| Description |
1 online resource (533 pages) : color illustrations |
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text file |
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PDF |
| Contents |
Intro -- Table of Contents -- About the Authors -- About the Technical Reviewers -- Acknowledgments -- Introduction -- Part I: Introducing Microsoft Azure -- Chapter 1: Microsoft Azure and Cloud Computing -- Where Is Microsoft Azure Today? -- Azure Availability -- Azure Compliance -- Microsoft Azure Subscriptions -- Azure Cost Management -- Azure Resource Manager -- Microsoft Azure Identity -- Azure Security -- Azure Sentinel -- Previewing New Security Features -- IaaS and PaaS Security -- Summary -- Chapter 2: Overview of Azure Infrastructure as a Service (IaaS) Services |
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Azure Virtual Machines -- Azure Batch -- Azure Service Fabric -- Azure CycleCloud -- Azure VMware Solutions -- Azure Storage Services -- Blob Storage -- Hot Access Tier -- Cool Access Tier -- Archive Access Tier -- Storage Explorer -- Data Lake Storage Gen2 -- Managed Disks -- Queue Storage -- Azure Files -- Data Box -- Ephemeral OS Disks -- Azure Networking Services -- Azure Virtual Network -- Azure Application Gateway and Web Application Firewall -- Azure DDoS Protection -- ExpressRoute -- Azure Firewall -- Azure Front Door -- Azure Internet Analyzer -- Azure CDN -- Azure Load Balancer |
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Traffic Manager -- VPN Gateway -- Summary -- Chapter 3: Overview of Azure Platform as a Service -- Azure Web Apps -- Azure Database Services -- Azure DNS -- Azure Traffic Manager -- Content Delivery Network -- Azure Batch -- Azure Private Link -- Summary -- Chapter 4: Azure AppDev Services Overview -- Azure Development and GitHub -- Azure Infrastructure as Code -- Azure App Service -- Summary -- Chapter 5: Ethical AI, Azure AI, and Machine Learning -- Ethical AI -- Science Fiction and Reality: A Social Convergence -- What Is Ethical AI? -- Microsoft AI Principles -- Microsoft Cognitive Services |
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Object Recognition -- Use Case Scenarios -- Face AI -- Face Detection vs. Face Recognition -- Use Case Scenarios -- Speech Services -- Speech to Text -- Text to Speech -- Speaker Recognition -- Machine Reading Comprehension -- Machine Translation -- Use Case Scenarios -- Text Analytics: Sentiment -- Bots -- Use Case Scenarios -- Azure Machine Learning -- Azure Machine Learning -- Machine Learning Studio (Classic) -- Azure Databricks -- Use Cases for Azure Databricks -- Azure Data Science Virtual Machines -- Summary -- Part II: Planning and Adopting Azure |
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Chapter 6: Budgeting and Cloud Economics -- Understanding Cloud Economics: CapEx vs. OpEx -- Using Assessment Tools -- Forecasting and Other Cost-Saving Features -- Autoscaling -- Azure Hybrid Benefit -- AHB for Windows Server -- AHB for SQL Server -- Reserved Instances -- Azure Cost Management + Billing -- Summary -- Chapter 7: Designing a Hybrid Datacenter -- Networking Considerations -- PaaS Considerations -- Azure Private Link -- Azure Virtual Network Service Endpoints -- Identity and Access Management -- Security and Monitoring -- Summary |
| Note |
Chapter 8: Tools and Training to Up-Skill Existing IT Teams |
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Includes index. |
| Summary |
Gain the technical and business insight needed to plan, deploy, and manage the services provided by the Microsoft Azure cloud. This second edition focuses on improving operational decision tipping points for the professionals leading DevOps and security teams. This will allow you to make an informed decision concerning the workloads appropriate for your growing business in the Azure public cloud. Microsoft Azure starts with an introduction to Azure along with an overview of its architecture services such as IaaS and PaaS. Youll also take a look into Azures data, artificial intelligence, and machine learning services. Moving on, you will cover the planning for and adoption of Azure where you will go through budgeting, cloud economics, and designing a hybrid data center. Along the way, you will work with web apps, network PaaS, virtual machines, and much more. The final section of the book starts with Azure data services and big data with an in-depth discussion of Azure SQL Database, CosmosDB, Azure Data Lakes, and MySQL. You will further see how to migrate on-premises databases to Azure and use data engineering. Next, you will discover the various Azure services for application developers, including Azure DevOps and ASP.NET web apps. Finally, you will go through the machine learning and AI tools in Azure, including Azure Cognitive Services. You will: Apply design guidance and best practices using Microsoft Azure to achieve business growth Create and manage virtual machines Work with AI frameworks to process and analyze data to support business decisions and increase revenue Deploy, publish, and monitor a web app. |
| Subject |
Windows Azure.
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Windows Azure |
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Cloud computing.
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Infonuagique. |
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Cloud computing |
| Added Author |
Copeland, Marshall, author.
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Puca, Anthony, author.
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Harris, Micheleen, author.
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| Other Form: |
Print version: Soh, Julian. Microsoft Azure : Planning, Deploying, and Managing the Cloud. Berkeley, CA : Apress L.P., ©2020 9781484259573 |
| ISBN |
9781484259580 (electronic book) |
|
1484259580 (electronic book) |
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(paperback) |
| Standard No. |
10.1007/978-1-4842-5958-0 doi |
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10.1007/978-1-4842-5 |
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