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Cloud Computing: Implementation, Management, and Security
Cloud Computing: Implementation, Management, and Security provides an understanding of what cloud computing really means, explores how disruptive it may become in the future, and examines its advantages and disadvantages. It gives business executives the knowledge necessary to make informed, educated decisions regarding cloud initiatives.The authors first discuss the evolution of computing from a historical perspective, focusing primarily on advances that led to the development of cloud computing. They then survey some of the critical components that are necessary to make the cloud computing paradigm feasible. They also present various standards based on the use and implementation issues surrounding cloud computing and describe the infrastructure management that is maintained by cloud computing service providers. After addressing significant legal and philosophical issues, the book concludes with a hard look at successful cloud computing vendors.Helping to overcome the lack of understanding currently preventing even faster adoption of cloud computing, this book arms readers with guidance essential to make smart, strategic decisions on cloud initiatives.
Published by: CRC Press | Publication date: 04/19/2016
Kindle book details: Kindle Edition, 340 pages

Big-Data Analytics for Cloud, IoT and Cognitive Computing
The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools.
  • The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies
  • Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs
  • Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies
  • Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning
  • Features a companion website with an instructor manual and PowerPoint slides
Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource. 
Published by: Wiley | Publication date: 03/17/2017
Kindle book details: Kindle Edition, 432 pages

Federal Cloud Computing: The Definitive Guide for Cloud Service Providers
Federal Cloud Computing: The Definitive Guide for Cloud Service Providers, Second Edition offers an in-depth look at topics surrounding federal cloud computing within the federal government, including the Federal Cloud Computing Strategy, Cloud Computing Standards, Security and Privacy, and Security Automation. You will learn the basics of the NIST risk management framework (RMF) with a specific focus on cloud computing environments, all aspects of the Federal Risk and Authorization Management Program (FedRAMP) process, and steps for cost-effectively implementing the Assessment and Authorization (A&A) process, as well as strategies for implementing Continuous Monitoring, enabling the Cloud Service Provider to address the FedRAMP requirement on an ongoing basis. This updated edition will cover the latest changes to FedRAMP program, including clarifying guidance on the paths for Cloud Service Providers to achieve FedRAMP compliance, an expanded discussion of the new FedRAMP Security Control, which is based on the NIST SP 800-53 Revision 4, and maintaining FedRAMP compliance through Continuous Monitoring. Further, a new chapter has been added on the FedRAMP requirements for Vulnerability Scanning and Penetration Testing.
  • Provides a common understanding of the federal requirements as they apply to cloud computing
  • Offers a targeted and cost-effective approach for applying the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF)
  • Features both technical and non-technical perspectives of the Federal Assessment and Authorization (A&A) process that speaks across the organization
Published by: Syngress | Publication date: 01/05/2017
Kindle book details: Kindle Edition, 536 pages

The Significant Concepts of Cloud Computing: Technology, Architecture, Applications, and Security
Everybody has a supposition on what is a Cloud computing. Cloud computing is a modern area emerged by distributed computing that offers many powerful benefits to different organizations. It has an ability to rent a server or a thousand of servers via information technology (IT) services whole the world. The capabilities of Cloud computing are obtained by running a geophysical modeling application on most powerful systems. Organizations can improve their efficiency to quickly and reliably respond to the needs of their customers. It is performed by making a contract for various Cloud services such as applications, software, data storages, and processing capabilities. There are some risks in Cloud-based servers such as maintaining the security of systems, asserting the privacy of information, and insuring the wise expenditures of IT resources. Cloud technology causes the dedicated services to be always on, occurring on the running systems to be upgraded, and accordance with demand to be scaled considerably. Cloud computing involves a range of underlying technologies and configuration options instead of being as a single system. Organizations should consider the strengths and weaknesses of the Cloud technology, service models, and deployment methods through evaluating services to meet their requirements.A Cloud system can extremely store and secure large amounts of data that is accessible only by authorized users and applications. It is supported and sponsored by a Cloud service provider which installs a powerful platform on the Cloud systems. The platform involves some of the required abilities such as the operating system, Apache, a MySQL database, Perl, Python, and PHP with a capability for automatically scaling in response to changing the different workloads. Cloud computing can utilize some applications such as sales automation, email, and forum management on the Internet. Internet can protect data while providing a consumer’s service as well it is able to utilize the Cloud storage for holding an application, personal data, and business. A Cloud system with the aid of the Internet can use a small number of Web services in order to integrate maps, photos, and GPS information.This book discusses about the main concepts of Cloud computing. It is an appropriate tutorial for ordinary and professional people to acquire some required information about Cloud technology. Chapter 1 introduces the overall and fundamental characteristic of Cloud systems such as Web services, Grid computing, and hardware virtualization. In Chapter 2, the architectures of Cloud computing including the deployment models and the service models defined for Cloud-based servers are described carefully. Chapter 3 explains various applications of Cloud computing in various applications such as file storage, Cloud database, and email. In Chapter 4, some popular consumer applications designed by Cloud-based systems such as Evernote, iCloud, and Spotify are represented completely. Chapter 5 discusses about the different usages of Cloud servers such Cloud monitoring, healthcare, and banking. In Chapter 6, the security issues of Cloud computing such as privacy, reliability, and compliance are presented carefully. Chapter 7 points out the famous simulation tools designed for Cloud-based issues such as CloudSim, Xen hypervisor, and UEC. Finally, Chapter 8 introduces some well-liked companies established for Cloud-based usages such as CloudLock, CloudMunch, and CloudPhysics.I hope that this book can help to ordinary people and professional researchers to design and implement various applications with Cloud technology. Undoubtedly, this book like any humanistic product is not devoid of any problem. Hence, the next version of this book can be published more appropriate than current version according to valuable suggestions of dear readers. I wish that this book can assist to computer science to design complex systems and to solve some of the exiting problems.
Publication date: 11/17/2015
Kindle book details: Kindle Edition, 120 pages

Cloud Native Architectures: Designing for cost, performance, and high availability
Learn how to migrate your business to the cloud efficiently using this practical guideKey Features
  • Gain an understanding of the core design elements to build scalable and highly available systems in the cloud
  • Plan resources and technology stacks effectively to ensure the highest security, availability, and fault tolerance
  • A hands-on guide that covers core architectural principles using real-world examples and use cases
Book DescriptionCloud computing has proven to be the most revolutionary IT development since virtualization, with more disruptive effects. As the services offered by cloud vendors expand and mature, enterprises of all sizes are finding that their old development models and architectures do not port to cloud. In order to truly harness the value proposition that the public cloud has to offer, businesses need to refresh. In this book, we seek to demonstrate three essential components of deploying truly modern, cloud native architectures: organizational transformation, deployment modernization, and cloud native architecture patterns.The book starts with a quick introduction to Cloud Native architectures that is used as a base to define and explain what cloud native architecture is and is not. You will learn what a cloud adoption framework looks like and develop cloud native architectures using microservices and serverless computing as design principles. The book dives deep into major pillars of cloud native design that includes scalability, cost optimization, security, and ways to achieve operational excellence. You will learn about various public cloud architectures ranging from AWS, Azure to Google Cloud Platform.Finishing off with a discussion on future trends and expectations from cloud providers, this book will equip you to adopt cloud native architectures that meet your business requirements.What you will learn
  • Recognize a cloud native architecture versus traditional architecture
  • Explore the aspects of migration, when to use this approach, and why you would want to
  • Identify the elements to consider when selecting a technology for your architecture
  • Automating security controls and configuration management
  • Use infrastructure as code and CICD pipelines to run environments in a sustainable manner
  • Understand the management and monitoring capabilities for AWS Cloud native application architectures
Who This Book Is ForSoftware architects who want to design resilient, scalable and highly available applications that are native to the cloud, will find this book interesting.
Published by: Packt Publishing | Publication date: 07/10/2018
Kindle book details: Kindle Edition, 462 pages

Learning SAP Analytics Cloud: Collaborate, predict and solve business intelligence problems with cloud computing
Key Features
  • Predict new opportunities and risks in a few mouse clicks
  • Eliminate complexity with tools that let you plan, analyze, and collaborate in context—in real time
  • Discover, visualize, plan, and predict in a single product with agile BI tools
Book DescriptionThe book starts with the basics of SAP Analytics Cloud (formerly known as SAP BusinessObjects Cloud) and exposes almost every significant feature a beginner needs to master. Packed with illustrations and short, essential, to-the-point descriptions, the book provides a unique learning experience. Your journey of exploration starts with a basic introduction to the SAP Analytics Cloud platform. You will then learn about different segments of the product, such as Models, Stories, Digital Boardroom, and so on. Then, you are introduced to the product's interface: the Home screen, the main menu, and more. Then comes the hands-on aspect of the book, which starts with model creation. Next, you learn how to utilize a model to prepare different types of stories(reports) with the help of charts, tables, Geo Maps, and more. In the final chapters of this book, you will learn about Digital Boardroom, Collaboration, and Administration.What you will learn
  • A clear understanding of SAP Analytics Cloud platform
  • Create data models using different data sources, including Excel and text files .
  • Present professional analyses using different types of charts, tables, geo maps, and more
  • Using stories, drill up and down instantly to analyze data from various angles
  • Share completed stories with other team members or compile them in SAP Digital Boardroom agendas for presentation to major stakeholders
  • Export the results of a story to a PDF file
  • Save time by planning, analyzing, predicting, and collaborating in context
  • Discover, visualize, plan, and predict in one product as opposed to separate solutions
About the AuthorRiaz Ahmed is an IT professional with more than 25 years of experience in the field. He started his career in the early 1990s as a programmer and has been employed in a wide variety of information technology positions, including analyst programmer, system analyst, project manager, data architect, database designer, and senior database administrator. Currently, he is working as the head of IT for a group of companies. His core areas of interest include web-based development technologies, business intelligence, and databases. Riaz possesses extensive experience in database design and development. He has worked intensively with almost all the major RDBMSs in the market today. During his career, he designed and implemented numerous databases for a wide range of applications, including ERP.Table of Contents
  • Getting Started with SAP BusinessObjects Cloud
  • Models in SAP BusinessObjects Cloud
  • Planning Model and Connections
  • Creating Stories Using Charts
  • Adding KPIs and Filters to Stories
  • Analyzing Data using Geo Maps and ScatterPlot Chart
  • Working with Tables and Applying Ranking
  • Creating Events and Tasks Workflow with Collaboration Stories
  • Digital Boardroom
  • System Administration
  • Author: Riaz Ahmed
    Published by: Packt Publishing | Publication date: 07/10/2017
    Kindle book details: Kindle Edition, 420 pages

    Cloud Computing Networking: Theory, Practice, and Development
    Cloud computing is the most significant technology transformation since the introduction of the Internet in the early 1990s. As more and more companies and educational institutions plan to adopt a cloud-based IT infrastructure, today’s job market requires IT professionals who understand cloud computing and have hands-on experience developing cloud-based networks. Cloud Computing Networking: Theory, Practice, and Development covers the key networking and system administration concepts as well as the vital hands-on skills you need to master cloud technology.This book is designed to help you quickly get started in deploying cloud services for a real-world business. It provides detailed step-by-step instructions for creating a fully functioning cloud-based IT infrastructure using the Microsoft Azure cloud platform. In this environment, you can develop cloud services collaboratively or individually. The book enhances your hands-on skills through numerous lab activities. In these lab activities, you will learn to
    • Implement the following services in a cloud environment: Active Directory, DHCP, DNS, and Certificate Services
    • Configure Windows Server so it can route IP traffic
    • Implement IP Security Policy and Windows Firewall with Advanced Security tools
    • Create a point-to-site connection between Microsoft Azure and a local computer
    • Create a site-to-site connection between Microsoft Azure and an on-premises network
    • Develop a hybrid cloud that integrates Microsoft Azure with a private cloud created on a local network
    Cloud Computing Networking: Theory, Practice, and Development includes numerous examples, figures, and screen shots to help you understand the information. Each chapter concludes with a summary of the major topics and a set of review questions. With this book, you will soon have the critical knowledge and skills to develop and manage cloud-based networks.
    Author: Lee Chao
    Published by: Auerbach Publications | Publication date: 09/22/2015
    Kindle book details: Kindle Edition, 527 pages

    Cloud-Native Applications in Java: Build microservice-based cloud-native applications that dynamically scale
    Highly available microservice-based web apps for Cloud with Java Key Features
    • Take advantage of the simplicity of Spring to build a full-fledged application
    • Let your applications run faster while generating smaller cloud service bills
    • Integrate your application with various tools such as Docker and ElasticSearch and use specific tools in Azure and AWS
    Book Description Businesses today are evolving so rapidly that they are resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This means developers now are faced with the challenge of building build applications that are native to the cloud. For this, they need to be aware of the environment, tools, and resources they’re coding against. If you’re a Java developer who wants to build secure, resilient, robust, and scalable applications that are targeted for cloud-based deployment, this is the book for you. It will be your one stop guide to building cloud-native applications in Java Spring that are hosted in On-prem or cloud providers - AWS and Azure The book begins by explaining the driving factors for cloud adoption and shows you how cloud deployment is different from regular application deployment on a standard data centre. You will learn about design patterns specific to applications running in the cloud and find out how you can build a microservice in Java Spring using REST APIs You will then take a deep dive into the lifecycle of building, testing, and deploying applications with maximum automation to reduce the deployment cycle time. Gradually, you will move on to configuring the AWS and Azure platforms and working with their APIs to deploy your application. Finally, you’ll take a look at API design concerns and their best practices. You’ll also learn how to migrate an existing monolithic application into distributed cloud native applications. By the end, you will understand how to build and monitor a scalable, resilient, and robust cloud native application that is always available and fault tolerant. What you will learn
    • See the benefits of the cloud environment when it comes to variability, provisioning, and tooling support
    • Understand the architecture patterns and considerations when developing on the cloud
    • Find out how to perform cloud-native techniques/patterns for request routing, RESTful service creation, Event Sourcing, and more
    • Create Docker containers for microservices and set up continuous integration using Jenkins
    • Monitor and troubleshoot an application deployed in the cloud environment
    • Explore tools such as Docker and Kubernetes for containerization and the ELK stack for log aggregation and visualization
    • Use AWS and Azure specific tools to design, develop, deploy, and manage applications
    • Migrate from monolithic architectures to a cloud native deployment
    Who this book is for Java developers who want to build secure, resilient, robust and scalable applications that are targeted for cloud based deployment, will find this book helpful. Some knowledge of Java, Spring, web programming and public cloud providers (AWS, Azure) should be sufficient to get you through the book. Table of Contents
  • Introduction to Cloud Native
  • Building your first Cloud Native Application
  • Designing Cloud Native Applications
  • Extending your Cloud Native Application
  • Cloud Native Application Testing
  • DevOps and Deployment
  • Cloud Native Application Run Time
  • Platform deployment AWS
  • Platformdeployment Azure
  • As a Service Integration
  • API Design Best Practices
  • Digital Transformation
  • Published by: Packt Publishing | Publication date: 02/26/2018
    Kindle book details: Kindle Edition, 406 pages

    The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future
    A New York Times BestsellerFrom one of our leading technology thinkers and writers, a guide through the twelve technological imperatives that will shape the next thirty years and transform our livesMuch of what will happen in the next thirty years is inevitable, driven by technological trends that are already in motion. In this fascinating, provocative new book, Kevin Kelly provides an optimistic road map for the future, showing how the coming changes in our lives—from virtual reality in the home to an on-demand economy to artificial intelligence embedded in everything we manufacture—can be understood as the result of a few long-term, accelerating forces. Kelly both describes these deep trends—interacting, cognifying, flowing, screening, accessing, sharing, filtering, remixing, tracking, and questioning—and demonstrates how they overlap and are codependent on one another. These larger forces will completely revolutionize the way we buy, work, learn, and communicate with each other. By understanding and embracing them, says Kelly, it will be easier for us to remain on top of the coming wave of changes and to arrange our day-to-day relationships with technology in ways that bring forth maximum benefits. Kelly’s bright, hopeful book will be indispensable to anyone who seeks guidance on where their business, industry, or life is heading—what to invent, where to work, in what to invest, how to better reach customers, and what to begin to put into place—as this new world emerges.From the Hardcover edition.
    Author: Kevin Kelly
    Published by: Penguin Books | Publication date: 06/07/2016
    Kindle book details: Kindle Edition, 334 pages

    Cloud Native Infrastructure: Patterns for Scalable Infrastructure and Applications in a Dynamic Environment
    Cloud native infrastructure is more than servers, network, and storage in the cloud—it is as much about operational hygiene as it is about elasticity and scalability. In this book, you’ll learn practices, patterns, and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications.Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes.With this book, you will:
    • Understand why cloud native infrastructure is necessary to effectively run cloud native applications
    • Use guidelines to decide when—and if—your business should adopt cloud native practices
    • Learn patterns for deploying and managing infrastructure and applications
    • Design tests to prove that your infrastructure works as intended, even in a variety of edge cases
    • Learn how to secure infrastructure with policy as code
    Published by: O'Reilly Media | Publication date: 10/25/2017
    Kindle book details: Kindle Edition, 160 pages
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