TECHNIQUES FOR DETERMINING CLIENT-SIDE EFFECTS OF SERVER-SIDE BEHAVIOR USING CANARY ANALYSIS
Patent №
US 11,616,719
Granted
2023-03-28
Filed 2015
Owner
NETFLIX, INC
Lab
—
AI components
2
kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14922101
In one embodiment of the present invention, a sticky canary router routes each request associated with a service to either a canary cluster of servers that implement a modification to the service or a baseline cluster of servers that do not implement the modification. The sticky canary router implements a mapping algorithm that determines the routing of each request based on a current time, a time window for the routing, and a characteristic of the request. Notably, the mapping algorithm may be implemented such that, for time segments with duration equal to the time window, the sticky canary router routes all requests received from a particular device in a consistent fashion—either to the canary cluster or to a baseline cluster. Configured thusly, the sticky canary router enables the analysis of approximately full sections of client interactions with the canary servers, thereby facilitating identification of client-side effects of the changes.
AI classification
Ownership
NETFLIX, INC
assignment · 368730818
Assignors
COHEN, MICHAEL LLOYD
On an employer assignment, the assignors are typically the inventors.