Slide Microsoft Azure A wide range of cloud services are provided in it and also services for computing,
storage, analytics, and networking.


Microsoft Azure was formerly known as Windows Azure. It is Microsoft’s cloud computing platform. A wide range of cloud services are provided in it and also services for computing, storage, analytics, and networking. Microsoft Azure services are one of the most preferred choices for the organizations that need both Platform-as-a-service (PaaS) and Infrastructure-as-a-service (IaaS) models. It is an open and flexible Cloud platform.




Enable users to deploy and manage virtual machines, batch processing, containers etc.

Support the development and deployment of web applications and offers features for Application Programming Interface management

Offers scalable cloud storage for structured and unstructured and supports big data projects, archival storage, and persistent storage.

Features for real-time analytics, data lakes, big data analytics, business intelligence, machine learning, data streams, data warehousing, and the Internet of Things.

Includes virtual networks, dedicated connections and gateways, traffic management and diagnostics ,protection against attacks.

Services that enable server backup, site recovery, and connecting public and private clouds are available in this.

It offers services like digital rights protection, encoding, on-demand streaming, indexing, and media playback.

Allows only authorized users to access Azure services and helps in the protection of encryption keys and sensitive information in the cloud.

Help application developers to test applications, share code, and track potential issues with support of visual studio, the blockchain, and SDKs

Users can capture, monitor, and analyze IoT data from sensors and other devices.

Identifies and responds to cloud security threats and also have the capability to manage encryption keys and other sensitive assets.

Help an enterprise to create, register, and manage high volumes of containers in the Azure cloud using platforms like Docker and Kubernetes

Wide range of services which the developers can use to infuse machine learning, cognitive computing capabilities, and AI into applications and data sets.

This category includes DBaaS for SQL and NoSQL and other database instances such as Azure Cosmos DB and Azure Database for Postgre SQL.

This service offers project and collaboration tools such as Visual Studio Team services and offers features for application diagnostics, test labs, and DevOps.

Provide a range of backup, recovery, compliance automation, monitoring tools, and scheduling which helps the administrator to manage an Azure deployment.

It helps an organization to estimate workload migration costs, and migrate workloads from local data centers to the Azure cloud.

A developer can build cloud applications for mobile devices, support for back-end tasks, tools for building APIs and ability to couple geospatial context with data.