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Merhaba Sevgili Floodlar.com Kullanıcısı, Web sitemizde geçirdiğiniz zaman ve bu büyüleyici flood evrenine katılımınız için teşekkür ederiz. Floodların geniş dünyasıyla dolu deneyiminizi daha fazla keşfetmek için, web sitemizi sınırsız olarak kullanabilmeniz adına giriş yapmanız gerekmektedir.

Oturum aç

Merhaba Floodlar.com Kullanıcısı, İlk üç sayfayı tamamladınız, tebrikler! Ancak, floodların devamını görmek ve daha fazla interaktif deneyim yaşamak için giriş yapmanız gerekiyor. Hesabınız yoksa, hızlıca oluşturabilirsiniz. Sınırsız floodlar ve etkileşimler sizleri bekliyor. Giriş yapmayı unutmayın!

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Fil Necati Masonlar Locası Subreddit Adı Nedir? Cevap: ( N31 )

Üzgünüz, flood girme izniniz yok, Flood girmek için giriş yapmalısınız.

Lütfen bu Floodun neden bildirilmesi gerektiğini düşündüğünüzü kısaca açıklayın.

Lütfen bu cevabın neden bildirilmesi gerektiğini kısaca açıklayın.

Lütfen bu kullanıcının neden rapor edilmesi gerektiğini düşündüğünüzü kısaca açıklayın.

Mobil Uygulamada Açın

Güncel Floodlar En sonuncu Nesne

Optimize Largest Contentful Paint

Optimize Largest Contentful Paint

Largest Contentful Paint (LCP) is one of the three Core Web Vitals metrics, and it represents how quickly the main content of a web page is loaded. Specifically, LCP measures the time from when the user initiates loading the page until the largest image or text block is rendered within the viewport.

To provide a good user experience, sites should strive to have an LCP of 2.5 seconds or less for at least 75% of page visits.

There are a number of factors that can affect how quickly the browser is able to load and render a web page, and delays across any of them can have a significant impact on LCP.

It’s rare that a quick fix to a single part of a page will result in a meaningful improvement to LCP. To improve LCP you have to look at the entire loading process and make sure every step along the way is optimized.

Understanding your LCP metric #

Before optimizing LCP, developers should seek to understand if they even have an LCP issue, and the extent of any such issue.

LCP can be measured in a number of tools and not all of these measure LCP in the same way. To understand LCP of real users, we should look at what real users are experiencing, rather than what a lab-based tool like Lighthouse or local testing shows. These lab-based tools can give a wealth of information to explain and help you improve LCP, but be aware that lab tests alone may not be entirely representative of what your actual users experience.

LCP data based on real users can be surfaced from Real User Monitoring (RUM) tools installed on a site, or via the Chrome User Experience Report (CrUX) which collect anonymous data from real Chrome users for millions of websites.

Using PageSpeed Insights CrUX LCP data #

PageSpeed Insights provides access to CrUX data in the top section labeled Discover what your real users are experiencing. More detailed lab-based data is available in the bottom section labeled Diagnose performance issues. If CrUX data is available for your website, always concentrate on the real user data first.

PageSpeed Insights shows up to four different CrUX data:

  • Mobile data for This URL
  • Desktop data for This URL
  • Mobile data for the whole Origin
  • Desktop data for the whole Origin

These can be toggled in the controls at the top, and top right-hand side of this section. Be aware that where a URL does not have sufficient data to be shown at the URL level—but does have data for the origin—PageSpeed Insights will automatically show this.

The LCP for the whole origin may be very different to an individual page’s LCP depending on how the LCP is loaded on that page compared to other pages on that origin. It can also be affected by how visitors navigate to these pages. Home pages tend to be visted by new users and so may often be loaded “cold”, without any cached content and so are often the slowest pages on a website.

Looking at the four different categories of CrUX data can help you understand whether an LCP issue is specific to this page, or a more general site-wide issue. Similarly, it can show which device types have LCP issues.

Using PageSpeed Insights CrUX supplementary metrics #

Those looking to optimize LCP should also use the First Contentful Paint (FCP) and Time to First Byte (TTFB) timings, which are good diagnostic metrics that can provide valuable insights into LCP.

TTFB is the time when the visitor starting to navigate to a page (for example, clicking on a link), until the first bytes of the HTML document are received. A high TTFB can make achieving a 2.5 second LCP challenging, or even impossible.

A high TTFB can be due to mutiple server redirects, visitors located far away from the nearest site server, visitors on poor network conditions, or an inability to use cached content due to query parameters.

Once a page starts rendering, there may be an initial paint (for example, the background color), followed by some content appearing (for example, the site header). The appearance of the initial content is measured by FCP. The delta between FCP and other metrics can be very telling.

A large delta between TTFB and FCP could indicate that the browser needs to download a lot of render-blocking assets. It can also be a sign it must complete a lot of work to render any meaningful content—a classic sign of a site that relies heavily on client-side rendering.

A large delta between FCP and LCP indicates that the LCP resource is either not immediately available for the browser to prioritize (for example, text or images that are managed by JavaScript rather than being available in the initial HTML), or that the browser is completing other work before it can display the LCP content.

Using PageSpeed Insights Lighthouse data #

The Lighthouse section of PageSpeed Insights offers some guidance to improving LCP, but first you should check if the LCP given is broadly inline with real user data provided by CrUX.

If Lighthouse is showing no LCP issue, but the CrUX data is, then any Lighthouse suggestions may not be relevant. The opposite is also true—if Lighthouse is showing a really poor LCP time, but CrUX data is showing your users mostly have a good LCP, then you may wish to consider the priority of optimizing LCP further, or if time is better spent on other performance improvements. Also be sure to check that the CrUX data is for this page and not for the full origin as detailed above.

If both sources of data are showing an LCP that should be improved than the Lighthouse section can provide valuable guidance on ways to improve LCP. Use the LCP filter to only show audits relevant to LCP:

As well as the Opportunities to improve, there is Diagnostic information that may provide more information to help diagnose the issue. The Largest Contentful Paint element diagnostic shows a useful breakdown of the various timings that made up the LCP:

We will delve into these sub-parts next.

LCP breakdown #

Optimizing for LCP can be a more complex task when PageSpeed Insights does not give you the answer on how to improve this metric. With complex tasks it’s generally better to break them down into smaller, more manageable tasks and address each separately. This guide will present a methodology for how to break down LCP into its most critical sub-parts and then present specific recommendations and best practices for how to optimize each part.

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