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  • Increasing Website Traffic : 11 Tips To Attract Visitors

    25 août 2023, par Erin — Analytics Tips, Marketing

    For your website and business to succeed, you need to focus on building traffic.

    However, you aren’t the only one with that goal in mind.

    There are millions of other websites trying to increase their traffic as well. With that much competition, it’s important to make sure your website stands out. Accomplishing that can require a great deal of strategy.

    We’ve compiled a list of tips to help you develop a solid plan for increasing website traffic, to expand your reach, grow your audience and boost customer engagement levels — creating more opportunities for your business.Using these tips, more visitors will find their way to your website — meaning more customers for your business.

    Why is website traffic important ?

    Website traffic is essentially the number of people visiting your website. When someone lands on your site, they’re considered a visitor and increase your website traffic. 

    When your website traffic is high, you’ll get more clicks, customer interactions and brand engagement. As a result, search engines will have a positive impression of your website and send more people there, meaning even more people will see your content and have the opportunity to buy your product.

    When using a website for your business or any other venture, tracking your website traffic using a web analytics solution like Matomo is critical.

    A screenshot of Matomo's Visits Dashboard

    With over 200 million actively maintained and visited websites in 2023, it’s important to make sure yours stands out if you want to increase your website traffic and grow your online presence. 

    11 tips for increasing website traffic

    Here are 11 tips to increase your organic traffic and elevate your business.

    1. Perfect your SEO

    Optimising your website to show up in search engine results shouldn’t be overlooked, as 63% of consumers start researching a product by using a search engine. Search engine optimisation, or SEO, increases the visibility and discoverability of your website on search engine results pages (SERPs). SEO targets organic searches, which means it doesn’t add to social media traffic, direct traffic or referrals, and it isn’t paid traffic.

    SEO is number one on this list for a reason — most of these tips will directly, or indirectly, improve your SEO efforts. 

    Steps to improve your search engine optimisation can include :

    • Using relevant keywords that are incorporated naturally throughout your content
    • Using a web analytics tool like Matomo, with its search keyword feature, to gain insights and identify opportunities for improvement
    • Using descriptive meta titles and meta descriptions
    • Link to your own content internally with descriptive anchor tags, and make sure unused pages are removed 
    • Keeping your target audience in mind and marketing your content toward them
    • Making sure your website’s structure is optimised to be mobile-friendly, fast and responsive — such as with Matomo’s SEO Web Vitals feature, which monitors key metrics like your website’s page speed and loading performance, pivotal for optimising search engine results

    2. Research the competition

    It’s important to remember that while your business might be unique, it’s likely not the only one in its field. Thousands of other websites from other companies are also looking to improve their website traffic and increase sales, and you have to outcompete them.

    Looking at what your competitors are doing is vital from a strategic perspective. You can see what their content looks like, how they’re framing their specific use cases and what target audience they’re marketing toward.

    Knowing what your competitors are doing can help you find ways to improve your content and make it unique. Are your competitors missing a specific use case or neglecting a particular audience ? Fill in their content gaps on your website, and pick up the traffic they’re missing.

    3. Create high-quality, evergreen content

    If your content is high-quality, visitors will read more of it and stay longer on your site. This obviously increases the likelihood they will purchase your product or service, and it tells search engines that your website is a good answer for a search query.

    High-quality content will also be shared more often, leading to even more website traffic. You should aim to develop content that doesn’t lose relevance over time (aka “evergreen content”). If you include time-sensitive data, statistics or content in your website, blog posts or articles, it’ll be relevant only around that time frame. 

    While this month’s viral content is highly popular, it likely won’t be relevant in a few months. Instead, if you ensure your content is evergreen, it will continue to get engagement long after it’s published.

    4. Implement creative visuals

    It’s important to have engaging, fun and interactive media on your website to keep visitors on your site longer. Like good content, interesting visuals (and the resulting longer visits) can translate to more purchases (and favourable assessments by search engines).

    A screenshot of Matomo's Media Dashboard

    Media can take the form of videos, infographics, images or web graphics. 

    With Matomo’s Media Analytics feature, you can automatically gain even deeper insights into how your visitors engage with your media content, enhancing your understanding of their preferences and behaviours.

    If you have interesting, captivating visuals, visitors will be more likely to stay on your website longer and see what you have to offer. Without captivating visuals to break up walls of text, you’ll likely find visitors will tend to leave your site in favour of something more engaging.

    Just make sure you design your visuals with your target audience in mind. Flashy, fun graphics might not be a good fit for a professional audience, but they’re great for younger audiences. If you get your audience correct, they may also share the images with others. Depending on your business, that might be a useful infographic shared across LinkedIn, or a picture of a clever use case shared on Pinterest. 

    As a bonus, if other companies use your graphics on their websites, that earns you some backlinks — more on those in a bit.

    5. Create a comprehensive knowledge base

    Having a knowledge base is critical to making sure your service or product is well understood and well documented, especially in the tech industry. If a visitor or potential customer is interested in your product or service, they need to know exactly what it will do for them and that they have a good foundation of support in case they need help. A knowledge base is also a good place for internal links (more on those in a bit).

    Visitors can also use your knowledge base as a source of information, and if they cite you as a source, that’ll lead right back to more website traffic for you (see our backlinks section for more about this). If your website is a good source of information, visitors will come back to it again and again.

    6. Use social media often and consistently

    Digital marketing nowadays heavily relies on social media platforms. Having an online presence no longer means just having a website — if you’re not using social media sites, you’re missing out on a huge portion of potential visitors and customers.

    A strong social media presence with profiles on platforms like Facebook, X (formerly Twitter), Instagram or LinkedIn can be invaluable for increasing your website traffic. Visitors to your social media profiles will click on regularly shared content, read your blog posts and possibly become customers.

    Participating in relevant communities and networking with other companies in groups in your industry can also be invaluable. If you participate in online communities and forums for your niche, you can offer insight, answer questions and plug your website. All of this will increase your clicks, which will increase your website traffic.

    If you’ve managed to build your own community on social media, make sure to keep them engaged ! Implementing your own forum, hosting live chats and Q&As, offering helpful and engaging content will make sure visitors keep coming back and spreading the word. 

    7. Use email marketing or newsletters

    Having an email list and sending marketing emails or newsletters is a great way to increase website traffic. You can offer exclusive content, and promise discounts or resources to your subscribers for when they return to your website. This will help keep your loyal audience engaged, entice new customers to subscribe to your newsletter, give you a chance to upsell to people who have already expressed an interest in your product and potentially convert curious subscribers into customers.

    8. Make sure your content can earn backlinks

    A backlink is when a website links to a different website — ideally using relevant anchor text — and it’s an effective strategy for increasing referral traffic, that is, visitors who get to your website via a link on another website. The more backlinks you have, the more your referral traffic will increase. Social share buttons make it easy for people to cite you on social platforms, too. 

    We’ve already talked about making expert content that’s link-worthy, but also make sure that you’re creating linkable assets (like those interesting visuals mentioned earlier), building relationships with other sites that will link to you (like by inviting an expert or influencer to write on your page and promote it from their platform, or by writing your own guest content for their sites) and sharing your own content. All of this can help increase your referral traffic, particularly when you’re linked from websites with a higher domain authority than you have.

    You can also make sure your website is listed in online directories. Some sites will do interviews and roundups, as well — these are great opportunities to increase your backlinks.

    9. Optimise your CTR

    Click-through rate, or CTR, is the percentage of users who click on specific links to your website. A high CTR means your visitors are following a link — whether in an advertisement, a search result or a social media post — and a low CTR means they’re passing it by. Optimising your CTR can greatly improve your website traffic.

    To improve CTR, identify successful elements such as copy, imagery, and offers in your ads, enabling you to amplify effective elements and minimise less impactful ones.

    10. Ensure your website is responsive and mobile-friendly

    If a visitor is frustrated by your site being slow, laggy, clunky or not mobile-friendly, they won’t stay long. That doesn’t look good to search engines if that’s how your visitors got there. Your website needs to be clean, responsive, user-friendly and accessible.

    If your website is slow, try increasing your website’s performance by :

    • Optimising images : Reduce the size of images and compress them for faster load times. Opt for JPEG format for photos and PNG format for graphics. 
    • Limit the use of plugins : If you are using a CMS like WordPress, consider removing plugins that are unnecessary or not essential.
    • Embrace lazy loading : To further enhance site speed and reduce initial load times, set up your site to load images and content only as visitors scroll down. Prioritising the content and images at the top of the page makes the site feel faster. Some CMS platforms will offer this option, but others may require a bit of coding to set this up. 

    Many people rely on their phones to research services or products, especially if they’re doing a quick search. Make sure your website is friendly to mobile users. It should scale vertically and scroll smoothly so users aren’t frustrated when using your site. They should be able to find the info they need immediately without any technical issues.

    11. Track your website’s metrics

    As you test out each of these strategies to increase your web traffic, don’t forget to closely analyse the performance of your site. To truly understand the impact of your efforts, you’ll need a reliable web analytics solution. Think of a dependable web analytics solution as your website’s GPS. Without it, you’d be lost, unsure of your direction and missing out on valuable insights to steer your growth.

    Matomo is a powerful web analytics tool that can help you do just that by providing information on your site visitors and campaign performance, complemented by an array of behavioural analytics features that delve into user interactions. Among these, our heatmap feature stands out, enabling greater insights into user interactions and optimisation of your site’s effectiveness.

    Screenshot of Matomo heatmap feature

    Google Analytics is another powerful analytics option, though it has challenges with data accuracy ; there are multiple other web analytics solutions as well.

    Regardless of what web analytics solution you choose, the process of analysing your website metrics is incredibly important for identifying areas of improvement to increase website traffic.

    Increasing your web traffic is a process

    Increasing website traffic isn’t something you accomplish overnight. It’s a comprehensive, ongoing endeavour that requires constant analysis and fine-tuning. 

    By applying these tips to create consistent, high-quality content that gets spotlighted on search engines, shared on social media and returned to again and again, you’ll see a steady stream of increased traffic. 

    With Matomo, you can understand your visitor behaviour to see what works and what doesn’t as you work to increase your website traffic. Get your free 21-day trial now. No credit card required.

  • A Guide to GDPR Sensitive Personal Data

    13 mai 2024, par Erin

    The General Data Protection Regulation (GDPR) is one of the world’s most stringent data protection laws. It provides a legal framework for collection and processing of the personal data of EU individuals.

    The GDPR distinguishes between “special categories of personal data” (also referred to as “sensitive”) and other personal data and imposes stricter requirements on collection and processing of sensitive data. Understanding these differences will help your company comply with the requirements and avoid heavy penalties.

    In this article, we’ll explain what personal data is considered “sensitive” according to the GDPR. We’ll also examine how a web analytics solution like Matomo can help you maintain compliance.

    What is sensitive personal data ?

    The following categories of data are treated as sensitive :

      1. Personal data revealing :
        • Racial or ethnic origin ;
        • Political opinions ;
        • Religious or philosophical beliefs ;
        • Trade union membership ;
      2. Genetic and biometric data ;
      3. Data concerning a person’s :
        • Health ; or
        • Sex life or sexual orientation.
    Examples of GDPR Sensitive Personal Data

    Sensitive vs. non-sensitive personal data : What’s the difference ?

    While both categories include information about an individual, sensitive data is seen as more private, or requiring a greater protection. 

    Sensitive data often carries a higher degree of risk and harm to the data subject, if the data is exposed. For example, a data breach exposing health records could lead to discrimination for the individuals involved. An insurance company could use the information to increase premiums or deny coverage. 

    In contrast, personal data like name or gender is considered less sensitive because it doesn’t carry the same degree of harm as sensitive data. 

    Unauthorised access to someone’s name alone is less likely to harm them or infringe on their fundamental rights and freedoms than an unauthorised access to their health records or biometric data. Note that financial information (e.g. credit card details) does not fall into the special categories of data.

    Table displaying different sensitive data vs non-sensitive data

    Legality of processing

    Under the GDPR, both sensitive and nonsensitive personal data are protected. However, the rules and conditions for processing sensitive data are more stringent.

    Article 6 deals with processing of non-sensitive data and it states that processing is lawful if one of the six lawful bases for processing applies. 

    In contrast, Art. 9 of the GDPR states that processing of sensitive data is prohibited as a rule, but provides ten exceptions. 

    It is important to note that the lawful bases in Art. 6 are not the same as exceptions in Art. 9. For example, while performance of a contract or legitimate interest of the controller are a lawful basis for processing non-sensitive personal data, they are not included as an exception in Art. 9. What follows is that controllers are not permitted to process sensitive data on the basis of contract or legitimate interest. 

    The exceptions where processing of sensitive personal data is permitted (subject to additional requirements) are : 

    • Explicit consent : The individual has given explicit consent to processing their sensitive personal data for specified purpose(s), except where an EU member state prohibits such consent. See below for more information about explicit consent. 
    • Employment, social security or social protection : Processing sensitive data is necessary to perform tasks under employment, social security or social protection law.
    • Vital interests : Processing sensitive data is necessary to protect the interests of a data subject or if the individual is physically or legally incapable of consenting. 
    • Non-for-profit bodies : Foundations, associations or nonprofits with a political, philosophical, religious or trade union aim may process the sensitive data of their members or those they are in regular contact with, in connection with their purposes (and no disclosure of the data is permitted outside the organisation, without the data subject’s consent).
    • Made public : In some cases, it may be permissible to process the sensitive data of a data subject if the individual has already made it public and accessible. 
    • Legal claims : Processing sensitive data is necessary to establish, exercise or defend legal claims, including legal or in court proceedings.
    • Public interest : Processing is necessary for reasons of substantial public interest, like preventing unlawful acts or protecting the public.
    • Health or social care : Processing special category data is necessary for : preventative or occupational medicine, providing health and social care, medical diagnosis or managing healthcare systems.
    • Public health : It is permissible to process sensitive data for public health reasons, like protecting against cross-border threats to health or ensuring the safety of medicinal products or medical devices. 
    • Archiving, research and statistics : You may process sensitive data if it’s done for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes.

    In addition, you must adhere to all data handling requirements set by the GDPR.

    Important : Note that for any data sent that you are processing, you always need to identify a lawful basis under Art. 6. In addition, if the data sent contains sensitive data, you must comply with Art. 9.

    Explicit consent

    While consent is a valid lawful basis for processing non-sensitive personal data, controllers are permitted to process sensitive data only with an “explicit consent” of the data subject.

    The GDPR does not define “explicit” consent, but it is accepted that it must meet all Art. 7 conditions for consent, at a higher threshold. To be “explicit” a consent requires a clear statement (oral or written) of the data subject. Consent inferred from the data subject’s actions does not meet the threshold. 

    The controller must retain records of the explicit consent and provide appropriate consent withdrawal method to allow the data subject to exercise their rights.

    Examples of compliant and non-compliant sensitive data processing

    Here are examples of when you can and can’t process sensitive data :

    • When you can process sensitive data : A doctor logs sensitive data about a patient, including their name, symptoms and medicine prescribed. The hospital can process this data to provide appropriate medical care to their patients. An IoT device and software manufacturer processes their customers’ health data based on explicit consent of each customer. 
    • When you can’t process sensitive data : One example is when you don’t have explicit consent from a data subject. Another is when there’s no lawful basis for processing it or you are collecting personal data you simply do not need. For example, you don’t need your customer’s ethnic origin to fulfil an online order.

    Other implications of processing sensitive data

    If you process sensitive data, especially on a large scale, GDPR imposes additional requirements, such as having Data Privacy Impact Assessments, appointing Data Protection Officers and EU Representatives, if you are a controller based outside the EU.

    Penalties for GDPR non-compliance

    Mishandling sensitive data (or processing it when you’re not allowed to) can result in huge penalties. There are two tiers of GDPR fines :

    • €10 million or 2% of a company’s annual revenue for less severe infringements
    • €20 million or 4% of a company’s annual revenue for more severe infringements

    In the first half of 2023 alone, fines imposed in the EU due to GDPR violations exceeded €1.6 billion, up from €73 million in 2019.

    Examples of high-profile violations in the last few years include :

    • Amazon : The Luxembourg National Commission fined the retail giant with a massive $887 million fine in 2021 for not processing personal data per the GDPR. 
    • Google : The National Data Protection Commission (CNIL) fined Google €50 million for not getting proper consent to display personalised ads.
    • H&M : The Hamburg Commissioner for Data Protection and Freedom of Information hit the multinational clothing company with a €35.3 million fine in 2020 for unlawfully gathering and storing employees’ data in its service centre.

    One of the criteria that affects the severity of a fine is “data category” — the type of personal data being processed. Companies need to take extra precautions with sensitive data, or they risk receiving more severe penalties.

    What’s more, GDPR violations can negatively affect your brand’s reputation and cause you to lose business opportunities from consumers concerned about your data practices. 76% of consumers indicated they wouldn’t buy from companies they don’t trust with their personal data.

    Organisations should lay out their data practices in simple terms and make this information easily accessible so customers know how their data is being handled.

    Get started with GDPR-compliant web analytics

    The GDPR offers a framework for securing and protecting personal data. But it also distinguishes between sensitive and non-sensitive data. Understanding these differences and applying the lawful basis for processing this data type will help ensure compliance.

    Looking for a GDPR-compliant web analytics solution ?

    At Matomo, we take data privacy seriously. 

    Our platform ensures 100% data ownership, putting you in complete control of your data. Unlike other web analytics solutions, your data remains solely yours and isn’t sold or auctioned off to advertisers. 

    Additionally, with Matomo, you can be confident in the accuracy of the insights you receive, as we provide reliable, unsampled data.

    Matomo also fully complies with GDPR and other data privacy laws like CCPA, LGPD and more.

    Start your 21-day free trial today ; no credit card required. 

    Disclaimer

    We are not lawyers and don’t claim to be. The information provided here is to help give an introduction to GDPR. We encourage every business and website to take data privacy seriously and discuss these issues with your lawyer if you have any concerns.

  • Stream ffmpeg transcoding result to S3

    7 juin 2019, par mabead

    I want to transcode a large file using FFMPEG and store the result directly on AWS S3. This will be done inside of an AWS Lambda that has limited tmp space so I can’t store the transcoding result locally and then upload it to S3 in a second step. I won’t have enough tmp space. I therefore want to store the FFMPEG output directly on S3.

    I therefore created a S3 pre-signed url that allows ’PUT’ :

    var outputPath = s3Client.GetPreSignedURL(new Amazon.S3.Model.GetPreSignedUrlRequest
    {
       BucketName = "my-bucket",
       Expires = DateTime.UtcNow.AddMinutes(5),
       Key = "output.mp3",
       Verb = HttpVerb.PUT,
    });

    I then called ffmpeg with the resulting pre-signed url :

    ffmpeg -i C:\input.wav -y -vn -ar 44100 -ac 2 -ab 192k -f mp3 https://my-bucket.s3.amazonaws.com/output.mp3?AWSAccessKeyId=AKIAJDSGJWM63VQEXHIQ&Expires=1550427237&Signature=%2BE8Wc%2F%2FQYrvGxzc%2FgXnsvauKnac%3D

    FFMPEG returns an exit code of 1 with the following output :

    ffmpeg version N-93120-ga84af760b8 Copyright (c) 2000-2019 the FFmpeg developers
     built with gcc 8.2.1 (GCC) 20190212
     configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
     libavutil      56. 26.100 / 56. 26.100
     libavcodec     58. 47.100 / 58. 47.100
     libavformat    58. 26.101 / 58. 26.101
     libavdevice    58.  6.101 / 58.  6.101
     libavfilter     7. 48.100 /  7. 48.100
     libswscale      5.  4.100 /  5.  4.100
     libswresample   3.  4.100 /  3.  4.100
     libpostproc    55.  4.100 / 55.  4.100
    Guessed Channel Layout for Input Stream #0.0 : stereo
    Input #0, wav, from 'C:\input.wav':
     Duration: 00:04:16.72, bitrate: 3072 kb/s
       Stream #0:0: Audio: pcm_s32le ([1][0][0][0] / 0x0001), 48000 Hz, stereo, s32, 3072 kb/s
    Stream mapping:
     Stream #0:0 -> #0:0 (pcm_s32le (native) -> mp3 (libmp3lame))
    Press [q] to stop, [?] for help
    Output #0, mp3, to 'https://my-bucket.s3.amazonaws.com/output.mp3?AWSAccessKeyId=AKIAJDSGJWM63VQEXHIQ&Expires=1550427237&Signature=%2BE8Wc%2F%2FQYrvGxzc%2FgXnsvauKnac%3D':
     Metadata:
       TSSE            : Lavf58.26.101
       Stream #0:0: Audio: mp3 (libmp3lame), 44100 Hz, stereo, s32p, 192 kb/s
       Metadata:
         encoder         : Lavc58.47.100 libmp3lame
    size=     577kB time=00:00:24.58 bitrate= 192.2kbits/s speed=49.1x    
    size=    1109kB time=00:00:47.28 bitrate= 192.1kbits/s speed=47.2x    
    [tls @ 000001d73d786b00] Error in the push function.
    av_interleaved_write_frame(): I/O error
    Error writing trailer of https://my-bucket.s3.amazonaws.com/output.mp3?AWSAccessKeyId=AKIAJDSGJWM63VQEXHIQ&Expires=1550427237&Signature=%2BE8Wc%2F%2FQYrvGxzc%2FgXnsvauKnac%3D: I/O error
    size=    1143kB time=00:00:48.77 bitrate= 192.0kbits/s speed=  47x    
    video:0kB audio:1144kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
    [tls @ 000001d73d786b00] The specified session has been invalidated for some reason.
    [tls @ 000001d73d786b00] Error in the pull function.
    [https @ 000001d73d784fc0] URL read error:  -5
    Conversion failed!

    As you can see, I have a URL read error. This is a little surprising to me since I want to output to this url and not read it.

    Anybody know how I can store directly my FFMPEG output directly to S3 without having to store it locally first ?

    Edit 1
    I then tried to use the -method PUT parameter and use http instead of https to remove TLS from the equation. Here’s the output that I got when running ffmpeg with the -v trace option.

    ffmpeg version N-93120-ga84af760b8 Copyright (c) 2000-2019 the FFmpeg developers
     built with gcc 8.2.1 (GCC) 20190212
     configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
     libavutil      56. 26.100 / 56. 26.100
     libavcodec     58. 47.100 / 58. 47.100
     libavformat    58. 26.101 / 58. 26.101
     libavdevice    58.  6.101 / 58.  6.101
     libavfilter     7. 48.100 /  7. 48.100
     libswscale      5.  4.100 /  5.  4.100
     libswresample   3.  4.100 /  3.  4.100
     libpostproc    55.  4.100 / 55.  4.100
    Splitting the commandline.
    Reading option '-i' ... matched as input url with argument 'C:\input.wav'.
    Reading option '-y' ... matched as option 'y' (overwrite output files) with argument '1'.
    Reading option '-vn' ... matched as option 'vn' (disable video) with argument '1'.
    Reading option '-ar' ... matched as option 'ar' (set audio sampling rate (in Hz)) with argument '44100'.
    Reading option '-ac' ... matched as option 'ac' (set number of audio channels) with argument '2'.
    Reading option '-ab' ... matched as option 'ab' (audio bitrate (please use -b:a)) with argument '192k'.
    Reading option '-f' ... matched as option 'f' (force format) with argument 'mp3'.
    Reading option '-method' ... matched as AVOption 'method' with argument 'PUT'.
    Reading option '-v' ... matched as option 'v' (set logging level) with argument 'trace'.
    Reading option 'https://my-bucket.s3.amazonaws.com/output.mp3?AWSAccessKeyId=AKIAJDSGJWM63VQEXHIQ&Expires=1550695990&Signature=dy3RVqDlX%2BlJ0INlDkl0Lm1Rqb4%3D' ... matched as output url.
    Finished splitting the commandline.
    Parsing a group of options: global .
    Applying option y (overwrite output files) with argument 1.
    Applying option v (set logging level) with argument trace.
    Successfully parsed a group of options.
    Parsing a group of options: input url C:\input.wav.
    Successfully parsed a group of options.
    Opening an input file: C:\input.wav.
    [NULL @ 000001fb37abb180] Opening 'C:\input.wav' for reading
    [file @ 000001fb37abc180] Setting default whitelist 'file,crypto'
    Probing wav score:99 size:2048
    [wav @ 000001fb37abb180] Format wav probed with size=2048 and score=99
    [wav @ 000001fb37abb180] Before avformat_find_stream_info() pos: 54 bytes read:65590 seeks:1 nb_streams:1
    [wav @ 000001fb37abb180] parser not found for codec pcm_s32le, packets or times may be invalid.
       Last message repeated 1 times
    [wav @ 000001fb37abb180] All info found
    [wav @ 000001fb37abb180] stream 0: start_time: -192153584101141.156 duration: 256.716
    [wav @ 000001fb37abb180] format: start_time: -9223372036854.775 duration: 256.716 bitrate=3072 kb/s
    [wav @ 000001fb37abb180] After avformat_find_stream_info() pos: 204854 bytes read:294966 seeks:1 frames:50
    Guessed Channel Layout for Input Stream #0.0 : stereo
    Input #0, wav, from 'C:\input.wav':
     Duration: 00:04:16.72, bitrate: 3072 kb/s
       Stream #0:0, 50, 1/48000: Audio: pcm_s32le ([1][0][0][0] / 0x0001), 48000 Hz, stereo, s32, 3072 kb/s
    Successfully opened the file.
    Parsing a group of options: output url https://my-bucket.s3.amazonaws.com/output.mp3?AWSAccessKeyId=AKIAJDSGJWM63VQEXHIQ&Expires=1550695990&Signature=dy3RVqDlX%2BlJ0INlDkl0Lm1Rqb4%3D.
    Applying option vn (disable video) with argument 1.
    Applying option ar (set audio sampling rate (in Hz)) with argument 44100.
    Applying option ac (set number of audio channels) with argument 2.
    Applying option ab (audio bitrate (please use -b:a)) with argument 192k.
    Applying option f (force format) with argument mp3.
    Successfully parsed a group of options.
    Opening an output file: https://my-bucket.s3.amazonaws.com/output.mp3?AWSAccessKeyId=AKIAJDSGJWM63VQEXHIQ&Expires=1550695990&Signature=dy3RVqDlX%2BlJ0INlDkl0Lm1Rqb4%3D.
    [http @ 000001fb37b15140] Setting default whitelist 'http,https,tls,rtp,tcp,udp,crypto,httpproxy'
    [tcp @ 000001fb37b16c80] Original list of addresses:
    [tcp @ 000001fb37b16c80] Address 52.216.8.203 port 80
    [tcp @ 000001fb37b16c80] Interleaved list of addresses:
    [tcp @ 000001fb37b16c80] Address 52.216.8.203 port 80
    [tcp @ 000001fb37b16c80] Starting connection attempt to 52.216.8.203 port 80
    [tcp @ 000001fb37b16c80] Successfully connected to 52.216.8.203 port 80
    [http @ 000001fb37b15140] request: PUT /output.mp3?AWSAccessKeyId=AKIAJDSGJWM63VQEXHIQ&Expires=1550695990&Signature=dy3RVqDlX%2BlJ0INlDkl0Lm1Rqb4%3D HTTP/1.1
    Transfer-Encoding: chunked
    User-Agent: Lavf/58.26.101
    Accept: */*
    Connection: close
    Host: landr-distribution-reportsdev-mb.s3.amazonaws.com
    Icy-MetaData: 1
    Successfully opened the file.
    Stream mapping:
     Stream #0:0 -> #0:0 (pcm_s32le (native) -> mp3 (libmp3lame))
    Press [q] to stop, [?] for help
    cur_dts is invalid (this is harmless if it occurs once at the start per stream)
    detected 8 logical cores
    [graph_0_in_0_0 @ 000001fb37b21080] Setting 'time_base' to value '1/48000'
    [graph_0_in_0_0 @ 000001fb37b21080] Setting 'sample_rate' to value '48000'
    [graph_0_in_0_0 @ 000001fb37b21080] Setting 'sample_fmt' to value 's32'
    [graph_0_in_0_0 @ 000001fb37b21080] Setting 'channel_layout' to value '0x3'
    [graph_0_in_0_0 @ 000001fb37b21080] tb:1/48000 samplefmt:s32 samplerate:48000 chlayout:0x3
    [format_out_0_0 @ 000001fb37b22cc0] Setting 'sample_fmts' to value 's32p|fltp|s16p'
    [format_out_0_0 @ 000001fb37b22cc0] Setting 'sample_rates' to value '44100'
    [format_out_0_0 @ 000001fb37b22cc0] Setting 'channel_layouts' to value '0x3'
    [format_out_0_0 @ 000001fb37b22cc0] auto-inserting filter 'auto_resampler_0' between the filter 'Parsed_anull_0' and the filter 'format_out_0_0'
    [AVFilterGraph @ 000001fb37b0d940] query_formats: 4 queried, 6 merged, 3 already done, 0 delayed
    [auto_resampler_0 @ 000001fb37b251c0] picking s32p out of 3 ref:s32
    [auto_resampler_0 @ 000001fb37b251c0] [SWR @ 000001fb37b252c0] Using fltp internally between filters
    [auto_resampler_0 @ 000001fb37b251c0] ch:2 chl:stereo fmt:s32 r:48000Hz -> ch:2 chl:stereo fmt:s32p r:44100Hz
    Output #0, mp3, to 'https://my-bucket.s3.amazonaws.com/output.mp3?AWSAccessKeyId=AKIAJDSGJWM63VQEXHIQ&Expires=1550695990&Signature=dy3RVqDlX%2BlJ0INlDkl0Lm1Rqb4%3D':
     Metadata:
       TSSE            : Lavf58.26.101
       Stream #0:0, 0, 1/44100: Audio: mp3 (libmp3lame), 44100 Hz, stereo, s32p, delay 1105, 192 kb/s
       Metadata:
         encoder         : Lavc58.47.100 libmp3lame
    cur_dts is invalid (this is harmless if it occurs once at the start per stream)
       Last message repeated 6 times
    size=     649kB time=00:00:27.66 bitrate= 192.2kbits/s speed=55.3x    
    size=    1207kB time=00:00:51.48 bitrate= 192.1kbits/s speed=51.5x    
    av_interleaved_write_frame(): Unknown error
    No more output streams to write to, finishing.
    [libmp3lame @ 000001fb37b147c0] Trying to remove 47 more samples than there are in the queue
    Error writing trailer of https://my-bucket.s3.amazonaws.com/output.mp3?AWSAccessKeyId=AKIAJDSGJWM63VQEXHIQ&Expires=1550695990&Signature=dy3RVqDlX%2BlJ0INlDkl0Lm1Rqb4%3D: Error number -10054 occurred
    size=    1251kB time=00:00:53.39 bitrate= 192.0kbits/s speed=51.5x    
    video:0kB audio:1252kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
    Input file #0 (C:\input.wav):
     Input stream #0:0 (audio): 5014 packets read (20537344 bytes); 5014 frames decoded (2567168 samples);
     Total: 5014 packets (20537344 bytes) demuxed
    Output file #0 (https://my-bucket.s3.amazonaws.com/output.mp3?AWSAccessKeyId=AKIAJDSGJWM63VQEXHIQ&Expires=1550695990&Signature=dy3RVqDlX%2BlJ0INlDkl0Lm1Rqb4%3D):
     Output stream #0:0 (audio): 2047 frames encoded (2358144 samples); 2045 packets muxed (1282089 bytes);
     Total: 2045 packets (1282089 bytes) muxed
    5014 frames successfully decoded, 0 decoding errors
    [AVIOContext @ 000001fb37b1f440] Statistics: 0 seeks, 2046 writeouts
    [http @ 000001fb37b15140] URL read error:  -10054
    [AVIOContext @ 000001fb37ac4400] Statistics: 20611126 bytes read, 1 seeks
    Conversion failed!

    So it looks like it is able to connect to my S3 pre-signed url but I still have the Error writing trailer error coupled with a URL read error.