Part I Cloud Computing: Theory



Chapter 1 Understanding Cloud Computing

1.1 Overview of Cloud Computing

1.2 Background of the emergence of the cloud

1.3 On-Premises and Cloud

1.4 How Cloud Computing Is Used

1.5 Advantages of Cloud Computing

1.6 Effects of Cloud Computing Adoption

1.7 Cloud Computing Related Technologies

1.8 Disadvantages of Cloud Computing



Chapter 2 Cloud Computing Services

2.1 Characteristics of Cloud Computing

2.2 Cloud Service Model

2.3 Cloud Deployment Model



Chapter 3 Cloud Computing Technology

3.1 Cloud Computing Technology Composition

3.2 Understanding Virtualization Technology

3.3 Server Virtualization

3.4 Network Virtualization

3.5 Storage Technology

3.6 Cloud Service Non-Stop Technology



Chapter 4 Cloud Architecture

4.1 Understanding Cloud Architecture

4.2 Resource Pooling

4.3 Load Balancing

4.4 Cloud Bursting

4.5 Non-stop service redeployment



Chapter 5 The Future of Cloud Computing

5.1 Understanding Edge Computing

5.2 Structure of Edge Computing

5.3 Security in Edge Computing

5.4 Fog Computing



Part II Cloud Computing: Practical



Chapter 6: Implementing a Cloud-Based Website

6.1 Understanding Cloud Computing Services

6.2 Implementing Cloud-Based Web Services

6.3 Connecting to a Virtual Machine

6.4 Preparing an Online Shopping Mall

6.5 Creating a Key Vault

6.6 Connecting to a SQL Database and Creating a Schema

6.7 Creating a Web Server

6.8 Managing Product Images with Blob Storage

6.9 Load Balancing

6.10 Autoscaling



Chapter 7 Cloud-Based Data Analytics

7.1 Create an Azure ML workspace

7.2 Performing Machine Learning Using Azure ML Studio

7.3 Setting up the Azure ML Compute Environment

7.4 Data Preprocessing

7.5 Data Classification

7.6 ML Algorithm Selection Step

7.7 Validating the Training Model

7.8 Data Training

7.9 Evaluating the performance of the trained model

7.10 Evaluating the Training Model

7.11 Evaluation of Multiple Training Models

7.12 Prediction based on training model

7.13 Prediction Evaluation Based on Training Model



Chapter 8: Implementing a Weather Forecast Transmission Service

8.1 Creating a Function App

8.2 Using the Weather Information API

8.3 Integrating the OpenWeather API into a Function App

8.3 Integrating the OpenWeather API into a Function App