IP Library › Granted Patent US 12,348,583
Granted Patent B2
US 12,348,583 · App. 18/349,293 · Granted Jul 1, 2025

Replication utilizing cloud-based storage systems

Inventors: Aswin Karumbunathan (San Francisco, CA); John Colgrove (Los Altos, CA); Constantine Sapuntzakis (Palo Alto, CA); Joshua Freilich (San Francisco, CA); Naveen Neelakantam (Mountain View, CA); Sergey Zhuravlev (Bothell, WA); Ronald Karr (Palo Alto, CA)
Assignee: PURE STORAGE, INC.
H04L67/1097
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Quick Facts
Patent No.
US 12,348,583
App. No.
18/349,293
Filed
Jul 10, 2023
Granted
Jul 1, 2025
Kind
B2
Art Unit
2168
USPC
709/219
Abstract

Synchronously replicating a dataset across cloud-based storage systems, including adding a cloud-based storage system to a set of storage systems that the dataset is synchronously replicated across, where access operations are applied to the dataset equivalently through all storage systems in the set, all storage systems in the set store a separate copy of the dataset, and operations to modify the dataset performed and completed through any of the storage systems in the set are reflected in access operations to read the dataset, the cloud-based storage system including one or more cloud computing instances executing a storage controller application, a virtual drive layer that includes one or more cloud computing instances with local storage for storing at least a portion of the dataset as block data, and an object storage layer for storing at least a portion of the dataset as object data.

Claims (56)

1. A storage system comprising:

a cloud-based storage system; and

a processing device, operatively coupled to the cloud-based storage system, configured to:

attach the cloud-based storage system to a set of storage systems that a dataset is replicated across, the set of storage systems including one or more of hardware-based storage systems and cloud-based storage systems, wherein the cloud-based storage system includes cloud computing instances executing a storage controller application, a virtual drive layer that includes one or more cloud computing instances with block-based local storage for storing at least a portion of the dataset as block data, and an object-based storage layer for storing at least a portion of the dataset as object data, wherein the one or more cloud computing instances of the virtual drive layer emulate operation of a physical storage device with block-based local storage and receive instructions from the storage controller application to perform data management operations at the block-based local storage and the object-based storage layer; and

maintain the dataset on the cloud-based storage system based on a determination of whether the cloud-based storage system should continue to replicate the dataset after a communications disruption with one or more of the set of storage systems.

2. The storage system of claim 1 , wherein the processing device is further configured to:

receive a request to read a portion of the dataset; and

process the request to read the portion of the dataset locally.

3. The storage system of claim 1 , wherein the processing device is further configured to:

detect a disruption in data communications with one or more of the hardware-based storage systems or cloud-based storage systems;

determine whether the cloud-based storage system should continue to synchronously replicate the dataset;

responsive to determining that the cloud-based storage system should continue to synchronously replicate the dataset, keep the dataset on the cloud-based storage system accessible for management and dataset operations; and

responsive to determining that the cloud-based storage system should not continue to synchronously replicate the dataset, make the dataset on the cloud-based storage system inaccessible for management and dataset operations.

4. The storage system of claim 1 , wherein the dataset is synchronously replicated across the set of storage systems.

5. The storage system of claim 1 , wherein the dataset is asynchronously replicated across the set of storage systems.

6. The storage system of claim 1 , wherein the dataset is replicated across the set of storage systems using snapshot-based replication.

7. The storage system of claim 1 , wherein the processing device is further configured to:

identify a target storage system for asynchronously receiving the dataset, wherein the target storage system is not one of the hardware-based storage systems or the cloud-based storage systems across which the dataset is synchronously replicated;

identify a portion of the dataset that is not being asynchronously replicated to the target storage system by any of the hardware-based storage systems or the cloud-based storage systems; and

asynchronously replicate, to the target storage system, the portion of the dataset that is not being asynchronously replicated to the target storage system by any of the hardware-based storage systems or the cloud-based storage systems, wherein two or more storage systems of the hardware-based storage systems or the cloud-based storage systems collectively replicate the entire dataset to the target storage system.

8. The storage system of claim 1 , wherein the processing device is further to:

receive, by the storage system, a request to write data to the storage system;

store, in solid-state storage of the cloud-based storage system, the data; and

store, in object-storage of the cloud-based storage system, the data.

9. The storage system of claim 8 , wherein to store, in solid-state storage of the cloud-based storage system, the data the processing device is further configured to:

store, in local storage of one or more cloud computing instances, the data.

10. The storage system of claim 8 , wherein to store, in object-storage of the cloud-based storage system, the data the processing device is further configured to:

create one or more equal sized objects, wherein each equal sized object includes a distinct chunk of the data.

11. A method comprising:

attaching a cloud-based storage system to a set of storage systems that a dataset is replicated across, the set of storage systems including one or more of hardware-based storage systems and cloud-based storage systems, wherein the cloud-based storage system includes cloud computing instances executing a storage controller application, a virtual drive layer that includes one or more cloud computing instances with block-based local storage for storing at least a portion of the dataset as block data, and an object-based storage layer for storing at least a portion of the dataset as object data, wherein the one or more cloud computing instances of the virtual drive layer emulate operation of a physical storage device with block-based local storage and receive instructions from the storage controller application to perform data management operations at the block-based local storage and the object-based storage layer; and

maintaining the dataset on the cloud-based storage system based on a determination of whether the cloud-based storage system should continue to replicate the dataset after a communications disruption with one or more of the set of storage systems.

12. The method of claim 11 , further comprising:

receiving a request to read a portion of the dataset; and

processing the request to read the portion of the dataset locally.

13. The method of claim 11 , further comprising:

detecting a disruption in data communications with one or more of the hardware-based storage systems or cloud-based storage systems;

determining whether the cloud-based storage system should continue to synchronously replicate the dataset;

responsive to determining that the cloud-based storage system should continue to synchronously replicate the dataset, keeping the dataset on the cloud-based storage system accessible for management and dataset operations; and

responsive to determining that the cloud-based storage system should not continue to synchronously replicate the dataset, making the dataset on the cloud-based storage system inaccessible for management and dataset operations.

14. The method of claim 13 , further comprising:

detecting that the disruption in data communications with one or more of the other hardware-based storage systems or cloud-based storage systems has been repaired; and

making the dataset on the storage system accessible for management and dataset operations.

15. The method of claim 11 , further comprising:

identifying a target storage system for asynchronously receiving the dataset, wherein the target storage system is not one of the hardware-based storage systems or the cloud-based storage systems across which the dataset is synchronously replicated;

identifying a portion of the dataset that is not being asynchronously replicated to the target storage system by any of the other hardware-based storage systems or the cloud-based storage systems; and

asynchronously replicating, to the target storage system, the portion of the dataset that is not being asynchronously replicated to the target storage system by any of the other hardware-based storage systems or the cloud-based storage systems, wherein two or more storage systems of the hardware-based storage systems or the cloud-based storage systems collectively replicate the entire dataset to the target storage system.

16. The method of claim 11 , wherein the method further comprises:

receiving, by the cloud-based storage system, a request to write data to the cloud-based storage system;

storing, in solid-state storage of the cloud-based storage system, the data; and

storing, in object-storage of the cloud-based storage system, the data.

17. The method of claim 16 , wherein storing, in solid-state storage of the cloud-based storage system, the data further comprises storing, in local storage of one or more cloud computing instances, the data.

18. The method of claim 16 , wherein storing, in object-storage of the cloud-based storage system, the data further comprises creating one or more equal sized objects, wherein each equal sized object includes a distinct chunk of the data.

19. A non-transitory computer readable storage medium having instructions stored thereon, that when executed by a processing device, cause the processing device to:

attach a cloud-based storage system to a set of storage systems that a dataset is replicated across, the set of storage systems including one or more of hardware-based storage systems and cloud-based storage systems, wherein the cloud-based storage system includes cloud computing instances executing a storage controller application, a virtual drive layer that includes one or more cloud computing instances with block-based local storage for storing at least a portion of the dataset as block data, and an object-based storage layer for storing at least a portion of the dataset as object data, wherein the one or more cloud computing instances of the virtual drive layer emulate operation of a physical storage device with block-based local storage and receive instructions from the storage controller application to perform data management operations at the block-based local storage and the object-based storage layer; and

maintain the dataset on the cloud-based storage system based on a determination of whether the cloud-based storage system should continue to replicate the dataset after a communications disruption with one or more of the set of storage systems.

20. The storage system of claim 1 , wherein the cloud computing instances that execute the storage controller application are configured to initiate storage of data in the local storage of the one or more cloud computing instances with block-based local storage.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 24, 2023
From: KARUMBUNATHAN, ASWIN; COLGROVE, JOHN; SAPUNTZAKIS, CONSTANTINE; FREILICH, JOSHUA; NEELAKANTAM, NAVEEN; ZHURAVLEV, SERGEY; KARR, RONALD
To: PURE STORAGE, INC.
Reel/Frame 064355/0925 →
Continuity (10)
Continuation 17388670 · Jul 29, 2021
Continuation 16372620 · Apr 2, 2019
Continuation In Part 15842850 · Dec 14, 2017
Provisional Application 62769277 · Nov 19, 2018
Provisional Application 62768952 · Nov 18, 2018
Provisional Application 62598989 · Dec 14, 2017
Provisional Application 62518071 · Jun 12, 2017
Provisional Application 62502060 · May 5, 2017
Provisional Application 62470172 · Mar 10, 2017
Related Publication 20230353635A1 · Nov 2, 2023
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