Microsoft Azure: Planning, Deploying, and Managing the Cloud (Paperback, 2)

· 제목 : Microsoft Azure: Planning, Deploying, and Managing the Cloud (Paperback, 2) 
· 분류 : 외국도서 > 컴퓨터 > 프로그래밍 > 마이크로소프트 프로그래밍
· ISBN : 9781484259573
· 쪽수 : 533쪽
· 출판일 : 2020-07-25

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 (PaaS) services

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. Overview of Azure services for application developers

Azure DevOps and GitHub

Azure IaaS as code

Visual Studio

Containers - AKS

5. Overview of Azure Data, AI, and ML Services

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 hybrid networking

Designing and implementing Virtual Networks (vNets)

Implementing Site-to-Site VPN

Implementing ExpressRoute

ER Direct

Global Reach

Implementing Network Security Groups

Implementing Security and Monitoring for networks

Network Watcher

Network Perforamance Monitor

Autoscaling

10. Virtual Machines

Creating and managing Virtual Machines

Operating Systems (Windows, Linux)

Gallery Image

Customer Image

VM Disks

Monitoring and health of VM

Securing VM

Automation

Troubleshooting

Improving VM availability

Availability Groups

Disaster Recovery

Azure Site Recovery (ASR)

11. Infrastructure-as-code

Your first Infrastructure-as-code exercise

Deploying VMs with code

Deploying virtual networks with code

Addressing dependencies

Troubleshooting your code

Source control

 

PART IV  Adopting Platform-as-a-Service (PaaS)

12. WebApps

Deploying a WebApp

Publishing to a WebApp

Monitoring and securing WebApps

Azure Security Center for WebApps

Integrating authentication for WebApps

Leveraging Azure Active Directory

B2B and B2C

Multi-factor authentication

Troubleshooting

Use Case: Azure Drupal+MySQL PaaS

13  Network PaaS

Web Application Firewall (WAF)

Load Balancer

Azure DNS

Azure Traffic Manager

Azure Front Door Service

Azure Private Link

Content Delivery Network (CDN)

Azure DDoS Protection

Azure Firewall

Use Case: Implement Azure Front Door Service

14 Azure Storage

Azure Blob Storage

Azure Queues

Azure Files

Use Case: Using Azure Storage Explorer

 

PART V  Azure Data Services and Big Data

15. Azure Database Services

Azure SQL Database

Azure SQL Database

Azure SQL Database Serverless

Azure SQL Database Managed Instance (MI)

Azure SQL Data Warehouse

Azure CosmosDB

Azure Database for MySQL

Azure Tables

Azure Data Lake Services (ADLS)

Determining the right Data Services to use

16 Migrating on-premises databases to Azure

Database Migration Assistant (DMA)

Azure Database Migration Service

17 Data Engineering

Data Engineering and Estate

Extract, transform, and loading data (ETL vs ELT)

Data sharing with Azure Data Share

Azure Data Factory

Pipelines, activities, and datasets

Orchestrating Data Copies

Azure Data Flow (Preview)

Use Case: Copying, combining, and enriching data

PART VI  Azure services for application developers

18. Developing Azure-based applications

Considerations for Cloud-first development practices

Use case: Build and publish an ASP.Net WebApp

Containers and AKS

Use case: Build a .Net Core WebApp in Docker

Monitoring application health and performance in Azure

Designing IoT solutions

19. Azure DevOps

Introducing Azure DevOps

Azure Repos

Azure Pipelines

Azure Boards

Azure Test Plans

Azure Artifacts

GitHub

Use case: Development lifecycle demo using Azure Repo/GitHub, Pipelines, and CI/CD

 

PART VII  Intelligent Cloud - Machine Learning and Artificial Intelligence

20. Azure Cognitive Services (COGS)

Introducing COGS

QnAmaker.ai

Use Case: ChatBots

21. Machine Learning and Deep Learning

Azure Machine Learning overview

Databricks/Spark overview

Use case: Azure Databricks for data scientists

Data preparation

ML Modeling using Azure Auto ML

Build DNN for classification

Parallel and distributed training

IoT and Edge IoT devices

Use case: Real world examples