Recherche avancée

Sur d’autres sites (9995)

• Introducing Matomo SEO Web Vitals

  13 septembre 2021, par Ben Erskine — About, Analytics Tips, Plugins

  SEO Web Vitals track your critical website performance metrics and are a core element of SEO best practice. 

  Start using Matomo SEO Web Vitals to monitor your website performance, optimise your visitor experience, improve your search result rankings, and see how your site compares to your competitors.

  

  What are SEO Web Vitals ?

  Web Vitals are made up of a number of important metrics, such as your website’s page speed and loading performance, these metrics all play an important role in search engine optimisation. 

  The more technical terms for these metrics are Page Speed Score, First Contentful Paint (FCP), Final Input Delay (FID), Last Contentful Paint (LCP) and Cumulative Layout Shift (CLS).

  Why should you use SEO Web Vitals ?

  SEO Web Vitals are being used more and more by search engines such as Google to rank websites so they help ensure a great page experience for users who arrive via links from their search results. 

  By monitoring your SEO Web Vitals you can see how good or bad a single page performs and then prioritise the optimisation of strategically important pages to help improve the ranking position within search engine results.

  For ease of use you can receive regular reports in your email inbox and you can configure custom alerts to automatically notify you when a page score changes significantly. This saves time by not having to check page performance scores manually while ensuring you will be notified should there be any important change that needs to be actioned.

  You should use SEO Web Vitals to understand how your site performance is impacting your overall visitor experience.

  Four key benefits of using SEO Web Vitals :

  Improve your search result rankings

  • SEO Web Vitals are a core element of SEO best practice and directly impact your search rankings.
  • Pages that load quickly and are more stable deliver a better user experience, so they’re ranked higher by search engines.

  Optimise your website visitor experience

  • Know how quickly pages on your website load to ensure you deliver an optimal visitor experience.
  • Identify page stability issues and implement the changes needed to enhance your visitor experience.

  Automate your website performance monitoring

  • Have peace of mind knowing if your metrics decrease, you can find and fix the root cause quickly.
  • Configure performance alerts and get automated reports sent to you.

  Incorporate website performance into your competitor analysis

  • These performance metrics are essentially open for anyone to inspect, so you can measure and benchmark your site against competitors. 

  How can I improve my SEO Web Vitals ?

  There are so many ways to improve these performance metrics, here are five of the common contributing factors.

  1. Your page speed score is a weighted average of your other performance metrics, so focus on improving the underlying metrics that contribute to this score.
  2. Ensure you use a high quality web host with an appropriate plan for your level of traffic to help improve your FCP time.
  3. Try removing large elements that aren’t required on your page to improve your LCP time.
  4. Optimise against Total Blocking Time to Improve your FID score.
  5. Consider using a Layout Shift Debugger to improve Your CLS Score

  Guide to Matomo SEO Web Vitals

  For more information and to learn how to configure SEO Web Vitals in Matomo, check out our full guide to SEO Web Vitals.

  You will learn :

  • What’s required to measure your SEO Web Vitals
  • How to configure SEO Web Vitals
  • How to analyse your SEO Web Vitals
  • How to understanding SEO Web Vitals metrics
  • How to analyse your page’s SEO Web Vitals over time
  • How to improve your SEO Web Vitals
  • How to monitor changes in your scores with custom alerts

  Need more resources ?

  Matomo Plugin SEO Web Vitals

  Matomo SEO Web Vitals FAQs

• How is better to use ffmpeg with the ASP.NET Core, on Linux ?

  26 mars, par user8245660

  I've got the project (ASP.NET Core, on Linux) where are the several tasks, which relate to the video converting and extracting frames from the video file.

  



  I thought about the two possible options :

  



  

  1. using ffmpeg console utility

  


  2. using P/Invoke with the libavcodec library and others, which ffmpeg uses

  


  



  The second option is miles harder and may be very impractical, because it reminds me developing the new wrapper/library, instead of using the ready products.

  



  I've done googling, but there aren't well-done projects for the C#/ASP.NET Core on Linux platform. There are some good for C++ and Python, but NOT for the C# on Linux/.NET Core.

  



  I decided to look at the first option, which I suppose would be more easier and practical. But, there are some weak places, which can produce many problems. We understand (I suppose), that using the 1st option, the end-developer shall use the process forking. So, there could be possible problems with the process idle and other possible issues...

  



  I'm asking about your practice, because it's my first experience on Linux platform with the video converting/sampling using C#. I've used the Expression Encoder .NET library on Windows platform, but it's other story and it makes no sense, right now.

  



  May be, there are other options, which I can't see right at the moment. I dislike the 1st option because of possible unhandled exceptions, because ffmpeg with such role becomes the black box for the ASP.NET Core backend.

  


• Convert YUM stream to Frame in ffmpeg

  18 août 2016, par Mohammad Abu Musa

  I am writing a screen recorder using Google Native Client, it gets a stream of images from Chrome formatted as pp::VideoFrame these frames are raw data in YUM format.

  I tried to convert these frames to AVFrame but it did not work out for me. here are the information I can extract from Google Native Code

  const char* data = static_cast<const>(frame.GetDataBuffer());
  
  pp::Size size;
  
  frame.GetSize(&amp;size);
  
  int32_t width = frame_size_.width();
  
  int32_t height = frame_size_.height(); 
  
  is_bgra_ = (frame.GetFormat() == PP_VIDEOFRAME_FORMAT_BGRA);
  
  </const>

  I have no previous experience in FFMPEG, I am trying to emulate transcoding.c to mux audio from microphone and screen capture from chrome.