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• CJEU rules US cloud servers don’t comply with GDPR and what this means for web analytics

  17 juillet 2020, par Jake Thornton
  Breaking news : On July 16, 2020, the Court of Justice of the European Union (CJEU) has ruled that any cloud services hosted in the US are incapable of complying with the GDPR and EU privacy laws.

  In August 2016, the EU-US Privacy Shield framework came into effect, which “protects the fundamental rights of anyone in the EU whose personal data is transferred to the United States for commercial purposes. It allows the free transfer of data to companies that are certified in the US under the Privacy Shield.” – European Commission website

  However after today’s CJEU ruling, this Privacy Shield framework became invalidated due to significant differences between EU and US privacy laws.

  European privacy law activist Max Schrems summarises with “The Court clarified for a second time now that there is a clash between EU privacy law and US surveillance law. As the EU will not change its fundamental rights to please the NSA, the only way to overcome this clash is for the US to introduce solid privacy rights for all people – including foreigners. Surveillance reform thereby becomes crucial for the business interests of Silicon Valley.” – noyb website

  Today’s ruling also continues to spark concern into the legitimacy of US privacy laws which doesn’t fully protect people’s personal data when hosted on cloud servers based in the US.

  

  How will this affect you ?

  For any business operating a website in the EU or if you have traffic coming to your website from EU visitors, you need to know what data you’re capturing and where this data is being stored.

  Here’s what Maja Smoltczyk (Berlin’s Commissioner for Data Protection and Freedom of Information) says :

  Controllers who transfer personal data to the USA, especially when using cloud-based services, are now required to switch immediately to service providers based in the European Union or a country that can
  ensure an adequate level of data protection. The CJEU has made it refreshingly clear that data exports are not just financial decisions, as people’s fundamental rights must also be considered as a matter of priority. This ruling will put
  an end to the transfer of personal data to the USA for the sake of convenience or to cut costs.

  The controller is you (not Google) and by transferring data to the US you are at risk of being fined up to €20 million or 4% of your annual worldwide turnover for not being GDPR compliant. 

  It’s you who has to take action, not Google or other US companies. The court’s decision has immediate effect. While we assume there will be a grace period, companies should act now as finding and implementing alternatives solution can take a while. 

  Can no data be exported outside the EU anymore ?

  Data can still be exported outside the EU if an adequate level of data protection is guaranteed. This is the case for some trading partners of the EU such as New Zealand, Japan, Switzerland, and Canada. They have been certified by the EU as having a comparable level of privacy protection and therefore demonstrate adequacy at a country level.

  Necessary data can still flow to countries like the US too. This is for example the case when someone books a hotel in the US or when sending an email to someone in the US. Backups for disaster recovery and most other reasons don’t qualify as necessary.

  In all other cases you can still send data to countries like the US if you get explicit and informed consent from a user. Meaning the user has been informed about all possible risks of sending the data to the US and who can access the data (for example the US government).

  How this affects Google Analytics and Google Tag Manager users

  If your website is using Google Analytics, the safest bet is to deactivate it immediately. Otherwise, you must ask for consent from everyone who visits your website and inform them that the data will be processed in the United States under less strict privacy laws and all associated risks. If you don’t, you could be liable to privacy law infringements and face being fined for not complying with the GDPR. This also applies to Google Tag Manager as it transfers the IP address to the US which is considered personal data under the GDPR.

  Consent needs to be :

  • Freely given (the user must have a choice to not give consent and be able to opt out at any time) 
  • Informed (you need to disclose who is processing the data, what data is processed, where the data will be stored and how to opt out) 
  • Specific (consent is only valid for the specific informed purpose) 
  • Unambiguous (for example pre-ticked boxes or similar aren’t allowed)

  

  If users don’t give you consent, you are not allowed to track them using Google Analytics or any other US based cloud solution.

  Update August 19, 2020

  A month after this ruling, over 100 complaints have been filed against websites for continuing to send data to the US via Google Analytics or Facebook, by the European privacy campaign group noyb. It’s clear Google and Facebook fall under US surveillance laws such as FISA 702 and the court clearly ruled these companies cannot rely on SCCs to transfer data to the US. Anyone still using Google Analytics is now at risk of facing fines and compensation damages. 

  How this affects Matomo users

  Our cloud servers are based in Germany.

  Matomo On-Premise users choose the location of their data themselves. If the servers are located in the EU nothing changes. If the servers are located outside the EU and the website targets EU users and tracks personal data, then you need to assess whether you are required to ask for tracking consent.

  If the data is stored inside the EU you can use Matomo without asking for any consent and you can continue tracking users even if they reject a consent screen which greatly increases the quality of your data.

  Want to avoid informing users about transferring their data to the US and all associated risks ?

  Try Matomo now for free ! No credit card required.

  Download Matomo

• Is Google Analytics Accurate ? 6 Important Caveats

  8 novembre 2022, par Erin

  It’s no secret that accurate website analytics is crucial for growing your online business — and Google Analytics is often the go-to source for insights. 

  But is Google Analytics data accurate ? Can you fully trust the provided numbers ? Here’s a detailed explainer.

  How Accurate is Google Analytics ? A Data-Backed Answer 

  When properly configured, Google Analytics (Universal Analytics and Google Analytics 4) is moderately accurate for global traffic collection. That said : Google Analytics doesn’t accurately report European traffic. 

  According to GDPR provisions, sites using GA products must display a cookie consent banner. This consent is required to collect third-party cookies — a tracking mechanism for identifying users across web properties.

  Google Analytics (GA) cannot process data about the user’s visit if they rejected cookies. In such cases, your analytics reports will be incomplete.

  Cookie rejection refers to visitors declining or blocking cookies from ever being collected by a specific website (or within their browser). It immediately affects the accuracy of all metrics in Google Analytics.

  Google Analytics is not accurate in locations where cookie consent to tracking is legally required. Most consumers don’t like disruptive cookie banners or harbour concerns about their privacy — and chose to reject tracking. 

  This leaves businesses with incomplete data, which, in turn, results in : 

  • Lower traffic counts as you’re not collecting 100% of the visitor data. 
  • Loss of website optimisation capabilities. You can’t make data-backed decisions due to inconsistent reporting

  For the above reasons, many companies now consider cookieless website tracking apps that don’t require consent screen displays. 

  Why is Google Analytics Not Accurate ? 6 Causes and Solutions 

  A high rejection rate of cookie banners is the main reason for inaccurate Google Analytics reporting. In addition, your account settings can also hinder Google Analytics’ accuracy.

  If your analytics data looks wonky, check for these six Google Analytics accuracy problems. 

  You Need to Secure Consent to Cookies Collection 

  To be GDPR-compliant, you must display a cookie consent screen to all European users. Likewise, other jurisdictions and industries require similar measures for user data collection. 

  This is a nuisance for many businesses since cookie rejection undermines their remarketing capabilities. Hence, some try to maximise cookie acceptance rates with dark patterns. For example : hide the option to decline tracking or make the texts too small. 

  

  Sadly, not everyone’s treating users with respect. A joint study by German and American researchers found that only 11% of US websites (from a sample of 5,000+) use GDPR-compliant cookie banners.

  As a result, many users aren’t aware of the background data collection to which they have (or have not) given consent. Another analysis of 200,000 cookies discovered that 70% of third-party marketing cookies transfer user data outside of the EU — a practice in breach of GDPR.

  Naturally, data regulators and activities are after this issue. In April 2022, Google was pressured to introduce a ‘reject all’ cookies button to all of its products (a €150 million compliance fine likely helped with that). Whereas, noyb has lodged over 220 complaints against individual websites with deceptive cookie consent banners.

  The takeaway ? Messing up with the cookie consent mechanism can get you in legal trouble. Don’t use sneaky banners as there are better ways to collect website traffic statistics. 

  Solution : Try Matomo GDPR-Friendly Analytics 

  Fill in the gaps in your traffic analytics with Matomo – a fully GDPR-compliant product that doesn’t rely on third-party cookies for tracking web visitors. Because of how it is designed, the French data protection authority (CNIL) confirmed that Matomo can be used to collect data without tracking consent.

  With Matomo, you can track website users without asking for cookie consent. And when you do, we supply you with a compact, compliant, non-disruptive cookie banner design. 

  Your Google Tag Isn’t Embedded Correctly 

  Google Tag (gtag.js) is a web tracking script that sends data to your Google Analytics, Google Ads and Google Marketing Platform.

  A corrupted gtag.js installation can create two accuracy issues : 

  • Duplicate page tracking 
  • Missing script installation 

  Is there a way to tell if you’re affected ?

  Yes. You may have duplicate scripts installed if you have a very low bounce rate on most website pages (below 15% – 20%). The above can happen if you’re using a WordPress GA plugin and additionally embed gtag.js straight in your website code. 

  A tell-tale sign of a missing script on some pages is low/no traffic stats. Google alerts you about this with a banner : 

  

  Solution : Use Available Troubleshooting Tools 

  Use Google Analytics Debugger extension to analyse pages with low bounce rates. Use the search bar to locate duplicate code-tracking elements. 

  Alternatively, you can use Google Tag Assistant for diagnosing snippet install and troubleshooting issues on individual pages. 

  If the above didn’t work, re-install your analytics script. 

  Machine Learning and Blended Data Are Applied

  Google Analytics 4 (GA4) relies a lot on machine learning and algorithmic predictions.

  By applying Google’s advanced machine learning models, the new Analytics can automatically alert you to significant trends in your data. [...] For example, it calculates churn probability so you can more efficiently invest in retaining customers.

  Vidhya Srinivasan, VP of Measurement, Analytics and Buying Platforms at Google

  On the surface, the above sounds exciting. In practice, Google’s application of predictive algorithms means you’re not seeing actual data. 

  To offer a variation of cookieless tracking, Google algorithms close the gaps in reporting by creating models (i.e., data-backed predictions) instead of reporting on actual user behaviours. Therefore, your GA4 numbers may not be accurate.

  For bigger web properties (think websites with 1+ million users), Google also relies on data sampling — a practice of extrapolating data analytics, based on a data subset, rather than the entire dataset. Once again, this can lead to inconsistencies in reporting with some numbers (e.g., average conversion rates) being inflated or downplayed. 

  Solution : Try an Alternative Website Analytics App 

  Unlike GA4, Matomo reports consist of 100% unsampled data. All the aggregated reporting you see is based on real user data (not guesstimation). 

  Moreover, you can migrate from Universal Analytics (UA) to Matomo without losing access to your historical records. GA4 doesn’t yet have any backward compatibility.

  Spam and Bot Traffic Isn’t Filtered Out 

  Surprise ! 42% of all Internet traffic is generated by bots, of which 27.7% are bad ones.

  Good bots (aka crawlers) do essential web “housekeeping” tasks like indexing web pages. Bad bots distribute malware, spam contact forms, hack user accounts and do other nasty stuff. 

  A lot of such spam bots are designed specifically for web analytics apps. The goal ? Flood your dashboard with bogus data in hopes of getting some return action from your side. 

  Types of Google Analytics Spam :

  • Referral spam. Spambots hijack the referrer, displayed in your GA referral traffic report to indicate a page visit from some random website (which didn’t actually occur). 
  • Event spam. Bots generate fake events with free language entries enticing you to visit their website. 
  • Ghost traffic spam. Malicious parties can also inject fake pageviews, containing URLs that they want you to click. 

  Obviously, such spammy entities distort the real website analytics numbers. 

  Solution : Set Up Bot/Spam Filters 

  Google Analytics 4 has automatic filtering of bot traffic enabled for all tracked Web and App properties. 

  But if you’re using Universal Analytics, you’ll have to manually configure spam filtering. First, create a new view and then set up a custom filter. Program it to exclude :

  • Filter Field : Request URI
  • Filter Pattern : Bot traffic URL

  Once you’ve configured everything, validate the results using Verify this filter feature. Then repeat the process for other fishy URLs, hostnames and IP addresses. 

  You Don’t Filter Internal Traffic 

  Your team(s) spend a lot of time on your website — and their sporadic behaviours can impair your traffic counts and other website metrics.

  To keep your data “employee-free”, exclude traffic from : 

  • Your corporate IPs addresses 
  • Known personal IPs of employees (for remote workers) 

  If you also have a separate stage version of your website, you should also filter out all traffic coming from it. Your developers, contractors and marketing people spend a lot of time fiddling with your website. This can cause a big discrepancy in average time on page and engagement rates. 

  Solution : Set Internal Traffic Filters 

  Google provides instructions for excluding internal traffic from your reports using IPv4/IPv6 address filters. 

  

  Session Timeouts After 30 Minutes 

  After 30 minutes of inactivity, Google Analytics tracking sessions start over. Inactivity means no recorded interaction hits during this time. 

  Session timeouts can be a problem for some websites as users often pin a tab to check it back later. Because of this, you can count the same user twice or more — and this leads to skewed reporting. 

  Solution : Programme Custom Timeout Sessions

  You can codify custom cookie timeout sessions with the following code snippets : 

  • _setSessionCookieTimeout. Set a custom new session cookie timeout in milliseconds.
  • _setVisitorCookieTimeout. Sets a custom Google Analytics visitor cookie expiration time frame in milliseconds.

  Final Thoughts 

  Thanks to its scale and longevity, Google Analytics has some strong sides, but its data accuracy isn’t 100% perfect.

  The inability to capture analytics data from users who don’t consent to cookie tracking and data sampling applied to bigger web properties may be a deal-breaker for your business. 

  If that’s the case, try Matomo — a GDPR-compliant, accurate web analytics solution. Start your 21-day free trial now. No credit card required.

  21 day free trial. No credit card required.

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• TCP connection refused with FFMPEG

  2 février 2017, par Samul

  OFFICIAL EDIT :

  I thank you so much for your help but I am still encountering problems.

  My ffserver.conf file is like this :

  # Port on which the server is listening. You must select a different
  
  # port from your standard HTTP web server if it is running on the same
  
  # computer.
  
  HTTPPort 8090
  
  
  
  # Address on which the server is bound. Only useful if you have
  
  # several network interfaces.
  
  HTTPBindAddress 0.0.0.0
  
  
  
  # Number of simultaneous HTTP connections that can be handled. It has
  
  # to be defined *before* the MaxClients parameter, since it defines the
  
  # MaxClients maximum limit.
  
  MaxHTTPConnections 2000
  
  
  
  # Number of simultaneous requests that can be handled. Since FFServer
  
  # is very fast, it is more likely that you will want to leave this high
  
  # and use MaxBandwidth, below.
  
  MaxClients 1000
  
  
  
  # This the maximum amount of kbit/sec that you are prepared to
  
  # consume when streaming to clients.
  
  MaxBandwidth 1000
  
  
  
  # Access log file (uses standard Apache log file format)
  
  # '-' is the standard output.
  
  CustomLog -
  
  
  
  ##################################################################
  
  # Definition of the live feeds. Each live feed contains one video
  
  # and/or audio sequence coming from an ffmpeg encoder or another
  
  # ffserver. This sequence may be encoded simultaneously with several
  
  # codecs at several resolutions.
  
  
  
  <feed>
  
  
  
  # You must use 'ffmpeg' to send a live feed to ffserver. In this
  
  # example, you can type:
  
  #
  
  # ffmpeg http://localhost:8090/feed1.ffm
  
  
  
  # ffserver can also do time shifting. It means that it can stream any
  
  # previously recorded live stream. The request should contain:
  
  # "http://xxxx?date=[YYYY-MM-DDT][[HH:]MM:]SS[.m...]".You must specify
  
  # a path where the feed is stored on disk. You also specify the
  
  # maximum size of the feed, where zero means unlimited. Default:
  
  # File=/tmp/feed_name.ffm FileMaxSize=5M
  
  File /tmp/feed1.ffm
  
  FileMaxSize 200K
  
  
  
  # You could specify
  
  # ReadOnlyFile /saved/specialvideo.ffm
  
  # This marks the file as readonly and it will not be deleted or updated.
  
  
  
  # Specify launch in order to start ffmpeg automatically.
  
  # First ffmpeg must be defined with an appropriate path if needed,
  
  # after that options can follow, but avoid adding the http:// field
  
  #Launch ffmpeg
  
  
  
  # Only allow connections from localhost to the feed.
  
  #ACL allow 127.0.0.1
  
  #ACL allow 189.34.0.158
  
  </feed>
  
  
  
  
  
  ##################################################################
  
  # Now you can define each stream which will be generated from the
  
  # original audio and video stream. Each format has a filename (here
  
  # 'test1.mpg'). FFServer will send this stream when answering a
  
  # request containing this filename.
  
  
  
  <stream>
  
  
  
  # coming from live feed 'feed1'
  
  Feed feed1.ffm
  
  
  
  # Format of the stream : you can choose among:
  
  # mpeg       : MPEG-1 multiplexed video and audio
  
  # mpegvideo  : only MPEG-1 video
  
  # mp2        : MPEG-2 audio (use AudioCodec to select layer 2 and 3 codec)
  
  # ogg        : Ogg format (Vorbis audio codec)
  
  # rm         : RealNetworks-compatible stream. Multiplexed audio and video.
  
  # ra         : RealNetworks-compatible stream. Audio only.
  
  # mpjpeg     : Multipart JPEG (works with Netscape without any plugin)
  
  # jpeg       : Generate a single JPEG image.
  
  # asf        : ASF compatible streaming (Windows Media Player format).
  
  # swf        : Macromedia Flash compatible stream
  
  # avi        : AVI format (MPEG-4 video, MPEG audio sound)
  
  Format mpeg
  
  
  
  # Bitrate for the audio stream. Codecs usually support only a few
  
  # different bitrates.
  
  AudioBitRate 32
  
  
  
  # Number of audio channels: 1 = mono, 2 = stereo
  
  AudioChannels 1
  
  
  
  # Sampling frequency for audio. When using low bitrates, you should
  
  # lower this frequency to 22050 or 11025. The supported frequencies
  
  # depend on the selected audio codec.
  
  AudioSampleRate 44100
  
  
  
  # Bitrate for the video stream
  
  VideoBitRate 64
  
  
  
  # Ratecontrol buffer size
  
  VideoBufferSize 40
  
  
  
  # Number of frames per second
  
  VideoFrameRate 3
  
  
  
  # Size of the video frame: WxH (default: 160x128)
  
  # The following abbreviations are defined: sqcif, qcif, cif, 4cif, qqvga,
  
  # qvga, vga, svga, xga, uxga, qxga, sxga, qsxga, hsxga, wvga, wxga, wsxga,
  
  # wuxga, woxga, wqsxga, wquxga, whsxga, whuxga, cga, ega, hd480, hd720,
  
  # hd1080
  
  VideoSize 160x128
  
  
  
  # Transmit only intra frames (useful for low bitrates, but kills frame rate).
  
  #VideoIntraOnly
  
  
  
  # If non-intra only, an intra frame is transmitted every VideoGopSize
  
  # frames. Video synchronization can only begin at an intra frame.
  
  VideoGopSize 12
  
  
  
  # More MPEG-4 parameters
  
  # VideoHighQuality
  
  # Video4MotionVector
  
  
  
  # Choose your codecs:
  
  #AudioCodec mp2
  
  #VideoCodec mpeg1video
  
  
  
  # Suppress audio
  
  #NoAudio
  
  
  
  # Suppress video
  
  #NoVideo
  
  
  
  #VideoQMin 3
  
  #VideoQMax 31
  
  
  
  # Set this to the number of seconds backwards in time to start. Note that
  
  # most players will buffer 5-10 seconds of video, and also you need to allow
  
  # for a keyframe to appear in the data stream.
  
  #Preroll 15
  
  
  
  # ACL:
  
  
  
  # You can allow ranges of addresses (or single addresses)
  
  #ACL ALLOW <first address="address"> <last address="address">
  
  
  
  # You can deny ranges of addresses (or single addresses)
  
  #ACL DENY <first address="address"> <last address="address">
  
  
  
  # You can repeat the ACL allow/deny as often as you like. It is on a per
  
  # stream basis. The first match defines the action. If there are no matches,
  
  # then the default is the inverse of the last ACL statement.
  
  #
  
  # Thus 'ACL allow localhost' only allows access from localhost.
  
  # 'ACL deny 1.0.0.0 1.255.255.255' would deny the whole of network 1 and
  
  # allow everybody else.
  
  
  
  </last></first></last></first></stream>
  
  
  
  
  
  ##################################################################
  
  # Example streams
  
  
  
  
  
  # Multipart JPEG
  
  
  
  #<stream>
  
  #Feed feed1.ffm
  
  #Format mpjpeg
  
  #VideoFrameRate 2
  
  #VideoIntraOnly
  
  #NoAudio
  
  #Strict -1
  
  #</stream>
  
  
  
  
  
  # Single JPEG
  
  
  
  #<stream>
  
  #Feed feed1.ffm
  
  #Format jpeg
  
  #VideoFrameRate 2
  
  #VideoIntraOnly
  
  ##VideoSize 352x240
  
  #NoAudio
  
  #Strict -1
  
  #</stream>
  
  
  
  
  
  # Flash
  
  
  
  #<stream>
  
  #Feed feed1.ffm
  
  #Format swf
  
  #VideoFrameRate 2
  
  #VideoIntraOnly
  
  #NoAudio
  
  #</stream>
  
  
  
  
  
  # ASF compatible
  
  
  
  <stream>
  
  Feed feed1.ffm
  
  Format asf
  
  VideoFrameRate 15
  
  VideoSize 352x240
  
  VideoBitRate 256
  
  VideoBufferSize 40
  
  VideoGopSize 30
  
  AudioBitRate 64
  
  StartSendOnKey
  
  </stream>
  
  
  
  
  
  # MP3 audio
  
  
  
  #<stream>
  
  #Feed feed1.ffm
  
  #Format mp2
  
  #AudioCodec mp3
  
  #AudioBitRate 64
  
  #AudioChannels 1
  
  #AudioSampleRate 44100
  
  #NoVideo
  
  #</stream>
  
  
  
  
  
  # Ogg Vorbis audio
  
  
  
  #<stream>
  
  #Feed feed1.ffm
  
  #Metadata title "Stream title"
  
  #AudioBitRate 64
  
  #AudioChannels 2
  
  #AudioSampleRate 44100
  
  #NoVideo
  
  #</stream>
  
  
  
  
  
  # Real with audio only at 32 kbits
  
  
  
  #<stream>
  
  #Feed feed1.ffm
  
  #Format rm
  
  #AudioBitRate 32
  
  #NoVideo
  
  #NoAudio
  
  #</stream>
  
  
  
  
  
  # Real with audio and video at 64 kbits
  
  
  
  #<stream>
  
  #Feed feed1.ffm
  
  #Format rm
  
  #AudioBitRate 32
  
  #VideoBitRate 128
  
  #VideoFrameRate 25
  
  #VideoGopSize 25
  
  #NoAudio
  
  #</stream>
  
  
  
  
  
  ##################################################################
  
  # A stream coming from a file: you only need to set the input
  
  # filename and optionally a new format. Supported conversions:
  
  #    AVI -> ASF
  
  
  
  #<stream>
  
  #File "/usr/local/httpd/htdocs/tlive.rm"
  
  #NoAudio
  
  #</stream>
  
  
  
  #<stream>
  
  #File "/usr/local/httpd/htdocs/test.asf"
  
  #NoAudio
  
  #Metadata author "Me"
  
  #Metadata copyright "Super MegaCorp"
  
  #Metadata title "Test stream from disk"
  
  #Metadata comment "Test comment"
  
  #</stream>
  
  
  
  
  
  ##################################################################
  
  # RTSP examples
  
  #
  
  # You can access this stream with the RTSP URL:
  
  #   rtsp://localhost:5454/test1-rtsp.mpg
  
  #
  
  # A non-standard RTSP redirector is also created. Its URL is:
  
  #   http://localhost:8090/test1-rtsp.rtsp
  
  
  
  #<stream>
  
  #Format rtp
  
  #File "/usr/local/httpd/htdocs/test1.mpg"
  
  #</stream>
  
  
  
  
  
  # Transcode an incoming live feed to another live feed,
  
  # using libx264 and video presets
  
  
  
  #<stream>
  
  #Format rtp
  
  #Feed feed1.ffm
  
  #VideoCodec libx264
  
  #VideoFrameRate 24
  
  #VideoBitRate 100
  
  #VideoSize 480x272
  
  #AVPresetVideo default
  
  #AVPresetVideo baseline
  
  #AVOptionVideo flags +global_header
  
  #
  
  #AudioCodec libfaac
  
  #AudioBitRate 32
  
  #AudioChannels 2
  
  #AudioSampleRate 22050
  
  #AVOptionAudio flags +global_header
  
  #</stream>
  
  
  
  ##################################################################
  
  # SDP/multicast examples
  
  #
  
  # If you want to send your stream in multicast, you must set the
  
  # multicast address with MulticastAddress. The port and the TTL can
  
  # also be set.
  
  #
  
  # An SDP file is automatically generated by ffserver by adding the
  
  # 'sdp' extension to the stream name (here
  
  # http://localhost:8090/test1-sdp.sdp). You should usually give this
  
  # file to your player to play the stream.
  
  #
  
  # The 'NoLoop' option can be used to avoid looping when the stream is
  
  # terminated.
  
  
  
  #<stream>
  
  #Format rtp
  
  #File "/usr/local/httpd/htdocs/test1.mpg"
  
  #MulticastAddress 224.124.0.1
  
  #MulticastPort 5000
  
  #MulticastTTL 16
  
  #NoLoop
  
  #</stream>
  
  
  
  
  
  ##################################################################
  
  # Special streams
  
  
  
  # Server status
  
  
  
  <stream>
  
  Format status
  
  
  
  # Only allow local people to get the status
  
  ACL allow localhost
  
  ACL allow 192.168.0.0 192.168.255.255
  
  
  
  #FaviconURL http://pond1.gladstonefamily.net:8080/favicon.ico
  
  </stream>
  
  
  
  
  
  # Redirect index.html to the appropriate site
  
  
  
  <redirect>
  
  URL http://www.ffmpeg.org/
  
  </redirect>

  I started my server and executed :

  ffserver -d -f /usr/share/doc/ffmpeg-2.6.8/ffserver.conf

  No error message and everything looks fine.

  After that I execute this (in your answer, I think you forgot the port number) :

  ffmpeg -i "rtsp://200.180.90.95:554/onvif1" -r 25 -s 640x480 -c:v libx264 -flags +global_header -f flv "http://45.79.207.38:8090/feed1.ffm"

  Then I get this log :

    libavutil      54. 20.100 / 54. 20.100
  
    libavcodec     56. 26.100 / 56. 26.100
  
    libavformat    56. 25.101 / 56. 25.101
  
    libavdevice    56.  4.100 / 56.  4.100
  
    libavfilter     5. 11.102 /  5. 11.102
  
    libavresample   2.  1.  0 /  2.  1.  0
  
    libswscale      3.  1.101 /  3.  1.101
  
    libswresample   1.  1.100 /  1.  1.100
  
    libpostproc    53.  3.100 / 53.  3.100
  
  [h264 @ 0x1a23580] RTP: missed 1 packets
  
  [pcm_alaw @ 0x1a24360] RTP: missed 2 packets
  
  [h264 @ 0x1a23580] RTP: missed 1 packets
  
  Invalid UE golomb code
  
  [h264 @ 0x1a23580] cbp too large (3199971767) at 76 33
  
  [h264 @ 0x1a23580] error while decoding MB 76 33
  
  [h264 @ 0x1a23580] Cannot use next picture in error concealment
  
  [h264 @ 0x1a23580] concealing 933 DC, 933 AC, 933 MV errors in P frame
  
  [h264 @ 0x1a23580] RTP: missed 1 packets
  
  [h264 @ 0x1a23580] cbp too large (62) at 50 24
  
  [h264 @ 0x1a23580] error while decoding MB 50 24
  
  [h264 @ 0x1a23580] Cannot use next picture in error concealment
  
  [h264 @ 0x1a23580] concealing 1679 DC, 1679 AC, 1679 MV errors in P frame
  
  [h264 @ 0x1a23580] RTP: missed 2 packets
  
  [h264 @ 0x1a23580] Cannot use next picture in error concealment
  
  [h264 @ 0x1a23580] concealing 1965 DC, 1965 AC, 1965 MV errors in P frame
  
  [pcm_alaw @ 0x1a24360] RTP: missed 1 packets
  
      Last message repeated 1 times
  
  [h264 @ 0x1a23580] RTP: missed 3 packets
  
  [h264 @ 0x1a23580] mb_type 49 in P slice too large at 74 25
  
  [h264 @ 0x1a23580] error while decoding MB 74 25
  
  [h264 @ 0x1a23580] Cannot use next picture in error concealment
  
  [h264 @ 0x1a23580] concealing 1575 DC, 1575 AC, 1575 MV errors in P frame
  
  [h264 @ 0x1a23580] RTP: missed 2 packets
  
  [h264 @ 0x1a23580] P sub_mb_type 29 out of range at 30 26
  
  [h264 @ 0x1a23580] error while decoding MB 30 26
  
  [h264 @ 0x1a23580] Cannot use next picture in error concealment
  
  [h264 @ 0x1a23580] concealing 1539 DC, 1539 AC, 1539 MV errors in P frame
  
  [h264 @ 0x1a23580] RTP: missed 1 packets
  
  [h264 @ 0x1a23580] out of range intra chroma pred mode at 72 29
  
  [h264 @ 0x1a23580] error while decoding MB 72 29
  
  [h264 @ 0x1a23580] Cannot use next picture in error concealment
  
  [h264 @ 0x1a23580] concealing 1257 DC, 1257 AC, 1257 MV errors in P frame
  
  [h264 @ 0x1a23580] RTP: missed 3 packets
  
  [h264 @ 0x1a23580] negative number of zero coeffs at 48 5
  
  [h264 @ 0x1a23580] error while decoding MB 48 5
  
  [h264 @ 0x1a23580] Cannot use next picture in error concealment
  
  [h264 @ 0x1a23580] concealing 3201 DC, 3201 AC, 3201 MV errors in P frame
  
  [pcm_alaw @ 0x1a24360] RTP: missed 1 packets
  
  [rtsp @ 0x1a20ee0] decoding for stream 0 failed
  
  Guessed Channel Layout for  Input Stream #0.1 : mono
  
  Input #0, rtsp, from 'rtsp://200.180.90.95:554/onvif1':
  
    Metadata:
  
      title           : H.264 Video, RtspServer_0.0.0.2
  
    Duration: N/A, start: 0.000000, bitrate: N/A
  
      Stream #0:0: Video: h264 (Baseline), yuv420p, 1280x720, 90k tbr, 90k tbn, 180k tbc
  
      Stream #0:1: Audio: pcm_alaw, 8000 Hz, 1 channels, s16, 64 kb/s
  
  [libx264 @ 0x1b728a0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX AVX2 FMA3 LZCNT BMI2
  
  [libx264 @ 0x1b728a0] profile High, level 3.0
  
  [libx264 @ 0x1b728a0] 264 - core 142 r2495 6a301b6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2014 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=1 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
  
  [flv @ 0x1a66300] FLV does not support sample rate 8000, choose from (44100, 22050, 11025)
  
  [flv @ 0x1a66300] Audio codec mp3 not compatible with flv
  
  Output #0, flv, to 'http://45.79.207.38:8090/feed1.ffm':
  
    Metadata:
  
      title           : H.264 Video, RtspServer_0.0.0.2
  
      encoder         : Lavf56.25.101
  
      Stream #0:0: Video: h264 (libx264) ([7][0][0][0] / 0x0007), yuv420p, 640x480, q=-1--1, 25 fps, 1k tbn, 25 tbc
  
      Metadata:
  
        encoder         : Lavc56.26.100 libx264
  
      Stream #0:1: Audio: mp3 (libmp3lame) ([2][0][0][0] / 0x0002), 8000 Hz, mono, s16p
  
      Metadata:
  
        encoder         : Lavc56.26.100 libmp3lame
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
  
    Stream #0:1 -> #0:1 (pcm_alaw (native) -> mp3 (libmp3lame))
  
  Could not write header for output file #0 (incorrect codec parameters ?): Function not implemented

  I am doing this in a clean install of CENTOS, no customization. Could you please helpe me ?