Planning, Deploying, and Managing the Cloud

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
		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
			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
			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
	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
	Chapter 8: Tools and Training to Up-Skill Existing IT Teams
		Available Training
		Cloud Engineer Toolkit
		Azure Storage Explorer
		Azure Resource Manager (ARM) and HashiCorp Terraform
		Version Control
		Summary
Part III: Using Azure for Infrastructure as a Service (IaaS)
	Chapter 9: Implementing Azure Networking
		Internet Connectivity
		Azure VPN
		ExpressRoute
		Layer 2 ExpressRoute
		Layer 3 ExpressRoute
		ExpressRoute Premium
		ExpressRoute Direct
		ExpressRoute Global Reach
			Implementing ExpressRoute
			Azure Virtual WAN
		Implementing Network Security Groups
		Implementing Security and Monitoring for networks
		Network Watcher
			Network Performance Monitor
		Summary
	Chapter 10: Virtual Machines
		Creating and Managing Virtual Machines
			Operating Systems (Windows, Linux)
			Shared Image Gallery
			Uploading Custom Images
			Virtual Machine Disks
			Image Builder
			Monitoring the Health of Virtual Machines
			Securing Virtual Machines
			Troubleshooting
		Improving VM Availability
			Availability Zones
			Availability Sets
			Disaster Recovery
			Azure Site Recovery
				Scale Sets
				Dedicated Hosts
				Proximity Placement Groups
				Spot Virtual Machines
		Summary
	Chapter 11: Infrastructure as Code (IaC)
		Overview of IaC in Microsoft Azure
		Infrastructure as Code Example
			ARM Templates
			HashiCorp Terraform on Azure
		Deploy VNets with Code
		Deploy VMs with Code
		IaC Enhancement Considerations
		Troubleshooting IaC
			Azure Blueprints
		Summary
Part IV: Adopting Platform as a Service (PaaS)
	Chapter 12: Azure Web Apps
		What Are Web Apps?
			Hands-on: Deploying a Web App
			Self-Guided Exercise
		Content Management Systems on Web Apps
		Using Azure Web Apps
			Hands-on: Publishing to a Web App
			Hands-on: Adding a Custom Domain to a Web App
			Hands-on: Monitoring a Web App
			Hands-on: Self-Guided Exercises
		Summary
	Chapter 13: Network Platform as a Service
		Azure DDoS Protection
		Web Application Firewall
		Application Gateway
		Load Balancers
		Azure Front Door Service
		Azure Firewall
		Summary
	Chapter 14: Azure Storage
		The Difference Between Azure Storage and Azure Databases
		Cloud Storage and Storage Accounts
		Azure Blob Storage
			Hands-on: Deploying Azure Blob Storage
			Hands-on: Using Azure Blob Storage
				Self-Guided Exercises
			Next Steps: Azure Blob Storage
		Azure Data Lake Store (ADLS)
		Azure Tables
			Anatomy of Azure Tables
			Hands-on: Using Azure Tables
				Self-Guided Exercises
			Next Steps: Azure Tables
		Azure Files
			Hands-on: Using Azure Files
			Next Steps: Azure Files
		Azure Queues
			Hands-on: Using Azure Queues
			Next Steps: Azure Queues
		Summary
Part V: Azure Data Services and Big Data
	Chapter 15: Azure Cognitive (COG) Services
		Azure Cognitive Services
		Quick Hands-on Introduction
		Hands-on Exercise
			Scenario
			Final Product
			Exercise
		Other Real-World Uses
		Bots
		QnA Maker
		Hands-on Exercise Part 1: QnA Maker
		Hands-on Exercise Part 2: Deploying Bots to a Website
		Summary
	Chapter 16: Machine Learning and Deep Learning
		Introduction to Machine Learning and Deep Learning
			Data Discussion
			Traditional ML
			Neural Networks
			Transfer Learning
		The Data Science Process
			Prerequisites for Becoming a Successful Data Scientist
			Overview of the Data Science Virtual Machine
			A Jupyter Notebook Overview
			Hands-on with the Data Science Virtual Machine
		Overview of Azure Machine Learning
			Hands-on with Azure Machine Learning: Training a Model
			Hands-on with Azure Machine Learning: Deploying a Model
			Use Case: Image Classification with a Deep Neural Network and Azure Machine Learning
			Hands-on with Azure Machine Learning and PyTorch
		IoT Devices and the Intelligent Edge
		Overview of Spark and Databricks
			Auto ML with Azure Databricks and Azure Machine Learning
			Hands-on with Azure Databricks and Auto ML
			Use Case: Azure Databricks for Data Scientists
		Summary
	Chapter 17: Azure Data Services
		Data Trends
			Data Types and Volume
			Data Analysis Trends
			Modern Data Roles
			Data Platform as a Service
		Azure Data Services
		Azure SQL Database
			Hands-on with Azure SQL Database
			Azure SQL Managed Instance
			Elastic Pools
			Hands-on with Elastic Pools
			Hands-on Tuning and Monitoring Azure SQL Databases
				Setting up the Test Environment
				Performance Monitoring and Automatic Tuning
				Load testing Azure SQL Database Server
				Analyzing Performance
			Next Steps: Self-Guided Assignment
		Azure Cosmos DB
			Use Cases for Azure Cosmos DB
				Internet of Things (IoT)
				Retail
				Web and Social
			Hands-on: Deploying Azure Cosmos DB
			Hands-on: Using Azure Cosmos DB to Store Bot Conversation History
		Summary
Part VI: Azure Services for Application Developers
	Chapter 18: Migrating On-Premises Databases to Azure
		Data Migration Assistant (DMA)
			Hands-on: Setting up a Lab
			Hands-on: Using the Data Migration Assistant for Assessment
			Hands-on: Reading the Assessment Reports from the Data Migration Assistant
			Hands-on: Azure Migrate
			Hands-on: Uploading an Assessment Report to Azure Migrate
			Hands-on: Migrate Database Using Data Migration Assistant
		Azure Database Migration Service (DMS)
			Hands-on: Deploying Azure Database Migration Service
			Hands-on: Using Azure Database Migration Service
		Summary
	Chapter 19: Data Engineering and the Modern Data Estate
		Terminology
			Data Estate
			Modern Data Warehouse: ELT vs. ETL
			Modern Storage and Big Data
		Modern Data Platform Strategies
		Azure Data Factory (ADF)
			Hands-on: Installing Azure Data Factory
			Hands-on: Exploring Azure Data Factory
				Triggers
				Data Pipeline or Data Flow
				Datasets
				Linked Services
				Datasets and Link Services
				Cloning
				Next Steps: Self-Guided Assignment
			Hands-on: Creating a Copy Data Pipeline
			Saving Your Work
			Hands-on: Multiple Activities in a Pipeline
		Accessing On-Premises Data Sources
			The Architecture of the Self-Hosted Integration Runtime
			Installing and Configuring the Self-Hosted Integration Runtime
		Summary
Part VII: Intelligent Cloud, Machine Learning, and Artificial Intelligence
	Chapter 20: Developing and  Deploying Azure-based Applications
		Introduction
		Trends in Cloud-based Application Development
		Platform as a Service (PaaS)
			Slots on Azure Web Apps
			Hands-on with Slots on Azure Web Apps
		Containers
			Containers in Azure
			Hands-on with Docker Images and the Azure Container Registry
			Hands-on with Azure Kubernetes Service (AKS)
		Troubleshooting and Monitoring AKS
			Hands-on Monitoring and Troubleshooting AKS
		Summary
	Chapter 21: Continuous Integration/Continuous Delivery with Azure DevOps
		What Is Azure DevOps?
		Why Azure DevOps
			Predictability and Repeatability
			Agile Deployment and Continuous Improvement
			Planning, Collaboration, and Workflow
		Provisioning Azure DevOps
		Azure Repos
			Hands-on with Azure Repos
				Importing a Git Repo
			Repository Operations
				Azure Repo Goal
				Commits
				Branches
			Hands-on with Azure Repos: Adding an Existing Project to Azure Repos
		Azure Pipelines
			Key Concepts
			Hands-on with Azure Pipelines: CI/CD
		Summary
Index