Scale out workload using Azure HDInsight
Scale is one of the reasons why organizations go for cloud computing, regardless of their size – enterprise or startup and whether it is for scale up or for scale out. For the uninitiated, simply put Scale Up is to add more power to single machine and Scale Out is to distribute the computing workload across multiple computers. Scale out enables the possibility of scaling to a level that is not possible with scale up. Scale out gives you virtually infinite scale.
Using the arsenal of Azure services, nice varieties of architectural patterns are possible for scaling out for large workload. Azure Functions, App Services, Azure Kubernetes clusters, HDInsight cluster, Azure synapse, Virtual Machine scale set are the most commonly used Azure services for scaling out depending on the kind of workload. We recently solved a large data processing workload using Azure HDInsight.