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.

Preface

Who this book is for

What this book covers

To get the most out of this book

Free Chapter

Getting Started

Getting Started

Cloud computing

Understanding Azure

Azure as an intelligent cloud

Azure Resource Manager

Interacting with the intelligent cloud

Azure Solution Availability and Scalability

Azure Solution Availability and Scalability

High availability

Azure high availability

Architectural considerations for high availability

Upgrades and maintenance

Security and Monitoring

Security and Monitoring

Azure monitoring

Application Insights

Executing runbooks on Alerts

Integrating PowerBI

Cross-Subscription Deployments Using ARM Templates

Cross-Subscription Deployments Using 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

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

Designing and Implementing Serverless Solutions

Designing and Implementing Serverless Solutions

Azure Functions advantages

Creating your first Azure Functions

Creating an event-driven Function

Function proxies

Understanding workflows

Durable Functions

Creating a connected architecture with Functions

Azure Integration Solutions

Azure Integration Solutions

Azure Event Grid

Azure Logic Apps

Creating an end-to-end solution using Serverless technologies

Cost Management

Cost Management

Understanding billing

Enterprise agreement customers

Usage and quotas

Resource providers

The usage and billing APIs

Azure pricing models

The Azure pricing calculator

Designing Policies, Locks, and Tags

Designing Policies, Locks, and Tags

An example of implementing Azure governance features

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

Azure DevOps

DevOps practices

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

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

Managed Instance

SQL database pricing

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

A primer on Data Factory

A primer on Data Lake Storage

Migrating data from Azure Storage to Data Lake Gen2 Storage

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

Designing IoT Solutions

Designing IoT Solutions

IoT architecture

High availability

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Azure DevOps and Jenkins

Azure DevOps is an open platform orchestrator that integrates with other orchestrator tools seamlessly. It provides all the necessary infrastructure and features that integrate well with Jenkins, as well. Organizations with well-established CI/CD pipelines built on Jenkins can reuse them with the advanced but simple features of Azure DevOps to orchestrate them.

Jenkins can be used as a repository and can execute CI/CD pipelines in Azure DevOps, while it's also possible to have a repo in Azure DevOps and execute CI/CD pipelines in Jenkins.

The Jenkins configuration can be added in Azure DevOps as service hooks, and whenever any code change is committed to the Azure DevOps repository, it can trigger pipelines in Jenkins. The next screenshot shows configuration of Jenkins from the Azure DevOps service hook configuration section:

There are multiple triggers...