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Microsoft Azure: Planning, Deploying, and Managing the Cloud 2nd ed. [Pehme köide]

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  • Formaat: Paperback / softback, 533 pages, kõrgus x laius: 254x178 mm, kaal: 1053 g, 313 Illustrations, black and white; XXIII, 533 p. 313 illus., 1 Paperback / softback
  • Ilmumisaeg: 25-Jul-2020
  • Kirjastus: APress
  • ISBN-10: 1484259572
  • ISBN-13: 9781484259573
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Microsoft Azure: Planning, Deploying, and Managing the Cloud 2nd ed.Suurem pilt
  • Formaat: Paperback / softback, 533 pages, kõrgus x laius: 254x178 mm, kaal: 1053 g, 313 Illustrations, black and white; XXIII, 533 p. 313 illus., 1 Paperback / softback
  • Ilmumisaeg: 25-Jul-2020
  • Kirjastus: APress
  • ISBN-10: 1484259572
  • ISBN-13: 9781484259573
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781484259573.html
Märksõnad:

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. You’ll also take a look into Azure’s 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.

What You Will Learn

  • 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

    • Who This Book Is For 

    Azure architects and business professionals looking for Azure deployment and implementation advice.

     

    About the Authors xvii
    About the Technical Reviewers xix
    Acknowledgments xxi
    Introduction xxiii
    Part I Introducing Microsoft Azure
    		1(2)
    Chapter 1 Microsoft Azure and Cloud Computing
    		3(1)
    Where Is Microsoft Azure Today?
    		4(1)
    Azure Availability
    		5(3)
    Azure Compliance
    		7(1)
    Microsoft Azure Subscriptions
    		8(2)
    Azure Cost Management
    		10(2)
    Azure Resource Manager
    		12(1)
    Microsoft Azure Identity
    		13(2)
    Azure Security
    		15(3)
    Azure Sentinel
    		17(1)
    Previewing New Security Features
    		18(1)
    Laas and PaaS Security
    		18(2)
    Summary
    		20(1)
    Chapter 2 Overview of Azure Infrastructure as a Service (laaS) Services
    		21(22)
    Azure Virtual Machines
    		22(6)
    Azure Batch
    		26(1)
    Azure Service Fabric
    		26(1)
    Azure CycleCloud
    		27(1)
    Azure VMware Solutions
    		27(1)
    Azure Storage Services
    		28(6)
    Blob Storage
    		30(1)
    Hot Access Tier
    		30(1)
    Cool Access Tier
    		30(1)
    Archive Access Tier
    		30(1)
    Storage Explorer
    		31(1)
    Data Lake Storage Gen2
    		31(1)
    Managed Disks
    		32(1)
    Queue Storage
    		32(1)
    Azure Files
    		33(1)
    Data Box
    		33(1)
    Ephemeral OS Disks
    		34(1)
    Azure Networking Services
    		34(6)
    Azure Virtual Network
    		35(1)
    Azure Application Gateway and Web Application Firewall
    		35(1)
    Azure DDoS Protection
    		36(1)
    ExpressRoute
    		37(1)
    Azure Firewall
    		37(1)
    Azure Front Door
    		38(1)
    Azure Internet Analyzer
    		38(1)
    Azure CDN
    		38(1)
    Azure Load Balancer
    		39(1)
    Traffic Manager
    		40(1)
    VPN Gateway
    		40(1)
    Summary
    		40(3)
    Chapter 3 Overview of Azure Platform as a Service
    		43(14)
    Azure Web Apps
    		43(2)
    Azure Database Services
    		45(1)
    Azure DNS
    		46(1)
    Azure Traffic Manager
    		47(2)
    Content Delivery Network
    		49(3)
    Azure Batch
    		52(1)
    Azure Private Link
    		52(2)
    Summary
    		54(3)
    Chapter 4 Azure AppDev Services Overview
    		57(10)
    Azure Development and GitHub
    		58(2)
    Azure Infrastructure as Code
    		60(6)
    Azure App Service
    		62(4)
    Summary
    		66(1)
    Chapter 5 Ethical Al, Azure Al, and Machine Learning
    		67(18)
    Ethical Al
    		68(3)
    Science Fiction and Reality: A Social Convergence
    		68(1)
    What Is Ethical Al?
    		69(1)
    Microsoft Al Principles
    		70(1)
    Microsoft Cognitive Services
    		71(9)
    Object Recognition
    		71(1)
    FaceAl
    		72(3)
    Speech Services
    		75(2)
    Machine Reading Comprehension
    		77(1)
    Machine Translation
    		77(1)
    Text Analytics: Sentiment
    		78(1)
    Bots
    		79(1)
    Azure Machine Learning
    		80(2)
    Azure Machine Learning
    		81(1)
    Machine Learning Studio (Classic)
    		82(1)
    Azure Databricks
    		82(1)
    Use Cases for Azure Databricks
    		83(1)
    Azure Data Science Virtual Machines
    		83(1)
    Summary
    		84(1)
    Part II Planning and Adopting Azure
    		85(2)
    Chapter 6 Budgeting and Cloud Economics
    		87(1)
    Understanding Cloud Economics: CapEx vs. OpEx
    		87(1)
    Using Assessment Tools
    		88(2)
    Forecasting and Other Cost-Saving Features
    		90(8)
    Autoscaling
    		93(1)
    Azure Hybrid Benefit
    		94(3)
    Reserved Instances
    		97(1)
    Azure Cost Management + Billing
    		98(2)
    Summary
    		100(1)
    Chapter 7 Designing a Hybrid Datacenter
    		101(14)
    Networking Considerations
    		102(2)
    PaaS Considerations
    		104(2)
    Azure Private Link
    		104(1)
    Azure Virtual Network Service Endpoints
    		105(1)
    Identity and Access Management
    		106(3)
    Security and Monitoring
    		109(4)
    Summary
    		113(2)
    Chapter 8 Tools and Training to Up-Skill Existing IT Teams
    		115(20)
    Available Training
    		115(5)
    Cloud Engineer Toolkit
    		120(7)
    Azure Storage Explorer
    		127(1)
    Azure Resource Manager (ARM) and HashiCorp Terraform
    		128(2)
    Version Control
    		130(3)
    Summary
    		133(2)
    Part III Using Azure for Infrastructure as a Service (laaS)
    		135(2)
    Chapter 9 Implementing Azure Networking
    		137(1)
    Internet Connectivity
    		138(2)
    Azure VPN
    		140(2)
    ExpressRoute
    		142(2)
    Layer 2 ExpressRoute
    		146(1)
    Layer 3 ExpressRoute
    		147(2)
    ExpressRoute Premium
    		149(1)
    ExpressRoute Direct
    		149(1)
    ExpressRoute Global Reach
    		150(1)
    Implementing ExpressRoute
    		151(2)
    Azure Virtual WAN
    		153(3)
    Implementing Network Security Groups
    		156(2)
    Implementing Security and Monitoring for networks
    		158(1)
    Network Watcher
    		159(4)
    Network Performance Monitor
    		160(3)
    Summary
    		163(2)
    Chapter 10 Virtual Machines
    		165(36)
    Creating and Managing Virtual Machines
    		165(23)
    Operating Systems (Windows, Linux)
    		167(1)
    Shared Image Gallery
    		168(2)
    Uploading Custom Images
    		170(6)
    Virtual Machine Disks
    		176(1)
    Image Builder
    		177(1)
    Monitoring the Health of Virtual Machines
    		178(5)
    Securing Virtual Machines
    		183(4)
    Troubleshooting
    		187(1)
    Improving VM Availability
    		188(11)
    Availability Zones
    		188(1)
    Availability Sets
    		189(1)
    Disaster Recovery
    		190(1)
    Azure Site Recovery
    		191(8)
    Summary
    		199(2)
    Chapter 11 Infrastructure as Code (laC)
    		201(30)
    Overview of laC in Microsoft Azure
    		202(1)
    Infrastructure as Code Example
    		203(16)
    ARM Templates
    		205(5)
    HashiCorp Terraform on Azure
    		210(9)
    Deploy VNets with Code
    		219(1)
    Deploy VMs with Code
    		220(2)
    Lac Enhancement Considerations
    		222(5)
    Troubleshooting laC
    		227(2)
    Azure Blueprints
    		227(2)
    Summary
    		229(2)
    Part IV Adopting Platform as a Service (PaaS)
    		231(1)
    Chapter 12 Azure Web Apps
    		233(1)
    What Are Web Apps?
    		233(5)
    Hands-on: Deploying a Web App
    		234(4)
    Self-Guided Exercise
    		238(1)
    Content Management Systems on Web Apps
    		238(3)
    Using Azure Web Apps
    		241(7)
    Hands-on: Publishing to a Web App
    		242(1)
    Hands-on: Adding a Custom Domain to a Web App
    		242(3)
    Hands-on: Monitoring a Web App
    		245(2)
    Hands-on: Self-Guided Exercises
    		247(1)
    Summary
    		248(1)
    Chapter 13 Network Platform as a Service
    		249(22)
    Azure DDoS Protection
    		252(2)
    Web Application Firewall
    		254(3)
    Application Gateway
    		257(1)
    Load Balancers
    		258(2)
    Azure Front Door Service
    		260(7)
    Azure Firewall
    		267(2)
    Summary
    		269(2)
    Chapter 14 Azure Storage
    		271(22)
    The Difference Between Azure Storage and Azure Databases
    		271(1)
    Cloud Storage and Storage Accounts
    		271(1)
    Azure Blob Storage
    		272(9)
    Hands-on: Deploying Azure Blob Storage
    		274(4)
    Hands-on: Using Azure Blob Storage
    		278(3)
    Next Steps: Azure Blob Storage
    		281(1)
    Azure Data Lake Store (ADLS)
    		281(1)
    Azure Tables
    		282(6)
    Anatomy of Azure Tables
    		283(3)
    Hands-on: Using Azure Tables
    		286(1)
    Next Steps: Azure Tables
    		287(1)
    Azure Files
    		288(1)
    Hands-on: Using Azure Files
    		288(1)
    Next Steps: Azure Files
    		289(1)
    Azure Queues
    		289(2)
    Hands-on: Using Azure Queues
    		290(1)
    Next Steps: Azure Queues
    		290(1)
    Summary
    		291(2)
    Part V Azure Data Services and Big Data
    		293(2)
    Chapter 15 Azure Cognitive (COG) Services
    		295(1)
    Azure Cognitive Services
    		295(3)
    Quick Hands-on Introduction
    		298(2)
    Hands-on Exercise
    		300(8)
    Scenario
    		300(1)
    Final Product
    		301(1)
    Exercise
    		302(6)
    Other Real-World Uses
    		308(1)
    Bots
    		308(1)
    QnA Maker
    		309(1)
    Hands-on Exercise Part 1: QnA Maker
    		310(4)
    Hands-on Exercise Part 2: Deploying Bots to a Website
    		314(9)
    Summary
    		323(2)
    Chapter 16 Machine Learning and Deep Learning
    		325(44)
    Introduction to Machine Learning and Deep Learning
    		325(10)
    Data Discussion
    		329(2)
    Traditional ML
    		331(2)
    Neural Networks
    		333(2)
    Transfer Learning
    		335(1)
    The Data Science Process
    		335(10)
    Prerequisites for Becoming a Successful Data Scientist
    		337(1)
    Overview of the Data Science Virtual Machine
    		338(1)
    A Jupyter Notebook Overview
    		339(1)
    Hands-on with the Data Science Virtual Machine
    		340(5)
    Overview of Azure Machine Learning
    		345(13)
    Hands-on with Azure Machine Learning: Training a Model
    		347(7)
    Hands-on with Azure Machine Learning: Deploying a Model
    		354(2)
    Use Case: Image Classification with a Deep Neural Network and Azure Machine Learning
    		356(1)
    Hands-on with Azure Machine Learning and PyTorch
    		357(1)
    Lot Devices and the Intelligent Edge
    		358(3)
    Overview of Spark and Databricks
    		361(7)
    Auto ML with Azure Databricks and Azure Machine Learning
    		362(1)
    Hands-on with Azure Databricks and Auto ML
    		363(5)
    Use Case: Azure Databricks for Data Scientists
    		368(1)
    Summary
    		368(1)
    Chapter 17 Azure Data Services
    		369(42)
    Data Trends
    		370(4)
    Data Types and Volume
    		370(1)
    Data Analysis Trends
    		371(1)
    Modern Data Roles
    		372(1)
    Data Platform as a Service
    		373(1)
    Azure Data Services
    		374(1)
    Azure SQL Database
    		375(24)
    Hands-on with Azure SQL Database
    		376(8)
    Azure SQL Managed Instance
    		384(1)
    Elastic Pools
    		385(1)
    Hands-on with Elastic Pools
    		386(2)
    Hands-on Tuning and Monitoring Azure SQL Databases
    		388(10)
    Next Steps: Self-Guided Assignment
    		398(1)
    Azure Cosmos DB
    		399(10)
    Use Cases for Azure Cosmos DB
    		399(1)
    Hands-on: Deploying Azure Cosmos DB
    		400(3)
    Hands-on: Using Azure Cosmos DB to Store Bot Conversation History
    		403(6)
    Summary
    		409(2)
    Part VI Azure Services for Application Developers
    		411(1)
    Chapter 18 Migrating On-Premises Databases to Azure
    		413(1)
    Data Migration Assistant (DMA)
    		414(1)
    Hands-on: Setting up a Lab
    		414(1)
    Hands-on: Using the Data Migration Assistant for Assessment
    		415(3)
    Hands-on: Reading the Assessment Reports from the Data Migration Assistant
    		418(1)
    Hands-on: Azure Migrate
    		418(3)
    Hands-on: Uploading an Assessment Report to Azure Migrate
    		421(1)
    Hands-on: Migrate Database Using Data Migration Assistant
    		421(5)
    Azure Database Migration Service (DMS)
    		426(6)
    Hands-on: Deploying Azure Database Migration Service
    		427(1)
    Hands-on: Using Azure Database Migration Service
    		428(4)
    Summary
    		432(1)
    Chapter 19 Data Engineering and the Modern Data Estate
    		433(28)
    Terminology
    		433(2)
    Data Estate
    		434(1)
    Modern Data Warehouse: ELT vs. ETL
    		434(1)
    Modern Storage and Big Data
    		435(1)
    Modern Data Platform Strategies
    		435(1)
    Azure Data Factory (ADF)
    		436(20)
    Hands-on: Installing Azure Data Factory
    		436(1)
    Hands-on: Exploring Azure Data Factory
    		437(11)
    Hands-on: Creating a Copy Data Pipeline
    		448(2)
    Saving Your Work
    		450(1)
    Hands-on: Multiple Activities in a Pipeline
    		451(5)
    Accessing On-Premises Data Sources
    		456(3)
    The Architecture of the Self-Hosted Integration Runtime
    		456(1)
    Installing and Configuring the Self-Hosted Integration Runtime
    		457(2)
    Summary
    		459(2)
    Part VII Intelligent Cloud, Machine Learning, and Artificial Intelligence
    		461(2)
    Chapter 20 Developing and Deploying Azure-based Applications
    		463(1)
    Introduction
    		463(1)
    Trends in Cloud-based Application Development
    		464(1)
    Platform as a Service (PaaS)
    		464(8)
    Slots on Azure Web Apps
    		465(1)
    Hands-on with Slots on Azure Web Apps
    		465(7)
    Containers
    		472(15)
    Containers in Azure
    		474(1)
    Hands-on with Docker Images and the Azure Container Registry
    		474(4)
    Hands-on with Azure Kubernetes Service (AKS)
    		478(9)
    Troubleshooting and Monitoring AKS
    		487(5)
    Hands-on Monitoring and Troubleshooting AKS
    		487(5)
    Summary
    		492(1)
    Chapter 21 Continuous Integration/Continuous Delivery with Azure DevOps
    		493(28)
    What Is Azure DevOps?
    		494(1)
    Why Azure DevOps
    		494(2)
    Predictability and Repeatability
    		495(1)
    Agile Deployment and Continuous Improvement
    		495(1)
    Planning, Collaboration, and Workflow
    		495(1)
    Provisioning Azure DevOps
    		496(1)
    Azure Repos
    		497(14)
    Hands-on with Azure Repos
    		498(4)
    Repository Operations
    		502(7)
    Hands-on with Azure Repos: Adding an Existing Project to Azure Repos
    		509(2)
    Azure Pipelines
    		511(7)
    Key Concepts
    		512(1)
    Hands-on with Azure Pipelines: CI/CD
    		513(5)
    Summary
    		518(3)
    Index 521
    Julian Soh is a cloud solutions architect with Microsoft, focusing in the areas of artificial intelligence, cognitive services, and advanced analytics. Prior to his current role, Julian worked extensively in major public cloud initiatives, such as SaaS (Microsoft Office 365), IaaS/PaaS (Microsoft Azure), and hybrid private-public cloud implementations.

    Marshall Copeland is a security architect focused on kill chain defenses in public cloud deployments using cloud native and third-party cyber solutions. His work focuses on security in hybrid cloud deployments, secure DevOps, and security partner cloud integrations that enhance blue team hunting efficiencies.

    Anthony Puca is a director of azure apps and infrastructure in Microsofts United States Federal Government division. Anthony has been consulting with US federal government departments and agencies on private, public, and hybrid cloud technologies for the last three years.

    Micheleen Harris is a technical program manager at Microsoft focusing on AI and machine learning. She has been a developer for over ten years and has a data science focus. She has designed and delivered many courses and given talks at large conferences such as Microsoft /build and ODSC West.