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• Web Analytics : The Quick Start Guide

  25 janvier 2024, par Erin

  You’ve spent ages carefully designing your website, crafting copy to encourage as many users as possible to purchase your product. 

  But they aren’t. And you don’t know why. 

  The good news is you don’t have to remain in the dark. Collecting and analysing web analytics lets you understand how your users behave on your site and why they aren’t converting. 

  But before you can do that, you need to know what those metrics and KPIs mean. That’s why this article is taking things back to basics. Below, we’ll show you which metrics to track, what they mean and how to choose the best web analytics platform. 

  What is web analytics ?

  Web analytics is the process of collecting, analysing and reporting website data to understand how users behave on your website. Web analytics platforms like Matomo collect this data by adding a code line to every site page. 

  Why is it important to track web analytics ?

  There are plenty of reasons you should start tracking web analytics, including the following :

  

  Analyse user behaviour

  Being able to analyse user behaviour is the most important reason to track website analytics. After all, you can’t improve your website’s conversion rate if you don’t know what users do on your site.

  A web analytics platform can show you how users move around your site, the links they click on and the forms they fill in. 

  Improve site experience

  Web analytics is a fantastic way to identify issues and find areas where your site could improve. You could look at your site’s exit pages, for example, and see why so many users leave your site when viewing one of these pages and what you can do to fix it.

  It can also teach you about your user’s preferences so you can improve the user experience in the future. Maybe they always click a certain type of button or prefer one page’s design over another. Whatever the case, you can use the data to make your site more user-friendly and increase conversions.

  Boost marketing efforts

  Web analytics is one of the best ways to understand your marketing efforts and learn how to improve them.

  A good platform can collect valuable data about your marketing campaigns, including :

  • Where users came from
  • What actions these users take on your site
  • Which traffic sources create the most conversions

  This information can help you decide which marketing campaigns send the best users to your site and generate the highest ROI. 

  Make informed decisions

  Ultimately, web analytics simplifies decision-making for your website and marketing efforts by relying on concrete data instead of guesswork.

  Rather than wonder why users aren’t adding products to their shopping cart or signing up for your newsletter, you can analyse how they behave and use that information to hypothesise how you can improve conversions. Web analytics will even give you the data to confirm whether you were right or wrong. 

  What are the key metrics you should track ?

  Getting your head around web analytics means knowing the most important metrics to track. Below are seven key metrics and how to track them using Matomo. 

  Traffic

  Traffic is the number of people visiting your website over a period of time. It is the lifeblood of your website since the more visits your site receives, the more revenue it stands to generate.

  However, simply having a high volume of visitors does not guarantee substantial revenue. To maximise your success, focus on attracting your ideal customers and generating quality traffic from those who are most likely to engage with your offerings.

  Ideally, you should be seeing an upward trend in traffic over time though. The longer your website has been published and the more quality and targeted content you create, the more traffic you should receive. 

  Matomo offers multiple ways to check your website’s traffic :

  • Visits log report
  • Real-time visitor map
  • Visits in real-time report

  The visits log report in Matomo is perfect if you want a granular view of your visitors.

  

  It shows you each user session and get a detailed picture of each user, including :

  • Their geographic location
  • The number of actions they took
  • How they found your site
  • The length of time they stayed
  • Their device type
  • What browser they are using
  • The keyword they used to find your site

  Traffic sources

  Traffic sources show how users access your website. They can enter via a range of traffic sources, including search engines, email and direct visits, for instance.

  Matomo has five default traffic source types :

  • Search engine – visitors from search platforms (like Google, Bing, etc.)
  • Direct traffic – individuals who directly type your website’s URL into their browser or have it bookmarked, bypassing search engines or external links
  • Websites – visits from other external sites
  • Campaigns – traffic resulting from specific marketing initiatives (like a newsletter or ad campaign, for instance)
  • Social networks  – visitors who access your website through various social media platforms (such as Facebook, LinkedIn, Instagram. etc.)

  But each of these can be broken into more granular sources. Take organic traffic from search engines, for example :

  

  Matomo tracks visits from each search engine, showing you how many visits you had in total, how many actions those visitors took, and the average amount of time those visitors spent on your site. 

  You can even integrate Google, Bing and Yahoo search consoles to monitor keyword performance and enhance your search engine optimisation efforts.

  Pageviews

  Whenever a browser loads a page, your web analytics tool records a pageview. This term, pageview, represents the count of unique times a page on your website is loaded.

  You can track pageviews in Matomo by opening the Pages tab in the Behaviour section of the main navigation. 

  

  You can quickly see your site’s most visited pages in this report in Matomo. 

  Be careful of deriving too much meaning from pageviews. Just because a page has lots of views, doesn’t necessarily mean it’s quality or valuable. There are a couple of reasons for this. First, the page might be confusing, so users have to keep revisiting it to understand the content. Second, it could be the default page most visitors land on when they enter your site, like the homepage. 

  While pageviews offer insights, it’s important to dig deeper into user behaviour and other metrics to truly gauge a page’s importance and impact.

  Average time on page

  Time on page is the amount of time users spend on the page on average. You can see average time on page in Matomo’s page analytics report.

  A low time on page score isn’t necessarily a bad thing. Users will naturally spend less time on gateway pages and checkout pages. A short time spent on checkout pages, especially if users are successfully completing their transactions, indicates that the checkout process is easy and seamless.

  Conversely, a longer time on blog posts is a positive indicator. It suggests that readers are genuinely engaged with the content.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

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  Returning visitors

  Returning visitors measures the number of people who visit your site more than once. It can be expressed as a number or a percentage. 

  While some analytics tools only show returning visitors as a percentage, Matomo lets you learn more about each of them in the Visitor profile report. 

  

  This report offers a full summary of a user’s previous actions, including :

  • How many times they’ve visited your site
  • The pages they viewed on each visit
  • Where they visited from
  • The devices they used
  • How quickly pages loaded

  When people keep coming back to a website, it’s usually a positive sign and means they like the service, content or products. But, it depends on the type of website. If it’s the kind of site where people make one-off purchases, the focus might not be on getting visitors to return. For a site like this, a high number of returning visitors could indicate that the website is confusing or difficult to use. 

  It’s all about the context – different websites have different goals, and it’s important to keep this in mind when analysing your site.

  Conversions

  A conversion is when a user takes a desired action on your website. This could be :

  • Making a purchase
  • Subscribing to your newsletter
  • Signing up for a webinar

  You can track virtually any action as a conversion in Matomo by setting goals and analysing the goals report.

  

  As you can see in the screenshot above, Matomo shows your conversions plotted over time. You can also see your conversion rate to get a complete picture and assign a value to each conversion to calculate how much revenue each conversion generates. 

  Bounce rate

  A visitor bounces when they leave your website without taking an action or visiting another page. 

  Typically, you want bounce rate to be low because it means people are engaged with your site and more likely to convert. However, in some cases, a high bounce rate isn’t necessarily bad. It might mean that visitors found what they needed on the first page and didn’t feel the need to look further. 

  The impact of bounce rate depends on your website’s purpose and goals.

  You can view your website’s bounce rate using Matomo’s page analytics report — the same report that shows pageviews.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  Web analytics best practices

  You should follow several best practices to get the most from website analytics data. 

  Choose metrics that align with your goals

  Only some metrics your analytics platform tracks will be relevant to your business. So don’t waste time analysing all of them.

  Instead, focus on the ones that matter most to your business. A marketer for an e-commerce store, for example, might focus on conversion-related metrics like conversion rate and total number of transactions. They might also want to look at campaign-related metrics, like traffic sources and bounce rates, so they can optimise paid ad campaigns accordingly. 

  A marketer looking to improve their site’s SEO, on the other hand, will want to track SEO web analytics like bounce rate and broken links.

  Add context to your data

  Don’t take your data at face value. There could be dozens of factors that impact how visitors access and use your site — many of which are outside your control. 

  For example, you may think an update to your site has sent your conversions crashing when, in reality, a Google algorithm update has negatively impacted your search traffic.

  Adding annotations within Matomo can provide invaluable context to your data. These annotations can be used to highlight specific events, changes or external factors that might influence your website metrics.

  

  By documenting significant occurrences, such as website updates, marketing campaigns or algorithm changes, you create a timeline that helps explain fluctuations in your data.

  Go further with advanced web analytics features

  It’s clear that a web analytics platform is a necessary tool to understand your website’s performance.

  However, if you want greater confidence in decision-making, quicker insights and better use of budget and resources, you need an advanced solution with behavioural analytics features like heatmaps, A/B testing and session recordings. 

  Most web analytics solutions don’t offer these advanced features, but Matomo does, so we’ll be showcasing Matomo’s behavioural analytics features.

  Now, if you don’t have a Matomo account, you can try it free for 21-days to see if it’s the right tool for you.

  

  A heatmap, like the example above, makes it easy to discover where your users pay attention, which part of your site they have problems with, and how they convert. It adds a layer of qualitative data to the facts offered by your web analytics tool.

  Similarly, session recordings will offer you real-time playbacks of user interactions, helping you understand their navigation patterns, identify pain points and gain insights into the user experience.

  Then you can run experiments bu using A/B testing to compare different versions of your website or specific elements, allowing you to make informed decisions based on actual user preferences and behaviour. For instance, you can compare different headlines, images, page layouts or call-to-action buttons to see which resonates better with your audience. 

  Together, these advanced features will give you the confidence to optimise your website, improve user satisfaction and make data-driven decisions that positively impact your business.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  How to choose a web analytics tool

  A web analytics tool is the best way to track the above metrics. Choose the best one for your company by following the steps below. 

  Look for the right features

  Most popular web analytics platforms, like Google Analytics, will offer the same core features like tracking website traffic, monitoring conversions and generating reports. 

  But it’s the added features that set great tools apart. Do you need specific tools to measure the performance of your e-commerce store, for example ? What about paid ad performance, A/B testing or form analytics ?

  By understanding exactly what you need from an analytics platform, you can make an informed choice. 

  Think about data accuracy

  Data accuracy is one of the biggest issues with analytics tools. Many users block cookies or opt out of tracking, making it difficult to get a clear picture of user behaviour — and meaning that you have to think about how your user data will be collected with your chosen platform.

  Google Analytics, for instance, uses data sampling to make assumptions about traffic levels rather than relying on accurate data. This can lead to inaccurate reports and false conclusions. 

  It’s why Matomo doesn’t use data sampling and provides 100% accurate data. 

  Understand how you’ll deal with data privacy

  Data privacy is another big concern for analytics users. Several major analytics platforms aren’t compatible with regional data privacy laws like GDPR, which can impact your ability to collect data in these regions. 

  It’s why many companies trust privacy-focused analytics tools that abide by regulations without impacting your ability to collect data. Matomo is a market leader in this respect and is one of the few web analytics tools that the Centre for Data Privacy Protection in France has said is exempt from tracking consent requirements.

  Many government agencies across Europe, Asia, Africa and North America, including organisations like the United Nations and European Commission, rely on Matomo for web analytics.

  Conclusion

  Web analytics is a powerful tool that helps you better understand your users, improve your site’s performance and boost your marketing efforts. 

  If you want a platform that offers advanced features, 100% accurate data and protects your users’ privacy, then look no further than Matomo. 

  Try Matomo free for 21 days, no credit card required. 

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

  Your website address
  

  Your Analytics subdomain will be .matomo.cloud (change)

• GA360 Sunset : Is Now the Time to Switch ?

  20 mai 2024, par Erin

  Google pushed the sunset date of Universal Analytics 360 to July 2024, giving enterprise users more time to transition to Google Analytics 4. This extension is also seen by some as time to find a suitable alternative. 

  While Google positions GA4 as an upgrade to Universal Analytics, the new platform has faced its fair share of backlash. 

  So before you rush to meet the new sunset deadline, ask yourself this question : Is now the time to switch to a Google Analytics alternative ?

  In this article, we’ll explain what the new GA360 sunset date means and show you what you could gain by choosing a privacy-friendly alternative. 

  What’s happening with the final GA360 sunset ?

  Google has given Universal Analytics 360 properties with a current 360 licence a one-time extension, which will end on 1 July 2024.

  Why did Google extend the sunset ?

  In a blog post on Google, Russell Ketchum, Director of Product Management at Google Analytics, provided more details about the final GA360 sunset. 

  In short, the tech giant realised it would take large enterprise accounts (which typically have complex analytics setups) much longer to transition smoothly. The extension gives them time to migrate to GA4 and check everything is tracking correctly. 

  What’s more, Google is also focused on improving the GA4 experience before more GA360 users migrate :

  “We’re focusing our efforts and investments on Google Analytics 4 to deliver a solution built to adapt to a changing ecosystem. Because of this, throughout 2023 we’ll be shifting support away from Universal Analytics 360 and will move our full focus to Google Analytics 4 in 2024. As a result, performance will likely degrade in Universal Analytics 360 until the new sunset date.”

  Despite the extension, the July sunset is definitive. 

  Starting the week of 1 July 2024, you won’t be able to access any Universal Analytics properties or the API (not even with read-only access), and all data will be deleted.

  In other words, it’s not just data collection that will cease at the start of July. You won’t be able to access the platform, and all your data will be deleted. 

  What GA360 features is Google deprecating, and when ?

  If you’re wondering which GA360 features are being deprecated and when, here is the timeline for Google’s final GA360 sunset :

  • 1 January 2024 : From the beginning of the year, Google doesn’t guarantee all features and functionalities in UA 360 will continue to work as expected. 
  • 29 January 2024 : Google began deprecating a string of advertising and measurement features as it shifts resources to focus on GA4. These features include :
    • Realtime reports
    • Lifetime Value report
    • Model Explorer
    • Cohort Analysis
    • Conversion Probability report
    • GDN Impression Beta
  • Early March 2024 : Google began deprecating more advertising and measurement features. Deprecated advertising features include Demographic and Interest reports, Publisher reporting, Phone Analytics, Event and Salesforce Data Import, and Realtime BigQuery Export. Deprecated measurement features include Universal Analytics property creation, App Views, Unsampled reports, Custom Tables and annotations.
  • Late March 2024 : This is the last recommended date for migration to GA4 to give users three months to validate data and settings. By this date, Google recommends that you migrate your UA’s Google Ads links to GA4, create new Google Ad conversions based on GA4 events, and add GA4 audiences to campaigns and ad groups for retargeting. 
  • 1 July 2024 : From 1 July 2024, you won’t be able to access any UA properties, and all data will be deleted.

  What’s different about GA4 360 ? 

  GA4 comes with a new set of metrics, setups and reports that change how you analyse your data. We highlight the key differences between Universal Analytics and GA4 below. 

  

  New dashboard

  The layout of GA4 is completely different from Universal Analytics, so much so that the UX can be very complex for first-time and experienced GA users alike. Reports or metrics that used to be available in a couple of clicks in UA now take five or more to find. While you can do more in theory with GA4, it takes much more work. 

  New measurements

  The biggest difference between GA4 and UA is how Google measures data. GA4 tracks events — and everything counts as an event. That includes pageviews, scrolls, clicks, file downloads and contact form submissions. 

  The idea is to anonymise data while letting you track complex buyer journeys across multiple devices. However, it can be very confusing, even for experienced marketers and analysts. 

  New metrics

  You won’t be able to track the same metrics in GA4 as in Universal Analytics. Rather than bounce rate, for example, you are forced to track engagement rate, which is the percentage of engaged sessions. These sessions last at least ten seconds, at least two pageviews or at least one conversion event. 

  Confused ? You’re not alone. 

  New reports

  Most reports you’ll be familiar with in Universal Analytics have been replaced in GA4. The new platform also has a completely different reporting interface, with every report grouped under the following five headings : realtime, audience, acquisition, behaviour and conversions. It can be hard for experienced marketers, let alone beginners, to find their way around these new reports. 

  AI insights

  GA4 has machine learning (ML) capabilities that allow you to generate AI insights from your data. Specifically, GA4 has predictive analytics features that let you track three trends : 

  • Purchase probability : the likelihood that a consumer will make a purchase in a given timeframe.
  • Churn probability : the likelihood a customer will churn in a given period.
  • Predictive revenue : the amount of revenue a user is likely to generate over a given period. 

  Google generates these insights using historical data and machine learning algorithms. 

  Cross-platform capabilities

  GA4 also offers cross-platform capabilities, meaning it can track user interactions across websites and mobile apps, giving businesses a holistic view of customer behaviour. This allows for better decision-making throughout the customer journey.

  Does GA4 360 come with other risks ?

  Aside from the poor usability, complexity and steep learning curve, upgrading your GA360 property to GA4 comes with several other risks.

  GA4 has a rocky relationship with privacy regulations, and while you can use it in a GDPR-compliant way at the moment, there’s no guarantee you’ll be able to do so in the future. 

  This presents the prospect of fines for non-compliance. A worse risk, however, is regulators forcing you to change web analytics platforms in the future—something that’s already happened in the EU. Migrating to a new application can be incredibly painful and time-consuming, especially when you can choose a privacy-friendly alternative that avoids the possibility of this scenario. 

  If all this wasn’t bad enough, switching to GA4 risks your historical Universal Analytics data. That’s because you can’t import Universal Analytics data into GA4, even if you migrate ahead of the sunset deadline.

  Why you should consider a GA4 360 alternative instead

  With the GA360 sunset on the horizon, what are your options if you don’t want to deal with GA4’s problems ? 

  The easiest solution is to migrate to a GA4 360 alternative instead. And there are plenty of reasons to migrate from Google Analytics to a privacy-friendly alternative like Matomo. 

  Keep historical data

  As we’ve explained, Google isn’t letting users import their Universal Analytics data from GA360 to GA4. The easiest way to keep it is by switching to a Google Analytics alternative like Matomo that lets you import your historical data. 

  Any business using Google Analytics, whether a GA360 user or otherwise, can import data into Matomo using our Google Analytics Importer plugin. It’s the best way to avoid disruption or losing data when moving on from Universal Analytics.

  Collect 100% accurate data

  Google Analytics implements data sampling and machine learning to fill gaps in your data and generate the kind of predictive insights we mentioned earlier. For standard GA4 users, data sampling starts at 10 million events. For GA4 360 users, data sampling starts at one billion events. Nevertheless, Google Analytics data may not accurately reflect your web traffic. 

  You can fix this using a Google Analytics alternative like Matomo that doesn’t use data sampling. That way, you can be confident that your data-driven decisions are being made with 100% accurate user data. 

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  Guarantee user privacy first

  Google has a stormy relationship with the EU-US Data Privacy Framework—being banned and added back to the framework in recent years.

  Currently, organisations governed by GDPR can use Google Analytics to collect data about EU residents, but there’s no guarantee of their ability to do so in the future. Nor does the Framework prevent Google from using EU customer data for ulterior purposes such as marketing and training large language models. 

  By switching to a privacy-focused alternative like Matomo, you don’t have to worry about your user’s data ending up in the wrong hands.

  Upgrade to an all-in-one analytics tool

  Switching from Google Analytics can actually give organisations access to more features. That’s because some GA4 alternatives, like Matomo, offer advanced conversion optimisation features like heatmaps, session recordings, A/B testing, form analytics and more right out of the box. 

  

  This makes Matomo a great choice for marketing teams that want to minimise their tech stack and use one tool for both web and behavioural analytics. 

  Get real-time reports

  GA4 isn’t the best tool for analysing website visitors in real time. That’s because it can take up to 4 hours to process new reports in GA360.

  However, Google Analytics alternatives like Matomo have a range of real-time reports you can leverage.

  

  In Matomo, the Real Time Visitor World Map and other reports are processed every 15 minutes. There is also a Visits in Real-time report, which refreshes every five seconds and shows a wealth of data for each visitor. 

  Matomo makes migration easy

  Whether it’s the poor usability, steep learning curve, inaccurate data or privacy issues, there’s every reason to think twice about migrating your UA360 account to GA4. 

  So why not migrate to a Google Analytics alternative like Matomo instead ? One that doesn’t sample data, guarantees your customers’ privacy, offers all the features GA4 doesn’t and is already used by over 1 million sites worldwide.

  Making the switch is easy. Matomo is one of the few web analytics tools that lets you import historical Google Analytics data. In doing so, you can continue to access your historical data and develop more meaningful insights by not having to start from scratch.

  If you’re ready to start a Google Analytics migration, you can try Matomo free for 21 days — no credit card required. 

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• Why X.Org's X Server has stopped working on Google Colab ?

  20 février 2021, par Rahul

  I am Using X server for the virtual screen on Google Colab and capturing that screen with ffmpeg to record it and live stream it to twitch. (for the reinforcement learning project)

  


  


  The above process was completely working till my last use of my Colab notebook (on mid-January 2021), but now (on 19th February 2021) I am using the same notebook and the streaming code has stopped working.

  


  


  I am adding config and log file data below. (I have never seen these files before because it was working, now it's not so I don't have any idea what wrong)

  


  The config file stored at /etc/X11/xorg.conf have the following data :

  


  # nvidia-xconfig: X configuration file generated by nvidia-xconfig
# nvidia-xconfig:  version 418.67

Section "ServerLayout"
    Identifier     "Layout0"
    Screen      0  "Screen0"
    InputDevice    "Keyboard0" "CoreKeyboard"
    InputDevice    "Mouse0" "CorePointer"
EndSection

Section "Files"
EndSection

Section "InputDevice"
    # generated from default
    Identifier     "Mouse0"
    Driver         "mouse"
    Option         "Protocol" "auto"
    Option         "Device" "/dev/mouse"
    Option         "Emulate3Buttons" "no"
    Option         "ZAxisMapping" "4 5"
EndSection

Section "InputDevice"
    # generated from default
    Identifier     "Keyboard0"
    Driver         "kbd"
EndSection

Section "Monitor"
    Identifier     "Monitor0"
    VendorName     "Unknown"
    ModelName      "Unknown"
    HorizSync       28.0 - 33.0
    VertRefresh     43.0 - 72.0
    Option         "DPMS"
EndSection

Section "Device"
    Identifier     "Device0"
    Driver         "nvidia"
    VendorName     "NVIDIA Corporation"
    BoardName      "Tesla T4"
    BusID          "PCI:0:4:0"
    MatchSeat      "seat-1"
EndSection

Section "Screen"
    Identifier     "Screen0"
    Device         "Device0"
    Monitor        "Monitor0"
    DefaultDepth    24
    Option         "AllowEmptyInitialConfiguration" "True"
    SubSection     "Display"
        Virtual     1920 1080
        Depth       24
    EndSubSection
EndSection


  


  The log file stored at /var/log/Xorg.0.log have the following data :

  


  [   464.605] 
X.Org X Server 1.19.6
Release Date: 2017-12-20
[   464.605] X Protocol Version 11, Revision 0
[   464.605] Build Operating System: Linux 4.15.0-124-generic x86_64 Ubuntu
[   464.605] Current Operating System: Linux 9d3fe3949671 4.19.112+ #1 SMP Thu Jul 23 08:00:38 PDT 2020 x86_64
[   464.605] Kernel command line: BOOT_IMAGE=/syslinux/vmlinuz.A init=/usr/lib/systemd/systemd boot=local rootwait ro noresume noswap loglevel=7 noinitrd console=ttyS0 security=apparmor virtio_net.napi_tx=1 systemd.unified_cgroup_hierarchy=false systemd.legacy_systemd_cgroup_controller=false csm.disabled=1 dm_verity.error_behavior=3 dm_verity.max_bios=-1 dm_verity.dev_wait=1 i915.modeset=1 cros_efi loadpin.enabled=0 root=/dev/dm-0 "dm=1 vroot none ro 1,0 4077568 verity payload=PARTUUID=555BDB75-CBD7-CD4A-B24E-29B13D7AC0DF hashtree=PARTUUID=555BDB75-CBD7-CD4A-B24E-29B13D7AC0DF hashstart=4077568 alg=sha256 root_hexdigest=42104d547ac104fb7061529e78f53e4f3e8c3d3cbb040dc6e0f84aad68491347 salt=9dc7f3acc4e2ce65be16356e960c2b21b51a917fa31d2e891fd295490c991e41" mitigations=off
[   464.605] Build Date: 30 November 2020  08:01:56PM
[   464.605] xorg-server 2:1.19.6-1ubuntu4.8 (For technical support please see http://www.ubuntu.com/support) 
[   464.605] Current version of pixman: 0.34.0
[   464.605]    Before reporting problems, check http://wiki.x.org
    to make sure that you have the latest version.
[   464.605] Markers: (--) probed, (**) from config file, (==) default setting,
    (++) from command line, (!!) notice, (II) informational,
    (WW) warning, (EE) error, (NI) not implemented, (??) unknown.
[   464.605] (==) Log file: "/var/log/Xorg.0.log", Time: Sat Feb 20 03:10:44 2021
[   464.606] (==) Using config file: "/etc/X11/xorg.conf"
[   464.606] (==) Using system config directory "/usr/share/X11/xorg.conf.d"
[   464.607] (==) ServerLayout "Layout0"
[   464.607] (**) |-->Screen "Screen0" (0)
[   464.607] (**) |   |-->Monitor "Monitor0"
[   464.607] (**) |   |-->Device "Device0"
[   464.607] (**) |-->Input Device "Keyboard0"
[   464.607] (**) |-->Input Device "Mouse0"
[   464.607] (==) Automatically adding devices
[   464.607] (==) Automatically enabling devices
[   464.607] (==) Automatically adding GPU devices
[   464.607] (==) Automatically binding GPU devices
[   464.607] (==) Max clients allowed: 256, resource mask: 0x1fffff
[   464.607] (WW) The directory "/usr/share/fonts/X11/cyrillic" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (WW) The directory "/usr/share/fonts/X11/100dpi/" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (WW) The directory "/usr/share/fonts/X11/75dpi/" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (WW) The directory "/usr/share/fonts/X11/Type1" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (WW) The directory "/usr/share/fonts/X11/100dpi" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (WW) The directory "/usr/share/fonts/X11/75dpi" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (==) FontPath set to:
    /usr/share/fonts/X11/misc,
    built-ins
[   464.607] (==) ModulePath set to "/usr/lib/xorg/modules"
[   464.607] (WW) Hotplugging is on, devices using drivers 'kbd', 'mouse' or 'vmmouse' will be disabled.
[   464.607] (WW) Disabling Keyboard0
[   464.607] (WW) Disabling Mouse0
[   464.607] (II) Loader magic: 0x556eb77b8020
[   464.607] (II) Module ABI versions:
[   464.607]    X.Org ANSI C Emulation: 0.4
[   464.607]    X.Org Video Driver: 23.0
[   464.607]    X.Org XInput driver : 24.1
[   464.607]    X.Org Server Extension : 10.0
[   464.607] (EE) dbus-core: error connecting to system bus: org.freedesktop.DBus.Error.FileNotFound (Failed to connect to socket /var/run/dbus/system_bus_socket: No such file or directory)
[   464.609] (--) PCI: (0:0:4:0) 10de:1eb8:10de:12a2 rev 161, Mem @ 0xc0000000/16777216, 0x380000000/268435456, 0x390000000/33554432
[   464.609] (II) no primary bus or device found
[   464.609] (II) LoadModule: "glx"
[   464.609] (II) Loading /usr/lib/xorg/modules/extensions/libglx.so
[   464.610] (II) Module glx: vendor="X.Org Foundation"
[   464.610]    compiled for 1.19.6, module version = 1.0.0
[   464.610]    ABI class: X.Org Server Extension, version 10.0
[   464.610] (II) LoadModule: "nvidia"
[   464.610] (II) Loading /usr/lib/xorg/modules/drivers/nvidia_drv.so
[   464.610] (II) Module nvidia: vendor="NVIDIA Corporation"
[   464.610]    compiled for 4.0.2, module version = 1.0.0
[   464.610]    Module class: X.Org Video Driver
[   464.610] (II) NVIDIA dlloader X Driver  418.67  Sat Apr  6 02:51:17 CDT 2019
[   464.610] (II) NVIDIA Unified Driver for all Supported NVIDIA GPUs
[   464.610] xf86EnableIOPorts: failed to set IOPL for I/O (Operation not permitted)
[   464.610] (II) Loading sub module "fb"
[   464.610] (II) LoadModule: "fb"
[   464.611] (II) Loading /usr/lib/xorg/modules/libfb.so
[   464.611] (II) Module fb: vendor="X.Org Foundation"
[   464.611]    compiled for 1.19.6, module version = 1.0.0
[   464.611]    ABI class: X.Org ANSI C Emulation, version 0.4
[   464.611] (II) Loading sub module "wfb"
[   464.611] (II) LoadModule: "wfb"
[   464.611] (II) Loading /usr/lib/xorg/modules/libwfb.so
[   464.611] (II) Module wfb: vendor="X.Org Foundation"
[   464.611]    compiled for 1.19.6, module version = 1.0.0
[   464.611]    ABI class: X.Org ANSI C Emulation, version 0.4
[   464.611] (II) Loading sub module "ramdac"
[   464.611] (II) LoadModule: "ramdac"
[   464.611] (II) Module "ramdac" already built-in
[   464.637] (EE) NVIDIA: Failed to initialize the NVIDIA kernel module. Please see the
[   464.637] (EE) NVIDIA:     system's kernel log for additional error messages and
[   464.637] (EE) NVIDIA:     consult the NVIDIA README for details.
[   464.662] (EE) NVIDIA: Failed to initialize the NVIDIA kernel module. Please see the
[   464.662] (EE) NVIDIA:     system's kernel log for additional error messages and
[   464.662] (EE) NVIDIA:     consult the NVIDIA README for details.
[   464.662] (EE) No devices detected.
[   464.662] (==) Matched modesetting as autoconfigured driver 0
[   464.662] (==) Matched fbdev as autoconfigured driver 1
[   464.662] (==) Matched vesa as autoconfigured driver 2
[   464.662] (==) Assigned the driver to the xf86ConfigLayout
[   464.662] (II) LoadModule: "modesetting"
[   464.662] (II) Loading /usr/lib/xorg/modules/drivers/modesetting_drv.so
[   464.663] (II) Module modesetting: vendor="X.Org Foundation"
[   464.663]    compiled for 1.19.6, module version = 1.19.6
[   464.663]    Module class: X.Org Video Driver
[   464.663]    ABI class: X.Org Video Driver, version 23.0
[   464.663] (II) LoadModule: "fbdev"
[   464.663] (II) Loading /usr/lib/xorg/modules/drivers/fbdev_drv.so
[   464.663] (II) Module fbdev: vendor="X.Org Foundation"
[   464.663]    compiled for 1.19.3, module version = 0.4.4
[   464.663]    Module class: X.Org Video Driver
[   464.663]    ABI class: X.Org Video Driver, version 23.0
[   464.663] (II) LoadModule: "vesa"
[   464.663] (II) Loading /usr/lib/xorg/modules/drivers/vesa_drv.so
[   464.663] (II) Module vesa: vendor="X.Org Foundation"
[   464.663]    compiled for 1.19.3, module version = 2.3.4
[   464.663]    Module class: X.Org Video Driver
[   464.663]    ABI class: X.Org Video Driver, version 23.0
[   464.663] (II) NVIDIA dlloader X Driver  418.67  Sat Apr  6 02:51:17 CDT 2019
[   464.663] (II) NVIDIA Unified Driver for all Supported NVIDIA GPUs
[   464.663] (II) modesetting: Driver for Modesetting Kernel Drivers: kms
[   464.663] (II) FBDEV: driver for framebuffer: fbdev
[   464.663] (II) VESA: driver for VESA chipsets: vesa
[   464.663] xf86EnableIOPorts: failed to set IOPL for I/O (Operation not permitted)
[   464.663] (EE) open /dev/dri/card0: No such file or directory
[   464.663] (WW) Falling back to old probe method for modesetting
[   464.663] (EE) open /dev/dri/card0: No such file or directory
[   464.663] (WW) Falling back to old probe method for fbdev
[   464.663] (II) Loading sub module "fbdevhw"
[   464.663] (II) LoadModule: "fbdevhw"
[   464.663] (II) Loading /usr/lib/xorg/modules/libfbdevhw.so
[   464.663] (II) Module fbdevhw: vendor="X.Org Foundation"
[   464.663]    compiled for 1.19.6, module version = 0.0.2
[   464.663]    ABI class: X.Org Video Driver, version 23.0
[   464.664] (EE) open /dev/fb0: No such file or directory
[   464.664] (WW) Falling back to old probe method for vesa
[   464.664] (WW) VGA arbiter: cannot open kernel arbiter, no multi-card support
[   464.664] (EE) Screen 0 deleted because of no matching config section.
[   464.664] (II) UnloadModule: "modesetting"
[   464.664] (EE) Device(s) detected, but none match those in the config file.
[   464.664] (EE) 
Fatal server error:
[   464.664] (EE) no screens found(EE) 
[   464.664] (EE) 
Please consult the The X.Org Foundation support 
     at http://wiki.x.org
 for help. 
[   464.664] (EE) Please also check the log file at "/var/log/Xorg.0.log" for additional information.
[   464.664] (EE) 
[   464.664] (EE) Server terminated with error (1). Closing log file.



  


  I am using this github repo to setup the video-streamer

  


  If anyone wants the colab notebook for the example then I will add it over here.

  


  For this problem I am really not sure where to file an issue for this so that's why I am writing this here.