Introduction to Microsoft Azure and its Application

Microsoft Azure (formerly Windows Azure) is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through a global network of Microsoft-managed data centers. It provides software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS) and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems.

Services –
Microsoft lists over 600 Azure services, of which some are covered below:

Compute

  • Virtual machines, infrastructure as a service (IaaS) allowing users to launch general-purpose Microsoft Windows and Linux virtual machines, as well as preconfigured machines images for popular software packages.
  • App services, platform as a service (PaaS) environment.
  • Web Sites, high density hosting sites that allow developers to build sites using ASP.NET, PHP, Node.js, 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 at the Microsoft Azure event. [6] 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 aspect is one of the services offered by PaaS for the Microsoft Azure Platform. It’s renamed to Web Apps in April 2015.
  • WebJobs, applications that can be deployed to the App Service environment to implement the background processing that can be on schedule, on demand, or run continuously. The Blob, Table and Queue Services can be used to communicate between WebApps and WebJobs and to provide state.

Mobile services

  • Mobile engagement collects real-time analytics that highlight users‘ behavior. It also provides push notifications to mobile devices.
  • HockeyApp can be used to develop, distribute, and beta-test mobile apps.

Storage services

  • Storage Services provides REST and SDK APIs for storing and accessing data on the cloud.
  • Table Service can be read by partition key and primary key. It’s a NoSQL non-relational database.
  • Blob Service provides programs to store unstructured text and binary data as well as 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 the storage and access of data on the cloud using the REST APIs or the SMB protocol.

Data management

  • Azure Search provides text search and subset of OData’s structured filters using REST or SDK APIs.
  • Cosmos DB is a NoSQL database service that implements a SQL statement on JSON documents.
  • Redis Cache is a managed implementation of Redis.
  • StorSimple manages storage tasks between on-premises devices and cloud storage.
  • SQL Database, formerly known as SQL Azure Database, works to create, scale and extend applications into the cloud using Microsoft SQL Server technology. It also integrates with Active Directory and Microsoft System Center and Hadoop.
  • SQL Data Warehouse is a data warehousing service designed to handle computational and data intensive queries on datasets exceeding 1TB.
  • 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.
  • 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 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.

Messaging
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:

  • Event Hubs, which provide event and telemetry ingress to the cloud at massive scale, with low latency and high reliability. For example an event hub can be used to track data from cell phones such as a GPS location coordinate in real time.
  • 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 own memory. Instead, it just passes them on to the destination application.

Media services –

A Paas offering that can be used for encoding, content protection, streaming, or analytics.

CDN –

A global content delivery network (CDN) for audio, video, applications, images, and other static files. It can be used to cache static assets of websites geographically closer to users to increase performance. The network can be managed by a REST based HTTP API.

Developer – Application Insights and Visual Studio Team Services

Management –

Azure Automation, provides a way for users to automate the manual, long-running, error-prone, and frequently repeated tasks that are commonly performed in a cloud and enterprise environment. It saves time and increases the reliability of regular administrative tasks and even schedules them to be automatically performed at regular intervals. You can automate processes using runbooks or automate configuration management using Desired State Configuration.

Machine learning

Microsoft Azure Machine Learning (Azure ML) service is part of Cortana Intelligence Suite that enables predictive analytics and interaction with data using natural language and speech through Cortana. Cognitive Services (formerly Project Oxford) are a set of APIs, SDKs and services available to developers to make their applications more intelligent, engaging and discoverable.

IoT

Microsoft announced the launch of the Azure Sphere, an end-to-end IoT product that uses microcontroller-based devices and Linux.
Microsoft launches Azure IoT Edge, used to run Azure services and artificial intelligence on IoT devices.

 

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