Jump to content

Google PageSpeed Tools

From Wikipedia, the free encyclopedia

This is the current revision of this page, as edited by SuperSamiy (talk | contribs) at 00:33, 24 August 2024 (Sentences were rephrased). The present address (URL) is a permanent link to this version.

(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)

Google PageSpeed is a family of tools by Google, Inc.[1] designed to help optimize website performance.[2] It was introduced at a Developer Conference in 2010.[3][4] There are four main components of PageSpeed family tools:

PageSpeed Modules

[edit]

The PageSpeed Modules are the open-source Apache HTTP Server or Nginx web server modules, which automatically apply chosen filters to pages, associated assets (like stylesheets, JavaScript, and HTML files), as well as to images and website cache requirements. These modules do not require modifications to existing content or workflow,[8] meaning that all internal optimizations and changes to files are made on the server side, and present modified files directly to the user. Each of the 40+ filters corresponds to one of Google's web performance best practices rules.

Since the PageSpeed module is an open-source library, it is frequently updated by numerous developers worldwide. It can be deployed by any individual site, hosting providers, or CDNs.[9]

The installation can be done in two ways: from packages or built from source on the following supported platforms:

Ports

[edit]

Other servers that offer a PageSpeed optimization module based on Google's Page Speed SDK:

Filters

[edit]

PageSpeed module filters are settings, based on which a web page optimization rule is applied. They can be divided into five main categories:

Speed impact

[edit]

The PageSpeed Module showed the most significant impact on decreasing web page loading times, payload size, and number of requests compared to other industry options. According to several researchers, 'mod_pagespeed' can reduce loading times by up to 80%, the number of bytes on a wire can be decreased by 30%, and the number of total requests can drop by over 20%. Since many search engines, including Google, employ a ranking algorithm that is affected by a page's loading speed, these optimizations can impact a website's placement in search results.[12][13] As of February 2015, Google has begun testing “Slow” labels on mobile devices[14] for websites that exceed a certain amount of loading time, prompting developers to examine ways to increase a page's load speed.

Google estimates that for every delay in mobile page load time, the conversion rate drops by 20%.[15]

PageSpeed Insights (PSI)

[edit]

PageSpeed Insights (PSI) is a free tool from Google that analyzes the performance of a web page on both mobile and desktop devices. It provides suggestions on how to improve the page's speed and overall user experience.

Data and Metrics

PSI utilizes two main types of data:

  • Lab Data: Collected in a controlled environment using Lighthouse to simulate user experience. Useful for debugging performance issues.
  • Field Data: Real-world user experience data gathered from the Chrome User Experience Report (CrUX) dataset. This data includes metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS).

Real-User Experience Data

PSI leverages CrUX data to provide insights into real user experiences. It reports on various metrics over a 28-day period, including:

  • First Contentful Paint (FCP): Time taken for the first content to render on the page.
  • Largest Contentful Paint (LCP): Time taken for the main content of the page to render.
  • Interaction to Next Paint (INP): Time taken for the page to become interactive after the user interacts with it.
  • Cumulative Layout Shift (CLS): Measures the amount of unexpected layout shift a user experiences during page load.
  • Time to First Byte (TTFB) (Experimental): Time taken for the browser to receive the first byte of response from the server.
  • First Input Delay (FID) (Deprecated): Measures the time it takes for a user interaction to be reflected on the page (no longer recommended by Google).

PSI classifies these metrics into three categories based on Web Vitals thresholds: Good, Needs Improvement, and Poor.

Core Web Vitals

A subset of the field data metrics, Core Web Vitals, are critical for a good user experience. These include LCP, INP, and CLS. PSI analyzes these metrics to determine if a page meets the Core Web Vitals assessment criteria. These are also used as a SEO ranking signal.

Lab Diagnostics

PSI uses Lighthouse to analyze a web page in a simulated environment. It provides scores and recommendations for various categories like Performance, Accessibility, Best Practices, and SEO. The Performance category includes metrics like FCP, LCP, CLS, and Time to Interactive, each with scores and improvement suggestions.

Overall, PSI is a valuable tool for website owners and developers to identify performance bottlenecks and improve the user experience of their web pages.

PageSpeed Chrome Extension

[edit]

Pagespeed extension is an extension of Chrome Browser and is a part of Google Chrome Developer Tools. Visitors who use PageSpeed regularly can view all given metrics by PageSpeed Insights directly in a browser and download webpage resources, optimized according to web performance best practices. It has now been deprecated[16] and Google recommends the online version be used instead.

PageSpeed Service

[edit]

PageSpeed service was a commercial product, provided by Google Inc. The service was offered free of charge since it was still officially in beta version. Service included all Pagespeed Module optimizations and use of Google servers’ infrastructure.[17] Google announced the deprecation of PageSpeed service on 5 May 2015[18] and turned it off on 3 August 2015.[19]

See also

[edit]

References

[edit]
  1. ^ "About PageSpeed Insights". Google Developers. Retrieved 2022-08-13.
  2. ^ Ivanovs, Alex (16 April 2014). "PageSpeed Module: Improving Your Websites' Performance". huffingtonpost.com/. The Huffington Post. Retrieved 23 March 2015.
  3. ^ Kerner, Sean Michael (4 November 2010). "Google Speeds Up the Web with Apache Web Server Module". serverwatch.com/news/. Retrieved 23 March 2015.
  4. ^ Ram, Ramani (2011-07-29). "Page Speed Service: Web performance, delivered". googlecode.blogspot.com/. Retrieved 17 March 2015.
  5. ^ "Github". github.com. Google Inc. Retrieved 6 August 2020.
  6. ^ "Github". github.com. Google Inc. Retrieved 6 August 2020.
  7. ^ "Apache Incubator". modpagespeed.com/. Google Inc. Retrieved 6 August 2020.
  8. ^ Edwards, Ben (2014-07-28). "Authoring critical above-the-fold CSS". benedfit.com. Retrieved 23 March 2015.
  9. ^ "PageSpeed Insights SDK". code.google.com. Google Inc. Retrieved 23 March 2015.
  10. ^ "ats_pagespeed". iispeed.com/. IISpeed B.V. Archived from the original on 2015-05-25. Retrieved 2015-05-25.
  11. ^ "IIS WebSpeed". iiswebspeed.com/. IISpeed B.V.
  12. ^ Enge, Eric (2011-03-06). "Case Study: Impact of Code Cleanup on Site Traffic". searchenginewatch.com/. Search Engine Watch. Retrieved 23 March 2015.
  13. ^ Kuchler, Margaret (19 May 2011). "The Growing Need For Speed: How Site Performance Increasingly Influences Search Rankings". retailtouchpoints.com/. Retail Touch Points. Retrieved 23 March 2015.
  14. ^ Barry, Shwartz (2015-02-25). "Google Testing A Red "Slow" Label In The Search Results For Slower Sites". searchengineland.com/. Retrieved 17 March 2015.
  15. ^ "Mobile Page Load Delay Causes Conversion Loss". Think with Google. Retrieved 2024-05-23.
  16. ^ "PageSpeed Insights | PageSpeed Insights | Google Developers". Google Developers. Retrieved 2016-09-08.
  17. ^ Lardinois, Frederic (3 August 2012). "Google Updates PageSpeed Service, Promises To "Turbocharge Your Website"". techcrunch.com. The Tech Crunch. Retrieved 23 March 2015.
  18. ^ "Google Groups". groups.google.com. Retrieved 7 February 2019.
  19. ^ "Turndown information for PageSpeed Service - PageSpeed Service". Google Developers. Retrieved 7 February 2019.
[edit]