Microsoft Azure

• Virtual machines, infrastructure as a service (IaaS) allowing users to launch general-purpose Microsoft Windows and Linux virtual machines, software as a service (SaaS) as well as preconfigured machine images for popular software packages.[9]
  • Starting in 2022, VMs are powered by Ampere Cloud-native processors.[10]
  • Most users run Linux on Azure, some of the many Linux distributions offered, including Microsoft's own Linux-based Azure Sphere.[11]
• App services, platform as a service (PaaS) environment letting developers easily publish and manage websites.
• Websites, Azure Web Sites allows developers to build sites using ASP.NET, PHP, Node.js, Java, or Python and can be deployed using FTP, Git, Mercurial, Team Foundation Server or uploaded through the user portal. This feature was announced in preview form in June 2012 at the Meet Microsoft Azure event.[12] Customers can create websites in PHP, ASP.NET, Node.js, or Python, or select from several open-source applications from a gallery to deploy. This comprises one aspect of the platform as a service (PaaS) offerings for the Microsoft Azure Platform. It was renamed Web Apps in April 2015.[7][13]
• WebJobs are applications that can be deployed to an App Service environment to implement background processing that can be invoked on a schedule, on-demand, or run continuously. The Blob, Table and Queue services can be used to communicate between WebApps, XYZ, iOS Software and WebJobs and to provide state.[5]
• Azure Kubernetes Service (AKS) allows you to quickly deploy a production-ready kubernetes cluster in Azure. Azure is responsible for managing the control plane and customers get the flexibility to choose/scale the data place (kubernetes worker nodes).[14]
• In July 2023, the general availability for Watermarking support on Azure Virtual Desktop was announced; an optional protection feature to Screen Capture that acts as a deterrent for data leakage.[15]

• Azure Active Directory Connect is used to synchronize on-premises directories and enable SSO (Single Sign On).[16]
• Azure Active Directory B2C allows the use of consumer identity and access management in the cloud.
• Azure Active Directory Domain Services is used to join Azure virtual machines to a domain without domain controllers.
• Azure information protection can be used to protect sensitive information.
• Azure Active Directory External Identities are a set of capabilities which allow organizations to collaborate with external users including customers and partners.[17]

• Mobile Engagement collects real-time analytics that highlight users’ behavior. It also provides push notifications to mobile devices.[18]
• HockeyApp can be used to develop, distribute, and beta-test mobile apps.[19]

• Storage Services provides REST and SDK APIs for storing and accessing data on the cloud.
• Table Service lets programs store structured text in partitioned collections of entities that are accessed by the partition key and primary key. Azure Table Service is a NoSQL non-relational database.
• Blob Service allows programs to store unstructured text and binary data as object storage blobs that can be accessed by an HTTP(S) path. Blob service also provides security mechanisms to control access to data.
• Queue Service lets programs communicate asynchronously by message using queues.
• File Service allows storing and access of data on the cloud using the REST APIs or the SMB protocol.[20]

• Azure Communication Services offers an SDK for creating web and mobile communications applications that include SMS, video calling, VOIP and PSTN calling, and web based chat.

• Azure Data Explorer provides big data analytics and data-exploration capabilities
• Azure Search provides text search and a subset of OData's structured filters using REST or SDK APIs.
• Cosmos DB is a NoSQL database service that implements a subset of the SQL SELECT statement on JSON documents.
• Azure Cache for Redis is a managed implementation of Redis.
• StorSimple manages storage tasks between on-premises devices and cloud storage.[21]
• Azure SQL Database works to create, scale and extend applications into the cloud using Microsoft SQL Server technology. It also integrates with Active Directory, Microsoft System Center and Hadoop.[22]
• Azure Synapse Analytics is a fully managed cloud data warehouse.[23][24]
• Azure Data Factory, is a data integration service that allows creation of data-driven workflows in the cloud for orchestrating and automating data movement and data transformation.[25]
• Azure Data Lake is a scalable data storage and analytic service for big data analytics workloads that require developers to run massively parallel queries.
• Azure HDInsight[26] is a big data relevant service, that deploys Hortonworks Hadoop on Microsoft Azure, and supports the creation of Hadoop clusters using Linux with Ubuntu.
• Azure Stream Analytics is a Serverless scalable event processing engine that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications.

The Microsoft Azure Service Bus allows applications running on Azure premises or off-premises devices to communicate with Azure. This helps to build scalable and reliable applications in a service-oriented architecture (SOA). The Azure service bus supports four different types of communication mechanisms:[27][28]

• Event Hubs, which provide event and telemetry ingress to the cloud at a massive scale, with low latency and high reliability. For example, an event hub can be used to track data from cell phones such as coordinating with a GPS in real time.[29]
• Queues, which allow one-directional communication. A sender application would send the message to the service bus queue, and a receiver would read from the queue. Though there can be multiple readers for the queue only one would process a single message.
• Topics, which provide one-directional communication using a subscriber pattern. It is similar to a queue, however, each subscriber will receive a copy of the message sent to a Topic. Optionally the subscriber can filter out messages based on specific criteria defined by the subscriber.
• Relays, which provide bi-directional communication. Unlike queues and topics, a relay doesn't store in-flight messages in its memory. Instead, it just passes them on to the destination application.

A PaaS offering that can be used for encoding, content protection, streaming, or analytics.[30]

Azure has a worldwide content delivery network (CDN) designed to efficiently deliver audio, video, applications, images, and other static files. It improves the performance of websites by caching static files closer to users based on their geographic location. Users can manage the network using a REST-based HTTP API.[31]

Azure has 118 point of presence locations, across 100 cities, worldwide (also known as Edge locations) as of January 2023.[32]

• Application Insights[33]
• Azure DevOps[34]

• With Azure Automation, users can easily automate repetitive and time-consuming tasks, often prone to cloud or enterprise setting errors. They can accomplish it using runbooks or desired state configurations for process automation.[35]
• Microsoft SMA

• Microsoft Azure Machine Learning (Azure ML) provides tools and ML frameworks for developers to create their own machine learning and artificial intelligence (AI) services.
• Azure Cognitive Services by Microsoft comprise prebuilt APIs, SDKs, and services developers can customize. These services encompass perceptual and cognitive intelligence features such as speech recognition, speaker recognition, neural speech synthesis, face recognition, computer vision, OCR/form understanding, natural language processing, machine translation, and business decision services. Many AI characteristics in Microsoft's products and services, namely Bing, Office, Teams, Xbox, and Windows, are driven by Azure Cognitive Services.[36][37]

Through Azure[38] Blockchain Workbench, Microsoft is providing the required infrastructure to set up a consortium network in multiple topologies using a variety of consensus mechanisms. Microsoft provides integration from these blockchain platforms to other Microsoft services to streamline the development of distributed applications. Microsoft supports many general-purpose blockchains including Ethereum and Hyperledger Fabric and purpose-built blockchains like Corda.

Azure functions are used in serverless computing architectures where subscribers can execute code as an event driven Function-as-a-Service (FaaS) without managing the underlying server resources.[39] Customers using Azure functions are billed based on per-second resource consumption and executions.[40]

• Azure IoT Hub lets you connect, monitor, and manage billions of IoT assets. On February 4, 2016, Microsoft announced the General Availability of the Azure IoT Hub service.[41]
• Azure IoT Edge is a fully managed service built on IoT Hub that allows for cloud intelligence deployed locally on IoT edge devices.
• Azure IoT Central is a fully managed SaaS app that makes it easy to connect, monitor, and manage IoT assets at scale.[42] On December 5, 2017, Microsoft announced the Public Preview of Azure IoT Central; its Azure IoT SaaS service.[43]
• On October 4, 2017, Microsoft began shipping GA versions of the official Microsoft Azure IoT Developer Kit (DevKit) board; manufactured by MXChip.[44]
• On April 16, 2018, Microsoft announced the launch of the Azure Sphere, an end-to-end IoT product that focuses on microcontroller-based devices and uses Linux.[45]
• On May 7, 2018, Microsoft announced the launch of Azure Maps, an enterprise mapping platform.
• On June 27, 2018, Microsoft launched Azure IoT Edge, used to run Azure services and artificial intelligence on IoT devices.[46]
• On November 20, 2018, Microsoft launched the Open Enclave SDK for cross-platform systems such as ARM TrustZone and Intel SGX.[47]

Azure Stack HCI is a hyper-converged infrastructure (HCI) product that uses validated hardware to run virtualized workloads on-premises to consolidate aging infrastructure and connect to Azure for cloud services.[48]

Launched in September 2020, Azure Orbital lets private industries and government agencies process satellite data quickly by connecting directly to cloud computing networks. Mobile cloud computing ground stations are also available to provide connectivity to remote locations without ground infrastructure. Third-party satellite systems, like SpaceX's Starlink and SES' O3b constellation, can be employed.[49][50]

SES plans to use Microsoft's data centers to provide cloud connectivity to remote areas through its next-generation O3b mPOWER MEO satellites alongside Microsoft's data centers.[51] The company will deploy satellite control and uplink ground stations to achieve this. SES launched the first two O3b mPOWER satellites in December 2022; nine more are scheduled between 2023 and 2024. The service should begin in Q3 2023.[52]

According to Microsoft, using satellites to connect to cloud data centers may provide faster speeds than complex fiber routes. For online media, entertainment, or gaming activities, connecting from home to the cloud can involve longer routes with multiple hops. Through their experiments with Xbox Cloud, Microsoft has discovered that satellite connection is faster than terrestrial networks in certain parts of the world (including specific locations in the USA).[53]

On June 19, 2019, Microsoft announced the launch of two new cloud regions in the United Arab Emirates – Microsoft's first in the Middle East.[56] Microsoft's management stated that these new data centers would empower customers and partners to embrace the benefits of the Fourth Industrial Revolution and achieve more using cloud technologies.

Regarding cloud resources, Microsoft Azure offers two deployment models: the "classic" model and the Azure Resource Manager.[63] In the classic model, each resource, like a virtual machine or SQL database, had to be managed separately. But in 2014,[63] Azure introduced the Azure Resource Manager, which allows users to group related services. This update makes it easier and more efficient to deploy, manage, and monitor resources that work closely together.[64] The classic model will eventually be phased out.