公开(公告)号：US10901813B2

公开(公告)日：2021-01-26

申请号：US16254165

申请日：2019-01-22

申请人： salesforce.com, inc.

发明人： Ignacio Agustin Manzano ,  Agustin Lopez Gabeiras ,  Leandro Damián Lück ,  Gaston Alberto Lodieu ,  Diego Gabriel Larralde ,  Jiang Wu ,  Andrew Craig Bragdon

IPC分类号： G06F3/00 ,  G06F9/54

摘要： Disclosed herein are system, method, and computer program product embodiments for providing clustering and monitoring functionality. An embodiment operates by determining that an application programming interface (API) call has been made from a first application to a second application. Metric data regarding a performance of one or more computing devices responsive to the determined API call is received. The received metric data associated with the determined API call is clustered into one of a plurality of predetermined clusters associated with the performance of the one or more computing devices responsive to one or more previous API calls. A notification indicating a system state of the one or more computing devices is determined based on the clustering, and provided.

公开(公告)号：US11249889B2

公开(公告)日：2022-02-15

申请号：US16254193

申请日：2019-01-22

申请人： salesforce.com, inc.

发明人： Ignacio Agustin Manzano ,  Agustin Lopez Gabeiras ,  Leandro Damián Lück ,  Gaston Alberto Lodieu ,  Diego Gabriel Larralde ,  Jiang Wu ,  Andrew Craig Bragdon

IPC分类号： G06F11/00 ,  G06F11/36

摘要： Disclosed herein are system, method, and computer program product embodiments for providing anomaly feedback monitoring and detection. An embodiment operates by determining a first set of data corresponding to an anomaly indicating an undesirable data state for a first application. A subset of data from a second set of data corresponding to the undesirable data state is identified, wherein the second set of data is associated with communications between the first application and a second application. A notification identifying the anomaly is provided. Feedback associated with the anomaly is received. Data corresponding to the anomaly is updated based on the feedback.

公开(公告)号：US20200233728A1

公开(公告)日：2020-07-23

申请号：US16254165

申请日：2019-01-22

申请人： salesforce.com, inc.

发明人： Ignacio Agustin Manzano ,  Agustin Lopez Gabeiras ,  Leandro Damián Lück ,  Gaston Alberto Lodieu ,  Diego Gabriel Larralde ,  Jiang Wu ,  Andrew Craig Bragdon

IPC分类号： G06F9/54

摘要： Disclosed herein are system, method, and computer program product embodiments for providing clustering and monitoring functionality. An embodiment operates by determining that an application programming interface (API) call has been made from a first application to a second application. Metric data regarding a performance of one or more computing devices responsive to the determined API call is received. The received metric data associated with the determined API call is clustered into one of a plurality of predetermined clusters associated with the performance of the one or more computing devices responsive to one or more previous API calls. A notification indicating a system state of the one or more computing devices is determined based on the clustering, and provided.

公开(公告)号：US20200233791A1

公开(公告)日：2020-07-23

申请号：US16254193

申请日：2019-01-22

申请人： salesforce.com, inc.

发明人： Ignacio Agustin Manzano ,  Agustin Lopez Gabeiras ,  Leandro Damián Lück ,  Gaston Alberto Lodieu ,  Diego Gabriel Larralde ,  Jiang Wu ,  Andrew Craig Bragdon

IPC分类号： G06F11/36

摘要： Disclosed herein are system, method, and computer program product embodiments for providing anomaly feedback monitoring and detection. An embodiment operates by determining a first set of data corresponding to an anomaly indicating an undesirable data state for a first application. A subset of data from a second set of data corresponding to the undesirable data state is identified, wherein the second set of data is associated with communications between the first application and a second application. A notification identifying the anomaly is provided. Feedback associated with the anomaly is received. Data corresponding to the anomaly is updated based on the feedback.