Abstract: A request to execute a recurring job is received by a cloud computing environment. Thereafter, available computing resources available to execute the job are determined based on historical resource consumption trends. A resource prediction for the job is then generated using an ensemble model ((S)ARIMA model) that combines an autoregressive moving average (ARMA) model and an autoregressive moving average (ARIMA) prediction models. The resource prediction characterizes resources to be consumed for successfully executing the job. Execution of the job can then be scheduled by the cloud computing environment based on the resource prediction and the available computing resources. Related apparatus, systems, techniques and articles are also described.

Abstract: A request to execute a recurring job is received by a cloud computing environment. Thereafter, available computing resources available to execute the job are determined based on historical resource consumption trends. A resource prediction for the job is then generated using an ensemble model ((S)ARIMA model) that combines an autoregressive moving average (ARMA) model and an autoregressive moving average (ARIMA) prediction models. The resource prediction characterizes resources to be consumed for successfully executing the job. Execution of the job can then be scheduled by the cloud computing environment based on the resource prediction and the available computing resources. Related apparatus, systems, techniques and articles are also described.

Abstract: Automated testing is performed in a distributed environment having computer systems executing software based on heterogenous application stacks. The computer systems are connected via the network to a service platform. A method provides for executing a function directed to a target system of the computer systems, the function resulting in network requests being sent from the service platform to the target system. The method further includes recording, at the service platform, the network requests produced by the executed function. The method further includes generating a service corresponding to the function based on the recorded network requests. The method further includes executing a test scenario which uses the generated service corresponding to the function to produce test requests.

Abstract: Automated testing is performed in a distributed environment having computer systems executing software based on heterogenous application stacks. The computer systems are connected via the network to a service platform. A method provides for executing a function directed to a target system of the computer systems, the function resulting in network requests being sent from the service platform to the target system. The method further includes recording, at the service platform, the network requests produced by the executed function. The method further includes generating a service corresponding to the function based on the recorded network requests. The method further includes executing a test scenario which uses the generated service corresponding to the function to produce test requests.