Openstack Cloud Computing Dentreprise Infrastructure As A Service Iaas Enjeux Ecosysteme Solutions Xaas Design Et Installation Devops Book PDF, EPUB Download & Read Online Free


Openstack : Cloud-computing d'entreprise, Infrastructure as a Service (IaaS)

Openstack : Cloud-computing d'entreprise, Infrastructure as a Service (IaaS)
Author: Sébastien Déon
Publisher:
ISBN: 2746097419
Pages: 435
Year: 2015-09-09
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Ce livre est centré sur l'univers du Cloud Computing d'entreprise et de l'Infrastructure as a Service (IaaS) avec la solution open-source OpenStack. Il est avant tout destiné à une audience spécialisée en IT (du débutant à l'expert) souhaitant avoir une vision large du monde du cloud computing illustrée par la construction détaillée et les modalités d'installation d'une IaaS basée sur OpenStack. Il s'adresse également, dans ses chapitres plus généralistes, à un public orienté métier (direction générale, marketing, direction financière, direction de production.) qui souhaite comprendre les enjeux de la transformation profonde de l'IT imposée par le cloud et par l'automatisation de la production de services applicatifs. L'auteur a choisi une approche mixant théorie et pratique dans une démarche progressive permettant de réunir le meilleur des deux mondes de l'IT : les Devs et les Ops. Les sujets sont présentés avec de nombreux exemples pratiques qui, pour être implémentés, nécessitent des connaissances sur le système Linux et sur les réseaux TCP/IP. Les trois premiers chapitres, généralistes, permettent d'entrer progressivement dans le monde du cloud computing. Le quatrième chapitre est une transition vers les parties plus techniques avec la présentation des composants majeurs de la solution OpenStack. Les chapitres 5 et 6 rentrent au coeur d'OpenStack avec les processus d'installation, d'administration et d'utilisation et sont naturellement suivis d'un chapitre qui explique les différents types d'architectures OpenStack qu'il est possible d'implémenter. Le huitième chapitre redevient plus généraliste en se positionnant sur la présentation des coûts d'un projet IaaS et les trois derniers chapitres font la transition vers le monde du PaaS (Platform as a Service) : construction des catalogues de services, passage du IaaS au PaaS, culture DevOps.

Docker Cookbook

Docker Cookbook
Author: Sébastien Goasguen
Publisher: "O'Reilly Media, Inc."
ISBN: 1491919779
Pages: 366
Year: 2015-11-04
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Whether you’re deploying applications on premise or in the cloud, this cookbook provides developers, operators, and IT professionals with more than 130 proven recipes for working with Docker. With these practical solutions, experienced developers with no previous knowledge of Docker will be able to package and deploy distributed applications within a couple of chapters. IT professionals will be able to solve everyday problems, as well as create, run, share, and deploy Docker images. Operators will quickly be able to adopt the tools that will change the way they work. The recipes in this book will help you: Manage containers, mount data volumes, and link containers Create and share container images Network containers across single or multiple hosts Tackle advanced topics such as Docker configuration and development Deploy multi-container applications on a distributed cluster with Kubernetes Use a new generation of operating systems optimized for Docker Learn tools for application deployment, continuous integration, service discovery, and orchestration Access a Docker host on Amazon AWS, Google GCE, and Microsoft Azure Monitor containers and explore different application use cases

Terraform: Up and Running

Terraform: Up and Running
Author: Yevgeniy Brikman
Publisher: "O'Reilly Media, Inc."
ISBN: 1491977051
Pages: 206
Year: 2017-03-13
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Terraform has emerged as a key player in the DevOps world for defining, launching, and managing infrastructure as code (IAC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, and Azure. This hands-on book is the fastest way to get up and running with Terraform. Gruntwork co-founder Yevgeniy (Jim) Brikman walks you through dozens of code examples that demonstrate how to use Terraform’s simple, declarative programming language to deploy and manage infrastructure with just a few commands. Whether you’re a novice developer, aspiring DevOps engineer, or veteran sysadmin, this book will take you from Terraform basics to running a full tech stack capable of supporting a massive amount of traffic and a large team of developers. Compare Terraform to other IAC tools, such as Chef, Puppet, Ansible, and Salt Stack Use Terraform to deploy server clusters, load balancers, and databases Learn how Terraform manages the state of your infrastructure and how it impacts file layout, isolation, and locking Create reusable infrastructure with Terraform modules Try out advanced Terraform syntax to implement loops, if-statements, and zero-downtime deployment Use Terraform as a team, including best practices for writing, testing, and versioning Terraform code

Mastering OpenStack

Mastering OpenStack
Author: Omar Khedher
Publisher: Packt Publishing Ltd
ISBN: 1784397210
Pages: 400
Year: 2015-07-30
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This comprehensive guide will help you to choose the right practical option and make strategic decisions about the OpenStack cloud environment to fit your infrastructure in production. At the start, this book will explain the OpenStack core architecture. You will soon be shown how to create your own OpenStack private cloud. Next, you will move on to cover the key security layer and network troubleshooting skills, along with some advanced networking features. Finally, you will gain experience of centralizing and logging OpenStack. The book will show you how to carry out performance tuning based on OpenStack service logs. By the end of this book, you will be ready to take steps to deploy and manage an OpenStack cloud with the latest open source technologies.

Python Data Science Essentials

Python Data Science Essentials
Author: Alberto Boschetti, Luca Massaron
Publisher: Packt Publishing Ltd
ISBN: 1786462834
Pages: 378
Year: 2016-10-28
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Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience Who This Book Is For If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills. What You Will Learn Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux Get data ready for your data science project Manipulate, fix, and explore data in order to solve data science problems Set up an experimental pipeline to test your data science hypotheses Choose the most effective and scalable learning algorithm for your data science tasks Optimize your machine learning models to get the best performance Explore and cluster graphs, taking advantage of interconnections and links in your data In Detail Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users. Style and approach The book is structured as a data science project. You will always benefit from clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.

A Guide to MATLAB®

A Guide to MATLAB®
Author: Brian R. Hunt, Ronald L. Lipsman, Jonathan M. Rosenberg
Publisher: Cambridge University Press
ISBN: 1139993585
Pages:
Year: 2014-08-21
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Now in its third edition, this outstanding textbook explains everything you need to get started using MATLAB®. It contains concise explanations of essential MATLAB commands, as well as easily understood instructions for using MATLAB's programming features, graphical capabilities, simulation models, and rich desktop interface. MATLAB 8 and its new user interface is treated extensively in the book. New features in this edition include: a complete treatment of MATLAB's publish feature; new material on MATLAB graphics, enabling the user to master quickly the various symbolic and numerical plotting routines; and a robust presentation of MuPAD® and how to use it as a stand-alone platform. The authors have also updated the text throughout, reworking examples and exploring new applications. The book is essential reading for beginners, occasional users and experienced users wishing to brush up their skills. Further resources are available from the authors' website at www-math.umd.edu/schol/a-guide-to-matlab.html.

Secure Multiparty Computation

Secure Multiparty Computation
Author: Ronald Cramer, Ivan Bjerre Damgård, Jesper Buus Nielsen
Publisher: Cambridge University Press
ISBN: 1107043050
Pages: 381
Year: 2015-07-15
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This book provides information on theoretically secure multiparty computation (MPC) and secret sharing, and the fascinating relationship between the two concepts.

OpenStack Essentials

OpenStack Essentials
Author: Dan Radez
Publisher: Packt Publishing Ltd
ISBN: 1786462206
Pages: 182
Year: 2016-08-31
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Untangle the complexity of OpenStack clouds through this practical tutorial About This Book Navigate through the complex jungle of components in OpenStack using practical instructions This book helps administrators, cloud engineers, and even developers to consolidate and control pools of compute, networking, and storage resources Learn to use the centralized dashboard and administration panel to monitor large-scale deployments Who This Book Is For This book is perfect for administrators, cloud engineers, and operators who want to get started with OpenStack, solve basic problems encountered during deployment, and get up to speed with the latest release of OpenStack. Familiarity with the Linux command line and experience with Linux system administration is expected. What You Will Learn Brush up on the latest release, and how it affects the various components Install OpenStack using the Packstack and RDO Manager installation tool Learn to convert a computer node that supports Docker containers Implement Ceph Block Device images with OpenStack Create and allocate virtual networks, routers and IP addresses to OpenStack Tenants. Configuring and Launching a Docker container. In Detail OpenStack is a widely popular platform for cloud computing. Applications that are built for this platform are resilient to failure and convenient to scale. This book, an update to our extremely popular OpenStack Essentials (published in May 2015) will help you master not only the essential bits, but will also examine the new features of the latest OpenStack release - Mitaka; showcasing how to put them to work straight away. This book begins with the installation and demonstration of the architecture. This book will tech you the core 8 topics of OpenStack. They are Keystone for Identity Management, Glance for Image management, Neutron for network management, Nova for instance management, Cinder for Block storage, Swift for Object storage, Ceilometer for Telemetry and Heat for Orchestration. Further more you will learn about launching and configuring Docker containers and also about scaling them horizontally. You will also learn about monitoring and Troubleshooting OpenStack. Style and approach This book offers step-by-step practical instructions to help you quickly navigate through the complexities of OpenStack

Beginning Spring

Beginning Spring
Author: Mert Caliskan, Kenan Sevindik
Publisher: John Wiley & Sons
ISBN: 1118893034
Pages: 480
Year: 2015-01-29
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Get up to speed quickly with this comprehensive guide to Spring Beginning Spring is the complete beginner's guide to Java's most popular framework. Written with an eye toward real-world enterprises, the book covers all aspects of application development within the Spring Framework. Extensive samples within each chapter allow developers to get up to speed quickly by providing concrete references for experimentation, building a skillset that drives successful application development by exploiting the full capabilities of Java's latest advances. Spring provides the exact toolset required to build an enterprise application, and has become the standard within the field. This book covers Spring 4.0, which contains support for Java 8 and Java EE 7. Readers begin with the basics of the framework, then go on to master the most commonly used tools and fundamental concepts inherent in any Spring project. The book emphasizes practicality and real-world application by addressing needs such as meeting customer demand and boosting productivity, and by providing actionable information that helps developers get the most out of the framework. Topics include: Dependency Injection and Inversion of Control Unit testing Spring enabled Web Applications Data Access using Spring JDBC and ORM support along with Transaction Management Building Web Applications and RESTful Web Services with Spring MVC Securing Web Applications using Spring Security Spring Expression Language with its Extensive Features Aspect Oriented Programming Facilities Provided by Spring AOP Caching with 3rd Party Cache Providers’ Support The Best of the Breed: Spring 4.0 The information is organized and structured an ideal way for students and corporate training programs, and explanations about inner workings of the framework make it a handy desk reference even for experienced developers. For novices, Beginning Spring is invaluable as a comprehensive guide to the real-world functionality of Spring.

Doing Math with Python

Doing Math with Python
Author: Amit Saha
Publisher: No Starch Press
ISBN: 1593276400
Pages: 264
Year: 2015
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Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of things. Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science. Learn how to: -Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots -Explore set theory and probability with programs for coin flips, dicing, and other games of chance -Solve algebra problems using Python’s symbolic math functions -Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set -Write programs to find derivatives and integrate functions Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You’ll write an inequality solver, plot gravity’s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 “darts” at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more. Whether you’re interested in math but have yet to dip into programming or you’re a teacher looking to bring programming into the classroom, you’ll find that Python makes programming easy and practical. Let Python handle the grunt work while you focus on the math.

A Course in In-Memory Data Management

A Course in In-Memory Data Management
Author: Hasso Plattner
Publisher: Springer
ISBN: 3642552706
Pages: 312
Year: 2014-05-28
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Recent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of enterprise data. Professor Hasso Plattner and his research group at the Hasso Plattner Institute in Potsdam, Germany, have been investigating and teaching the corresponding concepts and their adoption in the software industry for years. This book is based on an online course that was first launched in autumn 2012 with more than 13,000 enrolled students and marked the successful starting point of the openHPI e-learning platform. The course is mainly designed for students of computer science, software engineering, and IT related subjects, but addresses business experts, software developers, technology experts, and IT analysts alike. Plattner and his group focus on exploring the inner mechanics of a column-oriented dictionary-encoded in-memory database. Covered topics include - amongst others - physical data storage and access, basic database operators, compression mechanisms, and parallel join algorithms. Beyond that, implications for future enterprise applications and their development are discussed. Step by step, readers will understand the radical differences and advantages of the new technology over traditional row-oriented, disk-based databases. In this completely revised 2nd edition, we incorporate the feedback of thousands of course participants on openHPI and take into account latest advancements in hard- and software. Improved figures, explanations, and examples further ease the understanding of the concepts presented. We introduce advanced data management techniques such as transparent aggregate caches and provide new showcases that demonstrate the potential of in-memory databases for two diverse industries: retail and life sciences.

A Cryptography Primer

A Cryptography Primer
Author: Philip N. Klein
Publisher: Cambridge University Press
ISBN: 1139916106
Pages:
Year: 2014-03-17
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Cryptography has been employed in war and diplomacy from the time of Julius Caesar. In our Internet age, cryptography's most widespread application may be for commerce, from protecting the security of electronic transfers to guarding communication from industrial espionage. This accessible introduction for undergraduates explains the cryptographic protocols for achieving privacy of communication and the use of digital signatures for certifying the validity, integrity, and origin of a message, document, or program. Rather than offering a how-to on configuring web browsers and e-mail programs, the author provides a guide to the principles and elementary mathematics underlying modern cryptography, giving readers a look under the hood for security techniques and the reasons they are thought to be secure.

Changes

Changes
Author: Anthony Browne
Publisher: Farrar, Straus and Giroux (BYR)
ISBN: 0374411778
Pages: 32
Year: 2002-09-25
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When Joseph's mother comes home, says his father, things are going to change. And almost at once they do - in the weirdest of ways . . .

The Pocket Guide to Legal Writing

The Pocket Guide to Legal Writing
Author: William H. Putman
Publisher: Cengage Learning
ISBN: 1285607309
Pages: 256
Year: 2005-08-05
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The Pocket Guide to Legal Writing is designed as a desk book for use by practicing paralegals, legal assistants, attorneys, and students. It is a reference book that allows the user to quickly obtain the answer to many commonly encountered writing questions concerning the following subjects: sentence and paragraph drafting, word selection and usage, spelling, numbers, grammar, punctuation, legal citation, legal correspondence, legal research memoranda, and court briefs. It also includes a chapter on the location of various non fee-based internet and other computer based legal research sources. In addition is a chapter discussing the various time deadlines under federal rules of civil and criminal procedure. The book is color coded so information may be easily located and designed to lie flat on a desk next to a computer. It is written in a non technical manner and designed so that it is easy to understand and use by anyone working in a law office. It includes checklist for use in conjunction with the various types of legal writing. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Revision Notes in Intensive Care Medicine

Revision Notes in Intensive Care Medicine
Author: Stuart Gillon, Chris Wright, Cameron Knott, Mark McPhail, Luigi Camporota
Publisher: Oxford University Press
ISBN: 0191069647
Pages: 432
Year: 2016-06-23
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Revision Notes in Intensive Care Medicine is a key resource for candidates preparing for postgraduate intensive care examinations. Mapped to the FFICM, EDIC and FCICM syllabuses, this title ensures candidates have all the information needed to prepare for their examinations. Information is presented in concise note form and bullet points with visually memorable tools, such as tables and diagrams, making revising and retaining key facts easier. Chapters are arranged into physiological systems, such as 'Respiratory Intensive Care' and 'Obstetric Intensive Care', and are subdivided into major clinical issues within each chapter so specific areas of further study can be found easily. Drawing from the authors' experiences as successful candidates, and carefully reviewed by consultants, Revision Notes in Intensive Care Medicine provides the foundation for postgraduate intensive care exam revision.

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