Virtual persistent volumes for containerized applications

Patent metadata

Field	Value
Publication number	US-2021109683-A1
Application number	US-201916653375-A
Country	US
Kind code	A1
Filing date	Oct 15, 2019
Priority date	Oct 15, 2019
Publication date	Apr 15, 2021
Grant date	—

Abstract

Example implementations relate to virtual persistent volumes for containerized applications. In an example, a plurality of different storage mounts are acquired from a mix of storage types. A containerized storage virtualization system creates and manages a virtual persistent volume that aggregates the acquired storage mounts. A mount point of the virtual persistent volume is provided to the containerized application. The virtual persistent volume includes a hierarchical structure that relates data objects of the containerized application by content-based signatures to a root object.

First claim

What is claimed:

1 . A non-transitory machine readable medium storing instructions executable by a processing resource, the non-transitory machine readable medium comprising:
instructions to instantiate a containerized storage virtualization system that manages data in hash trees; instructions to receive a request for storage from a containerized application; instructions to acquire, in accordance with the request, a plurality of different storage mounts from a mix of storage types; instructions to create a virtual persistent volume that is managed by the containerized storage virtualization system and that aggregates the plurality of different storage mounts, wherein the virtual persistent volume includes a hash tree that relates data objects of the containerized application by content-based signatures to a root object; and instructions to provide, via the containerized storage virtualization system, a mount point of the virtual persistent volume to the containerized application.

2 . The non-transitory machine readable medium of claim 1 , wherein the mix of storage types includes different ones of local storage types, different ones of remote storage types, or a combination of at least one of the local storage types and at least one of the remote storage types.

3 . The non-transitory machine readable medium of claim 2 , wherein the local storage types include locally attached physical storage, a local file system, or local virtualized storage; and
the remote storage types include a remote file system, a remote block storage system, cloud storage, or remote virtualized storage.

4 . The non-transitory machine readable medium of claim 1 , wherein the instructions to acquire include instructions to utilize a standardized container storage interface to provision at least some of the mix of storage types and to receive at least some of the plurality of different storage mounts.

5 . The non-transitory machine readable medium of claim 1 , wherein the containerized storage virtualization system maintains a deduplicated object store that stores the data objects of the virtual persistent volume.

6 . The non-transitory machine readable medium of claim 1 , further comprising instructions to perform a data service with the virtual persistent volume irrespective of the different storage mounts and without modifying the mount point.

7 . The non-transitory machine readable medium of claim 6 . wherein the data service includes migration, tiering, snapshot-based backups, replication, and redundancy-based data protection.

8 . The non-transitory machine readable medium of claim 1 , wherein the mount point of the virtual persistent volume is selected from among storage access abstractions available to the instructions to provide including a file system mount point, a block device mount point, and a key/value store mount point.

9 . A method comprising:
receiving, by a storage virtualization system, a request for storage from a containerized application; acquiring, by the storage virtualization system and in accordance with the request, a plurality of different storage mounts from local and remote storage types; creating, by the storage virtualization system, a virtual persistent volume that aggregates the plurality of different storage mounts, wherein the virtual persistent volume includes a hierarchical structure that relates data objects of the containerized application by content-based signatures to a root object; and providing, by the storage virtualization system, a mount point of the virtual persistent volume to the containerized application.

10 . The method of claim 9 , wherein the local and remote storage types include:
a locally attached physical storage or a local file system; and a remote file system, a remote block storage system, or cloud storage.

11 . The method of claim 9 , wherein the acquiring includes utilizing a standardized container storage interface to provision at least some of the storage associated with the plurality of different storage mounts from the local and remote storage types.

12 . The method of claim 9 , wherein at least parts of the storage virtualization system are implemented in a container executing on a hardware-based processing resource.

13 . The method of claim 9 , wherein the data objects of the virtual persistent volume are stored in a deduplicated object store, and the hierarchical structure is a hash tree.

14 . The method of claim 9 , further comprising performing a data service with the virtual persistent volume irrespective of the different storage mounts and without modifying the mount point.

15 . The method of claim 9 , wherein the mount point of the virtual persistent volume is selected from among storage access abstractions available to the storage virtualization system including a file system mount point, a block device mount point, and a key/value store mount point.

16 . A system comprising:
a processing resource; and a non-transitory machine readable medium storing instructions that, when executed, cause the processing resource to:
instantiate a containerized storage virtualization system, executing on the processing resource, that manages data in hash trees,
receive a request for storage from a containerized application,
acquire, in accordance with the request, a plurality of different storage mounts from a mix of storage types,
create a virtual persistent volume that is managed by the containerized storage virtualization system and that aggregates the plurality of different storage mounts, wherein the virtual persistent volume includes a hash tree that relates data objects of the containerized application by content-based signatures to a root object, and
provide, via the containerized storage virtualization system, a mount point of the virtual persistent volume to the containerized application.

17 . The system of claim 16 , further comprising a physical storage device,
wherein the mix of storage types includes:
the physical storage device or a local file system on the physical storage device; and
a remote file system, a remote block storage system, cloud storage, or remote virtualized storage.

18 . The system of claim 16 , wherein the instructions that cause the processing resource to acquire include instructions that cause the processing resource to utilize a standardized container storage interface to provision at least some of the mix of storage types and to receive at least some of the plurality of different storage mounts.

19 . The system of claim 16 , wherein the non-transitory machine readable medium stores instructions that, when executed, cause the processing resource to perform a data service with the virtual persistent volume irrespective of the different storage mounts and without modifying the mount point.

20 . The system of claim 16 , wherein the mount point of the virtual persistent volume is selected from among storage access abstractions available to the instructions to provide including a file system mount point, a block device mount point, and a key/value store mount point.

Assignees

• Hewlett Packard Entpr Dev Lp

Inventors

• Cain Bradley

Classifications

• G06F11/1466

  to make the backup process non-disruptive · CPC title

• G06F2201/84

  Using snapshots, i.e. a logical point-in-time copy of the data · CPC title

• G06F11/1461

  Backup scheduling policy · CPC title

• G06F11/1484

  involving virtual machines · CPC title

• G06F11/1464

  for networked environments · CPC title