Azure Cloud Computing

Azure is Microsoft’s public cloud computing platform

Azure allows organizations to build, deploy, and manage applications and services through a global network of Microsoft-managed datacenters. It supports many different programming languages, tools, and frameworks, including both Microsoft-specific and third-party software and systems. Azure is a public cloud which supports the entire enterprise.DesignMind develops on the Microsoft Azure cloud

Why use cloud computing?

  • Simplify your operations, eliminating the need to purchase, maintain, and secure physical servers, either at your facility or in data centers
  • Solve your business problems, using a wide range of services, solutions, and technologies
  • Easily scale up as your needs and down as business needs fluctuate
  • Move costs from CapEx to OpEx, while keeping initial investment low
  • Improve security and uptime

Options for utilizing cloud services

  • Infrastructure as a Service (IaaS)  On-premises hardware is emulated in the cloud. Software is installed on cloud-based virtual machines. This is often the quickest way to move from your data center to the cloud. However, you are responsible for all the same things (except the hardware itself) such as applying security and other patches, etc. Azure supports both Windows and Linux.
  • Platform as a Service (PaaS)  Control and patching of individual virtual machines is not required. Azure’s PaaS services, such as Power BI, Azure SQL Database, SQL Data Warehouse, Cosmos DB, and development tools are simply used, not installed and maintained. Azure can scale out these services as needed, simplifying operations.
  • Software as a Service (SaaS)   Hosted applications, available for use typically via browser. Dynamics CRM and Dynamics 365 are services that can be used by organizations without any software installation. Customization is possible too. Learn more about Saas here.

DesignMind experts support many Azure services

Power BI

• Visualizations
• Dashboards
• Training
• Embedded
• Mobile
• Adoption
• Governance


• HDInsight
• Stream Analytics
• Data Lake Analytics
• Databricks – Spark-based analytics platform
• Analysis Services
• Event Hubs
• Data Factory



• SQL Database
• SQL Data Warehouse
• Cosmos DB
• Data Lake Store

Artificial Intelligence and Machine Learning

• Cognitive Services
• Bot Service
• Machine Learning
• ML Studio
• ML Workbench