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Learn Azure in a Month of Lunches, Second Edition
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You can be incredibly productive with Azure without mastering every feature, function, and service. Learn Azure in a Month of Lunches, Second Edition gets you up and running quickly, teaching you the most important concepts and tasks in 21 practical bite-sized lessons. As you explore the examples, exercises, and labs, you'll pick up valuable skills immediately and take your first steps to Azure mastery! This fully-revised new edition covers core changes to the Azure UI, new Azure features, Azure containers, and the upgraded Azure Kubernetes Service.Iain Foulds does a great job of taking something as large as Azure and breaks it apart into smaller parts that are easy to understand and learn.
Table of Contents takes you straight to the bookdetailed table of contents
1 Before you begin
1.1 Is this book for you?
1.2 How to use this book
1.2.1 The main chapters
1.2.2 Try it now
1.2.3 Hands-on labs
1.2.4 Source code and supplementary materials
1.3 Creating your lab environment
1.3.1 Creating a free Azure account
1.3.2 Bonus lab exercise: Create a free GitHub account
1.4 A little helping hand
1.5 Understanding the Azure platform
1.5.1 Virtualization in Azure
1.5.2 Management tools
Part 1: Azure core services
2 Creating a virtual machine
2.1 Virtual machine configuration basics
2.1.1 Regions and availability options
2.1.2 VM images
2.1.3 VM sizes
2.1.4 Azure storage
2.1.5 Virtual networking
2.2 Create an SSH key pair for authentication
2.3 Creating a VM from your web browser
2.4 Connecting to the VM, and installing the web server
2.4.1 Connecting to the VM with SSH
2.4.2 Installing the web server
2.5 Allowing web traffic to reach the VM
2.5.1 Creating a rule to allow web traffic
2.5.2 Viewing the web server in action
2.6 Lab: Creating a Windows VM
2.7 Cleaning up resources
2.8 Houston, we have a problem
3 Azure Web Apps
3.1 Azure Web Apps overview and concepts
3.1.1 Supported languages and environments
3.1.2 Staging different versions with deployment slots
3.1.3 App Service plans
3.2 Creating a web app
3.2.1 Creating a basic web app
3.2.2 Deploying a sample HTML site
3.3 Managing web apps
3.3.1 Viewing diagnostic logs
3.4 Lab: Creating and using a deployment slot
4 Introduction to Azure Storage
4.1 Managed Disks
4.1.1 OS disks
4.1.2 Temporary disks and data disks
4.1.3 Disk-caching options
4.2 Adding disks to a VM
4.3 Azure Storage
4.3.1 Table storage
4.3.2 Queue storage
4.3.3 Storage availability and redundancy
4.4 Lab: Exploring Azure Storage
4.4.1 VM-focused
4.4.2 Developer-focused
5 Azure Networking basics
5.1 Virtual network components
5.1.1 Creating and using virtual networks and subnets
5.1.2 Virtual network interface cards
5.1.3 Public IP address and DNS resolution
5.2 Securing and controlling traffic with network security groups
5.2.1 Creating a network security group
5.2.2 Associating a network security group with a subnet
5.2.3 Creating network security group filtering rules
5.3 Building a sample web application with secure traffic
5.3.1 Creating remote access network connections
5.3.2 Creating VMs
5.3.3 Using the SSH agent to connect to your VMs
5.4 Lab: Installing and testing the LAMP web server
Part 2: High availability and scale
6 Azure Resource Manager
6.1 The Azure Resource Manager approach
6.1.1 Designing around the application lifecycle
6.1.2 Securing and controlling resources
6.1.3 Protecting resources with locks
6.1.4 Managing and grouping resources with tags
6.2 Azure Resource Manager templates
6.2.1 Creating and using templates
6.2.2 Creating multiples of a resource type
6.2.3 Tools to build your own templates
6.2.4 Storing and using templates
6.3 Lab: Deploying Azure resources from a template
7 High availability and redundancy
7.1 The need for redundancy
7.2 Infrastructure redundancy with availability zones
7.2.1 Creating network resources across an availability zone
7.2.2 Creating VMs in an availability zone
7.3 VM redundancy with availability sets
7.3.1 Fault domains
7.3.2 Update domains
7.3.3 Distributing VMs across an availability set
7.3.4 View distribution of VMs across an availability set
7.4 Lab: Deploying highly available VMs from a template
8 Load-balancing applications
8.1 Azure load-balancer components
8.1.1 Creating a frontend IP pool
8.1.2 Creating and configuring health probes
8.1.3 Defining traffic distribution with load-balancer rules
8.1.4 Routing direct traffic with Network Address Translation rules
8.1.5 Assigning groups of VMs to backend pools
8.2 Creating and configuring VMs with the load balancer
8.2.1 Connecting to VMs and seeing the load balancer in action
8.3 Lab: Viewing templates of existing deployments
9 Applications that scale
9.1 Why build scalable, reliable applications?
9.1.1 Scaling VMs vertically
9.1.2 Scaling web apps vertically
9.1.3 Scaling resources horizontally
9.2 Virtual machine scale sets
9.2.1 Creating a virtual machine scale set
9.2.2 Creating autoscale rules
9.3 Scaling a web app
9.4 Lab: Installing applications on your scale set or web app
9.4.1 Virtual machine scale sets
9.4.2 Web apps
10 Global databases with Cosmos DB
10.1 What is Cosmos DB?
10.1.1 Structured (SQL) databases
10.1.2 Unstructured (NoSQL) databases
10.1.3 Scaling databases
10.1.4 Bringing it all together with Cosmos DB
10.2 Creating a Cosmos DB account and database
10.2.1 Creating and populating a Cosmos DB database
10.2.2 Adding global redundancy to a Cosmos DB database
10.3 Accessing globally distributed data
10.4 Lab: Deploying a web app that uses Cosmos DB
11 Managing network traffic and routing
11.1 What is Azure DNS?
11.1.1 Delegating a real domain to Azure DNS
11.2 Global routing and resolution with Traffic Manager
11.2.1 Creating Traffic Manager profiles
11.2.2 Globally distributing traffic to the closest instance
11.3 Lab: Deploying web apps to see Traffic Manager in action
12 Monitoring and troubleshooting
12.1 VM boot diagnostics
12.2 Performance metrics and alerts
12.2.1 Viewing performance metrics with the VM diagnostics extension
12.2.2 Creating alerts for performance conditions
12.3 Azure Network Watcher
12.3.1 Verifying IP flows
12.3.2 Viewing effective NSG rules
12.3.3 Capturing network packets
12.4 Lab: Creating performance alerts
Part 3: Secure by default
13 Backup, recovery, and replication
13.1 Azure Backup
13.1.1 Policies and retention
13.1.2 Backup schedules
13.1.3 Restoring a VM
13.2 Azure Site Recovery
13.3 Lab: Configuring a VM for Site Recovery
14 Data encryption
14.1 What is data encryption?
14.2 Encryption at rest
14.3 Storage Service Encryption
14.4 VM encryption
14.4.1 Storing encryption keys in Azure Key Vault
14.4.2 Encrypting an Azure VM
14.5 Lab: Encrypting a VM
15 Securing information with Azure Key Vault
15.1 Securing information in the cloud
15.1.1 Software vaults and hardware security modules
15.1.2 Creating a key vault and secret
15.2 Managed identities for Azure resources
15.2.1 Obtaining a secret from within a VM with managed identity
15.3 Creating and injecting certificates
15.4 Lab: Configuring a secure web server
16 Azure Security Center and updates
16.1 Azure Security Center
16.2 Just-in-time access
16.3 Azure Update Management
16.3.1 Combined Azure management services
16.3.2 Reviewing and applying updates
16.4 Lab: Enabling JIT and updates for a Windows VM
Part 4: The cool stuff
17 Machine learning and artificial intelligence
17.1 Overview and relationship of AI and ML
17.1.1 Artificial intelligence
17.1.2 Machine learning
17.1.3 Bringing AI and ML together
17.1.4 Azure ML tools for data scientists
17.2 Azure Cognitive Services
17.3 Building an intelligent bot to help with pizza orders
17.3.1 Creating an Azure web app bot
17.3.2 Language and understanding intent with LUIS
17.3.3 Building and running a web app bot with LUIS
17.4 Lab: Adding channels for bot communication
18 Azure Automation
18.1 What is Azure Automation?
18.1.1 Creating an Azure Automation account
18.1.2 Azure Automation assets and runbooks
18.2 Azure Automation sample runbook
18.2.1 Running and viewing output from a sample runbook
18.3 PowerShell Desired State Configuration (DSC)
18.3.1 Defining and using PowerShell DSC and an Azure Automation pull server
18.4 Lab: Using DSC with Linux
19 Azure containers
19.1 What are containers?
19.1.1 The microservices approach to applications
19.2 Azure Container Instances
19.2.1 Creating a single container instance
19.3 Azure Kubernetes Service
19.3.1 Creating a cluster with Azure Kubernetes Services
19.3.2 Running a basic website in Kubernetes
19.4 Lab: Scaling your Kubernetes deployments
20 Azure and the Internet of Things
20.1 What is the Internet of Things?
20.2 Centrally managing devices with Azure IoT Hub
20.2.1 Creating a simulated Raspberry Pi device
20.3 Streaming Azure IoT hub data into Azure web apps
20.3.1 Azure IoT component review
20.4 Lab: Exploring use cases for IoT
21 Serverless computing
21.1 What is serverless computing?
21.2 Azure messaging platforms
21.2.1 Azure Event Grid
21.2.2 Azure Event Hubs and Service Bus
21.2.3 Creating a service bus and integrating it with an IoT hub
21.3 Creating an Azure logic app
21.4 Creating an Azure function app to analyze IoT device data
21.5 Don’t stop learning
21.5.1 Additional learning materials
21.5.2 GitHub resources
21.5.3 One final thought
About the Technology
With hundreds of features and prebuilt services, the Microsoft Azure cloud platform is vast and powerful. To get started, you need a trustworthy guide. In this hands-on book, Microsoft engineer and Azure trainer Iain Foulds focuses on the core skills you need to create and maintain cloud-based applications.About the book
Learn Azure in a Month of Lunches, Second Edition teaches you the most important skills you’ll need to write, deploy, and run cloud-based applications in Azure. In this fully updated and new edition, you’ll get hands-on practice with the basics, including setting up cloud-based virtual machines, deploying web servers, and using hosted data stores. As you work through the book’s 21 carefully planned lessons, you’ll explore big-picture concerns like security, scaling, and automation. You’ll even dabble in Azure’s prebuilt services for containers, Internet of Things, and serverless computing and enjoy expanded coverage of the Azure Kubernetes Service.What's inside
- Understand Azure beyond point-and-click processes
- Getting started, from your first login
- Writing and deploying web servers
- Securing your applications and data
- Automating your environment
- Azure services for machine learning, containers, and more
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