US 11,894,984 B2
Configuring cloud deployments based on learnings obtained by monitoring other cloud deployments
Úlfar Erlingsson, Palo Alto, CA (US); and Yijou Chen, Cupertino, CA (US)
Assigned to LACEWORK, INC., Mountain View, CA (US)
Filed by LACEWORK, INC., San Jose, CA (US)
Filed on Feb. 14, 2022, as Appl. No. 17/671,056.
Application 17/671,056 is a continuation in part of application No. 17/504,311, filed on Oct. 18, 2021.
Application 17/504,311 is a continuation of application No. 16/665,961, filed on Oct. 28, 2019, granted, now 11,153,339, issued on Oct. 19, 2021.
Application 16/665,961 is a continuation of application No. 16/134,794, filed on Sep. 18, 2018, granted, now 10,581,891, issued on Mar. 3, 2020.
Claims priority of provisional application 63/243,013, filed on Sep. 10, 2021.
Claims priority of provisional application 62/650,971, filed on Mar. 30, 2018.
Claims priority of provisional application 62/590,986, filed on Nov. 27, 2017.
Prior Publication US 2022/0200869 A1, Jun. 23, 2022
Int. Cl. H04L 67/10 (2022.01); H04L 9/40 (2022.01); H04L 41/14 (2022.01)
CPC H04L 41/145 (2013.01) [H04L 67/10 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of configuring cloud deployments based on learnings obtained by monitoring other cloud deployments, the method comprising:
determining normal behavior for one or more components in a first cloud deployment;
determining normal behavior for one or more components in one or more other cloud deployments;
identifying, from the other cloud deployments, one or more highly rated cloud deployments, wherein a rating of the one or more other cloud deployments is based on one or more of: a detected number of vulnerabilities in a period of time, a detected number of outages in the period of time, or a detected number of regulatory violations in the period of time; and
recommending, based on the normal behavior for one or more components in one or more other cloud deployments, a change to the first cloud deployment, wherein recommending the change to the first cloud deployment is based on normal behavior for the highly rated cloud deployments and independent of normal behavior for cloud deployments other than the highly rated cloud deployments.