Public Cloud – Advanced Workshop: Infrastructure as code with CLI and Terraform

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Tout le monde parle d’intelligence artificielle de nos jours et certaines personnes imaginent cela comme complexe. La réalité est bien différente, les concepts sont simples, et des outils existent pour cacher les complexités d’implémentation. Dans cet épisode, Jean-Louis Queguiner, nous explique ce qu'est l'intelligence artificielle, les méthodes qui existent et vous présente les concepts basiques des réseaux de neurones. Pas de maths, c'est promis, juste du bon sens !

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Chez OVHcloud, nous utilisons en interne des modèles de Machine Learning qui aident à la prise de décision, dans des domaines allant de la lutte contre la fraude à l'amélioration de la maintenance de nos infrastructures. Tirant parti des formats Open Source standard - tels que les SavedModels de Tensorflow - ML Serving permet aux utilisateurs de déployer facilement leurs modèles tout en bénéficiant de fonctionnalités essentielles telles que l'instrumentation, l'évolutivité et la gestion des versions des modèles.

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Logging at OVHcloud : Logs Data platform est la plateforme de collecte, d'analyse et de gestion centralisée de logs d'OVHcloud. Cette plateforme a pour but de répondre aux challenges que constitue l'indexation de plus de 4000 milliards de logs par une entreprise comme OVHcloud. Cette présentation vous décrira l'architecture générale de Logs Data Platform autour de ses composants centraux Elasticsearch et Graylog et vous décrira les différentes problématiques de scalabilité, disponibilité, performance et d'évolutivité qui sont le quotidien de l'équipe Observability à OVHcloud.

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A la découverte du standard OpenStack et de ses APIs OpenStack est la brique logicielle open source sur laquelle s'appuie OVHcloud pour proposer son offre de Public Cloud (compute, storage, network, …). OpenStack permet l’administration complète des ressources à travers une API particulièrement riche. Raison pour laquelle OVHcloud en donne un accès exhaustif aux utilisateurs de son Public Cloud, nombreux à manipuler leurs ressources en lignes de commande. Au fil de ce meetup, nous poserons les bases de l’architecture et du fonctionnement d’OpenStack et de ses différents composants. Nous parlerons ensuite du fonctionnement des APIs OpenStack, éléments clés pour interagir avec OpenStack. Nous finirons par quelques usages de ces APIs au travers d’outils connus comme Terraform, qui permettront de mettre en évidence l’importance de proposer un standard dans l’univers du Public Cloud.

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Il y a deux ans, nous apprenions notre nouvelle mission : migrer les 3 millions de sites web hébergés dans notre datacentre de Paris. Sans en maitriser le code source, les migrer sans impact nous semblait totalement irréaliste. 18 mois plus tard, c'est terminé ! Pour y arriver, nous avons du configurer des proxy SQL, des tunnels réseau, migrer des IP entre nos datacentres, livrer des milliers de serveurs, bosser durant des dizaines de nuits, mais aussi s'organiser entre plusieurs équipes qui n'ont pas l'habitude de travailler ensemble. Quels sont les soucis technique et humains que nous avons rencontrés, et comment les avons nous résolu ? Retour d'expérience sur l'une des plus grosse migration que le web ai connu !

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Le machine learning et l’IA sont des buzzwords qui font maintenant partie de notre quotidien. Pourtant, rares sont les projets qui osent inclure du ML dans leur cycle de vie. Les raisons sont multiples : - Inquiétudes sur un niveau d’expertise trop limité en DataScience - Difficultés d’apprécier à l’avance le gap entre difficulté de mise en place et retour sur investissement - Inquiétudes sur la pérennité des efforts investis : (dérive des modèles entrainés) - Peur de s’engager dans un effort trop important de maintenance sur le long terme Bien que fondées, ces raisons n’ont plus lieu d’être après la mise en place de procédés d’industrialisation spécifiques à ce genre de problème. Venez découvrir comment nous avons fait converger les compétences des datascientists et des devops afin de créer une plate-forme de machine learning simple, scalable et accessible aux non-experts. De l’analyse des données à la mise en production de modèles nous verrons comment industrialiser les procédés d’apprentissage automatique sans le moindre effort. Pour plus d'informations à propos de Prescience : https://labs.ovh.com/machine-learning-platform

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In this workshop VMware will provide a quick reminder of the main contributions of the NSX network virtualization platform: consistent network and security management, increased application resiliency, rapid migration of workloads to and from the cloud. VMware and OVH will then move on to practical cases with implementation of micro-segmentation, dynamic routing, automatic deployment of an application, load balancing in the OVH Hosted Private Cloud. This workshop is aimed at a technical audience.

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