Manage VMware workloads in Azure VMware Solution and enable hybrid connectivity between on-premises datacenters and Azure with this extensive guide focusing on best practices and use cases Key Features Extend or migrate your existing VMware environment to Azure VMware Solution smoothly Discover best practices that are based on real customer experiences Join the cloud revolution by conducting the most suitable migration for your workloads Book DescriptionOrganizations over the world are migrating partially or fully to the cloud, but with the whole slew of providers, tools, and platforms available, knowing where to start can be quite challenging. If you know Microsoft Azure VMware Solution, you know it is the quickest way to migrate to the cloud without needing application modernization or rework. You can retain the same VMware tools to manage your environment while moving to Azure. But how does it work? The Ins and Outs of Azure VMware Solution has the answer. This high-level, comprehensive yet concise guide to Azure VMware Solution starts by taking you through the architecture and its applicable use cases. It will help you hit the ground running by getting straight to the important steps: planning, deploying, configuring, and managing your Azure VMware Solution instance. You'll be able to extend your existing knowledge of Azure and VMware by covering advanced topics such as SRM and governance, setting up a hybrid connection to your on-premises datacenter, and scaling up using disk pools. By the end of the VMware book, you'll have gone over everything you need to transition to the cloud with ease using Azure VMware Solution. What you will learn Get to grips with the overall architecture of Azure VMware Solution Discover Enterprise-scale for Azure VMware Solution Deploy an Azure VMware private cloud successfully Deploy and configure HCX in Azure VMware Solution Configure NSX-T network segments with the NSX-T Manager Configure internet access, traffic inspection, and storage for AVS Integrate Azure VMware Solution with Azure-native services Use governance to improve your cloud portfolio Who this book is forThis book is for VMware administrators, cloud solutions architects, and anyone interested in learning how to deploy and configure an AVS environment in Azure. Technology leaders who want to get out of the datacenter business or expand their on-premises datacenter into Microsoft Azure will also find this book useful. Familiarity with VMware solutions and a basic understanding of Azure networking is necessary to get started with this book.

Effectively build, manage, and secure your Kubernetes workloads to implement CI/CD Key Features Gain a complete understanding of how Rancher works Discover how to design and deploy Kubernetes clusters using Rancher Understand how to extend Kubernetes and Rancher's capabilities to take your apps to the next level Book DescriptionKnowing how to use Rancher enables you to manage multiple clusters and applications without being locked into a vendor's platform. This book will guide you through Rancher's capabilities while deepening your understanding of Kubernetes and helping you to take your applications to a new level. The book begins by introducing you to Rancher and Kubernetes, helping you to learn and implement best practices. As you progress through the chapters, you'll understand the strengths and limitations of Rancher and Kubernetes and discover all the different ways to deploy Rancher. You'll also find out how to design and deploy Kubernetes clusters to match your requirements. The concluding chapters will show you how to set up a continuous integration and continuous deployment (CI/CD) pipeline for deploying applications into a Rancher cluster, along with covering supporting services such as image registries and Helm charts. By the end of this Kubernetes book, you'll be able to confidently deploy your mission-critical production workloads on Rancher-managed Kubernetes clusters. What you will learn Deploy Rancher in a production-ready configuration Architect an application cluster to support mission-critical workloads Build the type of Kubernetes cluster that makes sense for your environment Discover the tools and services needed to make a new, ready-to-deploy cluster Prepare your applications to be deployed into Rancher for Kubernetes Expand your Kubernetes cluster by providing additional services such as Longhorn, OPA, and monitoring Who this book is forThis book is for DevOps engineers looking to deploy Kubernetes in a fast and easy way. A basic understanding of Linux administration and containerization is needed to get the most out of this book.

Take complete control of all your image-editing ambitions using this beautifully illustrated, easy-to-understand, jargon-free guide Purchase of the print or Kindle book includes a free eBook in PDF format Key Features Fifth edition of the bestselling, widely acclaimed Photoshop Elements series Clear instructions, color images, hundreds of examples to demonstrate features in Adobe Elements 2023 Fully updated to include advanced Layer Masking and Retouching techniques, Photo Bashing, scrapbooking, plug-ins and a range of impressive features driven by Adobe Sensei AI technology Book DescriptionProduce impressive, high-quality pictures to influence your audience, grow your brand, and market your products and services. With its impressive range of sophisticated creative capabilities, Adobe Photoshop Elements 2023 is all you need to create photos you'll love to share. The fifth edition of this widely acclaimed series will help you master photo-editing from scratch. Start by learning basic edits such as auto tone correction, image resizing and cropping, then master contrast, color, sharpness, and clarity. If you're stuck, check out the new chapter 'Getting Started with Simple Solutions' where your most common questions are answered. Elements 2023 extends its AI capabilities by simplifying complex editing processes. Learn to stitch widescreen panoramas, remove people from backgrounds, de-focus backgrounds, re-compose images, and even create a range of calendars and greeting cards for your friends and family. Take your prowess to the next level by learning how to correct optical distortion, re-shape images, exploit layers, layer masking, and sharpening techniques-create the perfect picture or imaginative fantasy illustration. You'll also learn the online realms of animation, video creation, and third-party plug-ins. By the end of this book, you'll learn how to leverage the incredible features of Photoshop Elements 2023 with complete confidence. What you will learn How to retouch images professionally, replace backgrounds, remove people, and resize your images Animate parts of your photos to create memes to wow your social media fans Showcase your photos and videos with all-new collage and slideshow templates Use image overlays to create unique depth of field effects Discover advanced layer techniques designed to create immersive and powerful illustrations Take your selection skills to the next level for the ultimate in image control Develop your illustration skills using the power of Elements' huge range of graphics tools and features Easily create wonderful effects using Adobe's awesome AI technology Who this book is forThis Photoshop Elements book is for creative and enthusiastic photographers who have elementary experience in photo editing. If you are looking to organize your picture collection, make simple yet effective edits, and take control of post-processing requirements, this is the book for you

Understand test automation and implement it in Web, Mobile, and APIs effectively Key Features Learn how to automate your tests with the help of practical examples Understand how to bridge the gap between testing and test automation Explore test automation strategies for different platforms Book DescriptionThis book helps you build a better understanding of test automation and aids in bridging the gap between testing and test automation. The book has been divided into three sections with the first section focusing on preparing you for testing and test automation fundamentals. By the end of this section, you'll have an understanding of some common automation terms, definitions, and roles. The second section covers the practical implementation of test automation for mobile, web, API and performance. The third section will help you understand how test automation works with CI/CD, and explore the common issues and pitfalls when executing test automation. By the end of this book, you'll have a better understanding of automation, addressing the common pain points and best practices around test automation. What you will learn Gain a solid understanding of test automation Understand how automation fits into a test strategy Explore essential design patterns for test automation Design and implement highly reliable automated tests Understand issues and pitfalls when executing test automation Discover the commonly used test automation tools/frameworks Who this book is forThis book is for manual testers who want to enter the field of test automation and developers who want to learn more about test automation.

Thwart hackers by preventing, detecting, and misdirecting access before they can plant malware, obtain credentials, engage in fraud, modify data, poison models, corrupt users, eavesdrop, and otherwise ruin your day Key Features Discover how hackers rely on misdirection and deep fakes to fool even the best security systems Retain the usefulness of your data by detecting unwanted and invalid modifications Develop application code to meet the security requirements related to machine learning Book DescriptionBusinesses are leveraging the power of AI to make undertakings that used to be complicated and pricy much easier, faster, and cheaper. The first part of this book will explore these processes in more depth, which will help you in understanding the role security plays in machine learning. As you progress to the second part, you'll learn more about the environments where ML is commonly used and dive into the security threats that plague them using code, graphics, and real-world references. The next part of the book will guide you through the process of detecting hacker behaviors in the modern computing environment, where fraud takes many forms in ML, from gaining sales through fake reviews to destroying an adversary's reputation. Once you've understood hacker goals and detection techniques, you'll learn about the ramifications of deep fakes, followed by mitigation strategies. This book also takes you through best practices for embracing ethical data sourcing, which reduces the security risk associated with data. You'll see how the simple act of removing personally identifiable information (PII) from a dataset lowers the risk of social engineering attacks. By the end of this machine learning book, you'll have an increased awareness of the various attacks and the techniques to secure your ML systems effectively. What you will learn Explore methods to detect and prevent illegal access to your system Implement detection techniques when access does occur Employ machine learning techniques to determine motivations Mitigate hacker access once security is breached Perform statistical measurement and behavior analysis Repair damage to your data and applications Use ethical data collection methods to reduce security risks Who this book is forWhether you're a data scientist, researcher, or manager working with machine learning techniques in any aspect, this security book is a must-have. While most resources available on this topic are written in a language more suitable for experts, this guide presents security in an easy-to-understand way, employing a host of diagrams to explain concepts to visual learners. While familiarity with machine learning concepts is assumed, knowledge of Python and programming in general will be useful.

Harness the power of enterprise architecture, AWS, and agile methodologies to optimize operational efficiency in your organization Key Features Use EA and agile practices to maximize your organization's operational efficiency Learn how to use EA approaches in AWS through their prescriptive frameworks Align SAFe principles with EA and cloud migration Book DescriptionAgile implementation of enterprise architecture (EA) in the cloud is a powerful organizational tool, but it is challenging, particularly for architects who are used to on-premises environments. This in-depth guide will tell you all you need to know to reap the benefits of applying EA in your organization to achieve operational efficiency. Starting with an overview of the foundations of enterprise architecture, you'll see how it can be applied to AWS as well as explore the frameworks AWS provides for EA, such as the AWS Well-Architected Framework. That's not all - the book shows you how these frameworks align with The Open Group Architecture Framework (TOGAF) architecture development method (ADM) and the Zachman Framework so that you can choose the right fit for your organization. As you advance, you'll learn how to apply SAFe to make your organization agile as well as efficient. Once you've gotten to grips with the theory, you can explore use cases and take a quiz at the end of the book to test yourself and see how EA is applied in practice. By the end of this enterprise architecture book, you'll have the skills and knowledge required to apply EA in the cloud with AWS and drive your organization to become super-efficient and agile. What you will learn Set up the core foundation of your enterprise architecture Discover how TOGAF relates to enterprise architecture Explore AWS's EA frameworks and find out which one is the best for you Use SAFe to maximize agility in your organization Find out how to use ArchiMate to model your architecture Establish proper EA practices in your organization Migrate to the cloud with AWS and SAFe Who this book is forThis agility book is for experienced and inexperienced solutions architects, enterprise architects, and cloud architects who know the basics of software and solutions architecture, along with cloud fundamentals, and are looking to get started with AWS and SAFe to implement enterprise architecture in the cloud.

Bestselling author Mark Price is back to guide you through the coolest and most common technologies a .NET developer should know: Blazor, .NET MAUI, gRPC, GraphQL, SQL Server, Cosmos DB, OData, SignalR, Azure Functions, and more! Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Build services using a variety of technologies including Web API, OData, gRPC, GraphQL, SignalR, and Azure Functions Learn how to use specialized libraries to improve all aspects of your applications, including performance and localization Leverage .NET MAUI to develop cross-platform desktop and mobile apps with ease Book DescriptionApps and Services with .NET 7 is for .NET 6 and .NET 7 developers who want to kick their C# and .NET understanding up a gear by learning the practical skills and knowledge they need to build real-world applications and services. It covers specialized libraries that will help you monitor and improve performance, secure your data and applications, and internationalize your code and apps. With chapters that put a variety of technologies into practice, including Web API, OData, gRPC, GraphQL, SignalR, and Azure Functions, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. It covers the latest developments, libraries, and technologies that will help keep you up to date. You'll also leverage .NET MAUI to develop mobile apps for iOS and Android as well as desktop apps for Windows and macOS. What you will learn Learn how to build more efficient, secure, and scalable apps and services Leverage specialized .NET libraries to improve your applications Implement popular third-party libraries like Serilog and FluentValidation Build cross-platform apps with .NET MAUI and integrate with native mobile features Get familiar with a variety of technologies for implementing services like gRPC and GraphQL Explore Blazor WebAssembly and use open-source Blazor component libraries Store and manage data locally and in the cloud with SQL Server and Cosmos DB Who this book is forThis book is for .NET developers interested in exploring more specialized libraries and implementation fundamentals behind building services and apps. You'll need to know your way around .NET and C# quite well before you can dive in, so if you want to work your way up to this book, pick up Mark's other .NET book, C# 11 and .NET 7 - Modern Cross-Platform Development Fundamentals, first.

Accelerate computations and make the most of your data effectively and efficiently on Databricks Key Features Understand Spark optimizations for big data workloads and maximizing performance Build efficient big data engineering pipelines with Databricks and Delta Lake Efficiently manage Spark clusters for big data processing Book DescriptionDatabricks is an industry-leading, cloud-based platform for data analytics, data science, and data engineering supporting thousands of organizations across the world in their data journey. It is a fast, easy, and collaborative Apache Spark-based big data analytics platform for data science and data engineering in the cloud. In Optimizing Databricks Workloads, you will get started with a brief introduction to Azure Databricks and quickly begin to understand the important optimization techniques. The book covers how to select the optimal Spark cluster configuration for running big data processing and workloads in Databricks, some very useful optimization techniques for Spark DataFrames, best practices for optimizing Delta Lake, and techniques to optimize Spark jobs through Spark core. It contains an opportunity to learn about some of the real-world scenarios where optimizing workloads in Databricks has helped organizations increase performance and save costs across various domains. By the end of this book, you will be prepared with the necessary toolkit to speed up your Spark jobs and process your data more efficiently. What you will learn Get to grips with Spark fundamentals and the Databricks platform Process big data using the Spark DataFrame API with Delta Lake Analyze data using graph processing in Databricks Use MLflow to manage machine learning life cycles in Databricks Find out how to choose the right cluster configuration for your workloads Explore file compaction and clustering methods to tune Delta tables Discover advanced optimization techniques to speed up Spark jobs Who this book is forThis book is for data engineers, data scientists, and cloud architects who have working knowledge of Spark/Databricks and some basic understanding of data engineering principles. Readers will need to have a working knowledge of Python, and some experience of SQL in PySpark and Spark SQL is beneficial.