公开(公告)号：US09755900B2

公开(公告)日：2017-09-05

申请号：US13794660

申请日：2013-03-11

Applicant: Amazon Technologies, Inc.

Inventor： Shivaraj Tenginakai ,  Rachit Chawla ,  Colin John Whittaker ,  Rajkumar Haridoss ,  Raghavendra Vijayanarasimhan Narasimhan

IPC: G06F15/177 ,  H04L12/24

CPC classification number: H04L41/082 ,  H04L41/0869 ,  H04L41/0889

Abstract: Approaches are described for managing configuration information updates, or other information in a data center, shared resource environment, or other such electronic environment. A management component is provided that can manage distribution of configuration information, operating system (OS) images, authentication data, or other such information for host machines, servers, or other such devices in a network environment. The management component can further perform a number of actions when deploying configuration information updates, such as performing one or more checks to verify the health of a target switch, deactivating the target switch, shifting traffic to and from the target switch, updating a current configuration of the target switch, verifying the target switch's health after the configuration changes, bringing the target switch back in service, among others.

公开(公告)号：US12223080B1

公开(公告)日：2025-02-11

申请号：US18070086

申请日：2022-11-28

Applicant: Amazon Technologies, Inc.

Inventor： Amjad Al-Rikabi ,  Stephen Michael Ash ,  William Michael Siler ,  Rajkumar Haridoss ,  Rajesh Patel ,  Kushal Yelamali

IPC: G06F16/00 ,  G06F16/242 ,  G06F16/2455 ,  G06F21/62 ,  G06F16/13

Abstract: This disclosure describes a natural language question (NLQ) query service within a service provider network that provides row level security (RLS) for autocomplete during entry of NLQs and fuzzy matching in NLQ answering. The rules take the form of per-user predicates such as Tim can only see rows with region=US. In configurations a complex extraction and preprocessing pipeline to extract distinct combinations of values against RLS predicate “rule keys” is used. Those distinct values are indexed along with grouped rule keys to enable pushing down predicates at auto-complete time. This enables pushing part of RLS rule handling to ingestion time of a dataset rather than handling all RLS rule handling at query time, enabling meeting of latency goals. In configurations, a single logical document of unique cell values is split into multiple documents with a subset of rule keys to handle scalability limits.