Learning Proxmox VE. Unleash the power of Proxmox VE by setting up a dedicated virtual environment to serve both containers and virtual machines

CHENG MAN, Rik Goldman, Ken Hess

Proxmox VE 4.1 provides an open source, enterprise virtualization platform on which to host virtual servers as either virtual machines or containers.This book will support your practice of the requisite skills to successfully create, tailor, and deploy virtual machines and containers with Proxmox VE 4.1. Following a survey of PVE's features and characteristics,this book will contrast containers with virtual machines and establish cases for both. It walks through the installation of Proxmox VE, explores the creation of containers and virtual machines, and suggests best practices for virtual disk creation, network configuration, and Proxmox VE host and guest security.Throughout the book, you will navigate the Proxmox VE 4.1 web interface and explore options for command-linemanagement

What's New in TensorFlow 2.0. Use the new and improved features of TensorFlow to enhance machine learning and deep learning

Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal

TensorFlow is an end-to-end machine learning platform for experts as well as beginners, and its new version, TensorFlow 2.0 (TF 2.0), improves its simplicity and ease of use. This book will help you understand and utilize the latest TensorFlow features.What's New in TensorFlow 2.0 starts by focusing on advanced concepts such as the new TensorFlow Keras APIs, eager execution, and efficient distribution strategies that help you to run your machine learning models on multiple GPUs and TPUs. The book then takes you through the process of building data ingestion and training pipelines, and it provides recommendations and best practices for feeding data to models created using the new tf.keras API. You'll explore the process of building an inference pipeline using TF Serving and other multi-platform deployments before moving on to explore the newly released AIY, which is essentially do-it-yourself AI. This book delves into the core APIs to help you build unified convolutional and recurrent layers and use TensorBoard to visualize deep learning models using what-if analysis.By the end of the book, you'll have learned about compatibility between TF 2.0 and TF 1.x and be able to migrate to TF 2.0 smoothly.

Groovy 2 Cookbook. Java and Groovy go together like ham and eggs, and this book is a great opportunity to learn how to exploit Groovy 2 to the full. Packed with recipes, both intermediate and advanced, it's a great way to speed up and modernize your programming

Luciano Fiandesio, Andrey Adamovich, Andrey Adamovich And Luciano Fiandesio

Get up to speed with Groovy, a language for the Java Virtual Machine (JVM) that integrates features of both object-oriented and functional programming. This book will show you the powerful features of Groovy 2 applied to real-world scenarios and how the dynamic nature of the language makes it very simple to tackle problems that would otherwise require hours or days of research and implementation.Groovy 2 Cookbook contains a vast number of recipes covering many facets of today's programming landscape. From language-specific topics such as closures and metaprogramming, to more advanced applications of Groovy flexibility such as DSL and testing techniques, this book gives you quick solutions to everyday problems.The recipes in this book start from the basics of installing Groovy and running your first scripts and continue with progressively more advanced examples that will help you to take advantage of the language's amazing features.Packed with hundreds of tried-and-true Groovy recipes, Groovy 2 Cookbook includes code segments covering many specialized APIs to work with files and collections, manipulate XML, work with REST services and JSON, create asynchronous tasks, and more. But Groovy does more than just ease traditional Java development: it brings modern programming features to the Java platform like closures, duck-typing, and metaprogramming.In this new book, you'll find code examples that you can use in your projects right away along with a discussion about how and why the solution works. Focusing on what's useful and tricky, Groovy 2 Cookbook offers a wealth of useful code for all Java and Groovy programmers, not just advanced practitioners.

CCSP (ISC)2 Certified Cloud Security Professional Exam Guide. Build your knowledge to pass the CCSP exam with expert guidance

Omar A. Turner, Navya Lakshmana

Preparing for the Certified Cloud Security Professional (CCSP) exam can be challenging, as it covers a wide array of topics essential for advancing a cybersecurity professional’s career by validating their technical skills. To prepare for the CCSP exam, you need a resource that not only covers all the exam objectives but also helps you prepare for the format and structure of the exam.Written by two seasoned cybersecurity professionals with a collective experience of hundreds of hours training CCSP bootcamps, this CCSP study guide reflects the journey you’d undertake in such training sessions.The chapters are packed with up-to-date information necessary to pass the (ISC)2 CCSP exam. Additionally, to boost your confidence, the book provides self-assessment questions, exam tips, and mock exams with detailed answer explanations. You’ll be able to deepen your understanding using illustrative explanations that briefly review key points.As you progress, you’ll delve into advanced technical aspects of cloud domain security, such as application security, design, managing and securing data, and infrastructure in the cloud using best practices and legal policies and procedures.By the end of this guide, you’ll be ready to breeze through the exam and tackle real-world cloud security challenges with ease.

Applied Machine Learning and High-Performance Computing on AWS. Accelerate the development of machine learning applications following architectural best practices

Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter

Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles.This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you’ll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases.By the end of this book, you’ll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle.

Robot Framework Test Automation. Create test suites and automated acceptance tests from scratch

Sumit Bisht

Testing has traditionally been a part of software development, and has always involved a lot of manual effort. It can be automated with Robot Framework, which offers numerous benefits from cost saving to increased quality assurance in the software delivery. This book will help you to start designing test suites and Automated Acceptance Tests.Helping you to get started with automating acceptance tests, this book will provide a detailed overview of acceptance test management practices and principles. You will also be introduced to advanced techniques that you can use to customize the test suite, along with helpful tips and tricks to extend and leverage it in a wide variety of scenarios.Starting with a detailed explanation of the need for automated acceptance test driven development, this guide will help you with an empty test project creation and execution for proof of concept, and validation of installation. This book will also cover the Robot Framework in detail, and will help you test desktop applications using Java Swing. You will gain an in-depth knowledge of tricky activities, such as setting up a test environment and using it with Selenium.You will also learn about other popular libraries, and how to test network protocols, web services, and databases. This book will cover the entire Robot Framework with real- world practical material to make its content informative and interesting.By the end of this book you will be able to write acceptance tests for desktop and web applications, as well as know how to extend acceptance testing in other scenarios that are commonly devoid of tests, and present the results appropriately.

Moodle 3 E-Learning Course Development. Create highly engaging and interactive e-learning courses with Moodle 3 - Fourth Edition

Susan Smith Nash, William Rice

Moodle is a learning platform or Course Management System (CMS) that is easy toinstall and use, but the real challenge is in developing a learning process that leverages its power and maps the learning objectives to content and assessments for an integrated and effective course. Moodle 3 E-Learning Course Development guides you through meeting that challenge in a practical way.This latest edition will show you how to add static learning material, assessments, and social features such as forum-based instructional strategy, a chat module, and forums to your courses so that students reach their learning potential. Whether you want tosupport traditional class teaching or lecturing, or provide complete online and distancee-learning courses, this book will prove to be a powerful resource throughoutyour use of Moodle.You’ll learn how to create and integrate third-party plugins and widgets in your Moodle app, implement site permissions and user accounts, and ensure the security of content and test papers. Further on, you’ll implement PHP scripts that will help you create customized UIs for your app. You’ll also understand how to create your first Moodle VR e-learning app using the latest VR learning experience that Moodle 3 has to offer.By the end of this book, you will have explored the decisions, design considerations, andthought processes that go into developing a successful course.

Smart Internet of Things Projects. Click here to enter text

Agus Kurniawan

Internet of Things (IoT) is a groundbreaking technology that involves connecting numerous physical devices to the Internet and controlling them. Creating basic IoT projects is common, but imagine building smart IoT projects that can extract data from physical devices, thereby making decisions by themselves. Our book overcomes the challenge of analyzing data from physical devices and accomplishes all that your imagination can dream up by teaching you how to build smart IoT projects. Basic statistics and various applied algorithms in data science and machine learning are introduced to accelerate your knowledge of how to integrate a decision system into a physical device. This book contains IoT projects such as building a smart temperature controller, creating your own vision machine project, building an autonomous mobile robot car, controlling IoT projects through voice commands, building IoT applications utilizing cloud technology and data science, and many more. We will also leverage a small yet powerful IoT chip, Raspberry Pi with Arduino, in order to integrate a smart decision-making system in the IoT projects.