What is Microsoft Azure – Overview

What is Microsoft Azure?

Microsoft Azure is Microsoft’s cloud computing platform for building, running, securing, and managing applications and services through Microsoft-managed datacenters. It was formerly called Windows Azure. In simple terms, Azure lets you use computing power, storage, databases, networking, analytics, AI, and developer tools without buying and maintaining all the physical infrastructure yourself.

Azure is used by developers, administrators, data teams, security teams, and businesses that want to host applications, store data, connect on-premises systems to the cloud, or create new cloud-native solutions. This overview explains what Azure does, how its main services are grouped, and which Azure concepts beginners should understand first.

Microsoft Azure in a nutshell: what Azure does

Microsoft Azure provides cloud services that help you run workloads without managing every part of the underlying hardware. For example, you can create a virtual machine, deploy a web app, store files, run a database, protect identities, monitor application health, and connect cloud resources to your existing network.

The exact service you choose depends on how much control you need. If you want full operating-system control, you may use Azure Virtual Machines. If you only want to deploy application code, you may use Azure App Service or another managed platform service. If you want to run logic only when an event occurs, you may use a serverless service such as Azure Functions.

How Microsoft Azure works for cloud applications

Azure resources are created inside an Azure subscription. Related resources are usually placed in resource groups so they can be managed together. Each resource is deployed to a region, configured with networking and security settings, and monitored through tools such as the Azure portal, Azure CLI, PowerShell, APIs, and Microsoft Learn documentation.

• Subscription: Billing and access boundary for Azure usage.
• Resource group: A logical container for resources that belong to the same app, environment, or project.
• Region: A geographic area where Azure resources are deployed.
• Availability zone: A physically separate zone inside supported Azure regions, used to improve resiliency.
• Azure portal: A web interface used to create, configure, and monitor Azure resources.

Microsoft Azure regions and global infrastructure

Azure runs on Microsoft’s global cloud infrastructure. Instead of saying that Azure has a fixed number of regions, it is better to check the official Azure region list because regions, availability zones, and service availability change over time. Current Azure pages describe Azure as having 60+ announced regions, but not every Azure service is available in every region.

When you create a resource, choose a region close to your users or close to the systems it must connect with. Also check data residency, compliance needs, latency, pricing, and whether the required service supports that region. For production systems, availability zones and multi-region designs can help improve reliability when they are supported by the services you use.

Microsoft Azure services by cloud category

Azure includes many services, so it is easier to understand the platform by category instead of memorizing every product name. The most common Azure service groups are shown below.

Azure service category	What it is used for	Common Azure examples
Compute	Run applications, servers, jobs, and workloads	Virtual Machines, App Service, Azure Functions
Storage	Store files, objects, disks, queues, and backups	Azure Storage, Managed Disks, Azure Files
Networking	Connect resources securely and control traffic	Virtual Network, Load Balancer, Application Gateway, ExpressRoute
Databases	Run relational, NoSQL, and managed database workloads	Azure SQL Database, Cosmos DB, Azure Database for PostgreSQL
Analytics	Process, query, and analyze large volumes of data	Azure Synapse Analytics, Azure Databricks, Azure Data Factory
AI and machine learning	Build, train, deploy, and consume AI services	Azure AI services, Azure Machine Learning
Identity and security	Manage sign-in, permissions, secrets, and protection	Microsoft Entra ID, Key Vault, Microsoft Defender for Cloud
Management and monitoring	Track health, costs, logs, and operations	Azure Monitor, Log Analytics, Cost Management

Microsoft Azure IaaS, PaaS, serverless, and SaaS explained

Azure is often explained using cloud service models. These models describe how much of the infrastructure you manage and how much Microsoft manages for you.

Azure Infrastructure as a Service (IaaS)

Infrastructure as a Service gives you cloud infrastructure such as virtual machines, disks, and networking. You control the operating system, installed software, and most runtime configuration. Microsoft manages the physical datacenter, hardware, and core virtualization platform.

Azure Virtual Machines are a common IaaS example. They are useful when you need operating-system-level control, want to migrate an existing server, or need software that cannot easily run in a fully managed platform service.

Azure Platform as a Service (PaaS)

Platform as a Service lets you focus more on the application and less on the operating system. Microsoft manages more of the runtime, patching, scaling options, and platform maintenance. Azure App Service and Azure SQL Database are common PaaS-style services.

Azure serverless services

Serverless services run code or workflows without requiring you to manage servers directly. You still configure the service, security, and application logic, but the platform handles much of the scaling and execution environment. Azure Functions is a common serverless option for event-driven tasks.

Where SaaS fits with Microsoft Azure

Software as a Service means a complete application is delivered as a service to users. Microsoft 365 is a well-known Microsoft SaaS product. Azure itself is mainly a cloud platform used to build, host, integrate, and operate services, including SaaS applications created by organizations.

Microsoft Azure Virtual Machines for IaaS workloads

Microsoft Azure Virtual Machines allow users to create, delete, resize, and manage virtual servers running supported operating systems. You can attach disks, configure networking, apply access rules, and install your required software. The number of disks, CPU cores, memory, and throughput depend on the virtual machine size selected.

Use virtual machines when you need maximum control over the operating system or when you are migrating traditional server workloads. For new applications, also compare managed alternatives because they may reduce maintenance work.

Microsoft Azure App Service and Web Apps

Azure web apps run on Azure App Service and allow you to host web applications without directly managing the underlying servers. This is useful for websites, APIs, and backend applications where you want deployment, scaling, and platform maintenance handled through a managed service.

For many beginner projects, App Service is easier to start with than a virtual machine because you deploy application code instead of configuring a full server from the operating system upward.

Microsoft Azure Storage for files, objects, and disks

Microsoft Azure Storage provides cloud storage for different data needs. Blob storage is commonly used for unstructured data such as images, documents, logs, and backups. Azure Files provides managed file shares. Managed disks are used with Azure Virtual Machines. Queues can help decouple application components.

Azure Storage is also used by many other Azure services behind the scenes. When designing a storage solution, check the access pattern, redundancy option, retention need, region, and expected cost.

Azure Virtual Network, VPN, and ExpressRoute

Azure Virtual Network lets you create private network spaces in Azure. You can place resources in subnets, control traffic with network security rules, and connect Azure workloads to on-premises infrastructure. Connectivity options include site-to-site VPN, point-to-site VPN, private endpoints, and ExpressRoute.

ExpressRoute is used when an organization needs private connectivity between its network and Microsoft cloud services through a connectivity provider, instead of relying only on the public internet. It is commonly considered for enterprise, regulated, or high-throughput scenarios.

Azure databases, analytics, and data services

Azure provides managed database and analytics services for different data workloads. Azure SQL Database is a managed relational database service based on SQL Server technology. Azure Cosmos DB is designed for globally distributed NoSQL workloads. Azure Database for PostgreSQL and Azure Database for MySQL support popular open-source database engines as managed services.

For analytics and big data, Azure offers services for data integration, warehousing, lake storage, streaming, and machine learning pipelines. The right service depends on whether your workload is transactional, analytical, real-time, batch-oriented, or AI-focused.

Azure identity, security, backup, and disaster recovery

Identity and security are central parts of Azure. Microsoft Entra ID, formerly Azure Active Directory, is used for identity and access management. Azure Key Vault stores secrets, keys, and certificates. Microsoft Defender for Cloud helps assess and improve security posture across cloud and hybrid environments.

Azure Backup and Azure Site Recovery support backup and disaster recovery scenarios. Azure Site Recovery can help replicate and recover supported workloads as part of a business continuity plan. The exact recovery design depends on the application architecture, recovery time objective, recovery point objective, and supported regions.

Azure AI, machine learning, and application modernization

Azure includes AI and machine learning services for building intelligent applications, training models, deploying models, and consuming prebuilt AI capabilities. These services are commonly used with data platforms, application services, security controls, and monitoring tools.

Azure is also used for application modernization. A traditional application may start on virtual machines and later move parts of the workload to App Service, containers, managed databases, serverless functions, or event-driven services.

Older Azure service names beginners may still see

Older Azure tutorials and screenshots may use names that have changed or services that are no longer the recommended starting point. When reading older material, compare it with current Microsoft documentation before using the same service in a new project.

Older name or older service	Current note for learners
Windows Azure	The platform is now called Microsoft Azure.
Windows Azure Active Directory / Azure Active Directory	The identity platform is now under the Microsoft Entra name.
Visual Studio Online	Many developer workflow features are now known through Azure DevOps services.
Mobile Services	Modern mobile backends are usually built with App Service, APIs, Functions, identity, databases, and notification services.
RemoteApp and StorSimple	These names appear in older Azure content; check current Microsoft documentation for supported alternatives.

When to use Microsoft Azure

Azure is a good fit when an application needs cloud hosting, elastic capacity, managed databases, global deployment options, disaster recovery, hybrid connectivity, centralized identity, or integration with Microsoft tools. It can also be used for test environments, development labs, data platforms, AI workloads, backup, and modernization of older applications.

• Host a website, API, or backend application.
• Move existing virtual machines or databases to cloud infrastructure.
• Store files, backups, logs, and application data.
• Connect branch offices or datacenters to cloud resources.
• Build analytics, AI, and machine learning workflows.
• Set up backup, monitoring, and disaster recovery for supported workloads.

Is Microsoft Azure hard to learn?

Microsoft Azure is not hard to start, but it is broad. Beginners should avoid trying to learn every service at once. Start with cloud basics, Azure regions, subscriptions, resource groups, virtual machines, storage, networking, identity, and one application hosting option such as App Service. After that, learn databases, monitoring, security, and cost management.

A practical learning path is to create a small resource group, deploy a simple web app or virtual machine, add storage, review access permissions, monitor the resource, and then delete the resources to avoid unnecessary cost.

Microsoft Azure beginner learning path

• Understand what cloud computing means and how IaaS, PaaS, and serverless differ.
• Learn Azure subscriptions, resource groups, regions, and availability zones.
• Create a simple Azure resource such as a storage account, web app, or virtual machine.
• Practice identity and access management with Microsoft Entra ID and role-based access control.
• Learn how to check usage, pricing, alerts, logs, and resource health.
• Use Microsoft Learn modules and official Azure documentation for the latest service behavior.

FAQ on Microsoft Azure overview

Editorial QA checklist for this Microsoft Azure overview

• Verify that Azure is described as a cloud platform, not only as one service.
• Confirm that IaaS, PaaS, serverless, and SaaS are explained with correct responsibility boundaries.
• Check that old names such as Windows Azure, Azure Active Directory, Mobile Services, RemoteApp, and StorSimple are not presented as current beginner recommendations without context.
• Review Azure region and service availability statements against current Microsoft documentation before publishing major updates.
• Make sure beginner readers can identify the next practical step: learn subscriptions, resource groups, regions, compute, storage, networking, identity, and cost management.

Official Microsoft Azure reference links

• What is Azure? – Microsoft Azure
• Explore Microsoft Azure
• Azure products by category
• Microsoft Learn Azure training
• List of Azure regions

Microsoft Azure overview summary for beginners

Microsoft Azure is a cloud platform for running applications, storing data, connecting networks, managing identities, analyzing information, building AI solutions, and protecting workloads. A beginner should first understand subscriptions, resource groups, regions, IaaS, PaaS, serverless, compute, storage, networking, identity, and cost management. After these basics are clear, it becomes easier to choose the right Azure service for a specific project.