公开(公告)号：US10812319B1

公开(公告)日：2020-10-20

申请号：US16535348

申请日：2019-08-08

Applicant: Cisco Technology, Inc.

Inventor： Suresh Prakash ,  Rajneesh Kumar ,  Chandan Abhishek ,  Nidhi Mala ,  Bhuvneshwar Kumar

IPC: G06F15/173 ,  H04L12/24 ,  G06N20/00 ,  G06F11/34

Abstract: In one embodiment, a controller determines one or more objects of a computer application to track, and instructs a monitoring system to track object state changes for the one or more objects during runtime of the computer application. As such, the controller then receives object state change information for the one or more objects tracked by the monitoring system, in addition to receiving application performance metrics related to the computer application during runtime from the monitoring system. The controller may then determine one or more application performance metric change events based on the received application performance metrics. According to the techniques herein, the controller may then correlate one or more particular object state changes of the object state change information with one or more correspondingly affected application performance metric change events, and may perform one or more reactive actions based on the correlating.

公开(公告)号：US12229136B2

公开(公告)日：2025-02-18

申请号：US17826444

申请日：2022-05-27

Applicant: Cisco Technology, Inc.

Inventor： Vikas Nigam ,  Chandan Abhishek ,  Rahul Bandari

IPC: G06F16/2453 ,  G06F16/28

Abstract: In one embodiment, a process: monitors an access pattern of database objects on a user-connection basis; calculates a wait-time metric for database sessions for the objects; classifies a first number of often-used objects and a second number of not-recently-used objects; classifies the wait-time metric for the database sessions as a wait-time classification that is one of either: an acceptable wait-time metric, a warning-level wait-time metric, or a critical-level wait-time metric; and generates a graphical interface that indicates, for each user-connection pairing of the particular database, an associated wait-time metric and a graphical indication of an associated wait-time classification, as well as an associated first number of often-used objects and an associated second number of not-recently-used objects.