Containers v/s Virtual Machines – which is best for your cloud?

The cloud deployments today are based on virtual machines, but Containers offer another significant option for the users. The question of which Cloud deployment method to choose is entirely based on three primary factors:

  • Functional differences between VMs and containers,
  • Level of interdependence between private and public cloud components,
  • Users’ willingness to customize their own cloud platform.

Understanding the difference:

Virtual Machines and Containers represent two different ways to create virtual resources that run applications. The difference between containers and VMs is primarily in the location of the virtualization layer and the way that operating system resources are used.

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SAP Business One (SAP B1) in the Cloud

SAP B1 On Demand is the cloud version of the SAP Business One solution. It is built with flexibility in mind. As your business needs change, you can adapt and extend the software with add-on solutions that fulfill industry-specific and other needs.

SAP Business One Cloud runs on both the SAP HANA® and Microsoft SQL Server platforms, so you can choose the one that’s best for your business. SAP B1 9.1 is the latest stable release.

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Understanding AWS Big Data Services available in the Cloud

Amazon Web Services is the cloud platform which allows you to handle the Big Data. Whether it is structured or unstructured data, AWS enables you to collect, store, process, analyze and visualize Big Data on the cloud. Irrespective of the three V’s (Volume, Velocity and Variety) of the Big Data, you can build any application and support any type of workload.

There are many Amazon Web Services that are available for Cloud users to manage and use their Big Data. The most widely used services are Amazon Elastic MapReduce (Amazon EMR), Amazon Kinesis, Amazon S3, Amazon Redshift, and Amazon DynamoDB.

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