Mastering the Microsoft Kinect: Body Tracking, Object Detection, and the Azure Cloud Services, Pterneas Vangos
Автор: Ambi Karthikeyan Название: Practical Microsoft Azure IaaS ISBN: 1484237625 ISBN-13(EAN): 9781484237625 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Adopt Azure IaaS and migrate your on-premise infrastructure partially or fully to Azure. This book provides practical solutions by following Microsoft’s design and best practice guidelines for building highly available, scalable, and secure solution stacks using Microsoft Azure IaaS.
The author starts by giving an overview of Azure IaaS and its components: you’ll see the new aspects of Azure Resource Manager, storage in IaaS, and Azure networking. As such, you’ll cover design considerations for migration and implementation of infrastructure services, giving you practical skills to apply to your own projects.
The next part of the book takes you through the different components of Azure IaaS that need to be included in a resilient architecture and how to set up a highly available infrastructure in Azure. The author focuses on the tools available for Azure IaaS automated provisioning and the different performance monitoring and fine-tuning options available for the platform. Finally, you’ll gain practical skills in Azure security and implementing Azure architectures.
After reading Practical Microsoft Azure IaaS, you will have learned how to map the familiar on-premise architecture components to their cloud infrastructure counterparts. This book provides a focused and practical approach to designing solutions to be hosted in Azure IaaS.
What You Will Learn
Map the key Azure components to familiar concepts in infrastructure, such as virtualization, storage provisioning, switching, and firewallsImplement Azure IaaS deployment architectures Design IaaS environments in line with the Microsoft recommended best practices for scalability, resiliency, availability, performance, and securityManage the operational aspects of hosted environments, leverage automation, and fine tune for optimal performance
Who This Book Is For
Infrastructure and solution architects with skills in on-premise infrastructure design who want to up-skill in Azure IaaS.
Автор: Freato Roberto, Parenzan Marco Название: Mastering Cloud Development using Microsoft Azure ISBN: 1782173331 ISBN-13(EAN): 9781782173335 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Nickel Jochen Название: Mastering Identity and Access Management with Microsoft Azure ISBN: 1785889443 ISBN-13(EAN): 9781785889448 Издательство: Неизвестно Рейтинг: Цена: 80910.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Satapathi Название: Developing Cloud-Native Solutions with Microsoft Azure and .NET ISBN: 1484290038 ISBN-13(EAN): 9781484290033 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Build and deploy applications by leveraging Azure PaaS and serverless services using Azure DevOps and GitHub Actions. This book provides step-by-step explanations of essential concepts, practical examples, and self-assessment questions that will help you gain the necessary expertise to build cloud-native solutions using Microsoft Azure and .NET. The book starts with essential topics that will help get you familiar with the fundamental concepts of Azure, followed by example-based guides on building distributed solutions using Azure Web App, Azure Messaging, and communication services. You will then learn how to implement the knowledge you've thus far gained to build containerized workloads using Azure Container-based services. Next, you will focus on building solutions by using Azure Storage and Data services, where you will go through Azure Blob Storage and learn how to interact with Azure Cosmos DB from applications using the .NET SDK. Moving forward, you will explore how to build intelligent applications using Azure AI and IoT services, including Azure Cognitive Services. In the book's final section, you will explore ways to deploy applications using Azure DevOps and GitHub Actions. After reading this book, you will be able to build scalable, enterprise-grade applications using various Azure services. What You Will Learn * Build an ASP.NET 6 Web API to send messages to Azure Service Bus Queue * Use and implement Azure Communication Services * Build and containerize a .NET API * Understand IoT solutions using Azure IoT Hub, Azure Functions, and Azure Cosmos DB Who This Book Is For Experienced developers and cloud architects working with Microsoft Azure.
Автор: Guay Paz, Jose Rolando Название: Microsoft azure cosmos db revealed ISBN: 1484233506 ISBN-13(EAN): 9781484233504 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Learn the main features of Azure Cosmos DB and how to use Microsoft’s multi-model database service as a data store for mission-critical applications. The clear examples help in writing your own applications to take advantage of Cosmos DB’s multi-model, globally distributed, elastic database. Simple step-by-step instructions show how to resolve common and uncommon scenarios involving Azure Cosmos DB, and scenarios such as delivering extremely low response times (in the order of milliseconds), and scaling rapidly and globally.
Microsoft Azure Cosmos DB Revealed demonstrates a multitude of possible implementations to get you started. This book guides you toward best practices to get the most out of Microsoft’s Cosmos DB service. Later chapters in the book cover advanced implementation features, helping you master important elements such as securing the database, querying, and using various APIs.
What You'll Learn
Set up a development environment to work with Azure Cosmos DBConfigure Azure Cosmos DB in a production environment with multi-region distributionQuery using all APIs, including SQL, JavaScript, MongoDB, and GraphWork with the Azure Cosmos DB.NET SDK in an application you builtAccess Cosmos DB from web applications created in .NET
Who This Book Is For
Developers who build applications to be hosted in Microsoft Azure, whether they use PaaS or IaaS. No previous knowledge of Azure Cosmos DB is assumed, but readers must be familiar with developing applications in Microsoft Visual Studio.
Автор: Maddie Stigler Название: Beginning Serverless Computing ISBN: 1484230833 ISBN-13(EAN): 9781484230831 Издательство: Springer Рейтинг: Цена: 30740.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Learn the basics of serverless computing and how to develop event-driven architectures with the three major cloud platforms: Amazon Web Services, Microsoft Azure, and Google Cloud. This hands-on guide dives into the foundations of serverless computing, its use cases, and how to apply it using developer tools such as Node.js, Visual Studio Code, Postman, and Serverless Framework. You will apply the fundamentals of serverless technology from the ground up, and come away with a greater understanding of its power and how to make it work for you. This book teaches you how to quickly and securely develop applications without the hassle of configuring and maintaining infrastructure. You will learn how to harness serverless technology to rapidly reduce production time and minimize your costs, while still having the freedom to customize your code, without hindering functionality. Upon completion, you will have the knowledge and resources to build your own serverless application hosted in AWS, Azure, or Google Cloud and will have experienced the benefits of event-driven technology for yourself. What You'll Learn
Gain a deeper understanding of serverless computing and when to use it
Use development tools such as Node.js, Postman, and VS code to quickly set up your serverless development environment and produce applications
Apply triggers to your serverless functions that best suit the architecture for the problem the functions are solving
Begin building applications across cloud providers that utilize the power of serverless technology
Understand best development practices with serverless computing to maintain scalable and practical solutions
Code with an agnostic approach to cloud providers to minimize provider dependency
Who This Book Is For
Any developer looking to expand current knowledge of serverless computing, its applications, and how to architect serverless solutions, or someone just beginning in these areas
Автор: Mishra Название: Microsoft Azure for Java Developers ISBN: 1484282507 ISBN-13(EAN): 9781484282502 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Learn Azure-based features to build and deploy Java applications on Microsoft’s Azure cloud platform. This book provides examples of components on Azure that are of special interest to Java programmers, including the different deployment models that are available. The book shows how to deploy your Java applications in Azure WebApp, Azure Kubernetes Service, Azure Functions, and Azure Spring Cloud. Also covered is integration with components such as Graph API, Azure Storage, Azure Redis Cache, and Azure SQL. The book begins with a brief discussion of cloud computing and an introduction to Java support on Azure. You’ll then learn how to deploy Java applications using each of the deployment models, and you’ll see examples of integrating with Azure services that are of particular interest to Java programmers. Security is an important aspect, and this book shows you how to enable authentication and authorization for your Java applications using Azure Active Directory. Implementing a DevOps strategy is essential in today’s market when building any application. Examples in this book show you how to build continuous integration and continuous deployment pipelines to build and deploy Java applications on Azure. The book focuses on the best practices you should follow while designing and implementing Java applications on Azure. The book also elaborates on monitoring and debugging Java applications running on Azure using Application Insights and Azure Monitor. What You Will Learn * Design and build Azure-based Java applications * Run Azure-based Java applications on services such as Azure App Services, Azure Spring Cloud, Azure Functions, and Azure Kubernetes Service * Integrate Azure services such as Azure SQL, Azure Storage Account, Azure Redis Cache, Azure Active Directory, and more with Java applications running on Azure * Monitor and debug Java applications running on Azure * Secure Azure-based Java applications * Build DevOps CI/CD strategy for Azure-based Java applications * Package and deploy Azure-based Java applications on Azure Who This Book Is For Java developers planning to build Azure-based Java applications and deploy them on Azure. Developers should be aware of the preliminary cloud fundamentals to help them understand the Java capability available on Azure. They do not need to be an expert in Azure to grasp the book’s content and start building Java-based applications using the capability available on Azure. However, they should have a good understanding of the Java programming language and frameworks.
Автор: Soh, Julian Copeland, Marshall Puca, Anthony Harris, Micheleen Название: Microsoft azure ISBN: 1484259572 ISBN-13(EAN): 9781484259573 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
PART I Introducing Microsoft Azure
Ch 1. Microsoft Azure and Cloud Computing
Overview of Microsoft Azure services
Azure concepts
Availability Zones
Security, Compliance, and Privacy primer
Azure licensing and cost management concepts
Subscriptions
Ch 2. Overview of Azure Infrastructure-as-a-Service (IaaS) services
Azure Virtual Machines
Azure Networking
Hybrid data center design concepts (private-public cloud)
Hybrid data center operations and monitoring
IaaS security considerations
Ch 3. Overview of Azure Platform-as-a-Service
Azure Storage Accounts
Azure WebApps
Azure Database Services
Azure PaaS networking services
Azure Machine Learning and Cognitive Services
Azure Load Balancers
Azure Batch
Ch 4. Azure AppDev ServicesOverview
Azure DevOps and GitHub
Azure IaaS as code
Visual Studio
Containers - AKS
5. Ethical AI, Azure AI, and Machine Learning
Azure for the modern Data Engineers
Azure SQL Database
Azure SQL Managed Instance
Azure SQL Data Warehouse
Azure Cosmos DB
Azure Data Lake Service (gen 2)
Azure Data Factory v2
Cognitive Services
Artificial Intelligence and Machine Learning
PART II Planning and adopting Azure
6. Budgeting and cloud economics
Using assessment tools - Microsoft Movere
Understanding Cloud Economics - CapEx vs OpEx
Forecasting and other cost saving features Autoscaling Reserved Instances Service Level Agreement in LRS vs GRS
Azure Cost Mgmt and Billing
7. Designing a Hybrid Data Center
Networking considerations
PaaS Considerations
Identity and Access Management
Security and monitoring
8.Tools, training, and upskilling existing IT personnel
Available and required minimum training
Assembling the toolkit for the Cloud engineer
PowerShell ISE
Visual Studio Code
Azure Storage Explorer
ARM Templates
Hashicorp Terraform
Source control
Common Mistakes
PART III Using Azure for Infrastructure-as-a-Service (IaaS)
9. Implementing Azur networking
Designing and implementing Virtual Networks (vNets)
Implementing Site-to-Site VPN
Implementing ExpressRoute
ER Direct
Global Reach
Implementing Network Security Groups
Im
Автор: Kettner Benjamin, Geisler Frank Название: Pro Serverless Data Handling with Microsoft Azure: Architecting ETL and Data-Driven Applications in the Cloud ISBN: 1484280660 ISBN-13(EAN): 9781484280669 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Design and build architectures on the Microsoft Azure platform specifically for data-driven and ETL applications. Modern cloud architectures rely on serverless components more than ever, and this book helps you identify those components of data-driven or ETL applications that can be tackled using the technologies available on the Azure platform. The book shows you which Azure components are best suited to form a strong foundation for data-driven applications in the Microsoft Azure Cloud. If you are a solution architect or a decision maker, the conceptual aspects of this book will help you gain a deeper understanding of the underlying technology and its capabilities. You will understand how to develop using Azure Functions, Azure Data Factory, Logic Apps, and to employ serverless databases in your application to achieve the best scalability and design. If you are a developer, you will benefit from the hands-on approach used throughout this book. Many practical examples and architectures applied in real-world projects will be valuable to you on your path to serverless success. What You Will Learn * Know what services are available in Microsoft Azure that can deal with large amounts of data * Design modern data applications based on serverless technology in the cloud * Transform and present data without the use of infrastructure * Employ proven design patterns for rapid implementation of serverless data applications * Choose the correct set of development tools for the services you are using * Understand the term "serverless" and how it can be a benefit * Identify scenarios in which serverless is not the best option available Who This Book Is For Architects and decision makers who want to understand how modern architectures are designed and how to modernize their applications. The book is aimed at the developer who needs a steppingstone to quickly implement a serverless data application. And the book is for any IT professional who seeks a head start to serverless computing for data-heavy applications on the Azure platform.
Автор: Diaz Francesco, Freato Roberto Название: Cloud Data Design, Orchestration, and Management Using Microsoft Azure: Master and Design a Solution Leveraging the Azure Data Platform ISBN: 1484236149 ISBN-13(EAN): 9781484236147 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1 Overview of data architecture on Microsoft Azure Introduction Technologies: everyone touched in the book plus some other edge technologies just mentioned. We explain the scenarios of the book.This chapter will be written during the whole process, updating it with the relevant content of the scenarios developed in the chapters. 2 Working with Relational DBs on Azure Relational DBs scenarios Technologies: VMs, Backup, Storage, SQL Server DR and GEO-DR, (Oracle, MySQL)We would like to cover the best practices to deploy standard RDBMSs while using Azure VMs and networking. 3 Working with Azure SQL Database Azure DB scenarios Technologies: Azure SQL DB, Stretch DB, Database Pools, Sharding data, Migration from other RDBMSs to Azure SQL DBThis chapter is about the SQL Database PaaS, with some tricks for advanced usage. We cover the services and the connected services, how to scale with relational DBs and how to write multi-tenant applications. 4 Working with NoSQL alternatives NoSQL scenarios Technologies: Storage, DocumentDB, Redis, Azure SearchThis chapter enforces the polyglot persistence idea, where different technologies and data sources address different needs. The NoSQL alternatives can fill the gap of modern applications in terms of performance and feature set. 5 Orchestrate data with Azure Data Factory Integration scenarios Technologies: Azure Data FactoryIn this chapter we talk about integration of different data sources and advanced pipelines of data transformation. We explore some scenarios to lower the complexity of the Data Factory service and we see how to setup existing solutions to fit it. 6 Advanced analysis with Azure Data Lake Analysis scenarios Technologies: Data Lake Store/Analytics, U-SQLThis is the first chapter about ingestion of big data. This is focused on ingestion of native data, to be prepared, enriched and evaluated/analyzed in a second step. 7 Real-time Ingestion, Processing and Prediction Real-time scenarios Technologies: Machine Learning, Stream Analytics, Event HubThis is instead focused in ingestion of well-known and structured data with the aim to process it in real-time. In addition a step of prediction is added to react (in real time too) to certain events. 8 Working with Big Data with Azure Batch and Map/Reduce Big data scenarios Technologies: HDInsight, Hadoop, Spark, R Server, Storm, Azure BatchThis is the last chapter about Big Data, exploring the industry standard to perform data operations, while executing those engines on Azure. 9 APPENDIX (tbd yet, adding some of the topics below to one of the other chapter still has to be defined) Other Technologies: Azure Analysis Services (chapter 3?), Power BI (chapter 6?), Azure SQL DataWarehouse (chapter 6?), Azure Data Catalog (chapter 5?)Those technologies should fit the existing chapters, but we do not know where they best fit at the time being.
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