Learning VMware vSphere. Click here to enter text

Rebecca Fitzhugh, Abhilash G B

Computer virtualization is a method to enable the running of multiple application workloads on a machine to achieve efficient utilization and reduce the number of physical machines in a data center. This has now become the foundation of many modern day data centers. What began as a technology to virtualize x86 architecture has now grown beyond the limits of a server’s hardware and into the realm of storage and network virtualization. VMware is currently the market leader in developing data center virtualization solutions. This book goes into the details of designing and implementing VMware solutions that form the foundation of a VMware infrastructure.The book begins by introducing you to the concepts of server virtualization followed by the architecture of VMware’s hypervisor – ESXi and then by its installation and configuration. You then learn what is required to manage a vSphere environment and configure advanced management capabilities of vCenter. Next you are taken through topics on vSphere Networking, Storage, ESXi Clustering, Resource Management and Virtual Machine Management. You will then be introduced to SSL Certificate Management and its use in a vSphere environment. Finally, you will learn about the lifecycle management of a vSphere environment by effectively monitoring, patching and upgrading vSphere components using Update Manager. By the end of the book, you will know how to use VMware’s vSphere suite of components to lay the foundation of a modern day virtual infrastructure.

Multi-Cloud Architecture and Governance. Leverage Azure, AWS, GCP, and VMware vSphere to build effective multi-cloud solutions

Jeroen Mulder

Multi-cloud has emerged as one of the top cloud computing trends, with businesses wanting to reduce their reliance on only one vendor. But when organizations shift to multiple cloud services without a clear strategy, they may face certain difficulties, in terms of how to stay in control, how to keep all the different components secure, and how to execute the cross-cloud development of applications. This book combines best practices from different cloud adoption frameworks to help you find solutions to these problems.With step-by-step explanations of essential concepts and practical examples, you’ll begin by planning the foundation, creating the architecture, designing the governance model, and implementing tools, processes, and technologies to manage multi-cloud environments. You’ll then discover how to design workload environments using different cloud propositions, understand how to optimize the use of these cloud technologies, and automate and monitor the environments. As you advance, you’ll delve into multi-cloud governance, defining clear demarcation models and management processes. Finally, you’ll learn about managing identities in multi-cloud: who’s doing what, why, when, and where.By the end of this book, you’ll be able to create, implement, and manage multi-cloud architectures with confidence

Learning Bootstrap. Unearth the potential of Bootstrap to create responsive web pages using modern techniques

Judicael Ayo-Dele SOSSOU, Aravind Shenoy, Ulrich Krause

Android: Game Programming. A Developer's Guide

Raul Portales, John Horton

Gaming has historically been a strong driver of technology, whether we’re talking about hardware or software performance, the variety of input methods, or graphics support and the Android game platform is no different. Android is a mature, yet still growing, platform that many game developers have embraced as it provides tools, APIs, and services to help bootstrap Android projects and ensure their success, many of which are specially designed to help game developers.Since Android uses one of the most popular programming languages, Java, as the primary language to build apps of all types, you will start this course by first obtaining a solid grasp of the Java language and its foundation APIs. This will improve your chances of succeeding as an Android app developer. We will show you how to get your Android development environment set up and you will soon have your first working game.The course covers all the aspects of game development through various engrossing and insightful game projects. You will learn all about frame-by-frame animations and resource animations using a space shooter game, create beautiful and responsive menus and dialogs, and explore the different options to play sound effects and music in Android. You will also learn the basics of creating a particle system and will see how to use the Leonids library. By the end of the course, you will be able to configure and use Google Play Services on the developer console and port your game to the big screen.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Learning Java by Building Android Games by John Horton? Android Game Programming by Example by John Horton? Mastering Android Game Development by Raul Portales

Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization

Asjad Athick, Shay Banon

The Elastic Stack helps you work with massive volumes of data to power use cases in the search, observability, and security solution areas.This three-part book starts with an introduction to the Elastic Stack with high-level commentary on the solutions the stack can be leveraged for. The second section focuses on each core component, giving you a detailed understanding of the component and the role it plays. You’ll start by working with Elasticsearch to ingest, search, analyze, and store data for your use cases. Next, you’ll look at Logstash, Beats, and Elastic Agent as components that can collect, transform, and load data. Later chapters help you use Kibana as an interface to consume Elastic solutions and interact with data on Elasticsearch. The last section explores the three main use cases offered on top of the Elastic Stack. You’ll start with a full-text search and look at real-world outcomes powered by search capabilities. Furthermore, you’ll learn how the stack can be used to monitor and observe large and complex IT environments. Finally, you’ll understand how to detect, prevent, and respond to security threats across your environment. The book ends by highlighting architecture best practices for successful Elastic Stack deployments.By the end of this book, you’ll be able to implement the Elastic Stack and derive value from it.

Raspberry Pi and MQTT Essentials. A complete guide to helping you build innovative full-scale prototype projects using Raspberry Pi and MQTT protocol

Dhairya Parikh

The future of IoT has the potential to be limitless. Wouldn’t it be great if you could add it to your own technological stacks? But where to start? With the basics, of course.In this book, you will start by learning about the most popular hardware and communication protocol, Raspberry Pi and MQTT. You will see how to use them together by setting up your own MQTT server on Raspberry Pi and understand how it works.This book explores MQTT in detail, including the clients and devices that you can connect to your server. You will discover two very popular IoT development boards among project developers: the ESP8266 and ESP32 development boards. Then, you will learn how to build interactive dashboards on your Pi and monitor your client devices. The book also shows you how to build a dashboard using another popular software – Node-RED. You will be able to put your skills to the test by creating two full-scale projects. That’s not all: you will also learn how to host your own MQTT server on a virtual cloud service. Finally, you will be guided on how to move forward from here, what technologies to learn, and some project recommendations to polish or test your knowledge.By the end of this book, you will be able to build meaningful projects using Raspberry Pi and MQTT and create dashboards for your projects on Node-RED.

AI Explained. Uncovering the Reality, Risks, and Rewards of Artificial Intelligence

Nigel Poulton

This book leads readers on a comprehensive journey through artificial intelligence, beginning with an introduction to its foundational concepts. Early on, readers are guided through what AI is and why it’s becoming a transformative force in today’s world. They’ll then explore the technical processes behind AI creation, learning how data and algorithms power intelligent systems, making complex technology accessible and understandable.Further on, the book delves into practical applications and ethical considerations. Readers discover the positive ways AI is improving our lives, from breakthroughs in healthcare to innovations in everyday industries. Following this, it presents a balanced view of AI’s potential risks, discussing the ethical concerns and societal challenges that arise with misuse, encouraging thoughtful reflection on AI’s impact.Towards the end, the book tackles critical future challenges and solutions. It discusses the threat of rogue AI behaviors and highlights strategies to prevent AI from acting unpredictably. The final section offers an optimistic outlook on the responsible development of AI, encouraging readers to envision a future where AI can drive positive change. By journey’s end, readers will feel equipped with a nuanced understanding of AI, its real-world significance, and its ethical implications.

Data Literacy in Practice. A complete guide to data literacy and making smarter decisions with data through intelligent actions

Angelika Klidas, Kevin Hanegan

Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin—data literacy.This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top universities in the US and the Netherlands. Complete with best practices, practical models, and real-world examples, Data Literacy in Practice will help you start making your data work for you by building your understanding of data literacy basics and accelerating your journey to independently uncovering insights.You’ll learn the four-pillar model that underpins all data and analytics and explore concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs for your readers, and questioning your insights.By the end of the book, you'll be equipped with a combination of skills and mindset as well as with tools and frameworks that will allow you to find insights and meaning within your data for data-informed decision making.