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Improving Core Web Vitals, A Smashing Magazine Case Study. Improving Core Web Vitals, A Smashing Magazine Case Study. I’m a big fan of Smashing Magazine and am very interested in web performance and the Core Web Vitals. And the “contentful” part of the name shows this metric is intended to ignore (e.g. Barry Pollard.
It’s important to know this because data represents assumptions that reporting tools make when evaluating performance metrics. In practice, metrics may be closer to either one of these, depending on which dependency graph is more correct.” Zeunert has another great post here on Smashing Magazine that discusses each metric in detail.
Thats why the Time to First Byte (TTFB) metric is important: it measures how soon after navigation the browser starts receiving the HTML response. But actually, theres a lot more to optimizing this metric. What Components Make Up The Time To First Byte Metric? TTFB stands for Time to First Byte. But where does it measure from ?
You are now “Head of Performance” at Repairing Magazine, the most serious competitor to Smashing Magazine. Repairing Magazine has a very peculiar business model. Repairing Magazine user interface relies on a modern JavaScript library, React. Let’s focus on a scenario very useful for blog owners: handling paid content.
This is helpful for those on poor or expensive networks, so they don’t have to pay an exorbitant cost just to visit your website. Approximately two-thirds of Indian mobile Chrome users of Smashing Magazine have this setting turned on, for example. For Smashing Magazine, that involved dropping some of our web fonts. Data Saver.
But do you know how Lighthouse calculates performance metrics like First Contentful Paint (FCP), Total Blocking Time (TBT), and Cumulative Layout Shift (CLS)? Still, there’s nothing in there to tell us about the data Lighthouse is using to evaluate metrics. But it comes with caveats.
If you’re reading this before March 2024 and fire up your favorite performance monitoring tool, you’re going to to get a Core Web Vitals report like this one pulled from PageSpeed Insights: ( Large preview ) You’re likely used to seeing most of these metrics. INP will officially replace FID when it becomes an official Core Web Vital metric.
If you haven’t heard, INP is replacing the First Input Delay (FID) metric, something you can read all about here on Smashing Magazine as a guide to prepare for the change. We can use it to report the load time of elements on the page, even going so far as to report on Core Web Vitals metrics in real time.
Google has announced that from 1st May, they will start to consider “Page Experience” as part of Search ranking , as measured by a set of metrics called Core Web Vitals. The Core Web Vitals are a set of three metrics designed to measure the “core” experience of whether a website feels fast or slow to the users, and so gives a good experience.
The gotcha here is that, if your mobile experience isn’t optimized for various devices and network conditions, these customers will never appear in your analytics — just because your website or app will be barely usable on their devices, and so they are unlikely to return. Driving Business Metrics. LT Browser in action.
The Four LCP Subparts LCP subparts split the Largest Contentful Paint metric into four different components: Time to First Byte (TTFB) : How quickly the server responds to the document request. Expand the Largest Contentful Paint metric to see subparts and other details related to your LCP score. Its not (yet?)
In fact, there’s great tooling right under the hood of most browsers in DevTools that can do many things that a tried-and-true service like WebPageTest offers, complete with recommendations for improving specific metrics. Certain tools are designed for certain metrics with certain assumptions that produce certain results.
While mobile devices have come a long way in terms of network and CPU speed, many of them are still significantly underpowered when compared to desktops, especially in countries where mobile connectivity is still poor. Better tooling and metrics standardization. In other words, the field lacked standardization.
There are three web vitals metrics Google uses to measure different aspects of website performance: Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), Interaction to Next Paint (INP). Large preview ) Largest Contentful Paint (LCP) The Largest Contentful Paint metric is the closest thing to a traditional load time measurement.
Total Blocking Time One thing I know would be more helpful than a set of Core Web Vitals scores from Lighthouse is knowing the time it takes to go from the First Contentful Paint (FCP) to the Time to Interactive (TTI), a metric known as the Total Blocking Time (TBT). You can see that Lighthouse does indeed provide that metric.
Webpage performance test report for the Smashing Magazine website. Images are crucial elements for performance and UX, and data extracted from Core Web Vitals metrics such as Largest Contentful Paint , which attempts to identify the most important piece of the above-the-fold content on a given page, proves this. Large preview ).
The key metric for measuring the sustainability of a digital product is its energy usage. This includes the work done by the server, the client and the intermediary communications networks that transmit data between the two. An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part.
This header can be set on the response of any network resource, such as XHR, fetch, images, HTML, stylesheets, etc. The header is constructed via a name with an optional description and/or metric value. These subtypes are currently the only subtypes related to network requests and thus exposing the Server-Timing information.
Waterfaller: A Tool Focusing On Network Waterfalls. Contrary to Lighthouse or WebPage Test, Waterfaller focuses on one thing alone — issues in the network waterfall. Waterfaller focuses on issues in the network waterfall and provides recommendations for improvement. I discovered Waterfaller just recently.
It also, however, takes a full network round trip to complete before anything else can be done on a connection. Finally, QUIC also uses so-called flow-control and congestion-control mechanisms that prevent a sender from overloading the network or the receiver, but that also make TCP slower than what you could do with raw UDP.
There are three Core Web Vitals metrics that Google will use to help rank sites in their upcoming search algorithm update. Chrome is set up to track these metrics across all logged-in Chrome users, and sends anonymous statistics summarizing a customer’s experience on a site back to Google for evaluation. Large preview ).
Meet “ Web Vitals ”, but in particular, meet LCP (Largest Contentful Paint): “Largest Contentful Paint (LCP) is an important, user-centric metric for measuring perceived load speed because it marks the point in the page load timeline when the page’s main content has likely loaded — a fast LCP helps reassure the user that the page is useful.”.
Large preview ) While browsers are generally pretty fast, these steps still take time to load, typically in seconds, and even longer on slower, high-latency network connections. So noticeable, in fact, that Core Web Vitals has a metric all about it called Largest Contentful Paint (LCP). Let’s use that instead of a standard JPG.
When talking to an executive, she explains, you have to bear in mind that they may not understand the language of performance metrics. You need to find your 'Rosetta Stone' to translate the language of performance metrics for others in your organization. I used my expertise to educate people about metrics,” says Gringaus.
Studying your network waterfall chart in developer tools will show this delay up under the category of “Waiting (TTFB)”. If we look at the request in the Network section of Developer Tools, we can see that the timings have been added to the chart. Each metric can specify three possible properties. Implementing Server Timing.
In this case, we are not going to be talking about infrastructure services, such as a cloud computing platform like Microsoft Azure or a content distribution network like Akamai. And JavaScript can certainly make requests for additional network resources. Sometimes, the visitor’s browser itself can be the origin of network activity.
Performance is one of the core aspects to ensure our users are having a delightful user experience irrespective of their devices or network connection. We found out user-centric performance metrics to be the perfect fit for this purpose. For this case study, we are mainly going to focus on CLS.
Google’s Core Web Vitals is a set of performance metrics that site owners can use to evaluate performance and diagnose performance issues. These metrics provide a different perspective on user experience: Largest Contentful Paint (LCP) Measures the time it takes for the main content on a webpage to load. One of the key Next.js
Largest Contentful Paint (or LCP) is one of three metrics of the Core Web Vitals. These metrics are used by Google to evaluate the quality of user experience. The images used in the article’s Codepen demonstrations will be integrated with TwicPics to save time in their creation and speed up the optimization of the LCP metric.
Next, we’ll look at how to set up servers and clients (that’s the hard part unless you’re using a content delivery network (CDN)). Using just a few (but still more than one), however, could nicely balance congestion growth with better performance, especially on high-speed networks. Servers and Networks. Network Configuration.
A disk cache is faster than having to fetch those resources from the network (though not always, oddly enough !), Manual testing may also show this, especially if you can slow down your network, but that is a little subjective, so can be prone to false positives and false negatives. The HTTP Cache is a disk cache.
Performance needs to be built in starting at the code level, and user-centric metrics like time to interactive (TTI), total blocking time (TBT), and first input delay (FID) help you gauge how fast a website is. This is why performance is crucial when building websites. The JavaScript Tax.
Failing that, we are usually able to connect to home or public WiFi networks that are on fast broadband connections and have effectively unlimited data. The speed of mobile networks, too, varies considerably between countries. As for mobile network connection type, 84.7% For reference, the metric is $1.19 Mbps upload.
This problem is more apparent on unreliable and slow networks and lower-end devices. Users can browse the Internet using slow and unreliable networks, so minification, optimization, and code-splitting of JavaScript files ensure that the user downloads the smallest file possible. Large preview ). Large preview ).
The Four LCP Subparts LCP subparts split the Largest Contentful Paint metric into four different components: Time to First Byte (TTFB) : How quickly the server responds to the document request. Expand the Largest Contentful Paint metric to see subparts and other details related to your LCP score. Its not (yet?)
This avoids a layout shift as the image is downloaded — something Chrome has recently started measuring in the new Cumulative Layout Shift metric. As you can see, the impact is considerable — especially on lower-end devices and slow network speed, where images are coming in separately. Large preview ).
Improved performance metrics have shifted the discussion to more experience-based optimizations such as optimizing for the critical path. My first few sites were simple (and ugly) things I put together using Notepad and an FTP client while teaching myself HTML using a little magazine I bought. We have the shift to ECMAScript 6.
A more recent hot topic in site performance and related metrics is Cumulative Layout Shift (CLS). In the example video from my own site that has this problem, I’ve used the Network Conditions panel in Edge to load the site with “Network throttling” set to “Slow 3G.” Cumulative Layout Shift.
FCP is a metric that measures the time between the point when a page starts loading to when the first bytes of content are rendered. These components take advantage of the plugin’s features and use the <picture> HTML element to ensure the most appropriate image is served to each user based on their device and network conditions.
dev server running at: > Local: [link] > Network: use `--host` to expose ready in Xms. As long as the user has something to view before your JavaScript is done parsing, you’ll get a decent score on those lighthouse metrics. So if we renamed index.html to about.html , we would visit [link] (yes, you’ll need a trailing slash!).
Moreover, Garten-und-Freizeit, a German e-commerce store that sells furniture, saw an amazing improvement in their metrics after getting a PWA. The method with data pulled from the network prior to cache is considered a good option. The Rooted Objects brand saw 162% conversion growth, what a tangible boost! Large preview ).
Many of them are covered in CSS-Tricks’ helpful overview , and Smashing Magazine offers a great PDF checklist. Several metrics centre on the time after which users can interact with the page. The waterfall of network activity helped a lot here, but so did thinking of user flows. First Things First: Things Loaded On All Pages.
Looking briefly at the other two Core Web Vitals, Largest Contentful Paint (LCP) does exactly as its name suggests and is more of a twist on previous loading metrics that measures how quickly the page loads. That’s not to say solving issues with these two metrics are easy, but they are reasonably well-understood problems.
It can be measured based on real data from users visiting your sites ( field metric ) or in a lab environment ( lab metric ). In fact, several user-centric metrics are used to quantify web vitals. While most of the tools covered below only rely on field metrics, others use a mix of both field and lab metrics.
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