Thursday, 24 February 2022 15:10

Microsoft Azure Cloud Computing is still big in 2022

Although the cloud isn’t new, the cloud market is continually evolving. While the developer community has been quick to adopt cloud computing, large enterprises have lagged – and regulated industries have been even slower. The alternative cloud market is offering different options for developers and businesses that don’t want the complexities of hyperscalers and don’t need their endless options and global footprint.

In this article, we are discussing few pointers on why Microsoft Azure Cloud Computing is still big in 2022 and tapping into different opportunities, especially for those who is using Microsoft Dynamics 365.

Rapid Adoption of AI at Edge

Edge computing makes it possible to build intelligent applications that span the cloud and the periphery of the network. What it means for Microsoft Azure product? Azure AI services like Azure Cognitive Services bring a trained AI model to the edge while integrating it with your applications for low – latency intelligence. It analyses information close to the system where the data resides information close to the system where the data resides with container support to deliver real – time insights.

It's a cloud – based services with REST API’s, client library SDKs, and user interfaces available to help organisation build cognitive intelligence into your organisation application. It’s perfect for organisation that doesn’t have resource with Artificial Intelligence (AI) or data science skills.

Hybrid & Multi – Cloud Model

Pandemic time has increased the usage of hybrid and multi – cloud model. However, managing it has its complexity and risks. As you know, Microsoft Dynamics 365 on Azure is designed to allow small and medium – sized businesses to quickly get on a reliable and scalable ERP system and thus manage the business in a future – proof environment.

Microsoft Azure addressed this new trend with moving to hybrid model capabilities with Azure managed services and products like Azure ARC and Azure Stack HCI / Edge.

The Azure Stack HCI and Azure Arc extend Azure capabilities to the client environment to run anywhere – from the data center to different locations and remote offices and even disconnected environments on hybrid, familiar infrastructures.

Machine Learning with Azure

Machine Learning has changed IT industry for quite a long time now. It has been integrated with Operations to create and deploy scalable models using automated and reproducible workflows using Machine Learning. One of the examples available from Microsoft is Power Automate integration with Dynamics 365.

Azure has come up with Azure ML – Managed Endpoints and PyTorch Enterprise on Azure. It provides an improved, simpler deployment experience. Endpoints support both real – time and batch interference scenarios. Unified interface to invoke and manage model deployments across compute types.

Microsoft Azure Security

Lastly, it’s the most favorite topic of ours. Security is one of the biggest concerns for all customers who wish to make transition to the cloud.

Because they will store data not on their on – premises storage setups rathe they will be safekeeping it in their cloud providers arrangements.

Microsoft Azure has full commitment on keeping data safe from latest threat and cyber security risks. Azure security offers confidentiality, integrity, and data availability along with accountability. With newer features to enhance cloud security, offer end – to – end traceability, and strengthen cloud security.