Microsoft Azure Tutorials
Azure is fast growing cloud service and Microsoft is adding/updating the new services to the Azure cloud to meet today's business demand. In this tutorial you will learn Azure cloud based service and learn how to use Azure for deploying your applications of any size. These days companies are moving their applications and data on the cloud as on-premises infrastructure is expensive to build. In this section we will provide tutorials on the top services offered by Azure platform. You will learn the features of Azure cloud based services and see how to use these different services/products to deploy your applications in cost effective manner. Our Azure tutorials will teach you CloudStack, Azure Storage, Azure Cosmos DB, Azure SQL Database, Azure RDS and many other services of Azure cloud.
This Azure Tutorial covers Service Fabric, Kubernetes, App Services, EventHubs, Azure Search, Redis Cache, Ap-plication Insights, Service Bus, CDN, API Management, Azure Storage, Azure CosmosDB, Azure SQL, Azure Docker etc.
Introduction to the Azure
Azure is always evolving and always getting better, as of now there are over 200 services/products begin offered on Azure Cloud. Azure is more than just a cloud service. It is a software as a service so you can deploy your products on Azure and run them in your own environment and on-premises or cloud. Azure cloud is very powerful and offers all the services necessary to host any kind of applications. It is growing bigger day is day with great innovations behind it. Because of Azure cloud, the cost of hosting your applications is dropping. Developers who spend lots of time developing apps can easily save money by hosting on Azure.
Microsoft Azure cloud platform provides a large number of services that can be used without purchasing the hardware or arranging for the hardware. You just have to pay based on the usage of the service, you can use or rent the service/hardware you need and pay based on the usage. You can use these computing or stage services without committing. For example, if you have to process large amount of data then you can provision required number of servers say 10 or 50 or more and when your computing is done you can return back the resources. You will have to pay the amount for the time of usage of resources. If you have used these resources for 10 minutes, then you will have to pay only for 10 minutes use. This way companies are using required computing and storage services as an when required. This helps companies in focusing on their business instead of spending money and resources on the computing hardware purchase. These days most of the companies prefer cloud servers for their computing need.