-
公开(公告)号:US20190065985A1
公开(公告)日:2019-02-28
申请号:US15684796
申请日:2017-08-23
Applicant: SAP SE
Inventor: Helmut Fieres , Jean-Pierre Djamdji , Klaus Dickgiesser , Olena Kushakovska , Venkatesh R
Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.
-
公开(公告)号:US20190065342A1
公开(公告)日:2019-02-28
申请号:US15686751
申请日:2017-08-25
Applicant: SAP SE
Inventor: Klaus Dickgiesser , Andreas Loebel
Abstract: A method may include generating a first tracking object corresponding to at least one change to a software product. The at least one change may be a part of a first update to the software product. The at least one change may have an implementation that requires a completion of a task associated with a second tracking object at another system. The second tracking object may be configured to at least determine when the task is complete. An indication that the task is complete may be received from the second tracking object. In response to receiving the indication, the first tracking object may test the at least one change. In response to the at least one change failing to pass the testing, the second tracking object may be added to a third tracking object associated with a second update to the software product.
-
公开(公告)号:US11106996B2
公开(公告)日:2021-08-31
申请号:US15684796
申请日:2017-08-23
Applicant: SAP SE
Inventor: Helmut Fieres , Jean-Pierre Djamdji , Klaus Dickgiesser , Olena Kushakovska , Venkatesh R
Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.
-
4.
公开(公告)号:US12028229B2
公开(公告)日:2024-07-02
申请号:US17955925
申请日:2022-09-29
Applicant: SAP SE
Inventor: Klaus Dickgiesser , Ebru Polat , Andreas Loebel , Thomas Stein , Sundaresan Krishnamurthy , Wieland Schreiner
IPC: H04L43/0817 , G06F8/41 , H04L41/0654 , H04L67/51
CPC classification number: H04L43/0817 , G06F8/433 , H04L41/0654 , H04L67/51
Abstract: Various aspects relate to a distributed software application. A distributed software application is a software application that is distributed among multiple microservices. The different microservices are different processes that communicate with each other not as a monolithic software application by directly invoking each other's APIs within a single executable process, but using a different communication mechanism, e.g., by using a message passing functionality such as a message bus, a message queue, or a service mesh. In addition to internally communicating with each other and consuming each other's functionality, the microservices may also consume functionality provided by reuse services external to the software application. Such reuse services may be used by multiple software applications and can include, e.g., a logging service, a database service, and/or a storage service, and the like.
-
5.
公开(公告)号:US20230198877A1
公开(公告)日:2023-06-22
申请号:US17955925
申请日:2022-09-29
Applicant: SAP SE
Inventor: Klaus Dickgiesser , Ebru Polat , Andreas Loebel , Thomas Stein , Sundaresan Krishnamurthy , Wieland Schreiner
IPC: H04L43/0817 , H04L41/0654 , H04L67/51 , G06F8/41
CPC classification number: H04L43/0817 , H04L41/0654 , H04L67/51 , G06F8/433
Abstract: Various aspects relate to a distributed software application. A distributed software application is a software application that is distributed among multiple microservices. The different microservices are different processes that communicate with each other not as a monolithic software application by directly invoking each other's APIs within a single executable process, but using a different communication mechanism, e.g., by using a message passing functionality such as a message bus, a message queue, or a service mesh. In addition to internally communicating with each other and consuming each other's functionality, the microservices may also consume functionality provided by reuse services external to the software application. Such reuse services may be used by multiple software applications and can include, e.g., a logging service, a database service, and/or a storage service, and the like.
-
-
-
-