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Implement and manage your software-defined, massively scalable storage system About This Book Explore Ceph's architecture in order to achieve scalability and high availability Learn to utilize Ceph efficiently with the help of practical examples Successfully implement Ceph clusters to scale-out storage solutions along with outstanding data protection Who This Book Is For A basic knowledge of GNU/Linux, and storage systems, and server components is assumed. If you have no experience of software-defined storage solutions and Ceph, but are eager to learn about them, this is the book for you. What You Will Learn The limitations of existing systems and why you should use Ceph as a storage solution Familiarity with Ceph's architecture, components, and services Instant deployment and testing of Ceph within a Vagrant and VirtualBox environment Ceph operations including maintenance, monitoring, and troubleshooting Storage provisioning of Ceph's block, object, and filesystem services Integrate Ceph with OpenStack Advanced topics including erasure coding, CRUSH maps, and performance tuning Best practices for your Ceph clusters In Detail Learning Ceph, Second Edition will give you all the skills you need to plan, deploy, and effectively manage your Ceph cluster. You will begin with the first module, where you will be introduced to Ceph use cases, its architecture, and core projects. In the next module, you will learn to set up a test cluster, using Ceph clusters and hardware selection. After you have learned to use Ceph clusters, the next module will teach you how to monitor cluster health, improve performance, and troubleshoot any issues that arise. In the last module, you will learn to integrate Ceph with other tools such as OpenStack, Glance, Manila, Swift, and Cinder. By the end of the book you will have learned to use Ceph effectively for your data storage requirements. Style and approach This step-by-step guide, including use cases and examples, not only helps you to easily use Ceph but also demonstrates how you can use it to solve any of your server or drive storage issues. Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com . If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the code file.

Electronic data processing --- Distributed processing.

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A comprehensive guide to design, build and execute effective Big Data strategies using Hadoop About This Book Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform Conquer different data processing and analytics challenges using a multitude of tools such as Apache Spark, Elasticsearch, Tableau and more A comprehensive, step-by-step guide that will teach you everything you need to know, to be an expert Hadoop Architect Who This Book Is For This book is for Big Data professionals who want to fast-track their career in the Hadoop industry and become an expert Big Data architect. Project managers and mainframe professionals looking forward to build a career in Big Data Hadoop will also find this book to be useful. Some understanding of Hadoop is required to get the best out of this book. What You Will Learn Build an efficient enterprise Big Data strategy centered around Apache Hadoop Gain a thorough understanding of using Hadoop with various Big Data frameworks such as Apache Spark, Elasticsearch and more Set up and deploy your Big Data environment on premises or on the cloud with Apache Ambari Design effective streaming data pipelines and build your own enterprise search solutions Utilize the historical data to build your analytics solutions and visualize them using popular tools such as Apache Superset Plan, set up and administer your Hadoop cluster efficiently In Detail The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster. By the end of this book, you will have all the knowled...

Electronic data processing --- Distributed processing. --- Apache Hadoop.

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Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. Explains how to optimally model and schedule computing resources in cloud computingProvides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud dat

Cloud computing --- Management. --- Electronic data processing --- Web services --- Distributed processing

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Cloud computing --- Electronic data processing --- Web services --- Research. --- Distributed processing

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Over 80 recipes to help you master VMware vCloud Director Learn how to work with the vCloud API Covers the recently launched VMware vCloud Suite 5.5 Step-by-step instructions to simplify infrastructure provisioning Real-life implementation of tested recipes, packed with illustrations and programming examples In Detail VMware vCloud Director is an enterprise software solution that enables the building of secure, private clouds by pooling together infrastructure resources into virtual data centers. The tool enables self-service via a web interface to reduce the management overhead and offers amazing possibilities for production and development environments. Thus, the tool will ensure efficient management of resources with data center efficiency and business agility. "VMWare VCloud Director Cookbook" will cover a lot of ground, ranging from easy to complex recipes. It will not only dive into networks, data-stores, and vApps, but also cover vCloud design improvements, troubleshooting, and the vCloud API. "VMWare VCloud Director Cookbook" is split into different sections, each of which deals with a special topic in vCloud - from networks, to vApps, to storage and design. This book contains over 80 recipes with the difficulty levels ranging from simple to very advanced. You will learn how to automate vCloud easily and quickly with the API, and also learn how to isolate a vApp and still fully access it without risking the network. Design considerations that need to be addressed while deploying the vCloud and more will also be looked into. "VMWare VCloud Director Cookbook" will make your life as an admin a lot easier by providing you with some good recipes that have been proven to work in small to large enterprises.

Cloud computing. --- Electronic data processing --- Web services --- Distributed processing --- VMware.