Overview
- 1Microsoft Azure is a hyperscale public cloud platform offering 200+ products and services spanning compute, storage, networking, databases, and AI.
- 2Deep integration with Microsoft 365, Windows Server, Active Directory, and Visual Studio makes Azure a natural fit for enterprises already invested in the Microsoft ecosystem.
- 3Azure AI Foundry (the evolution of Azure AI Studio) is now the primary portal for building, evaluating, and deploying generative AI applications on Azure.
- 4Azure organizes resources into subscriptions, resource groups, and management groups, giving enterprises fine-grained governance, policy enforcement, and cost tracking.
- 5A global footprint of 60+ announced regions and availability zones underpins compliance-sensitive workloads, data residency requirements, and hybrid deployments via Azure Arc.
Key Features in 2026
Azure OpenAI Service provides enterprise access to GPT-family and other models with private networking, content filtering, and Azure-grade SLAs.
Azure AI Foundry unifies model catalog browsing, prompt engineering, evaluation, and agent orchestration in a single workspace.
Azure Kubernetes Service (AKS) offers managed Kubernetes with integrated monitoring, auto-scaling, and Azure Policy-based governance.
Cosmos DB is a globally distributed, multi-model database supporting NoSQL, MongoDB, Cassandra, and vector search with single-digit millisecond latency.
Azure Functions delivers event-driven serverless compute with triggers for HTTP, queues, Blob Storage, and Cosmos DB change feeds.
Entra ID (formerly Azure Active Directory) provides identity and access management, conditional access, and single sign-on across Microsoft and third-party apps.
Bicep, a domain-specific language that compiles down to ARM templates, has become the recommended way to author Azure infrastructure as code.
Use Cases
- →Enterprise application modernization, migrating on-premises .NET and Windows Server workloads to App Service, AKS, or Azure Virtual Machines.
- →Building generative AI copilots and RAG applications using Azure OpenAI Service, Azure AI Search, and Azure AI Foundry agent tooling.
- →Globally distributed, low-latency applications backed by Cosmos DB for retail, gaming, and IoT telemetry workloads.
- →Hybrid and multicloud governance for regulated industries using Azure Arc, Azure Policy, and Microsoft Defender for Cloud.
2026 Key Updates
- Azure AI Foundry consolidates model catalog, evaluation, tracing, and multi-agent orchestration into one workspace, replacing the older Azure AI Studio branding.
- Azure OpenAI Service continues to expand its model catalog with the latest GPT, embedding, and reasoning models alongside fine-tuning and batch inference options.
- Azure Kubernetes Service has broadened support for automatic upgrades, node auto-provisioning, and tighter integration with Azure Monitor for containerized workloads.
- Cosmos DB's vector search and DiskANN-based indexing make it a common choice for retrieval-augmented generation (RAG) pipelines paired with Azure OpenAI.
- GitHub Copilot and Azure integration has deepened, with Copilot able to scaffold Bicep templates and suggest Azure resource configurations directly in the IDE.
- Entra ID has continued rolling out expanded conditional access and identity governance features aimed at securing AI agent and workload identities, not just human users.
- Azure Arc keeps extending Azure management, policy, and security tooling to on-premises servers, Kubernetes clusters, and other clouds for unified hybrid operations.
Core Services
- Azure Virtual Machines: on-demand Windows and Linux compute with a wide range of instance families, spot pricing, and reserved capacity discounts.
- App Service: fully managed PaaS for hosting web apps, REST APIs, and mobile backends with built-in autoscaling, deployment slots, and custom domains.
- Blob Storage: massively scalable object storage with hot, cool, and archive access tiers for unstructured data, backups, and static content.
- Azure SQL Database: a fully managed relational database service built on SQL Server engine, with serverless and hyperscale tiers for elastic workloads.
- Azure Virtual Network: software-defined networking providing subnets, private endpoints, VPN gateways, and peering for secure connectivity.
- Azure DevOps: integrated boards, repos, pipelines, and artifacts for planning, source control, and CI/CD, often used alongside or in place of GitHub Actions.
AI & ML Services
- Azure OpenAI Service: enterprise access to GPT and embedding models with private networking, role-based access control, and content safety filters.
- Azure AI Foundry: unified environment for discovering models, building prompt flows, evaluating outputs, and orchestrating multi-agent applications.
- Azure AI Search (formerly Cognitive Search): a managed search service with hybrid keyword and vector search, commonly used as the retrieval layer in RAG solutions.
- Azure AI Services (formerly Cognitive Services): prebuilt APIs for vision, speech, language understanding, translation, and document intelligence.
- Azure Machine Learning: an end-to-end MLOps platform for training, tuning, and deploying custom machine learning models at scale.
- Azure AI Content Safety: a moderation service that detects harmful text and image content across generative AI applications.
Infrastructure as Code
- Bicep is Microsoft's recommended domain-specific language for declaring Azure resources, offering cleaner syntax than raw JSON ARM templates while compiling down to them.
- ARM (Azure Resource Manager) templates remain the underlying deployment engine and JSON schema that Bicep, Terraform, and the Azure Portal all ultimately target.
- Terraform's azurerm provider is widely used for teams standardizing on a single multicloud IaC tool across Azure, AWS, and GCP.
- Azure Deployment Stacks let teams manage the full lifecycle of a set of resources as one unit, including safe deletion of resources removed from templates.
- Azure Policy enforces organizational standards and compliance rules automatically at deployment time, complementing IaC with guardrails.
- GitHub Actions and Azure DevOps Pipelines both offer first-class tasks for validating and deploying Bicep and ARM templates as part of CI/CD workflows.
Frequently Asked Questions
What is Azure OpenAI Service?▼
Azure OpenAI Service gives enterprises API access to OpenAI's models, such as GPT and embedding models, running on Azure infrastructure with added enterprise controls like private networking, role-based access control, and content filtering. It is billed through Azure and integrates with other Azure services like AI Search and Entra ID. This makes it a common choice for organizations that need OpenAI-grade models but must meet strict compliance or data residency requirements.
What is Azure AI Foundry?▼
Azure AI Foundry (the successor to Azure AI Studio) is Microsoft's unified workspace for building generative AI applications on Azure. It brings together model catalog browsing, prompt engineering, evaluation, and multi-agent orchestration in one place. Developers use it to compare models, test prompts, and move from prototype to production-ready AI agents.
Azure vs AWS — which one should I choose?▼
Both are mature hyperscale clouds with broadly overlapping services, so the choice often comes down to existing investments and ecosystem fit. Azure tends to be favored by organizations already using Microsoft 365, Windows Server, and Active Directory/Entra ID, since integration is tighter and licensing can be simplified through Microsoft agreements. AWS often has a larger service catalog and longer track record in some areas, but for most workloads either platform can meet the requirements — evaluate based on specific services needed, team familiarity, and negotiated enterprise pricing.
What is the Azure free tier and what does it include?▼
New Azure customers typically receive a limited-time credit (historically around $200) to spend on any Azure service during their first 30 days, plus a set of "always free" service tiers such as a limited amount of Azure Functions executions, Blob Storage, and App Service compute that remain free indefinitely within specified usage limits. Exact credit amounts and included services can change, so it's worth checking the current offer on the Azure pricing page before signing up.
AKS vs Azure App Service — when should I use each?▼
Azure App Service is the simpler choice for hosting standard web apps and APIs, since it is fully managed PaaS with built-in scaling, deployment slots, and minimal operational overhead. AKS (Azure Kubernetes Service) is better suited when you need fine-grained control over containers, multi-service microservice architectures, custom networking, or you are already standardized on Kubernetes across environments. Teams often start on App Service and migrate to AKS once orchestration complexity or portability requirements grow.
What is Cosmos DB used for?▼
Cosmos DB is Azure's globally distributed, multi-model database service, supporting NoSQL, MongoDB, Cassandra, Gremlin, and table APIs alongside native vector search. It offers single-digit millisecond read/write latency and automatic multi-region replication, making it popular for globally scaled applications like retail catalogs, gaming leaderboards, and IoT telemetry. It is also increasingly used as the vector store behind retrieval-augmented generation (RAG) applications built with Azure OpenAI Service.