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 Services Overview
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 CenterNetworking 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 networkingDesigning and implementing Virtual Networks (vNets)
Implementing Site-to-Site VPN Implementing ExpressRoute
ER Direct
Global Reach
Implementing Network Security Groups
Im
About the Author: 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 Microsoft's 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.
