公开(公告)号：US11088925B2

公开(公告)日：2021-08-10

申请号：US15876548

申请日：2018-01-22

Applicant: salesforce.com, inc.

Inventor： Ana Bertran ,  Carl Morgenstern ,  Daisuke Kawamoto ,  Nicholas Roan ,  Steve Bobrowski ,  Sudhish Iyer ,  Chin Lee ,  Kunal Vashi ,  Zahid Rahman

IPC: G06F16/20 ,  H04L12/24 ,  G06F16/25 ,  G06F16/28

Abstract: Multitier, multitenant architecture of pods comprise multiple stacks with different metrics and workload compositions that constantly change over time. A computer system may identify an overall pod time-to-live (TTL) based on the changing metrics and workloads. The TTL may be a forecasted time that pod remediation is needed to avoid negative impact on pod performance and customer experience. Additionally, the computer system may identify the appropriate remediation(s) for each pod. The computer system may compare and prioritize remediations across a collection of pods with different configurations and workload characteristics based on the TTLs. Other embodiments may be described and/or claimed.

公开(公告)号：US11055162B2

公开(公告)日：2021-07-06

申请号：US16176872

申请日：2018-10-31

Applicant: salesforce.com, inc.

Inventor： Dmitry Volkov ,  Daisuke Kawamoto ,  Ana Bertran ,  Lauren Valdivia ,  Sudhish Iyer ,  Xiaohong Huang

IPC: G06F11/07 ,  G06F9/06 ,  G06F11/30

Abstract: Among other things, embodiments of the present disclosure relate to detecting performance degradation in database systems. For example, some embodiments of the present disclosure help to identify events associated with anomalous database system parameter states and assess the severity of such anomalous events. Other embodiments may be described and/or claimed.

公开(公告)号：US11037085B2

公开(公告)日：2021-06-15

申请号：US16262820

申请日：2019-01-30

Applicant: salesforce.com, inc.

Inventor： Daisuke Kawamoto ,  Dmitry Volkov ,  Carl Morgenstern

IPC: G06Q10/06 ,  G06Q30/02 ,  H04L29/08

Abstract: System and methods are described for deriving normalized infrastructure metrics to represent customer experience of a cloud computing system, continuously evaluating a profile for a tenant of the cloud computing system and determining a customer experience indicator for the tenant in real-time or near real-time, without losing accuracy, based at least in part on the infrastructure metrics and the profile.