Resources

Scalabilité de MongoDB

Vous avez déployé MongoDB, mais votre application a maintenant des impératifs de performance avec des charges plus lourdes. Grâce aux capacités de sharding, MongoDB permet une scalabilité horizontale et garantit des performances fiables dans le temps. Durant cette session, nous vous présenterons les options de scalabilité, comment configurer le sharding, quelle clé choisir pour un fonctionnement optimal.

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Automatisez votre gestion de MongoDB avec MMS

MongoDB Management Service (MMS) facilite la vie des équipes opérations en simplifiant les tâches de gestion au quotidien. Vous pouvez désormais tout gérer depuis l’interface MMS : provisionner des serveurs, configurer des replica sets et des clusters, et mettre à jour votre environmment MongoDB. Durant cette session, nous vous présenterons les nouvelles fonctionnalités d’automatisation de MMS. Parmi les démos auxquelles vous pourrez assister : comment provisionner, comment gerer vos utilisateurs, comment ajuster vos clusters, et bien d’autres choses encore.

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Plus de flexibilité et de scalabilité chez Bouygues Télécom grâce à MongoDB

Comme de nombreux opérateur Bouygues télécom dispose d'un annuaire des services de ses clients. Ce système est critique pour réaliser les paiements sur facture des abonnées, s'authentifier sur sa boite de messagerie, regarder la télévision en streaming et bien d'autres services. Il y a quelque années une solution du marché avait été choisie. Après de nombreux problèmes - de performances et de trop grande rigidé du modèle - ce systême a été remplacé par un dévelopement spécifique architecturé autour de MongoDB, Apache Storm et Apache Tomcat. Cette présentation retrace l'histoire de cette refonte et les écueils rencontrés puis surmontés pour mettre en place un système disponible à 99,9% avec des sollicitations pouvant aller jusqu'à 3000 req/s. Nous parlerons de construction de modèle, de devops et aussi de topologie storm.

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Dev Jumpstart: Build Your First App with MongoDB

New to MongoDB? This talk will introduce the philosophy and features of MongoDB. We’ll discuss the benefits of the document-based data model that MongoDB offers by walking through how one can build a simple app to store books. We’ll cover inserting, updating, and querying the database of books. This session will jumpstart your knowledge of MongoDB development, providing you with context for the rest of the day's content.

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Shaping the Future of Travel with MongoDB

Amadeus IT Group is the leading provider of software and technology solutions for the global travel industry. In this competitive market, new applications made possible by Big Data allows organizations to gain an in-depth understanding of their markets, make better predictions, and build personalized experiences across the entire travel cycle. Amadeus is empowering real-time Big Data insights with MongoDB by using its rich data structure, flexible schema, high availability, and scale-out capabilities. The service offered by Amadeus enables their customers to replace batch analytical processes with faster and more efficient analysis of raw data. This talk covers how Amadeus configured MongoDB, the underlying systems for computation-heavy, scanning-type workloads, and how the firm was able to match MongoDB with their enterprise operational requirements.

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Ops Jumpstart: MongoDB Administration 101

New to MongoDB? We'll provide an overview of installation, high availability through replication, scale out through sharding, and options for monitoring and backup. No prior knowledge of MongoDB is assumed. This session will jumpstart your knowledge of MongoDB operations, providing you with context for the rest of the day's content.

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Deploying Your First App on AWS with MongoDB Management Service (MMS)

Learn how you can use MongoDB Management Service to spin up a new deployment on AWS in minutes.

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Sharding Methods for MongoDB

Learn all about sharding. With this presentation, you will be able to answer questions such as what is sharding, when is it time to shard, what are the various types of sharding and which makes the most sense for my use case.

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Apache Jackrabbit Oak on MongoDB

Apache Jackrabbit Oak is a scalable and performat implementation of the Java Content Repository API (JSR-283) with support for structured and unstructured content, full text search, versioning, transactions, observation and more. It is used as the foundation of the Adobe Experience Manager (AEM), a web content management system by Adobe. This talk will give an overview of the technology stack used by AEM and present the design of Oak and how multiversion concurrency control with transactions are implemented on top of MongoDB. Oak also provides a content-addressable storage as an alternative to GridFS for storing files. You will learn how it works and data duplication is avoided.

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Lightning Talk: Turbo Charge your MongoDB App

High performance systems at scale can challenge storage infrastructures. Today, many MongoDB customers are addressing this by moving to all-flash shared storage platforms, which can dramatically reduce latency. Hear from the experts at enterprise storage provider Pure Storage on how 3 leading online SaaS providers have improved performance, become more efficient, and simplified their MongoDB infrastructure with all-flash storage.

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Industrial Internet and Intelligent Machines with MongoDB

Smart Factories with M2M communications is the main goal of the fourth industrial revolution. The “Industrial Internet” as it is called by GE or the “Industry 4.0” project by the German government revolve around Big Data and Analytics. The machine building industry faces challenges in emerging markets such as high energy costs and a shortage of skilled staff, which drive the need for highly-optimized and self-optimizing machines. We will use the example of a world leader in this sector to describe how we built a system for real-time analytics of machine sensor data, using MongoDB as the heart of an easily scalable and decentralized storage system for operational data. Customers of Brückner Maschinenbau GmbH use the system to gather data from their production lines, monitor the quality of their products and optimize their production-processes with prediction analyses and deep production insights through machine learning algorithms.

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Mythbusting: Understanding How We Measure Performance at MongoDB

Benchmarking, benchmarking, benchmarking. We all do it, mostly it tells us what we want to hear but often hides a mountain of misinformation. In this talk we will walk through the pitfalls that you might find yourself in by looking at some examples where things go wrong. We will then walk through how MongoDB performance is measured, the processes and methodology and ways to present and look at the information.

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