Oracle VM Manager 2.1.2. Manage a Flexible and Elastic Data Center with Oracle VM Manager using this book and

Tarry Singh

Virtualization is taking the technology world by storm and dramatically helping organizations save money. Oracle VM is free and forked from the open source Xen hypervisor, which brings down your upfront costs for an agile data center. The robust capabilities and easy-to-use web interface of Oracle VM Manager helps administrators manage their Internal Data Center from anywhere in the world, helping us come closer to ubiquitous computing.This practical book will give you hands-on experience on how to manage your Virtual Machines using Oracle VM Manager. Equipped with step-by-step installation and management information you will not only learn to manage your Virtual Data Center but also will include this guide among the books you consider most essential.This book will take you into the various methods of importing Virtual Machines. You will learn to import VMs through HTTP/FTP, Repository servers, and even import other VM formats such as VMware VMs. You will also learn about the Xen utilities such as xm, xentop, and virsh. You will learn to manage your VMs through the simple and intuitive web interface of Oracle VM Manager. No matter how compact it may seem, this book covers all the essentials while keeping your learning experience to the point. The book has been deliberately written in a conversational manner so that you feel at home while learning Oracle VM Manager.

The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems

Alessandro Palmas, Emanuele Ghelfi, Dr. Alexandra Galina Petre, Mayur Kulkarni, ...

Various intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models.Starting with an introduction to RL, youÔÇÖll be guided through different RL environments and frameworks. YouÔÇÖll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once youÔÇÖve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, youÔÇÖll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, youÔÇÖll find out when to use a policy-based method to tackle an RL problem.By the end of The Reinforcement Learning Workshop, youÔÇÖll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning.

Learning OpenCV 3 Application Development

Samyak Datta

Computer vision and machine learning concepts are frequently used in practical computer vision based projects. If you’re a novice, this book provides the steps to build and deploy an end-to-end application in the domain of computer vision using OpenCV/C++. At the outset, we explain how to install OpenCV and demonstrate how to run some simple programs. You will start with images (the building blocks of image processing applications), and see how they are stored and processed by OpenCV. You’ll get comfortable with OpenCV-specific jargon (Mat Point, Scalar, and more), and get to know how to traverse images and perform basic pixel-wise operations. Building upon this, we introduce slightly more advanced image processing concepts such as filtering, thresholding, and edge detection. In the latter parts, the book touches upon more complex and ubiquitous concepts such as face detection (using Haar cascade classifiers), interest point detection algorithms, and feature descriptors. You will now begin to appreciate the true power of the library in how it reduces mathematically non-trivial algorithms to a single line of code!The concluding sections touch upon OpenCV’s Machine Learning module. You will witness not only how OpenCV helps you pre-process and extract features from images that are relevant to the problems you are trying to solve, but also how to use Machine Learning algorithms that work on these features to make intelligent predictions from visual data!

Oracle Coherence 3.5. Create Internet-scale applications using Oracle’s high-performance data grid

Patrick Peralta, Mark Falco, Aleksandar Seovic

Scalability, performance, and reliability have to be designed into an application from the very beginning, as there may be substantial cost or implementation consequences if they need to be added down the line. This indispensible book will teach you how to achieve these things using Oracle Coherence, a leading data grid product on the market.Authored by leading Oracle Coherence authorities, this essential book will teach you how to use Oracle Coherence to build high-performance applications that scale to hundreds of machines and have no single points of failure. You will learn when and how to use Coherence features such as distributed caching, parallel processing, and real-time events within your application, and understand how Coherence fits into the overall application architecture. Oracle Coherence provides a solid architectural foundation for scalable, high-performance and highly available enterprise applications, through features such as distributed caching, parallel processing, distributed queries and aggregations, real-time events, and the elimination of single points of failure.However, in order to take full advantage of these features, you need to design your application for Coherence from the beginning. Based on the authors' extensive knowledge of Oracle Coherence, and how to use it in the real world, this book will provide you with all the information you need in order to leverage various Coherence features properly. It contains a collection of best practice-based solutions and mini-frameworks that will allow you to be more productive from the very beginning.The early chapters cover basics like installation guidelines and caching topologies, before moving on to the domain model implementation guidelines, distributed queries and aggregations, parallel processing, and real-time events. Towards the end, you learn how to integrate Coherence with different persistence technologies, how to access Coherence from platforms other than Java, and how to test and debug classes and applications that depend on Coherence.

Enterprise Security: A Data-Centric Approach to Securing the Enterprise. A guide to applying data-centric security concepts for securing enterprise data to enable an agile enterprise

Aaron Woody

Enterprise security redefined using a data-centric approach and trust models to transform information security into a business enablement process. It is a unique and forward thinking approach for deciding the best method to secure data in the enterprise, the cloud, and in BYOD environments.Enterprise Security: A Data-Centric Approach to Securing the Enterprise will guide you through redefining your security architecture to be more affective and turn information security into a business enablement process rather than a roadblock. This book will provide you with the areas where security must focus to ensure end-to-end security throughout the enterprise-supporting enterprise initiatives such as cloud and BYOD. Enterprise Security: A Data-Centric Approach to Securing the Enterprise will first introduce the reader to a new security architecture model and then explores the must have security methods and new tools that can used to secure the enterprise.This book will take a data-centric approach to securing the enterprise through the concept of Trust Models and building a layered security implementation focused on data. This is not your traditional security book focused on point solutions and the network aspect of security. This book combines best practice methods with new methods to approach enterprise security and how to remain agile as the enterprise demands more access to data from traditionally untrusted assets, hosted solutions, and third parties. Applied Information Security - A Data-Centric Approach to Securing the Enterprise will provide the reader an easy-to-follow flow from architecture to implementation, diagrams and recommended steps, and resources for further research and solution evaluation.This book is a reference and guide for all levels of enterprise security programs that have realized that non-data centric security is no longer practical and new methods must be used to secure the most critical assets in the enterprise.

Hands-On Microservices with JavaScript. Build scalable web applications with JavaScript, Node.js, and Docker

Tural Suleymani

Keep up with the ever-evolving web development landscape by mastering JavaScript microservices with expert guidance from Tural Suleymani—a full-stack software engineer, architect, software development teacher, Microsoft MVP, and three-time C# Corner MVP. He distills over a decade of experience crafting high-performance, scalable solutions into this guide. He’ll walk you through the fundamentals of microservices, providing a solid foundation in architecture, design principles, and the necessary tools and technologies. From beginners to seasoned developers, this book offers a clear pathway to mastering microservices with JavaScript.With the help of hands-on tasks that simulate real-world scenarios, you’ll learn how to build reliable and scalable microservices. You’ll explore synchronous and asynchronous communication, real-time data streaming, and how to secure and monitor your services. The book’s emphasis on a design-first approach ensures that your microservices are maintainable and future-proof. Detailed case studies from industry experts will enhance your learning experience and provide practical insights into building microservices in production environments.By the end of this book, you'll be ready to create cloud-ready, high-performing microservices using cutting-edge JavaScript frameworks and tools and tackle real-world challenges, ensuring your applications are secure and efficient.

Microsoft Azure Machine Learning. Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks

Sumit Mund, Christina Storm

Configuring Windows Server Hybrid Advanced Services Exam Ref AZ-801. Configure advanced Windows Server services for on-premises, hybrid, and cloud environments

Chris Gill, Shannon Kuehn

Configuring Windows Server Hybrid Advanced Services Exam Ref AZ-801 helps you master various cloud and data center management concepts in detail, helping you grow your expertise in configuring and managing Windows Server in on-premises, hybrid, and cloud-based workloads. Throughout the book, you'll cover all the topics needed to pass the AZ-801 exam and use the skills you acquire to advance in your career.With this book, you’ll learn how to secure your on-premises Windows Server resources and Azure IaaS workloads. First, you’ll explore the potential vulnerabilities of your resources and learn how to fix or mitigate them. Next, you'll implement high availability Windows Server virtual machine workloads with Hyper-V Replica, Windows Server Failover Clustering, and Windows File Server.You’ll implement disaster recovery and server migration of Windows Server in on-premises and hybrid environments. You’ll also learn how to monitor and troubleshoot Windows Server environments.By the end of this book, you'll have gained the knowledge and skills required to ace the AZ-801 exam, and you'll have a handy, on-the-job desktop reference guide.