Book Image

Azure for Architects. - Second Edition

By : Ritesh Modi
Book Image

Azure for Architects. - Second Edition

By: Ritesh Modi

Overview of this book

Over the years, Azure cloud services have grown quickly, and the number of organizations adopting Azure for their cloud services is also gradually increasing. Leading industry giants are finding that Azure fulfills their extensive cloud requirements. Azure for Architects – Second Edition starts with an extensive introduction to major designing and architectural aspects available with Azure. These design patterns focus on different aspects of the cloud, such as high availability, security, and scalability. Gradually, we move on to other aspects, such as ARM template modular design and deployments. This is the age of microservices and serverless is the preferred implementation mechanism for them. This book covers the entire serverless stack available in Azure including Azure Event Grid, Azure Functions, and Azure Logic Apps. New and advance features like durable functions are discussed at length. A complete integration solution using these serverless technologies is also part of the book. A complete chapter discusses all possible options related to containers in Azure including Azure Kubernetes services, Azure Container Instances and Registry, and Web App for Containers. Data management and integration is an integral part of this book that discusses options for implementing OLTP solutions using Azure SQL, Big Data solutions using Azure Data factory and Data Lake Storage, eventing solutions using stream analytics, and Event Hubs. This book will provide insights into Azure governance features such as tagging, RBAC, cost management, and policies. By the end of this book, you will be able to develop a full-?edged Azure cloud solution that is Enterprise class and future-ready.

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Table of Contents (17 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Getting Started
Getting Started
Cloud computing
Understanding Azure
Azure as an intelligent cloud
Azure Resource Manager
Virtualization
Containers
Docker
Interacting with the intelligent cloud
Summary
2
Azure Solution Availability and Scalability
Azure Solution Availability and Scalability
High availability
Azure high availability
Architectural considerations for high availability
Scalability
Upgrades and maintenance
Summary
3
Security and Monitoring
Security and Monitoring
Security
Monitoring
Azure monitoring
Application Insights
Log Analytics
Executing runbooks on Alerts
Integrating PowerBI
Summary
4
Cross-Subscription Deployments Using ARM Templates
Cross-Subscription Deployments Using ARM Templates
ARM templates
Deploying resource groups with ARM templates
Deploying resources across subscriptions and resource groups
Deploying cross-subscription and resource-group deployments using linked templates
Summary
5
ARM Templates - Modular Design and Implementation
ARM Templates - Modular Design and Implementation
Problems with the single template
Understanding the Single Responsibility Principle
Linked templates
Nested templates
Free-flow configurations
Known configurations
Summary
6
Designing and Implementing Serverless Solutions
Designing and Implementing Serverless Solutions
Serverless
Azure Functions advantages
FaaS
Creating your first Azure Functions
Creating an event-driven Function
Function proxies
Understanding workflows
Durable Functions
Creating a connected architecture with Functions
Summary
7
Azure Integration Solutions
Azure Integration Solutions
Azure Event Grid
Azure Logic Apps
Creating an end-to-end solution using Serverless technologies
Summary
8
Cost Management
Cost Management
Understanding billing
Invoicing
Enterprise agreement customers
Usage and quotas
Resource providers
The usage and billing APIs
Azure pricing models
The Azure pricing calculator
Best practices
Summary
9
Designing Policies, Locks, and Tags
Designing Policies, Locks, and Tags
Azure tags
Azure policies
Azure locks
Azure RBAC
An example of implementing Azure governance features
Summary
10
Azure Solutions Using Azure Container Services
Azure Solutions Using Azure Container Services
Azure Container Registry
Azure Container Instances
Azure Kubernetes Service
App Service containers
Comparing all container options
Summary
11
Azure DevOps
Azure DevOps
DevOps
DevOps practices
Azure DevOps
Preparing for DevOps
DevOps for PaaS solutions
DevOps for virtual machine (IaaS)-based solutions
DevOps for container-based (IaaS) solutions
Azure DevOps and Jenkins
Azure Automation
Azure for DevOps
Summary
12
Azure OLTP Solutions Using Azure SQL Sharding, Pools, and Hybrid
Azure OLTP Solutions Using Azure SQL Sharding, Pools, and Hybrid
Azure cloud services
OLTP applications
Relational databases
Deployment models
Azure SQL Database
Single instance
Elastic pools
Managed Instance
SQL database pricing
Summary
13
Azure Big Data Solutions Using Azure Data Lake Storage and Data Factory
Azure Big Data Solutions Using Azure Data Lake Storage and Data Factory
Data integration
ETL
A primer on Data Factory
A primer on Data Lake Storage
Migrating data from Azure Storage to Data Lake Gen2 Storage
Summary
14
Azure Stream Analytics and Event Hubs
Azure Stream Analytics and Event Hubs
A primer on Event Hubs
Architecture of Event Hubs
A primer on Stream Analytics
A sample application using Event Hubs and Stream Analytics
Summary
15
Designing IoT Solutions
Designing IoT Solutions
IoT
IoT architecture
Azure IoT
IoT Hubs
High availability
Summary
16
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Elastic pools

An elastic pool is a logical container that can host multiple databases in a single logical server. The SKUs available for elastic pools are as follows:

  • Basic
  • Standard
  • Premium

The following screenshot shows the maximum amount of DTUs that can be provisioned for each SKU:

All the features discussed for Azure SQL single instances are available to elastic pools as well; however, horizontal scalability is an additional feature it provides with the help of shading. Shading refers to the vertical or horizontal partitioning of data and the storing of it into separate databases. It is also possible to have auto-scaling of individual databases in an elastic pool by consuming more DTUs than are actually allocated to that database.

Elastic pools also provide another advantage in terms of cost. We will see in a later section that Azure SQL is priced using the concept of DTUs...

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