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Publishing Site tech.tf1.fr at b7c9b4d on Tue Sep 3 07:52:24 UTC 2024
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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Blog technique e-TF1</title><link>https://tech.tf1.fr/</link><description>Recent content on Blog technique e-TF1</description><generator>Hugo -- gohugo.io</generator><language>fr-FR</language><lastBuildDate>Thu, 01 Aug 2024 09:00:00 +0000</lastBuildDate><atom:link href="https://tech.tf1.fr/index.xml" rel="self" type="application/rss+xml"/><item><title>Migration de Jenkins vers Argo</title><link>https://tech.tf1.fr/post/2024/qa/migration-argo/</link><pubDate>Thu, 01 Aug 2024 09:00:00 +0000</pubDate><guid>https://tech.tf1.fr/post/2024/qa/migration-argo/</guid><description>La migration de Jenkins vers une solution basée sur Docker avec Argo Workflows et Argo CD est une démarche stratégique pour l&amp;rsquo;équipe QA visant à moderniser et optimiser les processus de test automatisés avec une possibilité d&amp;rsquo;intégration continue (CI) et de déploiement continu (CD).
<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Blog technique e-TF1</title><link>https://tech.tf1.fr/</link><description>Recent content on Blog technique e-TF1</description><generator>Hugo -- gohugo.io</generator><language>fr-FR</language><lastBuildDate>Mon, 02 Sep 2024 09:00:00 +0000</lastBuildDate><atom:link href="https://tech.tf1.fr/index.xml" rel="self" type="application/rss+xml"/><item><title>Migration de Jenkins vers Argo</title><link>https://tech.tf1.fr/post/2024/qa/migration-argo/</link><pubDate>Mon, 02 Sep 2024 09:00:00 +0000</pubDate><guid>https://tech.tf1.fr/post/2024/qa/migration-argo/</guid><description>La migration de Jenkins vers une solution basée sur Docker avec Argo Workflows et Argo CD est une démarche stratégique pour l&amp;rsquo;équipe QA visant à moderniser et optimiser les processus de test automatisés avec une possibilité d&amp;rsquo;intégration continue (CI) et de déploiement continu (CD).
Contexte de la migration Historiquement, l&amp;rsquo;équipe QA de la DT eTF1 utilisait Jenkins comme orchestrateur de lancement pour ses tests automatisés, via des pipelines d’exécution lancés manuellement ou de manière automatique.</description></item><item><title>Déploiement d'un LLM à l'échelle avec TGI</title><link>https://tech.tf1.fr/post/2024/ia/inference-llm-tgi/</link><pubDate>Wed, 26 Jun 2024 09:00:00 +0000</pubDate><guid>https://tech.tf1.fr/post/2024/ia/inference-llm-tgi/</guid><description>L&amp;rsquo;inférence d&amp;rsquo;un Large Language Model Les LLMs (Large Language Model) sont de plus en plus adoptés en entreprise, leur coût, leur mise à l&amp;rsquo;échelle en production ou la confidentialité des données peuvent être de véritables défis.
La solution la plus simple pour réaliser l&amp;rsquo;inférence d&amp;rsquo;un modèle consiste à payer une solution clé en main, telle que :
openAI (chatGPT) Google (Gemini) Anthropic (Claude) Certains services, comme AWS Bedrock permettent de déployer différents modèles.</description></item><item><title>Gestion du Server-Side Ad Insertion (SSAI) sur nos chaînes FAST</title><link>https://tech.tf1.fr/post/2023/pub/streaming-fast-ssai/</link><pubDate>Mon, 06 Nov 2023 09:00:00 +0000</pubDate><guid>https://tech.tf1.fr/post/2023/pub/streaming-fast-ssai/</guid><description>Chaînes FAST FAST est l&amp;rsquo;acronyme pour Free Ad-supported Streaming Television. Il s&amp;rsquo;agit de chaînes en streaming gratuites avec de la publicité. Le principe est de reprendre des contenus du catalogue TF1, typiquement en AVOD (Advertising Video on Demand) et de l&amp;rsquo;assembler pour constituer une grille de programmation qui alimentera une chaîne live. C&amp;rsquo;est le principe de Stream sur MYTF1. On parle alors de re-linéarisation des contenus.
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