Infrastructure as a Service

Support your mission-critical applications and workloads with instant and scalable infrastructure. With Azure IaaS, you can focus on your business needs instead of spending the time and money it takes to plan, procure, secure, and manage the right infrastructure to meet your application demands.

Did You Know: Some of the world's leading brands are running their applications on Azure, Microsoft's cloud platform. Talk of Real Madrid FC, AccuWeather, and Heineken among many others. 72% of organizations had at least least one application running in the cloud in 2015, a 15% increase from 2012. Read the infographic here

Typical things businesses do with Azure IaaS include:

  • Test and development. Teams can quickly set up and dismantle test and development environments, bringing new applications to market faster. IaaS makes it quick and economical to scale up dev-test environments up and down.
  • Website hosting. Running websites using IaaS can be less expensive than traditional web hosting.
  • Storage, backup, and recovery. Organizations avoid the capital outlay for storage and complexity of storage management, which typically requires a skilled staff to manage data and meet legal and compliance requirements. IaaS is useful for handling unpredictable demand and steadily growing storage needs. It can also simplify planning and management of backup and recovery systems.
  • Web apps. IaaS provides all the infrastructure to support web apps, including storage, web and application servers, and networking resources. Organizations can quickly deploy web apps on IaaS and easily scale infrastructure up and down when demand for the apps is unpredictable.
  • High-performance computing. High-performance computing (HPC) on supercomputers, computer grids, or computer clusters helps solve complex problems involving millions of variables or calculations. Examples include earthquake and protein folding simulations, climate and weather predictions, financial modeling, and evaluating product designs.
  • Big data analysis.Big data is a popular term for massive data sets that contain potentially valuable patterns, trends, and associations. Mining data sets to locate or tease out these hidden patterns requires a huge amount of processing power, which IaaS economically provides.

Quickly scale your computing infrastructure up and down with demand, and pay only for what you use. Use fully managed infrastructure while you purchase, install, configure, and manage your own software—operating systems, middleware, and applications