Comprehensive Guide to Azure Compute Services and Networking Services

Introduction to Azure Cloud Services

Microsoft Azure offers a wide range of cloud services, including compute, networking, storage, and more, enabling businesses to build, deploy, and manage applications through Microsoft-managed data centers. This guide focuses on two core areas: Azure Compute Services and Azure Networking Services, providing insights into the key offerings and when to use each.

Azure Compute Services Overview

Compute Services are on-demand computing services for resources, storage, and services for different applications. Vendors like Azure and AWS provide these services to run various applications on the cloud.
Different products available are

  • Virtual machines
  • Virtual Machine Scale Sets
  • Container Instances (ACI)
  • Kubernetes Services(AKA)
  • App Services
  • Functions

What is Virtualization in Cloud Computing?

Virtualization enables multiple virtual machines (VMs) to run on a single physical server by emulating hardware. Key features include:

  • Emulation of physical machines
  • Different virtual hardware configurations per machine/app
  • Different operating systems per machine/app
  • Total separation of environments
  • File systems, 
  • Services,
  • Ports,
  • Middleware,
  • Configuration,

Top Azure Compute Services

1. Azure Virtual Machines (VMs)

Key Characteristics 

  • Infrastructure as a Service (IaaS)
  • Total control over the operating system and the software
  • Supports marketplace and custom images
  • Best Suited for
    • Custom software requiring system configuration
    • Lift and shift scenarios
  • Can run
    • Web apps & web services,
    • Databases
    • Desktop applications,
    • Jump Boxes,
    • gateways, etc.

2. Azure Virtual Machine Scale Sets

Key Characteristics 

  • Infrastructure as a Service(IaaS)
  • Set of Identical virtual machines
  • Built-in auto scaling features
  • Designed for manual and auto-scaled workloads like web services, batch processing, etc

3. Azure Container Instances (ACI)

Key Characteristics

  • Use the host’s operating system
  • Emulate an operating system(VMs emulate hardware)
  • Lightweight(no O/S)
    • Development Effort
    • Maintenance
    • Compute & Storage requirements
  • Respond quickly to demand changes
  • Designed for almost any scenario

4. Azure Kubernetes Service (AKS)

Key Characteristics

  • Open-source container orchestration platform
  • Platform as a Service 
  • Highly scalable and customizable
  • Designed for high-scale container deployments(anything really)

5. Azure App Service

Key Characteristics

  • Designed as an enterprise-grade web application service 
  • Platform as a Service 
  • Supports multiple programming languages and containers

6. Azure Functions (Function Apps)

Key Characteristics

  • Platform as a Service
  • Serverless 
  • Two hosting/pricing models
    • Consumption-based plan
    • Dedicated plan
  • Designed for micro/nano-services

Azure Compute Services Summary Table

ServiceTypeBest For
Azure VMsIaaSCustom deployments with full control
VM Scale SetsScalable, managed Kubernetes deploymentsAutoscaled VM workloads
Container InstancesPaaSLightweight, quick-start container hosting
AKSPaaSScalable, managed Kubernetes deployements
App ServicePaaSEnterprise web app hosting
Azure Functions Serverless (PaaS)Microservices with event-based triggers


Reference – https://learn.microsoft.com/en-us/azure/architecture/guide/technology-choices/compute-decision-tree

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