公开(公告)号：US20220197763A1

公开(公告)日：2022-06-23

申请号：US17669076

申请日：2022-02-10

Applicant: PURE STORAGE, INC.

Inventor： IVAN JIBAJA ,  CURTIS PULLEN ,  PRASHANT JAIKUMAR ,  STEFAN DORSETT ,  GAURAV JAIN ,  NEIL VACHHARAJANI ,  SRINIVAS CHELLAPPA

IPC: G06F11/20

Abstract: Providing for high availability in a data analytics pipeline without replicas, including: creating a data analytics pipeline, wherein each component of the data analytics pipeline is deployed within a container; creating a failover container; detecting that a component within the data analytics pipeline has failed; and responsive to detecting that the component within the data analytics pipeline has failed, deploying the component within the data analytics pipeline that has failed in the failover container.

公开(公告)号：US20250047663A1

公开(公告)日：2025-02-06

申请号：US18923309

申请日：2024-10-22

Applicant: PURE STORAGE, INC.

Inventor： TIMOTHY BRENNAN ,  IVAN JIBAJA ,  NAVEEN NEELAKANTAM ,  AMARESH PATTANAIK ,  AAKASH BIST ,  GAURAV JAIN ,  SHIVA ANKAM

IPC: H04L9/40 ,  H04L67/1097 ,  H04L67/141

Abstract: Leveraging a large language model (‘LLM’) for managing a fleet of storage systems, including: receiving, by a fleet management service, data describing states of a plurality of storage systems in a fleet of storage systems; requesting, by the fleet management service and from a large language model (LLM), a fleet management recommendation based on the data; and receiving, by the fleet management service and from the LLM, a fleet management recommendation for the fleet of storage systems.

公开(公告)号：US20230376390A1

公开(公告)日：2023-11-23

申请号：US18362811

申请日：2023-07-31

Applicant: PURE STORAGE, INC.

Inventor： IVAN JIBAJA ,  CURTIS PULLEN ,  PRASHANT JAIKUMAR ,  STEFAN DORSETT ,  GAURAV JAIN ,  NEIL VACHHARAJANI ,  SRINIVAS CHELLAPPA

IPC: G06F11/20

CPC classification number: G06F11/2023 ,  G06F11/2094 ,  G06F2201/85

Abstract: Creating a containerized data analytics pipeline, including: creating a data analytics pipeline having a component that is deployed within a container that executes in a container cluster that is external to shared storage accessible by components of the data analytics pipeline; and responsive to detecting that a component of the data analytics pipeline has failed, deploying another instance of the component in a failover container that is configured to support one or more components of the data analytics pipeline.