Abstract: A method for providing test and regression automation via a cloud native elastic tool is disclosed. The method includes obtaining test configurations, the test configurations corresponding to a test suite; parsing the test configurations to identify testing conditions for the test suite; automatically determining testing parameters for executing the test suite based on the identified testing conditions; executing the test suite based on the automatically determined testing parameters in a computing environment, the computing environment including a distributed computing environment; verifying results of the executing; and generating a report for the test suite, the report including information that corresponds to the automatically determined testing parameters, an execution status, and a verification result.

Abstract: A method for optimizing an allocation of infrastructure resources in a cloud environment based on supply and demand considerations with respect to computational capacity is provided. The method includes: receiving first information that relates to an initial number of jobs to be executed; determining, based on the first information, a number of clusters to be allocated for executing the jobs; provisioning the clusters such that each of the number of clusters is available for executing the jobs; receiving second information that relates to an updated number of jobs to be executed; adjusting, based on the second information, the number of clusters to be allocated; when the adjusting results in an increase in the number of clusters to be allocated, provisioning at least one additional cluster; and when the adjusting results in a decrease in the number of clusters to be allocated, deprovisioning at least one cluster.

Abstract: A method for monitoring cloud-based applications that are integral to the performance of ongoing jobs and operations in order to provide status notifications and alerts when problems or breaches occur is provided. The method includes: receiving information that relates to a cluster of jobs that are using a cloud-based application and information that relates to a status of ongoing jobs; calculating a cost associated with the cluster and/or the ongoing jobs; analyzing the received information to diagnose problems and to determine whether a service level agreement is being breached; generating an alert when a problem is diagnosed and/or the service level agreement is determined as being breached; and displaying, on a dashboard user interface, information about the cluster and the ongoing jobs and any alerts that have been generated.