公开(公告)号：US10355950B2

公开(公告)日：2019-07-16

申请号：US15650810

申请日：2017-07-14

Applicant: NETFLIX, INC.

Inventor： Ariel Tseitlin ,  Joseph Sondow

IPC: G06F15/173 ,  H04L12/26 ,  H04L12/24 ,  H04L29/08 ,  G06F11/36

Abstract: A data processing method, comprising: using computing apparatus, causing instantiating a plurality of baseline application instances that are running a first version of software, and one or more canary application instances that are running a second version of the software; using computing apparatus including a load balancer, causing selectively routing a first proportion of incoming requests to the baseline instances, and routing a second proportion of the incoming requests to the canary instances; monitoring the plurality of canary instances to collect performance data for performance metrics; determining that the performance data indicates a negative performance issue, and in response thereto: using computing apparatus, automatically updating the first proportion to be larger and updating the second proportion to be smaller, and then reconfiguring the load balancer based upon the first proportion and the second proportion; terminating one or more of the canary application instances.

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：US20140281739A1

公开(公告)日：2014-09-18

申请号：US13826942

申请日：2013-03-14

Applicant: NETFLIX, INC.

Inventor： Philip Simon Tuffs ,  Roy Rapoport ,  Ariel Tseitlin

IPC: G06F11/34

CPC classification number: G06F11/3452 ,  G06F11/0709 ,  G06F11/079 ,  G06F11/3409 ,  G06F11/3495

Abstract: Techniques are described for identifying a root cause of a pattern of performance data in a system including a plurality of services. Embodiments provide dependency information for each of the plurality of services, where at least one of the plurality of services is dependent upon a first one of the plurality of services. Each of the plurality of services is monitored to collect performance data for the respective service. Embodiments further analyze the performance data to identify a cluster of services that each follow a pattern of performance data. The first one of the services in the cluster of services is determined to be a root cause of the pattern of performance data, based on the determined dependency information for each of the plurality of services.

Abstract translation: 描述了用于识别包括多个服务的系统中的性能数据模式的根本原因的技术。 实施例为多个服务中的每一个提供依赖信息，其中多个服务中的至少一个服务依赖于多个服务中的第一个服务。 监视多个服务中的每一个以收集相应服务的性能数据。 实施例进一步分析性能数据，以识别每个遵循性能数据模式的服务集群。 基于针对多个服务中的每一个确定的依赖性信息，将服务集群中的服务中的第一个服务确定为性能数据模式的根本原因。