the between connection Site24x7 and website. First Byte The time spent waiting for the web server to send data.

Last Byte The time at which the entire content of the file is downloaded. Handshake Time The time taken to complete the handshake. PingPong Time The time taken for the WebSocket to provide a pong response for the ping. Check website availability. Unable to check.

Please try again later! Domain Blacklist check Results:. Blacklists Status Phising Malware Abuse Cracked Site. IP Blacklist check Results:.

Blacklists IP Address. Want to be sure you are not blacklisted? Sign Up for Site24x7. Country Code. Country Name. Server Header details :.

Cleaning Code :. Checking for broken links :. Validating HTML Code for W3C standards :. Identifying links in your webpage :. Performance refinement is a journey, not a destination. This continuous cycle aids in maintaining and improving application robustness. Broaden your testing scope.

Incorporate more simulated users, introduce tests from various global locations, and factor in diverse network conditions. Comprehensive testing aims to envelop all plausible user scenarios. As the application evolves or as external systems morph, new challenges can arise.

We invite you to read this article about de main relevance of Observability. For instance, server infrastructure plays a pivotal role.

A slow website might be the result of insufficient server resources or inadequate configurations. Even the best-optimized site can suffer if hosted on a subpar server.

Geolocation is another critical factor. The distance between the server and the user can introduce latency, affecting loading time. Content Delivery Networks CDNs can help here, distributing site content across various locations, ensuring users access data from the nearest server, and improving load and response times.

Optimizing based on testing results requires a structured approach. First, prioritize the identified performance issues. Start with critical bottlenecks that have a direct impact on the end-user experience.

Common optimization strategies include caching frequently accessed data, optimizing database queries, and compressing website assets. Leveraging tools like Google PageSpeed Insights can provide actionable insights to improve page performance.

Given the range of different browsers and different devices people use, enabling a consistent user experience across all is pivotal. Web performance testing is an evolving field, and as user behaviors and technologies change, our approach to testing and optimization should too. Performance testing needs to be agile too.

Testing early and often is the mantra. With each sprint or development cycle, incorporating performance tests helps pinpoint and rectify potential issues swiftly.

How Does Scrum Help in a Shift Left Strategy? Using automation can be a game-changer. Automated test scripts can be triggered after each code commit, ensuring that performance remains a constant focus.

In fact, automation is essential in Shift-Left Testing. Click here and keep learning. A proactive approach is key: integrate performance feedback in every sprint review. This means continuously updating performance benchmarks to track changes.

Also, fostering collaboration across teams—developers, testers, and operations— positions performance as a shared priority. By weaving performance testing into agile workflows, web apps can confidently meet real-world user expectations. In our dynamic digital age, where every second counts and user patience is fleeting, a seamlessly performing website becomes paramount.

A delay of even a moment can be the line between attracting or losing a potential customer. This article aims to help you step-by-step how to conduct performance testing in Web applications.

After all, in this digital era, a website often serves as the primary impression of your brand, making its performance crucial. Prioritize performance, keeping users central in your testing endeavors. Continually revisit your strategies, stay abreast of emerging trends, and utilize this step-to-step guide as a beacon.

In the fast-paced world of web applications, an unwavering focus on performance will undoubtedly set your platform apart, enabling unparalleled user satisfaction and fostering business growth.

Embrace agility and cost-effectiveness through our Performance Testing Services , hand in hand with our performance test engineers.

We are quality partners! Learn more about our solutions here and understand why we have received such praise. Contact us to discuss how we can help you grow your business. But, when too many of these eager shoppers flood your site…. Still in its early stages of….

Blog How to Do Performance Testing for Web Applications? by Abstracta Team November 20, Performance Testing. Load tests simulate the expected number of concurrent users on your website to gauge if it can handle that demand while maintaining a positive user experience.

Stress Tests : While load tests examine expected demand, stress tests push your website to its limits. They determine how much load a site can handle before it breaks down.

UI Load Testing: As the name suggests, this focuses on the user interface under load conditions. With the increasing emphasis on single-page applications and intricate UI elements, UI load testing aims to keep your website responsive, even under a heavy load. Web Performance Testing : This involves checking the website performance on different devices and different browsers.

We invite you to read this article to know all about the different performance test types. Define Your Testing Goals Begin with clarity and purpose. Identify Performance Criteria Every application has unique demands.

Select the Appropriate Website Performance Testing Tools The toolset you adopt can significantly shape your testing journey. Tools and Techniques for Enhanced Website Performance Speed Test Tools : Tools like Google PageSpeed Insights not only measure page speed but also offer suggestions for improvement.

UI Testing : With UI performance testing tools, you can help your user interface to be not just visually appealing but also fast and responsive. Free Tools : Several performance testing tools are available for free, providing you with insights without any initial investment.

Properly optimizing your server and other resources can boost performance.

Test your Sugar level monitoring speed Pwrformance major browsers, Website performance testing desktop and mobile. The timeline of screenshots filmstrip is a testinf feature. While the page is loading, screenshots are taken Webssite the page updates. You can view exactly how long it takes for your page to fully load with a visual timeline. Uptrends' free Website Speed Test gives you a snapshot of how your desktop or mobile users experience your webpage. You get everything you need to make smart performance-related decisions about your website and its content. Here Wehsite seven of Website performance testing Foods that boost metabolism website performance test tools Website performance testing need to check out. Build completely custom, perrformance websites — or ultra-high-fidelity prototypes — Testingg writing a line of code. Only with Webflow. Imagine if every time you watched a YouTube video, the video stopped and buffered every few seconds. How fast your website loads — and the experience someone has browsing through it — matters more than you think. In fact, conversion rates on a website drop an average of 4.