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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Virtual Machine
  5. Azure App Service vs Azure Virtual Machines

Azure App Service vs Azure Virtual Machines

OverviewComparisonAlternatives

Overview

Azure Virtual Machines
Azure Virtual Machines
Stacks87
Followers82
Votes7
Azure App Service
Azure App Service
Stacks312
Followers380
Votes11

Azure App Service vs Azure Virtual Machines: What are the differences?

Introduction

In this article, we will discuss the key differences between Azure App Service and Azure Virtual Machines. Azure App Service and Azure Virtual Machines are both services offered by Microsoft Azure for hosting applications, but they differ in several aspects.

  1. Managed vs. Unmanaged Infrastructure: Azure App Service is a managed platform-as-a-service (PaaS) offering, which means that Microsoft takes care of managing the underlying infrastructure automatically. On the other hand, Azure Virtual Machines provide an unmanaged infrastructure-as-a-service (IaaS) offering, where users have complete control over the virtual machines and the underlying infrastructure.

  2. Deployment and Scalability: Azure App Service allows for easy deployment and scaling of applications. It provides an integrated development and deployment environment, allowing developers to easily publish their applications. It also supports automatic scaling based on customizable rules. In contrast, Azure Virtual Machines require manual management of deployments and scaling. Users need to manually provision and configure the virtual machines and handle scaling tasks themselves.

  3. Configuration and Management: Azure App Service provides a simplified configuration and management experience. Users can easily configure and manage the application settings, security, and monitoring through a web-based portal. It also supports streamlined deployment and continuous integration/continuous deployment (CI/CD) workflows. Azure Virtual Machines, on the other hand, require more manual configuration and management. Users need to configure the virtual machines, networks, and storage individually.

  4. Cost: Azure App Service is typically more cost-effective for hosting web applications, especially for small to medium-scale workloads. It offers a pay-as-you-go pricing model based on the number of instances and their respective sizes. Azure Virtual Machines, on the other hand, can be more expensive, especially for larger-scale workloads, as users are billed for the compute resources (virtual machines) on an hourly basis.

  5. Scalability Model: Azure App Service provides a scale-out model, where multiple instances of the application can be automatically created and load-balanced to handle increased traffic. This allows for seamless scaling without disrupting the application. Azure Virtual Machines, on the other hand, provide a scale-up model, where users can manually increase the capacity of the virtual machine by adding more resources, such as CPU, memory, or storage. This requires some downtime during the scaling process.

  6. Deployment Options: Azure App Service supports multiple deployment options, including continuous integration/continuous deployment (CI/CD) workflows, Git integration, and deployment from various supported development tools. It also supports containerization through Azure Container Instances and Azure Kubernetes Service. Azure Virtual Machines, on the other hand, provide more flexibility in terms of deployment options. Users can deploy custom virtual machine images, import virtual machines from on-premises, or choose from a wide range of pre-configured virtual machine images available in the Azure Marketplace.

In summary, Azure App Service is a managed PaaS offering that provides a simplified deployment and management experience, automatic scaling, and cost-effectiveness for hosting web applications. Azure Virtual Machines, on the other hand, provide more control and flexibility over the infrastructure and deployment options, but require more manual configuration and management, and can be more expensive for larger-scale workloads.

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Detailed Comparison

Azure Virtual Machines
Azure Virtual Machines
Azure App Service
Azure App Service

You can create Linux and Windows virtual machines. It gives you the flexibility of virtualization for a wide range of computing solutions—development and testing, running applications, and extending your datacenter. It’s the freedom of open-source software configured the way you need it.

Quickly build, deploy, and scale web apps created with popular frameworks .NET, .NET Core, Node.js, Java, PHP, Ruby, or Python, in containers or running on any operating system. Meet rigorous, enterprise-grade performance, security, and compliance requirements by using the fully managed platform for your operational and monitoring tasks.

Keep your budget in check with low-cost, per-second billing. You only pay for the compute time you use; Scale from one to thousands of VM instances in minutes with VM Scale Sets; Encrypt sensitive data, protect VMs from malicious threats, secure network traffic, and meet regulatory and compliance requirements; Choose Linux or Windows. Deploy your own VM image or download images from the Azure Marketplace
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Statistics
Stacks
87
Stacks
312
Followers
82
Followers
380
Votes
7
Votes
11
Pros & Cons
Pros
  • 1
    Scalability
  • 1
    Auto Scale
  • 1
    Low Cost
  • 1
    Reliable
  • 1
    Flexible
Pros
  • 6
    .Net Framework
  • 5
    Visual studio
Integrations
No integrations available
Python
Python
.NET
.NET
Ruby
Ruby
PHP
PHP
Node.js
Node.js
.NET Core
.NET Core

What are some alternatives to Azure Virtual Machines, Azure App Service?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

HHVM (HipHop Virtual Machine)

HHVM (HipHop Virtual Machine)

HHVM uses a just-in-time (JIT) compilation approach to achieve superior performance while maintaining the flexibility that PHP developers are accustomed to. To date, HHVM (and its predecessor HPHPc before it) has realized over a 9x increase in web request throughput and over a 5x reduction in memory consumption for Facebook compared with the PHP 5.2 engine + APC.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

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