Abstract: Provided are techniques for using binaries of container images as operating system commands. Metadata describing one or more binaries for a container image is received, where each of the one or more binaries has an associated operating system command. The one or more binaries are integrated with the container image by placing the one or more binaries into the container image. Each operating system command is injected into an operating system by adding each operating system command to a command file accessed by the operating system. In response to receiving an operating system command associated with a binary of the one or more binaries, the container image is pulled using the metadata, the container image is executed with the one or more binaries, and a result is returned.

Abstract: The systems and methods provided herein provide techniques for discovering applications installed in a cluster-based computing environment. A catalog of signatures is obtained. One or more clusters are scanned to obtain information about configuration parameters in the one or more clusters. The catalog of signatures is compared with the information from scanning comprising configuration parameters to identify software applications installed on a per-cluster basis.

Abstract: Provided are techniques for using binaries of container images as operating system commands. Metadata describing one or more binaries for a container image is received, where each of the one or more binaries has an associated operating system command. The one or more binaries are integrated with the container image by placing the one or more binaries into the container image. Each operating system command is injected into an operating system by adding each operating system command to a command file accessed by the operating system. In response to receiving an operating system command associated with a binary of the one or more binaries, the container image is pulled using the metadata, the container image is executed with the one or more binaries, and a result is returned.

Abstract: The systems and methods provided herein provide techniques for discovering applications installed in a cluster-based computing environment. A catalog of signatures is obtained. One or more clusters are scanned to obtain information about configuration parameters in the one or more clusters. The catalog of signatures is compared with the information from scanning comprising configuration parameters to identify software applications installed on a per-cluster basis.

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).

Abstract: The invention relates to a computer-implemented method for limiting the number of concurrent requests in a database system including the following steps: arranging requests to be handled by the database system in at least one queue; defining a maximum value (SS) of concurrent requests corresponding to the at least one queue; monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter, adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance and limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS).