Azure

Microsoft Azure is a public cloud computing platform that provides infrastructure, platform, and software services for building, deploying, and managing applications and workloads across global data centers.

• Public cloud infrastructure and platform services for compute, storage, and networking (cloud infrastructure)
• Managed data, analytics, and database services for transactional and analytical workloads (data management and analytics)
• Artificial Intelligence (AI), Machine Learning (ML), and cognitive APIs for application integration and model development (AI infrastructure and AI services)
• Developer and DevOps tooling for application lifecycle management and automation (cloud DevOps)
• Security, identity, compliance, and governance services for cloud and hybrid environments (cloud security and governance)

More About Azure

Microsoft Azure is a cloud computing platform that offers on-demand infrastructure, platform, and application services delivered from Microsoft-operated data centers across multiple geographic regions. Enterprises use Azure to run virtual machines, containers, databases, web applications, and integration services, and to extend or replace on-premises (on-prem) infrastructure with scalable cloud resources. Azure supports infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) models within a single ecosystem.

In enterprise environments, Azure (cloud infrastructure) is used to host production applications, enterprise resource planning systems, line-of-business workloads, and virtual desktop environments. Organizations deploy virtual networks, load balancers, and Virtual Private Network (VPN) or private connectivity to integrate Azure with on-prem data centers and branch locations. Hybrid cloud patterns are supported through services that connect on-prem servers and storage to Azure-based compute, backup, and Disaster Recovery (DR) resources.

Azure provides a broad set of managed database and analytics offerings (data management and analytics), including relational, NoSQL, and big data services. These services integrate with data ingestion, streaming, and reporting tools for business intelligence, batch processing, and real-time analytics. Azure storage services support object, file, and block storage accessible via Representational State Transfer (REST) APIs, SDKs, and standard protocols, enabling use cases such as backup, archival, content delivery, and application data storage.

For AI and ML, Azure offers training and inferencing capabilities (AI infrastructure and AI services) that run on Central Processing Unit (CPU) and GPU-based compute, as well as pre-built cognitive services accessed through APIs for vision, speech, language, and decision support scenarios. These services allow enterprises to embed AI features into applications without building models from the ground up, while also supporting custom model development and Machine Learning Operations (MLOps) workflows.

Developer and DevOps capabilities on Azure (cloud DevOps) include integrated build and release pipelines, infrastructure as code, container registries, and orchestration with Kubernetes-based services. Enterprises use these tools to standardize Continuous Integration and Continuous Deployment (CI/CD) processes, manage application configuration, and automate deployment across development, test, and production environments. Support for multiple programming languages, frameworks, and open-source tools enables various application architectures, including microservices and serverless functions.

Security, identity, and governance services (cloud security and governance) are core to Azure’s enterprise positioning. Azure provides identity and access management, role-based access controls, encryption options, threat detection, security posture management, and compliance-related tooling mapped to many regulatory frameworks. Policy, cost management, and resource governance services allow organizations to manage multi-subscription and multi-tenant deployments at scale.

From a directory and categorization perspective, Azure spans multiple enterprise IT categories: cloud infrastructure and hosting; data management and analytics; AI infrastructure and services; developer and DevOps platforms; security and identity; networking and hybrid connectivity; and management, monitoring, and governance. Enterprises commonly evaluate Azure alongside other hyperscale cloud platforms within these categories, focusing on workload fit, regional coverage, integration with existing Microsoft environments, and alignment with organizational cloud strategies.