Azure Architecture Explained. A comprehensive guide to building effective cloud solutions

David Rendón, Brett Hargreaves, Sarah Kong

Azure is a sophisticated technology that requires a detailed understanding to reap its full potential and employ its advanced features. This book provides you with a clear path to designing optimal cloud-based solutions in Azure, by delving into the platform's intricacies. You’ll begin by understanding the effective and efficient security management and operation techniques in Azure to implement the appropriate configurations in Microsoft Entra ID. Next, you’ll explore how to modernize your applications for the cloud, examining the different computation and storage options, as well as using Azure data solutions to help migrate and monitor workloads. You’ll also find out how to build your solutions, including containers, networking components, security principles, governance, and advanced observability. With practical examples and step-by-step instructions, you’ll be empowered to work on infrastructure-as-code to effectively deploy and manage resources in your environment. By the end of this book, you’ll be well-equipped to navigate the world of cloud computing confidently.

Azure Cloud Adoption Framework Handbook. A comprehensive guide to adopting and governing the cloud for your digital transformation

Sasa Kovacevic, Darren Dempsey

You've heard about the benefits of the cloud and you want to get on board, but you’re not sure where to start, what services to use, or how to make sure your data is safe. Making the decision to move to the cloud can be daunting and it's easy to get overwhelmed, but if you're not careful, you can easily make mistakes that cost you time and money.Azure Cloud Adoption Framework Handbook is here to help. This guide will take you step-by-step through the process of making the switch to the Microsoft Azure cloud. You’ll learn everything from foundational cloud concepts and planning workload migration through to upskilling and organization transformation. As you advance, you’ll find out how to identify and align your business goals with the most suitable cloud technology options available. The chapters are designed in a way to enable you to plan for a smooth transition, while minimizing disruption to your day-to-day operations. You’ll also discover how the cloud can help drive innovation in your business or enable modern software development practices such as microservices and CI/CD. Throughout the chapters, you’ll see how decision makers can interact with other internal stakeholders to achieve success through the power of collaboration. By the end of this book, you’ll be more informed and less overwhelmed about moving your business to the cloud.

Azure Containers Explained. Leverage Azure container technologies for effective application migration and deployment

Wesley Haakman, Richard Hooper

Whether you’re working with a start-up or an enterprise, making decisions related to using different container technologies on Azure has a notable impact your app migration and modernization strategies. This is where companies face challenges, while choosing the right solutions and deciding when to move on to the next technology. Azure Containers Explained helps you make the right architectural choices for your solutions and get well-versed with the migration path to other platforms using practical examples.You’ll begin with a recap of containers as technology and where you can store them within Azure. Next, you’ll explore the different Microsoft Azure container technologies and understand how each platform, namely Azure Container Apps, Azure Kubernetes Service (AKS), Azure Container Instances (ACI), Azure Functions, and Azure App Services, work – you’ll learn to implement them by grasping their respective characteristics and use cases. Finally, you’ll build upon your own container solution on Azure using best practices from real-world examples and successfully transform your business from a start-up to a full-fledged enterprise.By the end of this book, you’ll be able to effectively cater to your business and application needs by selecting and modernizing your apps using various Microsoft Azure container services.

Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure

Olivier Mertens, Breght Van Baelen

With data’s growing importance in businesses, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook is designed to assist any data professional or academic looking to advance their cloud data platform designing skills. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution.You’ll begin by getting to grips with core data architecture design concepts and Azure Data & AI services, before exploring cloud landing zones and best practices for building up an enterprise-scale data platform from scratch. Next, you’ll take a deep dive into various data domains such as data engineering, business intelligence, data science, and data governance. As you advance, you’ll cover topics ranging from learning different methods of ingesting data into the cloud to designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and learning how to leverage cloud computing to drive advanced analytical workloads. Finally, you’ll discover how to add data governance, compliance, and security to solutions.By the end of this book, you’ll have gained the expertise needed to become a well-rounded Azure Data & AI architect.

Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam

Newton Alex

Azure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other.Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you’ll work on sample questions and answers to familiarize yourself with the pattern of the exam.By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.

Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition

Giacinto Palmieri, Surendra Mettapalli, Newton Alex

One of the top global cloud providers, Azure offers extensive data hosting and processing services, driving widespread cloud adoption and creating a high demand for skilled data engineers. The Azure Data Engineer Associate (DP-203) certification is a vital credential, demonstrating your proficiency as an Azure data engineer to prospective employers. This comprehensive exam guide is designed for both beginners and seasoned professionals, aligned with the latest DP-203 certification exam, to help you pass the exam on your first try.The book provides a foundational understanding of IaaS, PaaS, and SaaS, starting with core concepts like virtual machines (VMs), VNETS, and App Services and progressing to advanced topics such as data storage, processing, and security. What sets this exam guide apart is its hands-on approach, seamlessly integrating theory with practice through real-world examples, practical exercises, and insights into Azure's evolving ecosystem. Additionally, you'll unlock lifetime access to supplementary practice material on an online platform, including mock exams, interactive flashcards, and exam tips, ensuring a comprehensive exam prep experience.By the end of this book, you’ll not only be ready to excel in the DP-203 exam, but also be equipped to tackle complex challenges as an Azure data engineer.

Azure Data Engineering Cookbook. Design and implement batch and streaming analytics using Azure Cloud Services

Ahmad Osama

Data engineering is one of the faster growing job areas as Data Engineers are the ones who ensure that the data is extracted, provisioned and the data is of the highest quality for data analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis.It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. You'll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, you'll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. You’ll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, you'll learn how to process streaming data using Azure Stream Analytics and Data Explorer.By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure.

Azure Data Engineering Cookbook. Get well versed in various data engineering techniques in Azure using this recipe-based guide - Second Edition

Nagaraj Venkatesan, Ahmad Osama

The famous quote 'Data is the new oil' seems more true every day as the key to most organizations' long-term success lies in extracting insights from raw data. One of the major challenges organizations face in leveraging value out of data is building performant data engineering pipelines for data visualization, ingestion, storage, and processing. This second edition of the immensely successful book by Ahmad Osama brings to you several recent enhancements in Azure data engineering and shares approximately 80 useful recipes covering common scenarios in building data engineering pipelines in Microsoft Azure.You’ll explore recipes from Azure Synapse Analytics workspaces Gen 2 and get to grips with Synapse Spark pools, SQL Serverless pools, Synapse integration pipelines, and Synapse data flows. You’ll also understand Synapse SQL Pool optimization techniques in this second edition. Besides Synapse enhancements, you’ll discover helpful tips on managing Azure SQL Database and learn about security, high availability, and performance monitoring. Finally, the book takes you through overall data engineering pipeline management, focusing on monitoring using Log Analytics and tracking data lineage using Azure Purview.By the end of this book, you’ll be able to build superior data engineering pipelines along with having an invaluable go-to guide.

Azure Data Factory Cookbook. Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service

Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton

Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Factory Cookbook helps you get up and running by showing you how to create and execute your first job in ADF. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines. This book will help you to discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage, which are frequently used for big data analytics. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premise infrastructure with cloud-native tools to get relevant business insights. As you advance, you’ll be able to integrate the most commonly used Azure Services into ADF and understand how Azure services can be useful in designing ETL pipelines. The book will take you through the common errors that you may encounter while working with ADF and show you how to use the Azure portal to monitor pipelines. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.By the end of this book, you’ll be able to use ADF as the main ETL and orchestration tool for your data warehouse or data platform projects.

Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition

Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton

This new edition of the Azure Data Factory book, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. There are updated and new recipes throughout the book based on developments happening in Azure Synapse, Deployment with Azure DevOps, and Azure Purview. The current edition also runs you through Fabric Data Factory, Data Explorer, and some industry-grade best practices with specific chapters on each.You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out the solutions to them. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.By the end of this book, you’ll be able to use ADF with its latest advancements as the main ETL and orchestration tool for your data warehouse projects.

Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam

Andreas Botsikas, Michael Hlobil

The Azure Data Scientist Associate Certification Guide helps you acquire practical knowledge for machine learning experimentation on Azure. It covers everything you need to pass the DP-100 exam and become a certified Azure Data Scientist Associate.Starting with an introduction to data science, you'll learn the terminology that will be used throughout the book and then move on to the Azure Machine Learning (Azure ML) workspace. You'll discover the studio interface and manage various components, such as data stores and compute clusters.Next, the book focuses on no-code and low-code experimentation, and shows you how to use the Automated ML wizard to locate and deploy optimal models for your dataset. You'll also learn how to run end-to-end data science experiments using the designer provided in Azure ML Studio.You'll then explore the Azure ML Software Development Kit (SDK) for Python and advance to creating experiments and publishing models using code. The book also guides you in optimizing your model's hyperparameters using Hyperdrive before demonstrating how to use responsible AI tools to interpret and debug your models. Once you have a trained model, you'll learn to operationalize it for batch or real-time inferences and monitor it in production.By the end of this Azure certification study guide, you'll have gained the knowledge and the practical skills required to pass the DP-100 exam.

Azure Databricks Cookbook. Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service

Phani Raj, Vinod Jaiswal

Azure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment. The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse.The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates. You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub. The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines. You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics. Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD).By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.

Azure DevOps Explained. Get started with Azure DevOps and develop your DevOps practices

Sjoukje Zaal, Stefano Demiliani, Amit Malik

Developing applications for the cloud involves changing development methodologies and procedures. Continuous integration and continuous deployment (CI/CD) processes are a must today, but are often difficult to implement and adopt. Azure DevOps is a Microsoft Azure cloud service that enhances your application development life cycle and enables DevOps capabilities.Starting with a comprehensive product overview, this book helps you to understand Azure DevOps and apply DevOps techniques to your development projects. You'll find out how to adopt DevOps techniques for your development processes by using built-in Azure DevOps tools. Throughout the course of this book, you'll also discover how to manage a project with the help of project management techniques such as Agile and Scrum, and then progress toward development aspects such as source code management, build pipelines, code testing and artifacts, release pipelines, and GitHub integration. As you learn how to implement DevOps practices, this book will also provide you with real-world examples and scenarios of DevOps adoption.By the end of this DevOps book, you will have learned how to adopt and implement Azure DevOps features in your real-world development processes.

Azure DevOps Server 2019 Cookbook. Proven recipes to accelerate your DevOps journey with Azure DevOps Server 2019 (formerly TFS) - Second Edition

Tarun Arora, Utkarsh Shigihalli

Previously known as Team Foundation Server (TFS), Azure DevOps Server is a comprehensive on-premise DevOps toolset with a rich ecosystem of open source plugins. This book will help you learn how to effectively use the different Azure DevOps services.You will start by building high-quality scalable software targeting .NET, .NET Core and Node.js applications. Next, you will learn techniques that will help you to set up end-to-end traceability of your code changes, from design through to release. Whether you are deploying software on-premise or in the cloud in App Service, Functions, or Azure VMs, this book will help you learn release management techniques to reduce failures. As you progress, you will be able to secure application configuration by using Azure Key Vault. You will also understand how to create and release extensions to the Azure DevOps marketplace and reach the million-strong developer ecosystem for feedback. Later, the working extension samples will even allow you to iterate changes in your extensions easily and release updates to the marketplace quickly.By the end of this book, you will be equipped with the skills you need to break down the invisible silos between your software development teams, and transform them into a modern cross-functional software development team.

Azure for Architects. Create secure, scalable, high-availability applications on the cloud - Third Edition

Ritesh Modi, Jack Lee, Rithin Skaria

Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions.You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities.By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions.

Azure for Architects. Implementing cloud design, DevOps, containers, IoT, and serverless solutions on your public cloud - Second Edition

Ritesh Modi

Over the years, Azure cloud services have grown quickly, and the number of organizations adopting Azure for their cloud services is also gradually increasing. Leading industry giants are finding that Azure fulfills their extensive cloud requirements.Azure for Architects – Second Edition starts with an extensive introduction to major designing and architectural aspects available with Azure. These design patterns focus on different aspects of the cloud, such as high availability, security, and scalability. Gradually, we move on to other aspects, such as ARM template modular design and deployments.This is the age of microservices and serverless is the preferred implementation mechanism for them. This book covers the entire serverless stack available in Azure including Azure Event Grid, Azure Functions, and Azure Logic Apps. New and advance features like durable functions are discussed at length. A complete integration solution using these serverless technologies is also part of the book. A complete chapter discusses all possible options related to containers in Azure including Azure Kubernetes services, Azure Container Instances and Registry, and Web App for Containers.Data management and integration is an integral part of this book that discusses options for implementing OLTP solutions using Azure SQL, Big Data solutions using Azure Data factory and Data Lake Storage, eventing solutions using stream analytics, and Event Hubs. This book will provide insights into Azure governance features such as tagging, RBAC, cost management, and policies.By the end of this book, you will be able to develop a full-?edged Azure cloud solution that is Enterprise class and future-ready.

Azure for Architects. Implementing cloud design, DevOps, IoT, and serverless solutions on your public cloud

Ritesh Modi

Over the years, Azure cloud services has grown quickly, and the number of organizations adopting Azure for their cloud services is also gradually increasing. Leading industry giants are finding that Azure fulfills their extensive cloud requirements.This book will guide you through all the important and tough decision-making aspects involved in architecturing a Azure public cloud for your organization. The book starts with an extensive introduction to all the categories of designs available with Azure. These design patterns focus on different aspects of cloud such as high availability, data management, and so on. Gradually, we move on to various aspects such as building your cloud structure and architecture. It will also include a brief description about different types of services provided by Azure, such as Azure functions and Azure Analytics, which can prove beneficial for an organization. This book will cover each and every aspect and function required to develop a Azure cloud based on your organizational requirements.By the end of this book, you will be in a position to develop a full-fledged Azure cloud.

Azure for Decision Makers. The essential guide to Azure for business leaders

Jack Lee, Jason Milgram, David Rendón

Azure for Decision Makers provides a comprehensive overview of the latest updates in cloud security, hybrid cloud and multi-cloud solutions, and cloud migration in Azure. This book is a must-have introduction to the Microsoft Azure cloud platform, demonstrating the substantial scope of digital transformation and innovation that can be achieved with Azure's capabilities.The first set of chapters will get you up to speed with Microsoft Azure's evolution before showing you how to integrate it into your existing IT infrastructure. Next, you’ll gain practical insights into application migration and modernization, focusing mainly on migration planning, implementation, and best practices. Throughout the book, you’ll get the information you need to spearhead a smooth migration and modernization process, detailing Azure infrastructure as a service (IaaS) deployment, infrastructure management, and key application architectures. The concluding chapters will help you to identify and incorporate best practices for cost optimization and management, Azure DevOps, and Azure automation.By the end of this book, you’ll have learned how to lead end-to-end Azure operations for your organization and effectively cost-optimize your processes ─ from the planning and cloud migration stage through to troubleshooting.

Azure for Developers. Implement rich Azure PaaS ecosystems using containers, serverless services, and storage solutions - Second Edition

Kamil Mrzygłód

Microsoft Azure is currently one of the fastest growing public cloud service providers thanks to its sophisticated set of services for building fault-tolerant and scalable cloud-based applications.This second edition of Azure for Developers will take you on a journey through the various PaaS services available in Azure, including Azure App Service, Azure Functions, and Azure SQL Databases, showing you how to build a complete and reliable system with ease. Throughout the book, you’ll discover ways to enhance your skills when building cloud-based solutions leveraging different SQL/NoSQL databases, serverless and messaging components, containerized solutions, and even search engines such as Azure Cognitive Search. That’s not all!! The book also covers more advanced scenarios such as scalability best practices, serving static content with Azure CDN, and distributing loads with Azure Traffic Manager, Azure Application Gateway, and Azure Front Door.By the end of this Azure book, you’ll be able to build modern applications on the Azure cloud using the most popular and promising technologies to make your solutions reliable, stable, and efficient.

Azure Integration Guide for Business. Master effective architecture strategies for business innovation

Joshua Garverick, Jack Lee, Mélony Qin, Trevoir Williams

Azure Integration Guide for Business is essential for decision makers planning to transform their business with Microsoft Azure. The Microsoft Azure cloud platform can improve the availability, scalability, and cost-efficiency of any business.The guidance in this book will help decision makers gain valuable insights into proactively managing their applications and infrastructure. You'll learn to apply best practices in Azure Virtual Network and Azure Storage design, ensuring an efficient and secure cloud infrastructure. You'll also discover how to automate Azure through Infrastructure as Code (IaC) and leverage various Azure services to support OLTP applications. Next, you’ll explore how to implement Azure offerings for event-driven architectural solutions and serverless applications. Additionally, you’ll gain in-depth knowledge on how to develop an automated, secure, and scalable solutions. Core elements of the Azure ecosystem will be discussed in the final chapters of the book, such as big data solutions, cost governance, and best practices to help you optimize your business.By the end of this book, you’ll understand what a well-architected Azure solution looks like and how to lead your organization toward a tailored Azure solution that meets your business needs.

Azure IoT Development Cookbook. Develop and manage robust IoT solutions

Yatish Patil

Microsoft’s end-to-end IoT platform is the most complete IoT offering, empowering enterprises to build and realize value from IoT solutions efficiently. It is important to develop robust and reliable solutions for your organization to leverage IoT services.This book focuses on how to start building custom solutions using the IoT hub or the preconfigured solution of Azure IoT suite. As a developer, you will be taught how to connect multiple devices to the Azure IoT hub, develop, manage the IoT hub service and integrate the hub with cloud. We will be covering REST APIs along with HTTP, MQTT and AMQP protocols. It also helps you learn Pre-Configured IoT Suite solution. Moving ahead we will be covering topics like:-Process device-to-cloud messages and cloud-to-device messages using .Net-Direct methods and device management-Query Language, Azure IoT SDK for .Net-Creating and managing, Securing IoT hub, IoT Suite and many more. We will be using windows 10 IoT core, Visual Studio, universal Windows platform. At the end, we will take you through IoT analytics and provide a demo of connecting real device with Azure IoT.

Azure Machine Learning Engineering. Deploy, fine-tune, and optimize ML models using Microsoft Azure

Sina Fakhraee, Balamurugan Balakreshnan, Megan Masanz

Data scientists working on productionizing machine learning (ML) workloads face a breadth of challenges at every step owing to the countless factors involved in getting ML models deployed and running. This book offers solutions to common issues, detailed explanations of essential concepts, and step-by-step instructions to productionize ML workloads using the Azure Machine Learning service. You’ll see how data scientists and ML engineers working with Microsoft Azure can train and deploy ML models at scale by putting their knowledge to work with this practical guide.Throughout the book, you’ll learn how to train, register, and productionize ML models by making use of the power of the Azure Machine Learning service. You’ll get to grips with scoring models in real time and batch, explaining models to earn business trust, mitigating model bias, and developing solutions using an MLOps framework.By the end of this Azure Machine Learning book, you’ll be ready to build and deploy end-to-end ML solutions into a production system using the Azure Machine Learning service for real-time scenarios.

Azure Networking Cookbook. Practical recipes for secure network infrastructure, global application delivery, and accessible connectivity in Azure - Second Edition

Mustafa Toroman

Azure's networking services enable organizations to manage their networks effectively. With the Azure Networking Cookbook, you’ll see how Azure paves the way for an enterprise to achieve reliable performance and secure connectivity.This updated second edition will take you through the latest networking features in Azure. The book starts with an introduction to Azure networking, covering basics such as creating Azure virtual networks, designing address spaces, and creating subnets. You’ll create and manage network security groups, application security groups, and IP addresses in Azure using easy-to-follow recipes. As you progress through the book, you’ll explore various aspects such as DNS and routing, load balancers, Traffic Manager, and site-to-site, point-to-site, and VNet-to-VNet connections. This cookbook covers all the functions crucial to understanding cloud networking practices and being able to plan, implement, and secure your network infrastructure with Azure. You’ll not only upscale your current environment but also get well-versed with monitoring, diagnosing, and ensuring secure connectivity. The book will help you grasp best practices as you learn how to create a robust environment.By the end of this Azure cookbook, you’ll have gained hands-on experience developing cost-effective solutions that can facilitate efficient connectivity in your organization.

Azure Networking Cookbook. Practical recipes to manage network traffic in Azure, optimize performance, and secure Azure resources

Mustafa Toroman

Microsoft provides organizations with an effective way of managing their network with Azure's networking services. No matter the size of your organization, Azure provides a way to highly reliable performance and secure connectivity with its networking services. The book starts with an introduction to the Azure networking like creating Azure virtual networks, designing address spaces and subnets. Then you will learn to create and manage network security groups, application security groups, and IP addresses in Azure. Gradually, we move on to various aspects like S2S, P2S, and Vnet2Vnet connections, DNS and routing, load balancers and traffic manager. This book will cover every aspect and function required to deliver practical recipes to help readers learn from basic cloud networking practices to planning, implementing, and securing their infrastructure network with Azure. Readers will not only be able to upscale their current environment but will also learn to monitor, diagnose, and ensure secure connectivity. After learning to deliver a robust environment readers will also gain meaningful insights from recipes on best practices.By the end of this book, readers will gain hands-on experience in providing cost-effective solutions that benefit organizations.