Migrating Linux to Microsoft Azure. A hands-on guide to efficiently relocating your Linux workload to Azure

Rithin Skaria, Toni Willberg

With cloud adoption at the core of digital transformation for organizations, there has been a significant demand for deploying and hosting enterprise business workloads in the cloud. Migrating Linux to Microsoft Azure offers a wealth of actionable insights into deploying Linux workload to Azure.You'll begin by learning about the history of IT, operating systems, Unix, Linux, and Windows before moving on to look at the cloud and what things were like before virtualization. This will help anyone new to Linux become familiar with the terms used throughout the book. You'll then explore popular Linux distributions, including RHEL 7, RHEL 8, SLES, Ubuntu Pro, CentOS 7, and more.As you progress, you'll cover the technical details of Linux workloads such as LAMP, Java, and SAP, and understand how to assess your current environment and prepare for your migration to Azure through cloud governance and operations planning. Finally, you'll go through the execution of a real-world migration project and learn how to analyze and debug some common problems that Linux on Azure users may encounter.By the end of this Linux book, you'll be proficient at performing an effective migration of Linux workloads to Azure for your organization.

Hands-On Microsoft Teams. A practical guide to enhancing enterprise collaboration with Microsoft Teams and Microsoft 365 - Second Edition

Joao Ferreira

Microsoft Teams is a permanent fixture in the modern workplace, but many of its productivity-boosting features go unnoticed or unused. Hands-On Microsoft Teams shows you how to use Teams to its full potential through easy-to-follow practical tutorials.This guide to mastering Teams explores the platform in comprehensive detail and how it interacts with the rest of the Microsoft ecosystem to help you work efficiently and manage your resources. You'll get to grips with core functionality like setting up and managing teams, channels, chats, tabs, and meetings.You'll also learn to get the best out of Teams by adding custom apps, integrating with Microsoft 365, using PowerShell automation, and exploring useful settings you didn't know existed. Along the way, you'll be shown various real-world scenarios and how to implement solutions for them in Teams that will increase your productivity.Whether you're an administrator, manager, or team member, by the end of this book you'll be confident in using everything Microsoft Teams has to offer.

C# and Algorithmic Thinking for the Complete Beginner. Unlock the Power of Programming with C# and Algorithmic Thinking

Aristides Bouras

This course takes you on a journey through the basics of C# programming and algorithmic thinking, tailored specifically for complete beginners. Starting with an understanding of how a computer works, you will explore integrated development environments, essential software packages, and basic algorithmic concepts.As you progress, you will delve deeper into key programming constructs such as variables, constants, input and output handling, operators, and control structures. The course emphasizes practical application, guiding you through exercises involving complex mathematical expressions, string manipulations, decision structures, and loop control structures. By the time you reach the advanced sections, you will have a comprehensive understanding of data structures, subprograms, and object-oriented programming.Designed to be engaging and informative, this course offers tips, tricks, and detailed explanations to help you master each concept. The use of Visual Studio Code is seamlessly integrated, providing you with hands-on experience in a real-world development environment. By the end of the course, you will be well-equipped to tackle more advanced programming challenges and continue your journey in the world of software development.

Creating Cross-Platform C# Applications with Uno Platform. Build apps with C# and XAML that run on Windows, macOS, iOS, Android, and WebAssembly

Matt Lacey, Marcel Alexander Wagner

Developers are increasingly being asked to build native applications that run on multiple operating systems and in the browser. In the past, this would have meant learning new technologies and making multiple copies of an application. But the Uno Platform allows you to use tools, languages, and APIs you already know from building Windows apps to develop apps that can also run on other platforms. This book will help you to create customer-facing as well as line-of-business apps that can be used on the device, browser, or operating system of your choice.This practical guide enables developers to put their C# and XAML knowledge to work by writing cross-platform apps using the Uno Platform. Packed with tips and practical examples, this book will help you to build applications for common scenarios. You'll begin by learning about the Uno Platform through step-by-step explanations of essential concepts, before moving on to creating cross-platform apps for different lines of business. Throughout this book, you'll work with examples that will teach you how to combine your existing knowledge to manage common development environments and implement frequently needed functionality.By the end of this Uno development book, you will have learned how to write your own cross-platform apps with the Uno Platform and use additional tools and libraries to speed up your app development process.

Terraform Cookbook. Efficiently define, launch, and manage Infrastructure as Code across various cloud platforms

Mikael Krief, Mitchell Hashimoto

HashiCorp Configuration Language (HCL) has changed how we define and provision a data center infrastructure with the launch of Terraform—one of the most popular and powerful products for building Infrastructure as Code. This practical guide will show you how to leverage HashiCorp's Terraform tool to manage a complex infrastructure with ease.Starting with recipes for setting up the environment, this book will gradually guide you in configuring, provisioning, collaborating, and building a multi-environment architecture. Unlike other books, you’ll also be able to explore recipes with real-world examples to provision your Azure infrastructure with Terraform. Once you’ve covered topics such as Azure Template, Azure CLI, Terraform configuration, and Terragrunt, you’ll delve into manual and automated testing with Terraform configurations. The next set of chapters will show you how to manage a balanced and efficient infrastructure and create reusable infrastructure with Terraform modules. Finally, you’ll explore the latest DevOps trends such as continuous integration and continuous delivery (CI/CD) and zero-downtime deployments.By the end of this book, you’ll have developed the skills you need to get the most value out of Terraform and manage your infrastructure effectively.

Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala

Arun Manivannan, Pascal Bugnion, Patrick R. Nicolas

Scala is especially good for analyzing large sets of data as the scale of the task doesn’t have any significant impact on performance. Scala’s powerful functional libraries can interact with databases and build scalable frameworks — resulting in the creation of robust data pipelines. The first module introduces you to Scala libraries to ingest, store, manipulate, process, and visualize data. Using real world examples, you will learn how to design scalable architecture to process and model data — starting from simple concurrency constructs and progressing to actor systems and Apache Spark. After this, you will also learn how to build interactive visualizations with web frameworks.Once you have become familiar with all the tasks involved in data science, you will explore data analytics with Scala in the second module. You’ll see how Scala can be used to make sense of data through easy to follow recipes. You will learn about Bokeh bindings for exploratory data analysis and quintessential machine learning with algorithms with Spark ML library. You’ll get a sufficient understanding of Spark streaming, machine learning for streaming data, and Spark graphX. Armed with a firm understanding of data analysis, you will be ready to explore the most cutting-edge aspect of data science — machine learning. The final module teaches you the A to Z of machine learning with Scala. You’ll explore Scala for dependency injections and implicits, which are used to write machine learning algorithms. You’ll also explore machine learning topics such as clustering, dimentionality reduction, Naïve Bayes, Regression models, SVMs, neural networks, and more. This learning path combines some of the best that Packt has to offer into one complete, curated package. It includes content from the following Packt products:• Scala for Data Science, Pascal Bugnion• Scala Data Analysis Cookbook, Arun Manivannan • Scala for Machine Learning, Patrick R. Nicolas

Node.js By Example. Learn to use Node.js by creating a fully functional social network

Krasimir Tsonev, Krasimir Stefanov Tsonev

Mastering F#. Click here to enter text

Alfonso García-Caro Núnez, Suhaib Fahad

F# is a multi-paradigm programming language that encompasses object-oriented, imperative, and functional programming language properties. Now adopted in a wide range of application areas and is supported both by industry-leading companies who provide professional tools and by an active open community, F# is rapidly gaining popularity as it emerges in digital music advertising, creating music-focused ads for Spotify, Pandora, Shazam, and anywhere on the web. This book will guide you through the basics and will then help you master F#. The book starts by explaining how to use F# with Visual Studio, file ordering, and the differences between F# and C# in terms of usage. It moves on to explain the functional core of F# such as data types, type declarations, immutability, strong type interference, pattern matching, records, F# data structures, sequence expressions, and lazy evaluation. Next, the book takes you through imperative and asynchronous programming, F# type providers, applications, and testing in F#. Finally, we look into using F# with distributed programming and using F# as a suitable language for data science. In short, this book will help you learn F# for real-world applications and increase your productivity with functional programming.