Azure Cloud Computing Services and Certification Program

Microsoft Azure Certified

Microsoft becomes the first cloud today with a totally managed, first-party service to ingest, persist and manage data from various industries whether it is finance, healthcare, IT or eCommerce in the smartest way.

With Microsoft Azure, organizations are hiring more and more skilled persons in various sectors of Azure which will ultimately increase the demand for professional and expert certified skilled Azure candidates for their companies. But to take the certification program through Azure online training session, it is always necessary to know about different categories of Azure cloud Products and Services and their usage so that the candidate can able to choose the right certification program for them.

Azure Products and Services
Microsoft sorts Azure cloud Services into dozens of categories:

Compute: These services of Azure enable the users to deploy and manage Virtual Machines (VMs), Batch Jobs, Containers and also support remote application access. Compute resources mainly generated within the Azure Cloud and can be configured either through private or Public IP addresses which totally depend on whether the resource requires to be accessible to the outside world or not.

Web: These services carry the development and operation of web applications. It has lots of other features like content delivery, searching, API management, Reporting and providing notification.

Mobile: These parts will help the developers to build cloud applications for the mobile devices which will provide notification services to support back-end tasks, tools for building APIs (Application Program Interfaces) and the capability to pair geospatial context with data.

Analytics: Such services offers distributed analytics as well as storage with lots of features for real-time analytics, data lakes, big data analytics, Business Intelligence (BI), Machine Learning (ML), Data Warehousing and Internet of Things (IoT)Data Streams.

Storage: These services provide a scalable Cloud storage system for unstructured as well as structured data. It can also support big data projects, archival storage and persistent storage.

Integration: This category of services are used for server backup, connecting private and public clouds and also used for site recovery.

Networking: It includes Virtual Networks, Dedicated connections and gateways and also services for traffic management and diagnostics, DNS hosting, load balancing and network protection against DDoS attacks (Distributed Denial of Service).

Content Delivery Network (CDN) and Media: These categories of services contain on-demand streaming, encoding, digital rights protection, indexing and also media playback.

Internet of things (IoT): It will help users analyze, capture, and monitor IoT data from sensors and other devices. The services include analytics, notifications, support of coding, monitoring and execution.

Identity: This category is only for the authorized users who can access Azure services and help them to protect encryption keys and another informative context in the cloud system. MFS (MultiFactor Authentication) and Azure Active Directory services are including in this.

Development: These services help the application developers to share code, track potential issues and test applications. Azure supports a huge range of application programming languages, Python, Node.js, JavaScript, .NET Tools in this category which includes support for Software Development Kits (SDKs) and Azure DevOps and blockchain.

DevOps: Provides collaboration and project tools like Azure DevOps with Visual Studio Team Services to facilitate DevOps Software development methods. It also offers DevOps tool integration, application diagnostics, test labs for building tests and experimentation.

Security: It provides the capabilities to recognize and respond to cloud security threats.

Containers: It helps an organization to register, create, orchestrate and manage high volumes of containers in the Azure Cloud by using common platforms like Kubernetes and Docker.

AI (Artificial Intelligence) and ML (Machine Learning): It is a huge range of services that a developer can use to introduce artificial intelligence, cognitive computing capabilities and machine learning into applications and data sets.

Databases: This category service includes Database as a service (DBaaS) which is for SQL and NoSQL and other database instances like Azure Database for PostgreSQL and Azure Cosmos DB.

Mixed Reality: It has been designed to help developers to create content for the Windows Mixed Reality environment.

Migration: It helps the organization to estimate workload migration costs and perform the original migration of workloads from local data centres to the Azure cloud.

Other services include: Blockchain, Microsoft Intune, Management and Governance and more.

Microsoft Azure Certified
Microsoft Azure Certified

About The Author

This article is from Sourav Kumar. Sourav Kumar is a Digital marketing specialist with an IT Company. He has 3 years of experience in SEO