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.

Knowledge representationAI hardwareG06F 11/368G06F 8/65H04L 45/42H04L 67/1014

AI classification

Knowledge representation0.90
AI hardware0.81
Planning0.10
Vision0.03
Natural language0.00
Evolutionary computation0.00
Machine learning0.00
Speech0.00

Ownership

NETFLIX, INC

assignment · 368730818

Assignors

COHEN, MICHAEL LLOYD

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC