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Que savons-nous aujourd'hui des ports, de leur histoire et de leur fonctionnement ? Une des approches les plus fructueuses passe par l'étude des environnements portuaires. Des spécialistes français, britanniques, américains, belges, allemands et italiens nous apportent le résultat des recherches qu'ils développent depuis de longues années. Historiens, sociologues, géographes, professionnels nous livrent leurs réflexions sur ce milieu si important pour l'évolution de nos civilisations. Les exemples sont tirés de toutes les mers du globe, de San Francisco à Montevideo, d'Anvers à Gioia Tauro. Les ports français, bien représentés, s'égrènent de Dunkerque à Fos, avec une attention toute particulière pour la Basse-Seine (Le Havre, Rouen, Honfleur, Dives,...) et la Bretagne. Mais l'ouvrage va au-delà des études de cas puisque l'une de ses originalités est de regrouper plusieurs articles marqués par la dimension comparative. Dans une première partie, les auteurs examinent les représentations et la culture des ports. Dans la deuxième, des réalités plus matérielles, telles que les espaces, les aménagements et les règlements occupent le premier plan. La troisième partie enfin, la plus longue, est dédiée à la foule des métiers de la mer : marins, manutentionnaires, pêcheurs, pilotes et surtout dockers. Ces derniers sont étudiés par des chercheurs qui ont consacré des années d'études à ce milieu complexe et fascinant.

Geography --- port --- aménagement du territoire --- modèle portuaire --- marin --- docker

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Discover how a software engineer can leverage Docker in order to expedite development velocity. This book focuses on the fundamental concepts this program is built upon and explores how it can help you get your services up and running inside Docker containers. You'll also review tips on how to debug microservices applications that run inside Docker containers. Tech companies are now developing complex softwares that are comprised of multiple services running on different platforms, and Docker has become an essential part of coordinating the communication between these services and platforms. This book addresses problems caused by drifting microservices, debugging across services, inconsistent environments across machines, and coordinating development of machine learning systems between a team of developers, etc. Accelerating Development Velocity Using Docker puts you on the path to transforming your complex systems into more efficient ones.

Computer architecture. Operating systems --- Open Source --- Docker --- machine learning --- computers

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Follow this handbook to build, configure, tune, and secure Apache Cassandra databases. Start with the installation of Cassandra and move on to the creation of a single instance, and then a cluster of Cassandra databases. Cassandra is increasingly a key player in many big data environments, and this book shows you how to use Cassandra with Apache Spark, a popular big data processing framework. Also covered are day-to-day topics of importance such as the backup and recovery of Cassandra databases, using the right compression and compaction strategies, and loading and unloading data. Expert Apache Cassandra Administration provides numerous step-by-step examples starting with the basics of a Cassandra database, and going all the way through backup and recovery, performance optimization, and monitoring and securing the data. The book serves as an authoritative and comprehensive guide to the building and management of simple to complex Cassandra databases. The book: Takes you through building a Cassandra database from installation of the software and creation of a single database, through to complex clusters and data centers Provides numerous examples of actual commands in a real-life Cassandra environment that show how to confidently configure, manage, troubleshoot, and tune Cassandra databases Shows how to use the Cassandra configuration properties to build a highly stable, available, and secure Cassandra database that always operates at peak efficiency What You'll Learn: Install the Cassandra software and create your first database Understand the Cassandra data model, and the internal architecture of a Cassandra database Create your own Cassandra cluster, step-by-step Run a Cassandra cluster on Docker Work with Apache Spark by connecting to a Cassandra database Deploy Cassandra clusters in your data center, or on Amazon EC2 instances Back up and restore mission-critical Cassandra databases Monitor, troubleshoot, and tune production Cassandra databases, and cut your spending on resources such as memory, servers, and storage.

Information systems --- Docker --- Apache (informatica) --- big data --- database management --- gegevensanalyse

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Learn the key differences between containers and virtual machines. Adopting a project based approach, this book introduces you to a simple Python application to be developed and containerized with Docker. After an introduction to Containers and Docker you'll be guided through Docker installation and configuration. You'll also learn basic functions and commands used in Docker by running a simple container using Docker commands. The book then moves on to developing a Python based Messaging Bot using required libraries and virtual environment where you'll add Docker Volumes to your project, ensuring your container data is safe. You'll create a database container and link your project to it and finally, bring up the Bot-associated database all at once with Docker Compose. .

Programming --- Computer architecture. Operating systems --- Computer. Automation --- websites --- Python (informatica) --- Docker --- computers --- software engineering

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Create generic pipelines to reduce your overall DevOps workload and allow your team to deliver faster. This book helps you get up to speed on the pros and cons of generic pipeline methodology, and learn to combine shell scripts and Docker to build generic pipelines. In today’s world of micro-services and agile practices, DevOps teams need to move as fast as feature teams. This can be extremely challenging if you’re creating multiple pipelines per application or tech stack. What if your feature teams could utilize a generic pipeline that could build, test, and deploy any application, regardless of tech stack? What if that pipeline was also cloud and platform agnostic? Too good to be true? Well think again! Generic Pipelines Using Docker explores the principles and implementations that allow you to do just that. You will learn from real-world examples and reusable code. After reading this book you will have the knowledge to build generic pipelines that any team can use. What You'll Learn: Explore the pros and cons of generic pipeline methodology Combine shell scripts and Docker to build a generic pipeline Implement a pipeline across CI/CD platforms Build a pipeline that lends itself well to both centralized and federated DevOps teams Construct a modular pipeline with components that can be added, removed, or replaced as needed This book is for professionals who use DevOps or are part of a DevOps team, and are seeking ways to streamline their pipelines and drive more deployments while using less code. Brandon Atkinson is a software engineer with more than 14 years of industry experience encompassing analysis, design, development, and implementation of enterprise-level solutions. He is passionate about building teams that scale and enterprise architectures that transforms businesses. He has extensive experience using Azure, AWS, .NET, DevOps, Cloud, JavaScript, Angular, Node.js, and more. Dallas Edwards has more than 10 years of experience as a software engineer. He thrives on creating solutions that are pragmatic, scale easily, and that are easy to test and maintain. His experience encompasses a wide range of expertise, including software development, iOS application development, and DevOps.

Programming --- Computer architecture. Operating systems --- Computer. Automation --- Javascript (informatica) --- cloud computing --- Docker --- Agile --- iOS --- computerprogramma's --- programmeertalen --- software engineering --- Java (informatica)