Abstract: Building binary packages for software products, particularly large-scale software products, is a highly computation intensive process. Thus, it is desirable to distribute the workload over a large number of computing nodes so as to have the build process complete in an optimal period of time. One environment providing compute resources that can be utilized for a highly available and dynamically scalable distributed build process is an elastic compute cloud. In such an environment, virtual machines can be instantiated and destroyed as the resource requirements of the build process dictate. This has the advantage that dedicated hardware is unneeded, and excess capacity on the hardware employed can be employed for other computation tasks when the build process is idle. Presented herein are systems, methods and computer storage media for distributing a highly available and scalable build service, suitable for use in an elastic compute environment or other distributed environment.

Abstract: Building binary packages for software products, particularly large-scale software products, is a highly computation intensive process. Thus, it is desirable to distribute the workload over a large number of computing nodes so as to have the build process complete in an optimal period of time. One environment providing compute resources that can be utilized for a highly available and dynamically scalable distributed build process is an elastic compute cloud. In such an environment, virtual machines can be instantiated and destroyed as the resource requirements of the build process dictate. This has the advantage that dedicated hardware is unneeded, and excess capacity on the hardware employed can be employed for other computation tasks when the build process is idle. Presented herein are systems, methods and computer storage media for distributing a highly available and scalable build service, suitable for use in an elastic compute environment or other distributed environment.

Abstract: Building binary packages for software products, particularly large-scale software products, is a highly computation intensive process. Thus, it is desirable to distribute the workload over a large number of computing nodes so as to have the build process complete in an optimal period of time. One environment providing compute resources that can be utilized for a highly available and dynamically scalable distributed build process is an elastic compute cloud. In such an environment, virtual machines can be instantiated and destroyed as the resource requirements of the build process dictate. This has the advantage that dedicated hardware is unneeded, and excess capacity on the hardware employed can be employed for other computation tasks when the build process is idle. Presented herein are systems, methods and computer storage media for distributing a highly available and scalable build service, suitable for use in an elastic compute environment or other distributed environment.

Abstract: A method for optimization of a software build includes collecting first data representative of inputs for a build process obtained by a set of data accessing operations implemented during a first execution of the build process, the set including a file accessing operation and a non-file accessing operation. A redirection routine embedded within the build process captures the inputs. The first data is compared with second data representative of the inputs obtained in connection with a second execution of the build process. If the first and second data do not match, the second data is recorded in a data store and output data generated by the second execution of the build process is stored. If the first and second data match, output data generated by the first execution of the build process is used as an output for the second execution of the build process.

Abstract: A computer-implemented method for validation of a software product via a distributed computing infrastructure includes receiving configuration data for a plurality of validation tasks of the validation, receiving code data representative of the software product, defining a validation pipeline to implement the plurality of validation tasks based on the configuration data, and initiating execution of the plurality of validation tasks on a plurality of virtual machines of the distributed computing infrastructure. Initiating the execution includes sending the code data and data indicative of the defined validation pipeline to configure each virtual machine in accordance with the code data and the defined validation pipeline.

Abstract: A method for optimization of a software build includes collecting first data representative of inputs for a build process obtained by a set of data accessing operations implemented during a first execution of the build process, the set including a file accessing operation and a non-file accessing operation. A redirection routine embedded within the build process captures the inputs. The first data is compared with second data representative of the inputs obtained in connection with a second execution of the build process. If the first and second data do not match, the second data is recorded in a data store and output data generated by the second execution of the build process is stored. If the first and second data match, output data generated by the first execution of the build process is used as an output for the second execution of the build process.

Abstract: Building binary packages for software products, particularly large-scale software products, is a highly computation intensive process. Thus, it is desirable to distribute the workload over a large number of computing nodes so as to have the build process complete in an optimal period of time. One environment providing compute resources that can be utilized for a highly available and dynamically scalable distributed build process is an elastic compute cloud. In such an environment, virtual machines can be instantiated and destroyed as the resource requirements of the build process dictate. This has the advantage that dedicated hardware is unneeded, and excess capacity on the hardware employed can be employed for other computation tasks when the build process is idle. Presented herein are systems, methods and computer storage media for distributing a highly available and scalable build service, suitable for use in an elastic compute environment or other distributed environment.

Abstract: Building binary packages for software products, particularly large-scale software products, is a highly computation intensive process. Thus, it is desirable to distribute the workload over a large number of computing nodes so as to have the build process complete in an optimal period of time. One environment providing compute resources that can be utilized for a highly available and dynamically scalable distributed build process is an elastic compute cloud. In such an environment, virtual machines can be instantiated and destroyed as the resource requirements of the build process dictate. This has the advantage that dedicated hardware is unneeded, and excess capacity on the hardware employed can be employed for other computation tasks when the build process is idle. Presented herein are systems, methods and computer storage media for distributing a highly available and scalable build service, suitable for use in an elastic compute environment or other distributed environment.

Abstract: Building binary packages for software products, particularly large-scale software products, is a highly computation intensive process. Thus, it is desirable to distribute the workload over a large number of computing nodes so as to have the build process complete in an optimal period of time. One environment providing compute resources that can be utilized for a highly available and dynamically scalable distributed build process is an elastic compute cloud. In such an environment, virtual machines can be instantiated and destroyed as the resource requirements of the build process dictate. This has the advantage that dedicated hardware is unneeded, and excess capacity on the hardware employed can be employed for other computation tasks when the build process is idle. Presented herein are systems, methods and computer storage media for distributing a highly available and scalable build service, suitable for use in an elastic compute environment or other distributed environment.