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Subject: AWS Media & Entertainment : Quoi de Neuf
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From: "Marchand, Guillaume" <gmarchan@amazon.fr>
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Date: Fri, 28 Jun 2024 17:18:41 +0200
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                       <div><span>Newsletter Media & Entertainment du lundi 10 février 2025 au vendredi 21 février 2025</span>
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                       <div><span>Innovations AWS : du Cloud à l'IA pour transformer les entreprises</span>
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          <!-- BEGIN MODULE: Link Menu -->
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                               <a class="pc-font-alt" href="#Media" style="text-decoration: none; line-height: 150%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: center; text-align-last: center;">
                                <span>#Media</span>
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                                <span>#Analytics</span>
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                               <a class="pc-font-alt" href="#ContainersAndK8s" style="text-decoration: none; line-height: 150%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: center; text-align-last: center;">
                                <span>#ContainersAndK8s</span>
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                               <a class="pc-font-alt" href="#DB" style="text-decoration: none; line-height: 150%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: center; text-align-last: center;">
                                <span>#DB</span>
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                                <span>#DevOps</span>
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                               <a class="pc-font-alt" href="#DevTools" style="text-decoration: none; line-height: 150%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: center; text-align-last: center;">
                                <span>#DevTools</span>
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                               <a class="pc-font-alt" href="#GenAI" style="text-decoration: none; line-height: 150%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: center; text-align-last: center;">
                                <span>#GenAI</span>
                               </a>
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                                <span>#ML</span>
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                      <table border="0" cellpadding="0" cellspacing="0" role="presentation" style="border-collapse: separate; border-spacing: 0;">
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                               <a class="pc-font-alt" href="#Network" style="text-decoration: none; line-height: 150%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: center; text-align-last: center;">
                                <span>#Network</span>
                               </a>
                              </td>
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                         </table>
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                  </td>
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                </table>
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          <!-- END MODULE: Link Menu -->

 
          <!-- BEGIN MODULE: Subtitle -->
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           <tr>
            <td style="padding: 0px 0px 0px 0px;">
             <table width="100%" border="0" cellspacing="0" cellpadding="0" role="presentation" style="border-collapse: separate; border-spacing: 0px;">
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               <td valign="top" class="pc-w520-padding-15-30-0-30 pc-w620-padding-15-35-0-35" style="padding: 10px 40px 10px 40px; border-radius: 0px; border-top: 1px dotted #e3e3e3; background-color: #ffffff;" bgcolor="#ffffff">
                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                   <div class="pc-font-alt" style="line-height: 133%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal;font-style: italic; font-variant-ligatures: normal; color: #707070; text-align: left; text-align-last: left;">
                    <div><span>Cette sélection d'articles couvre les dernières avancées AWS en matière de Cloud, d'IA générative, de bases de données, de DevOps et de réseaux, illustrant comment ces technologies révolutionnent divers secteurs et optimisent les processus d'entreprise.</span>
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          <!-- END MODULE: Subtitle -->

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         <td valign="top">

 

          <!-- BEGIN MODULE: Content 17 -->
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            <td style="padding: 0px 0px 0px 0px;">
             <table width="100%" border="0" cellspacing="0" cellpadding="0" role="presentation">
    
    
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               <td valign="top" class="pc-w520-padding-30-30-30-30 pc-w620-padding-35-35-35-35" style="padding: 10px 40px 10px 40px; border-radius: 0px; background-color: #ffffff;" bgcolor="#ffffff">
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                  <td align="left" valign="top" style="padding: 0px 0px 6px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                     <a name="Media" id="Media"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Media, Sport and Video</span>
                       </div>
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                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=mbV8aOiXxpw" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Hearst Networks EMEA modernise sa chaîne d'approvisionnement de contenu avec SDVI et AWS</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                  <td valign="top" align="left">
                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=mbV8aOiXxpw" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Hearst Networks EMEA a modernisé sa chaîne d'approvisionnement de contenu en migrant vers le Cloud, en déployant la plateforme SDVI Rally sur AWS, ce qui a permis d'améliorer le contrôle, la flexibilité et la rapidité de ses opérations de préparation et de distribution de contenu.</span>
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              <tr>
               <td valign="top" class="pc-w520-padding-30-30-30-30 pc-w620-padding-35-35-35-35" style="padding: 10px 40px 10px 40px; border-radius: 0px; background-color: #ffffff;" bgcolor="#ffffff">
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                  <td align="left" valign="top" style="padding: 0px 0px 6px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                     <a name="Media" id="Media"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Media, Sport and Video</span>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                  <td align="left" valign="top" style="padding: 0px 0px 5px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=jq_wO8E5QS8" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Les experts décortiquent la métrique NHL EDGE IQ Ice Tilt, propulsée par AWS</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=jq_wO8E5QS8" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>La NHL et AWS présentent la métrique Ice Tilt, un outil d'analyse en temps réel qui mesure l'élan et la dynamique des équipes pendant les matchs de hockey, offrant de nouvelles perspectives aux fans et aux équipes.</span>
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                     <a name="Media" id="Media"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Media, Sport and Video</span>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/troubleshooting-srt-and-zixi-with-aws-elemental-mediaconnect/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Dépannage de SRT et Zixi avec AWS Elemental MediaConnect</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/troubleshooting-srt-and-zixi-with-aws-elemental-mediaconnect/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>This blog post provides best practices and troubleshooting techniques for using SRT and Zixi protocols with AWS Elemental MediaConnect, covering sender and receiver recommendations, key monitoring metrics, and solutions for common issues to ensure reliable video transport over long distances.</span>
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                     <a name="Media" id="Media"></a>
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                       <div><span>Media, Sport and Video</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/aws-deadline-cloud-adobe-after-effects-service-managed-fleets" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>AWS Deadline Cloud prend désormais en charge Adobe After Effects dans les flottes gérées par le service</span>
                      </a>
                       </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/aws-deadline-cloud-adobe-after-effects-service-managed-fleets" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>AWS Deadline Cloud étend son support à Adobe After Effects dans ses Service-Managed Fleets, permettant aux équipes de création graphique de soumettre des projets After Effects sans gérer leur propre infrastructure de rendu, avec un provisionnement et une mise à l'échelle automatiques des ressources de calcul.</span>
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                     <a name="Media" id="Media"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Media, Sport and Video</span>
                       </div>
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                      <a class="pc-font-alt" href="https://medium.com/trackit/automated-logo-detection-and-audio-monitoring-b884e9bf7060?source=rss----d39762e03b65---4" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Détection automatisée de logos et monitoring audio</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://medium.com/trackit/automated-logo-detection-and-audio-monitoring-b884e9bf7060?source=rss----d39762e03b65---4" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>TrackIt a développé une solution automatisée utilisant Amazon Rekognition Custom Labels et DejaVu pour la détection de logos, la surveillance réglementaire et l'identification de programmes en temps réel dans les flux de diffusion, améliorant ainsi l'efficacité et la conformité pour les diffuseurs.</span>
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                     <a name="Media" id="Media"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Media, Sport and Video</span>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=Y_qWxwY9NO4" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Construire l'avenir des paris sportifs : le parcours de FanDuel avec AWS</span>
                      </a>
                       </div>
                      </div>
                     </td>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=Y_qWxwY9NO4" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>FanDuel s'appuie sur AWS pour offrir à ses fans une expérience fiable et à faible latence à grande échelle dans le domaine des paris sportifs.</span>
                   </a>
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                     <a name="Media" id="Media"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Media, Sport and Video</span>
                       </div>
                      </div>
                     </td>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/hearst-networks-emea-drives-workflow-transformation-with-sdvi-and-aws/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Hearst Networks EMEA transforme ses flux de travail avec SDVI et AWS</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/hearst-networks-emea-drives-workflow-transformation-with-sdvi-and-aws/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Hearst Networks EMEA a migré sa chaîne d'approvisionnement de contenu vers AWS, utilisant la plateforme Rally de SDVI pour unifier et optimiser ses processus de gestion de contenu à travers l'Europe et le Moyen-Orient, améliorant ainsi l'agilité, l'efficacité et l'évolutivité de ses opérations.</span>
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                     <a name="Analytics" id="Analytics"></a>
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                       <div><span>Analytics</span>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=cm0jWo23vr4" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>La perspective du joueur : le taux de buts projetés NHL EDGE IQ en action, propulsé par AWS</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=cm0jWo23vr4" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Meghan Chayka, CEO de Stathletes et AWS Ambassador, et Adam Fox, joueur de la NHL pour les New York Rangers, explorent le Projected Goal Rate (PGR), une analyse de NHL EDGE IQ propulsée par AWS qui utilise une approche basée sur les données pour évaluer les chances de marquer au hockey.</span>
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                     <a name="ContainersAndK8s" id="ContainersAndK8s"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Container and Kubernetes</span>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/security/announcing-ascp-integration-with-pod-identity-enhanced-security-for-secrets-management-in-amazon-eks/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Annonce de l'intégration d'ASCP avec Pod Identity : Sécurité renforcée pour la gestion des secrets dans Amazon EKS</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/security/announcing-ascp-integration-with-pod-identity-enhanced-security-for-secrets-management-in-amazon-eks/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>AWS annonce l'intégration d'AWS Secrets and Configuration Provider (ASCP) avec Pod Identity pour Amazon EKS, offrant une sécurité renforcée, une configuration simplifiée et une meilleure gestion des secrets dans les environnements Kubernetes.</span>
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                     <a name="ContainersAndK8s" id="ContainersAndK8s"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Container and Kubernetes</span>
                       </div>
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                    <tr>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/aws-codepipeline-native-amazon-eks-deployment-support" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>AWS CodePipeline ajoute le support natif du déploiement Amazon EKS</span>
                      </a>
                       </div>
                      </div>
                     </td>
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                  </td>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/aws-codepipeline-native-amazon-eks-deployment-support" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>AWS CodePipeline introduit une nouvelle action permettant de déployer directement vers Amazon EKS, simplifiant ainsi le processus de déploiement d'applications conteneurisées, y compris dans les clusters EKS situés dans des VPC privés.</span>
                   </a>
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                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                     <a name="ContainersAndK8s" id="ContainersAndK8s"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Container and Kubernetes</span>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/aws-secrets-configuration-provider-pod-identity-eks/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Le fournisseur AWS Secrets and Configuration Provider s'intègre désormais avec Pod Identity pour Amazon EKS</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
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                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/aws-secrets-configuration-provider-pod-identity-eks/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>L'intégration d'AWS Secrets and Configuration Provider avec Amazon EKS Pod Identity simplifie l'authentification IAM pour Amazon EKS lors de la récupération de secrets d'AWS Secrets Manager ou de paramètres d'AWS Systems Manager Parameter Store, offrant une gestion plus efficace et sécurisée des autorisations IAM pour les applications Kubernetes.</span>
                   </a>
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                  <td align="left" valign="top" style="padding: 0px 0px 6px 0px;">
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                     <td valign="top" align="left">
                     <a name="DB" id="DB"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Database</span>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/amazon-timestream-influxdb-read-replica-support/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Amazon Timestream pour InfluxDB ajoute le support des réplicas en lecture</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
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                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/amazon-timestream-influxdb-read-replica-support/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Amazon Timestream for InfluxDB introduit la prise en charge des Read Replicas, permettant aux clients de répartir les opérations de lecture sur plusieurs instances et zones de disponibilité pour améliorer les performances et la disponibilité des applications à forte intensité de lecture.</span>
                   </a>
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                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                  <td align="left" valign="top" style="padding: 0px 0px 6px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                     <a name="DB" id="DB"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Database</span>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
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                </table>
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                    <tr>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/big-data/migrate-from-standard-brokers-to-express-brokers-in-amazon-msk-using-amazon-msk-replicator/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Migrer des brokers Standard vers des brokers Express dans Amazon MSK en utilisant Amazon MSK Replicator</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
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                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/big-data/migrate-from-standard-brokers-to-express-brokers-in-amazon-msk-using-amazon-msk-replicator/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Ce guide détaille le processus de migration d'un cluster Amazon MSK avec des brokers Standard vers un cluster avec des brokers Express en utilisant Amazon MSK Replicator, couvrant la planification, le déploiement et la migration des clients pour une transition efficace et à faible temps d'arrêt.</span>
                   </a>
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                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                  <td align="left" valign="top" style="padding: 0px 0px 6px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
                    <tr>
                     <td valign="top" align="left">
                     <a name="DB" id="DB"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Database</span>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                  <td align="left" valign="top" style="padding: 0px 0px 5px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
                    <tr>
                     <td valign="top" align="left">
                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/database/multi-tenant-vector-search-with-amazon-aurora-postgresql-and-amazon-bedrock-knowledge-bases/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Recherche vectorielle multi-locataires avec Amazon Aurora PostgreSQL et Amazon Bedrock Knowledge Bases</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                  <td valign="top" align="left">
                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/database/multi-tenant-vector-search-with-amazon-aurora-postgresql-and-amazon-bedrock-knowledge-bases/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>This blog post demonstrates how to implement a multi-tenant vector search solution using Amazon Aurora PostgreSQL and Amazon Bedrock Knowledge Bases, showcasing data ingestion, retrieval, and tenant isolation techniques for generative AI applications.</span>
                   </a>
                  </td>
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                  <td align="left" valign="top" style="padding: 0px 0px 6px 0px;">
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                    <tr>
                     <td valign="top" align="left">
                     <a name="DevOps" id="DevOps"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>DevOps</span>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                  <td align="left" valign="top" style="padding: 0px 0px 5px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
                    <tr>
                     <td valign="top" align="left">
                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/architecture/realizing-twelve-factors-with-the-aws-well-architected-framework/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Réaliser les douze facteurs avec le AWS Well-Architected Framework</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                  <td valign="top" align="left">
                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/architecture/realizing-twelve-factors-with-the-aws-well-architected-framework/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>This blog post explores how the twelve-factor app principles align with the AWS Well-Architected Framework, providing guidance on implementing these concepts using AWS services to build scalable, resilient, and efficient cloud-native applications.</span>
                   </a>
                  </td>
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                     <td valign="top" align="left">
                     <a name="DevOps" id="DevOps"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>DevOps</span>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                  <td align="left" valign="top" style="padding: 0px 0px 5px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
                    <tr>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/cloudwatch-application-signals-runtime-metrics-net-applications/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>CloudWatch Application Signals prend désormais en charge les métriques d'exécution pour les applications .NET</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                  <td valign="top" align="left">
                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/cloudwatch-application-signals-runtime-metrics-net-applications/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Amazon CloudWatch Application Signals now offers runtime metrics for .NET applications, enabling developers to monitor resource consumption and correlate it with application performance without code changes.</span>
                   </a>
                  </td>
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                     <td valign="top" align="left">
                     <a name="DevTools" id="DevTools"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Developer Tools</span>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
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                </table>
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                  <td align="left" valign="top" style="padding: 0px 0px 5px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
                    <tr>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/using-open-job-description-to-customize-submitter-workflows/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Utilisation d'Open Job Description pour personnaliser les workflows de soumission</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
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                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                  <td valign="top" align="left">
                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/using-open-job-description-to-customize-submitter-workflows/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>This blog post demonstrates how to use Open Job Description (OpenJD) to customize AWS Deadline Cloud integrated submitters for Maya, streamlining render farm job submission workflows and addressing specific use cases such as updating project paths, adjusting image resolution, reorganizing the GUI, and controlling render layers.</span>
                   </a>
                  </td>
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                     <a name="DevTools" id="DevTools"></a>
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                       <div><span>Developer Tools</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/aws-appsync-graphql-operation-level-caching-api-responses" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>AWS AppSync GraphQL introduit la mise en cache au niveau des opérations pour des réponses d'API GraphQL plus rapides</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/aws-appsync-graphql-operation-level-caching-api-responses" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>AWS AppSync GraphQL introduit le cache au niveau des opérations, permettant de stocker les réponses complètes des requêtes GraphQL pour améliorer les performances et réduire la latence des API à forte lecture, sans nécessiter de modifications de code.</span>
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                     <a name="GenAI" id="GenAI"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Generative AI</span>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=RNJFRWhQZUE" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>AWS Show and Tell - Gen AI : "Amazon Nova Multi-Modal Showcase"</span>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=RNJFRWhQZUE" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Cette présentation explore les capacités des modèles Amazon Nova et leur application dans l'analyse d'images et la génération de contenu, mettant en avant l'intelligence, le rapport qualité-prix et la fiabilité qui enthousiasment les clients.</span>
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                     <a name="GenAI" id="GenAI"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Generative AI</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/how-formula-1-uses-generative-ai-to-accelerate-race-day-issue-resolution/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Comment la Formule 1® utilise la Generative AI pour accélérer la résolution des problèmes le jour de la course</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/how-formula-1-uses-generative-ai-to-accelerate-race-day-issue-resolution/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Formula 1® et AWS ont développé un assistant d'analyse des causes racines utilisant Amazon Bedrock pour accélérer la résolution des problèmes opérationnels récurrents pendant les courses, réduisant le temps de résolution de plusieurs semaines à quelques minutes.</span>
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                     <a name="GenAI" id="GenAI"></a>
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                       <div><span>Generative AI</span>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=dtzAgG5_cRw" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>AudioStack accélère les flux de production avec l'IA - AWS Startups | Amazon Web Services</span>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=dtzAgG5_cRw" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>AudioStack, une startup utilisant l'IA et Amazon Bedrock, révolutionne la production audio publicitaire en créant des contenus de haute qualité en moins de 60 secondes, permettant aux marques de communiquer efficacement avec leurs consommateurs.</span>
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                     <a name="GenAI" id="GenAI"></a>
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                       <div><span>Generative AI</span>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=ePY2ryoD5bE" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Mistral AI dans Amazon Bedrock - Donner du pouvoir aux entreprises | Amazon Web Services</span>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=ePY2ryoD5bE" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Mistral AI s'associe à Amazon Bedrock pour offrir des modèles d'IA générative de pointe, mettant l'accent sur la portabilité, la personnalisation et l'efficacité, tout en fournissant aux entreprises des outils complets et un parcours sécurisé du concept à la production.</span>
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                     <a name="GenAI" id="GenAI"></a>
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                       <div><span>Generative AI</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/from-concept-to-reality-navigating-the-journey-of-rag-from-proof-of-concept-to-production/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Du concept à la réalité : Naviguer dans le parcours du RAG de la preuve de concept à la production</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/from-concept-to-reality-navigating-the-journey-of-rag-from-proof-of-concept-to-production/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Ce billet de blog explore les techniques d'optimisation, l'infrastructure et les considérations de sécurité pour transformer une application de Retrieval Augmented Generation (RAG) d'un prototype à un système de production fiable, rentable et performant en utilisant Amazon Bedrock et d'autres services AWS.</span>
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                     <a name="ML" id="ML"></a>
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                       <div><span>Machine Learning</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/achieve-2x-speed-up-in-llm-inference-with-medusa-1-on-amazon-sagemaker-ai/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Obtenez une accélération d'environ 2x dans l'inférence LLM avec Medusa-1 sur Amazon SageMaker AI</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/achieve-2x-speed-up-in-llm-inference-with-medusa-1-on-amazon-sagemaker-ai/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>This blog post demonstrates how to use Medusa-1, a framework for accelerating large language model (LLM) inference, on Amazon SageMaker AI to achieve a ~2x speedup without sacrificing model quality, by fine-tuning an LLM, training Medusa heads, and deploying the model on a SageMaker endpoint.</span>
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                     <a name="ML" id="ML"></a>
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                       <div><span>Machine Learning</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/fine-tune-llms-with-synthetic-data-for-context-based-qa-using-amazon-bedrock/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Affinez les LLMs avec des données synthétiques pour des questions-réponses contextuelles en utilisant Amazon Bedrock</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/fine-tune-llms-with-synthetic-data-for-context-based-qa-using-amazon-bedrock/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>This blog post demonstrates how to use Amazon Bedrock to generate synthetic training data with a large language model and fine-tune a smaller model, showing improved performance over baseline models when original training data is limited.</span>
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                     <a name="ML" id="ML"></a>
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                       <div><span>Machine Learning</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/use-language-embeddings-for-zero-shot-classification-and-semantic-search-with-amazon-bedrock/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Utilisez les embeddings linguistiques pour la classification zero-shot et la recherche sémantique avec Amazon Bedrock</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/use-language-embeddings-for-zero-shot-classification-and-semantic-search-with-amazon-bedrock/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>This blog post demonstrates how to use language embeddings with Amazon Bedrock to implement zero-shot classification and semantic search in an RSS aggregator application, showcasing the power of embeddings for enhancing application functionality without extensive training.</span>
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                     <a name="ML" id="ML"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Machine Learning</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/llm-as-a-judge-on-amazon-bedrock-model-evaluation/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>LLM-as-a-judge sur Amazon Bedrock Model Evaluation</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/llm-as-a-judge-on-amazon-bedrock-model-evaluation/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Amazon Bedrock introduces LLM-as-a-judge model evaluation, enabling automated, comprehensive assessment of AI model performance across quality, user experience, instruction following, and safety metrics, streamlining the evaluation process and enhancing decision-making for model selection and optimization.</span>
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                     <a name="ML" id="ML"></a>
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                       <div><span>Machine Learning</span>
                       </div>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=vf9RtoH_AkU" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Explication du taux de buts projetés NHL EDGE IQ, propulsé par AWS</span>
                      </a>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=vf9RtoH_AkU" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>La NHL utilise les données de suivi EDGE Puck et Player ainsi que le machine learning d'AWS pour évaluer les chances de marquer en temps réel, en mesurant 27 facteurs explicatifs pour dériver un taux de but projeté (PGR).</span>
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                     <a name="ML" id="ML"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Machine Learning</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/automate-bulk-image-editing-with-crop-photo-and-amazon-rekognition/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Automatisez l'édition en masse d'images avec Crop.photo et Amazon Rekognition</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/automate-bulk-image-editing-with-crop-photo-and-amazon-rekognition/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Crop.photo, developed by Evolphin Software, leverages Amazon Rekognition to automate bulk image editing for ecommerce and sports industries, significantly improving processing speed and precision while maintaining brand consistency and quality standards.</span>
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                     <a name="ML" id="ML"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Machine Learning</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/nhl-4-nations-face-off-revolutionizing-hockey-analytics-with-aws/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>4 Nations Face-Off : Révolutionner l'analyse du hockey avec AWS</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/nhl-4-nations-face-off-revolutionizing-hockey-analytics-with-aws/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Le 4 Nations Face-Off met en avant les innovations en analyse de hockey utilisant AWS, offrant aux fans des insights en temps réel sur le momentum du jeu, l'évaluation des chances de marquer et le taux de but projeté grâce au machine learning et au NHL EDGE IQ analytics.</span>
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                     <a name="Network" id="Network"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Network</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/aws-network-load-balancer-removing-availability-zones" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>AWS Network Load Balancer prend désormais en charge la suppression des zones de disponibilité</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/02/aws-network-load-balancer-removing-availability-zones" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>AWS Network Load Balancer introduit la possibilité de supprimer des Availability Zones existantes, permettant aux clients de modifier rapidement l'emplacement de leur stack applicative entre les zones de disponibilité pour répondre à l'évolution des besoins commerciaux et de conformité.</span>
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