公开(公告)号：US09864666B2

公开(公告)日：2018-01-09

申请号：US14691538

申请日：2015-04-20

Applicant: NETFLIX, INC.

Inventor： Ariel Tseitlin ,  Praveen Sadhu ,  Sudhir Tonse ,  Pradeep Kamath

IPC: G06F15/16 ,  G06F11/263 ,  H04L29/08 ,  G06F11/36 ,  G06F11/22

CPC classification number: G06F11/263 ,  G06F11/2205 ,  G06F11/36 ,  H04L29/08072

Abstract: Techniques are disclosed for validating the resiliency of a networked application made available using a distributed computing infrastructure. In one embodiment, a latency monitoring application observes each active application component and at specified or unspecified intervals, selects one and introduces latency or error messages in one or more messages emanating from the selected active application component. The latency monitoring application then measures the effect of the latency or error messages on other active application components that are dependent on the affected active application component. By observing the effects of the failed server on the rest of the network application, a provider can ensure that each component can tolerate any unexpected latency or error conditions with the distributed computing infrastructure.

公开(公告)号：US10754830B2

公开(公告)日：2020-08-25

申请号：US14454632

申请日：2014-08-07

Applicant: NETFLIX, INC.

Inventor： Airan Landau ,  Sudhir Tonse

IPC: G06F16/21 ,  G06F16/951

Abstract: Techniques for activity information schema discovery, schema change detection, and notification. In one embodiment, for example, a computer-implemented method for activity information schema discovery and schema change detection and notification comprises: analyzing a first set of related activity messages obtained during a first sample period; determining first schema counters for uniquely named properties identified in the first set of messages based on the analyzing of the first set of activity messages; after the first sample period, inferring a first schema from the first schema counters; analyzing a second set of related activity messages obtained during a second sample period; determining second schema counters for uniquely named properties identified in the second set of messages based on the analyzing of the second set of activity messages; after the second sample period, inferring a second schema from the second schema counters; comparing the first schema and the second schema for any differences.