Book Image

Azure for Decision Makers

By : Jack Lee, Jason Milgram, David Rendón
2 (1)
Book Image

Azure for Decision Makers

2 (1)
By: Jack Lee, Jason Milgram, David Rendón

Overview of this book

Azure for Decision Makers provides a comprehensive overview of the latest updates in cloud security, hybrid cloud and multi-cloud solutions, and cloud migration in Azure. This book is a must-have introduction to the Microsoft Azure cloud platform, demonstrating the substantial scope of digital transformation and innovation that can be achieved with Azure's capabilities. The first set of chapters will get you up to speed with Microsoft Azure's evolution before showing you how to integrate it into your existing IT infrastructure. Next, you’ll gain practical insights into application migration and modernization, focusing mainly on migration planning, implementation, and best practices. Throughout the book, you’ll get the information you need to spearhead a smooth migration and modernization process, detailing Azure infrastructure as a service (IaaS) deployment, infrastructure management, and key application architectures. The concluding chapters will help you to identify and incorporate best practices for cost optimization and management, Azure DevOps, and Azure automation. By the end of this book, you’ll have learned how to lead end-to-end Azure operations for your organization and effectively cost-optimize your processes ─ from the planning and cloud migration stage through to troubleshooting.
Table of Contents (10 chapters)
Next Steps

Public, private, hybrid, multicloud, and edge

As digital transformation continues to revolutionize how organizations operate, business decision-makers face an ever-expanding array of cloud computing options. Each model offers unique benefits and challenges, making it essential for decision-makers to understand the nuances of public, private, hybrid, multicloud, and edge computing environments. This section aims to briefly guide you through the complexities of these cloud computing models, helping you make informed choices that align with your organization's strategic goals and requirements.

By understanding these computing environments, you will be better equipped to evaluate which approach best suits your organization's unique circumstances and objectives. The following table highlights critical factors to consider when planning your cloud adoption journey, ensuring a seamless transition that delivers maximum value and supports sustainable growth.

Public cloud

Public cloud refers to a computing environment where cloud service providers offer computing resources, such as storage, networking, and processing power, over the internet on a shared infrastructure. Businesses can access these resources on a pay-as-you-go basis, allowing them to scale their IT needs efficiently without investing in and maintaining physical hardware.


The pay-as-you-go pricing model reduces upfront costs and ongoing maintenance expenses.


Quickly scale resources up or down to match demand.


Access a wide variety of services and features.

Simplified management

The cloud provider handles infrastructure maintenance and updates.

Global reach

Utilize datacenters and services available worldwide.

Private cloud

A private cloud is a computing environment where a single organization exclusively uses dedicated resources, either on-premises or hosted by a third-party provider. Private clouds offer more control, customization, and security than public clouds, making them suitable for organizations with strict data privacy and compliance requirements.

Enhanced security

Greater control over data and network security measures.


Tailor the infrastructure and services to meet specific organizational needs.


Facilitate adherence to industry-specific regulations and standards.

Dedicated resources

Enjoy the consistent performance and dedicated hardware.


Retain more significant control over the cloud environment and underlying infrastructure.

Hybrid cloud

A hybrid cloud combines public and private cloud elements, allowing organizations to utilize the best of both worlds. By making use of a hybrid cloud, businesses can take advantage of the cost-efficiency and scalability of public cloud services for less-sensitive workloads while maintaining sensitive data and critical applications on a private cloud for enhanced security and control.

Best of both worlds

Combine the benefits of public and private cloud environments.


Move workloads between public and private clouds based on needs and requirements.

Optimized cost

Allocate resources across public and private clouds to optimize costs.

Enhanced security

Keep sensitive data on-premises while making use of public cloud resources for non-sensitive workloads.

Business continuity

Improve disaster recovery and backup strategies by distributing data and applications across multiple environments.


Multicloud strategically uses multiple cloud service providers for different tasks or workloads. Organizations adopt multicloud strategies to avoid vendor lock-in, enhance performance by utilizing the strengths of various providers, and increase redundancy to mitigate risks associated with relying on a single provider.

Avoid vendor lock-in

Distribute workloads across multiple cloud providers to minimize dependence on a single provider.


Choose the best services and features from each cloud provider to suit specific needs.

Enhanced resilience

Improve reliability by distributing resources across multiple cloud providers.

Cost optimization

Make use of the pricing and service advantages of different providers.


Access the latest features and technologies from multiple providers.

Edge computing

Edge computing is a distributed computing paradigm that brings data processing and storage closer to the source of data, such as IoT devices or sensors, reducing latency and bandwidth consumption. By processing data at the edge of the network, businesses can enable real-time analytics, improve the user experience, and increase the efficiency of their operations.

Reduced latency

Process data closer to the source, minimizing data processing and transmission delays.

Improved performance

Offload processing tasks to edge devices, reducing the burden on central servers.

Enhanced security

Limit the exposure of sensitive data by processing it locally.


Deploy edge computing resources as needed to support growing workloads.

Real-time analytics

Enable faster decision-making and insights by processing data at the edge.

Understanding these cloud deployment models will help you decide on the most suitable cloud strategy for your organization. Each model has unique advantages, and the right choice depends on your business requirements, budget, and compliance needs.