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.

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cmake的作者ken marting写的cmake学习教材，网上的很多版本都没有目录，我这里提供了目录。

elasticsearch的电子书,主要介绍了es使用，分布式索引的原理，索引底层控制，JAVA的API使用，插件的部署等。

Mastering VMware vSphere 6.7, 2nd Edition: Unleash the benefits of VMware vSphere 6.7 to provide a powerful, flexible and secure digital infrastructure vSphere 6.7 is the latest release of VMware’s industry-leading, virtual cloud platform. It allows organisations to move to hybrid cloud computing b

Mastering Gephi Network Visualization 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

Mastering ArcGIS Server Development with JavaScript [Doman 2015-10-01].pdf 高清资料

掌握ABP框架 掌握ABP框架，由Packt发布

Mastering OpenCV 3 - Second Edition by Daniel Lélis Baggio English | 4 May 2017 | ASIN: B01N7G0BKE | 250 Pages | AZW3 | 4.82 MB Key Features Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3 Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applications Each chapter is a tutorial for an entire project from start to finish, showing you how to apply OpenCV to solve complete problems Book Description As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision. This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn. By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3. What you will learn Execute basic image processing operations and cartoonify an image Build an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.text Extend the natural feature tracking algorithm to support the tracking of multiple image targets on a video Use OpenCV 3’s new 3D visualization framework to illustrate the 3D scene geometry Create an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural Networks Train and predict pattern-recognition algorithms to decide whether an image is a number plate Use POSIT for the six degrees of freedom head pose Train a face recognition database using deep learning and recognize faces from that database