Abstract: Techniques are described herein that are capable of automatically allocating clients for testing a software program. For instance, a number of the clients that are to be allocated for the testing may be determined based on a workload that is to be imposed by the clients during execution of the testing. For example, the number of the clients may be a minimum number of the clients that is capable of accommodating the workload. In accordance with this example, the minimum number of the clients may be allocated in a targeted environment so that the test may be performed on those clients. Additional clients may be allocated along with the minimum number of the clients in the targeted environment to accommodate excess workload.

Abstract: Techniques are described herein that are capable of automatically allocating clients for testing a software program. For instance, a number of the clients that are to be allocated for the testing may be determined based on a workload that is to be imposed by the clients during execution of the testing. For example, the number of the clients may be a minimum number of the clients that is capable of accommodating the workload. In accordance with this example, the minimum number of the clients may be allocated in a targeted environment so that the test may be performed on those clients. Additional clients may be allocated along with the minimum number of the clients in the targeted environment to accommodate excess workload.

Abstract: Techniques are described herein that are capable of automatically allocating clients for testing a software program. For instance, a number of the clients that are to be allocated for the testing may be determined based on a workload that is to be imposed by the clients during execution of the testing. For example, the number of the clients may be a minimum number of the clients that is capable of accommodating the workload. In accordance with this example, the minimum number of the clients may be allocated in a targeted environment so that the test may be performed on those clients. Additional clients may be allocated along with the minimum number of the clients in the targeted environment to accommodate excess workload.

Abstract: Techniques are described herein that are capable of automatically allocating clients for testing a software program. For instance, a number of the clients that are to be allocated for the testing may be determined based on a workload that is to be imposed by the clients during execution of the testing. For example, the number of the clients may be a minimum number of the clients that is capable of accommodating the workload. In accordance with this example, the minimum number of the clients may be allocated in a targeted environment so that the test may be performed on those clients. Additional clients may be allocated along with the minimum number of the clients in the targeted environment to accommodate excess workload.

Abstract: Verifying a translation middleware piece. A first request is provided to a front end user service using a protocol appropriate for the front end user service, including a translation middleware piece. The translation middleware piece translates requests provided to the front end service to requests for back-end data stores. A first response to the first request to the front end user service is received. A second request is provided to a back-end data store. The second request to the back-end data store is in a format appropriate for the back-end data store and includes elements that should return the same results as the first request to the front end user service. A second response to the second request to the back-end data store is received. Based on the responses, a functional state is determined for at least one of the, front end, the back-end, or the translation middleware piece.

Abstract: To ensure that logs representative of data changes are durably written, localized storage media cache is flushed to force a write to stable storage. Log sequence number tracking is leveraged to determine if log data in a localized storage media cache is likely to have not been written to durable storage. When this condition is likely, a FLUSH_CACHE command is issued to a storage media controller to force a durable write. This allows recovery of data changes to a transactional system even when its associated storage media does not provide write-ordering guarantees. Moreover, flushing of the storage media cache can be accomplished at a frequency that provides an upper bound on a maximum time between a transaction commit and data being made durable.

Abstract: To ensure that logs representative of data changes are durably written, localized storage media cache is flushed to force a write to stable storage. Log sequence number tracking is leveraged to determine if log data in a localized storage media cache is likely to have not been written to durable storage. When this condition is likely, a FLUSH_CACHE command is issued to a storage media controller to force a durable write. This allows recovery of data changes to a transactional system even when its associated storage media does not provide write-ordering guarantees. Moreover, flushing of the storage media cache can be accomplished at a frequency that provides an upper bound on a maximum time between a transaction commit and data being made durable.