公开(公告)号：US20210406148A1

公开(公告)日：2021-12-30

申请号：US16917238

申请日：2020-06-30

Applicant: salesforce.com, inc.

Inventor： Ana Bertran ,  Yuriy Loukachev ,  Xiaohong Huang ,  Nicholas Murray ,  Nicholas Roan ,  Lauren Valdivia ,  Anish Kanchan ,  Kyle Gilson

IPC: G06F11/34 ,  G06F9/50 ,  G06F11/07 ,  G06F11/32

Abstract: System and methods are described for anomaly detection and root cause analysis in database systems, such as multi-tenant environments. In one implementation, a method comprises receiving an activity signal representative of resource utilization within a multi-tenant environment; detecting a plurality of anomalies in the activity signal; computing a priority score for each of the plurality of anomalies; correlating at least a subset of the plurality of anomalies to one or more performance metrics of the multi-tenant environment; and transmitting a remediation signal to one or more devices in the multi-tenant environment based on the correlations and the priority scores.

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：US12086016B2

公开(公告)日：2024-09-10

申请号：US16917238

申请日：2020-06-30

Applicant: salesforce.com, inc.

Inventor： Ana Bertran ,  Yuriy Loukachev ,  Xiaohong Huang ,  Nicholas Murray ,  Nicholas Roan ,  Lauren Valdivia ,  Anish Kanchan ,  Kyle Gilson

IPC: G06F11/00 ,  G06F9/50 ,  G06F11/07 ,  G06F11/30 ,  G06F11/32 ,  G06F11/34

CPC classification number: G06F11/0709 ,  G06F9/505 ,  G06F9/5083 ,  G06F11/079 ,  G06F11/3006 ,  G06F11/323 ,  G06F11/328 ,  G06F11/3433 ,  G06F11/3452 ,  G06F11/3466 ,  G06F11/0712 ,  G06F11/0793 ,  G06F2201/81

Abstract: System and methods are described for anomaly detection and root cause analysis in database systems, such as multi-tenant environments. In one implementation, a method comprises receiving an activity signal representative of resource utilization within a multi-tenant environment; detecting a plurality of anomalies in the activity signal; computing a priority score for each of the plurality of anomalies; correlating at least a subset of the plurality of anomalies to one or more performance metrics of the multi-tenant environment; and transmitting a remediation signal to one or more devices in the multi-tenant environment based on the correlations and the priority scores.