WO2023226197A1

WO2023226197A1 - Cloud native storage method and apparatus based on kubernetes, and device and medium

Info

Publication number: WO2023226197A1
Application number: PCT/CN2022/110738
Authority: WO
Inventors: 姚夏冰; 王刚峰; 张家华
Original assignee: 深圳前海环融联易信息科技服务有限公司
Priority date: 2022-05-26
Filing date: 2022-08-08
Publication date: 2023-11-30
Also published as: CN114691050B; CN114691050A

Abstract

The present application relates to the field of cloud storage. Provided are a cloud native storage method and apparatus based on Kubernetes, and a device and a medium. A cloud native storage control plane and a cloud native storage control engine can be created on Kubernetes, and assistance with the creation of a storage volume is provided on the basis of the created cloud native storage control plane and cloud native storage control engine; Kubernetes performs unified orchestration and scheduling on storage to achieve super-fused integration between the storage and Kubernetes; the created storage volume is further allocated to a stateful working load for data storage, such that cloud native storage based on Kubernetes is achieved; and since the storage is managed without needing an independent storage system, the burden of a storage operation is relieved, such that the storage utilization rate is increased and storage performance is improved.

Description

Cloud native storage methods, devices, equipment and media based on kubernetes

This application requires the priority of the Chinese patent application submitted to the China Patent Office on May 26, 2022, with the application number 202210580675.2, and the application name is "Kubernetes-based cloud native storage method, device, equipment and medium", and its entire content has been approved This reference is incorporated into this application.

Technical field

This application relates to the field of cloud storage technology, and in particular to a cloud native storage method, device, equipment and media based on kubernetes.

Background technique

With the demand for portability, scalability and dynamic characteristics of cloud native applications, corresponding requirements have also been brought about for cloud native storage, which not only requires improvements at the storage product level, but also requires improvements in cloud native control and data processing. Improvements are made to advance the evolution of cloud-native storage and cloud storage.

In the existing technology, ROOK tools are usually used to assist cloud storage, the storage system arranges storage resources, and Kubernetes storage is maintained outside the cluster environment.

That is, regardless of the shared file system, the storage facility is always associated with an external resource. The inventor realized that in most cases, storage is usually associated with nodes in the form of operating system kernel modules instead of being uniformly orchestrated and scheduled by kubernetes, which places a burden on storage operations and results in low storage utilization.

Contents of the invention

In view of the above, it is necessary to provide a cloud native storage method, device, equipment and media based on kubernetes, aiming to reduce the burden of cloud native storage and improve storage utilization.

A cloud native storage method based on kubernetes. The cloud native storage method based on kubernetes includes:

In response to a storage request initiated by a stateful workload of kubernetes, send the storage request to the kubernetes storage control plane;

Remotely call the pre-created cloud native storage control plane through the kubernetes storage control plane, and forward the storage request to the cloud native storage control plane;

Parse the storage request through the cloud native storage control plane to obtain the persistent volume statement created by the stateful workload and the declaration content of the persistent volume statement;

Based on the declaration content, create a storage volume by controlling the pre-created cloud native storage control engine through the cloud native storage control plane;

The storage volume is allocated to the stateful workload for data storage.

A cloud native storage device based on kubernetes. The cloud native storage device based on kubernetes includes:

A sending unit, configured to respond to a storage request initiated by the stateful workload of kubernetes and send the storage request to the kubernetes storage control plane;

A forwarding unit configured to remotely call the pre-created cloud native storage control plane through the kubernetes storage control plane, and forward the storage request to the cloud native storage control plane;

A parsing unit configured to parse the storage request through the cloud native storage control plane to obtain the persistent volume statement created by the stateful workload and the statement content of the persistent volume statement;

A creation unit configured to create a storage volume based on the declaration content by controlling the pre-created cloud native storage control engine through the cloud native storage control plane;

A storage unit configured to allocate the storage volume to the stateful workload for data storage.

A kind of computer equipment, described computer equipment includes:

a memory to store at least one instruction; and

A processor that executes instructions stored in the memory to implement the following steps:

The storage volume is allocated to the stateful workload for data storage.

A computer-readable storage medium in which at least one instruction is stored, and the at least one instruction is executed by a processor in a computer device to implement the following operations:

The storage volume is allocated to the stateful workload for data storage.

It can be seen from the above technical solutions that this application can create a cloud native storage control plane and a cloud native storage control engine on kubernetes, and assist in the creation of storage volumes based on the created cloud native storage control plane and cloud native storage control engine. Kubernetes uniformly orchestrates and schedules storage, achieving hyper-converged integration of storage and Kubernetes, further allocating the created storage volumes to stateful workloads for data storage, and realizing cloud-native storage based on Kubernetes. Since there is no need for an independent storage system to manage storage, It reduces the burden of storage operations and improves storage utilization and storage performance.

Description of the drawings

Figure 1 is a flow chart of a preferred embodiment of the Kubernetes-based cloud native storage method of this application.

Figure 2 is a functional module diagram of a preferred embodiment of the Kubernetes-based cloud native storage device of this application.

Figure 3 is a schematic structural diagram of a computer device according to a preferred embodiment of this application's implementation of a kubernetes-based cloud native storage method.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described in detail below with reference to the accompanying drawings and specific embodiments.

As shown in Figure 1, it is a flow chart of a preferred embodiment of the cloud native storage method based on kubernetes in this application. Depending on different needs, the order of steps in this flowchart can be changed and some steps can be omitted.

The Kubernetes-based cloud native storage method is applied to one or more computer devices. The computer device is a device that can automatically perform numerical calculations and/or information processing according to preset or stored instructions. Its hardware Including but not limited to microprocessors, Application Specific Integrated Circuit (ASIC), Programmable Gate Array (Field-Programmable Gate Array, FPGA), Digital Processor (Digital Signal Processor, DSP), embedded devices, etc.

The computer device can be any electronic product that can perform human-computer interaction with the user, such as a personal computer, a tablet computer, a smart phone, a personal digital assistant (Personal Digital Assistant, PDA), a game console, an interactive network television ( Internet Protocol Television, IPTV), smart wearable devices, etc.

The computer equipment may also include network equipment and/or user equipment. The network device includes, but is not limited to, a single network server, a server group composed of multiple network servers, or a cloud composed of a large number of hosts or network servers based on cloud computing.

The server may be an independent server, or may provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, and content delivery networks (Content Delivery Network, CDN), and cloud servers for basic cloud computing services such as big data and artificial intelligence platforms.

Among them, Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .

Basic artificial intelligence technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation/interaction systems, mechatronics and other technologies. Artificial intelligence software technology mainly includes computer vision technology, robotics technology, biometric technology, speech processing technology, natural language processing technology, and machine learning/deep learning.

The network where the computer equipment is located includes but is not limited to the Internet, wide area network, metropolitan area network, local area network, virtual private network (Virtual Private Network, VPN), etc.

S10: In response to a storage request initiated by the stateful workload of kubernetes, send the storage request to the kubernetes storage control plane.

Among them, the stateful workload refers to various applications in Kubernetes that have storage requirements, such as databases, middleware, etc.

In this embodiment, the stateful workload creates a persistent volume declaration while initiating the storage request, which is used to declare attribute information such as storage space, storage space type, and supported read and write operations of the storage volume. The persistent volume claim is carried in the storage request.

In this embodiment, the stateful workload can interact with the kubernetes storage control plane through mechanisms such as PV/PVC (PersistentVolume/PersistentVolumeClaim).

S11, remotely call the pre-created cloud native storage control plane through the kubernetes storage control plane, and forward the storage request to the cloud native storage control plane.

Wherein, the cloud native storage control plane runs on kubernetes, the cloud native storage control plane is composed of at least one microservice managed by kubernetes, and the cloud native storage control plane is used to issue data to the cloud native storage control engine. Task instructions.

The cloud native storage control plane is also used to manage the life cycle of storage volumes by interacting with CSI (Container Storage Interface, container storage interface) plug-in driver.

The cloud native storage control plane is also used to provide an interface for interacting with the CSI plug-in driver and at least one configuration tool; wherein the configuration tool may include, but is not limited to, one or a combination of the following tools: Snapshot , clone, resize, backup, restore and other tools.

The cloud native storage control plane is also used to integrate into at least one designated tool and perform debugging, troubleshooting, and log management. The designated tools may include, but are not limited to, one or a combination of the following tools: fault detection tools, log management tools, etc.

S12: Parse the storage request through the cloud native storage control plane to obtain the persistent volume statement created by the stateful workload and the declaration content of the persistent volume statement.

The declaration content may include, but is not limited to: attribute information such as storage space of the storage volume, storage space type, and supported read and write operations.

In one embodiment, parsing the storage request through the cloud native storage control plane includes:

Obtain the information carried by the storage request and obtain the identifier corresponding to the persistent volume statement;

Traverse the information carried in the storage request according to the identifier to obtain the persistent volume statement;

Extract the storage space, storage space type, and supported read and write operations of the storage volume described in the persistent volume statement;

The storage space, the storage space type and the supported read and write operations are determined as the declaration content.

The identifier corresponding to the persistent volume statement can be customized and configured, which is not limited by this application.

The storage space represents the volume of data that the storage volume can store.

The storage space type may include block storage type, file storage type, etc.

The supported read and write operations may include: support for multiple reads and writes, support for single read and write, support for multiple reads and single write, etc.

S13. Based on the declaration content, control the pre-created cloud native storage control engine to create a storage volume through the cloud native storage control plane.

Wherein, the cloud native storage control engine runs on kubernetes, and the cloud native storage control engine includes a CSI plug-in driver, a data engine controller and a configuration plug-in.

Among them, the CSI plug-in driver is used to interact with the kubernetes storage control plane; the data engine controller is used to control the data engine services of each node of the kubernetes; the configuration plug-in is used to integrate with third-party systems For example, the configuration plug-in may be a third-party plug-in, and the third-party system may be an external monitoring system, backup system, etc.

The cloud native storage control engine is used to perform tasks according to the task instructions, such as performing read and write operations on the underlying persistent storage according to the task instructions.

The cloud native storage control engine is also used to provide interfaces to local and/or remote storage volumes, such as standard systems or network transmission interfaces (NVMe/iSCSI), etc.; the cloud native storage control engine is also used to provide volume services. , services such as synchronous replication, compression, encryption, maintaining snapshots, and accessing incremental or full snapshots of data.

The cloud-native storage control engine provides strong consistency while persisting data to the underlying storage device.

In one embodiment, based on the declaration content, controlling the pre-created cloud native storage control engine to create a storage volume through the cloud native storage control plane includes:

Create generation instructions corresponding to the storage volume according to the declaration content through the controller of the cloud native storage control plane;

Send the generation instruction to the cloud native storage control engine;

The storage volume is created according to the declaration content through the cloud native storage control engine.

The controller belongs to an independent pod, and the controller and the pod corresponding to the storage volume belong to the same node. That is, each storage volume is independently managed by a lightweight controller to improve storage performance and efficiency.

Among them, pod is the smallest deployable unit in Kubernetes and represents an independent application running instance in Kubernetes. This instance may consist of a single container or several tightly coupled containers.

Specifically, creating the storage volume according to the declaration content through the cloud native storage control engine includes:

When the storage space type is a block storage type, call the block storage interface through the cloud native storage control engine to create a block storage device as the storage volume; or

When the storage space type is a file storage type, the cloud native storage control engine calls a file system interface to create a file system subvolume as the storage volume.

After receiving the generation instruction created by the controller according to the declaration content, the cloud native storage control engine generates the storage volume in different ways based on different storage space types.

The storage volume can be deployed in a distributed manner to improve storage performance.

S14: Allocate the storage volume to the stateful workload for data storage.

After the storage volume is created, it is assigned to the stateful workload for data storage. Kubernetes uniformly configures computing storage resources and implements storage in hyper-converged mode, which improves storage utilization and storage performance.

In one embodiment, the method further includes:

Integrate through the cloud native storage control plane and configuration architecture;

Telemetry and monitoring of the cloud native storage control plane and the storage volume are performed through the configuration architecture.

Among them, the configuration architecture may include Prometheus, Grafana, etc., for telemetry and monitoring.

By integrating with third-party frameworks or tools, it can assist in monitoring and telemetry of logs during the storage process to ensure that storage can be performed normally.

As shown in Figure 2, it is a functional module diagram of a preferred embodiment of the cloud native storage device based on kubernetes in this application. The kubernetes-based cloud native storage device 11 includes a sending unit 110, a forwarding unit 111, a parsing unit 112, a creation unit 113, and a storage unit 114. The module/unit referred to in this application refers to a series of computer program segments that can be executed by the processor and can complete fixed functions, which are stored in the memory. In this embodiment, the functions of each module/unit will be described in detail in subsequent embodiments.

In response to the storage request initiated by the stateful workload of kubernetes, the sending unit 110 sends the storage request to the kubernetes storage control plane.

The forwarding unit 111 remotely calls the pre-created cloud native storage control plane through the kubernetes storage control plane, and forwards the storage request to the cloud native storage control plane.

The parsing unit 112 parses the storage request through the cloud native storage control plane to obtain the persistent volume statement created by the stateful workload and the statement content of the persistent volume statement.

In one embodiment, the parsing unit 112 parsing the storage request through the cloud native storage control plane includes:

The storage space type may include block storage type, file storage type, etc.

Based on the declaration content, the creation unit 113 controls the pre-created cloud native storage control engine through the cloud native storage control plane to create a storage volume.

In one embodiment, based on the declaration content, the creation unit 113 controls the pre-created cloud native storage control engine through the cloud native storage control plane to create a storage volume including:

Send the generation instruction to the cloud native storage control engine;

Specifically, the creation unit 113 creates the storage volume according to the declaration content through the cloud native storage control engine, including:

The storage unit 114 allocates the storage volume to the stateful workload for data storage.

In one embodiment, the cloud native storage control plane is integrated with the configuration architecture;

As shown in Figure 3, it is a schematic structural diagram of a computer device according to a preferred embodiment of this application's implementation of a kubernetes-based cloud native storage method.

The computer device 1 may include a memory 12, a processor 13 and a bus, and may also include a computer program stored in the memory 12 and executable on the processor 13, such as a cloud-native stored program based on kubernetes.

Those skilled in the art can understand that the schematic diagram is only an example of the computer device 1 and does not constitute a limitation on the computer device 1. The computer device 1 can be either a bus structure or a star structure. The device 1 may also include more or less other hardware or software than shown in the figure, or different component arrangements. For example, the computer device 1 may also include input and output devices, network access devices, etc.

It should be noted that the computer device 1 is only an example. If other existing or possible electronic products that may appear in the future can be adapted to this application, they should also be included in the protection scope of this application and be included here by reference. .

The memory 12 includes at least one type of readable storage medium, which includes flash memory, mobile hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. . In some embodiments, the memory 12 may be an internal storage unit of the computer device 1 , such as a mobile hard disk of the computer device 1 . In other embodiments, the memory 12 may also be an external storage device of the computer device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), or a secure digital (SD) equipped on the computer device 1. ) card, Flash Card, etc. Further, the memory 12 may also include both an internal storage unit of the computer device 1 and an external storage device. The memory 12 can not only be used to store application software and various types of data installed on the computer device 1, such as the code of a cloud-native storage program based on kubernetes, etc., but can also be used to temporarily store data that has been output or will be output.

In some embodiments, the processor 13 may be composed of an integrated circuit, for example, it may be composed of a single packaged integrated circuit, or it may be composed of multiple integrated circuits packaged with the same function or different functions, including one or more central processing units. Central Processing unit (CPU), microprocessor, digital processing chip, graphics processor and various control chip combinations, etc. The processor 13 is the control core (Control Unit) of the computer device 1, using various interfaces and lines to connect various components of the entire computer device 1, by running or executing programs or modules stored in the memory 12 (for example, executing Cloud-native storage programs based on kubernetes, etc.), and call the data stored in the memory 12 to perform various functions of the computer device 1 and process data.

The processor 13 executes the operating system of the computer device 1 and various installed application programs. The processor 13 executes the application program to implement the steps in each of the above Kubernetes-based cloud native storage method embodiments, such as the steps shown in Figure 1 .

Exemplarily, the computer program may be divided into one or more modules/units, and the one or more modules/units are stored in the memory 12 and executed by the processor 13 to complete the present invention. Apply. The one or more modules/units may be a series of computer-readable instruction segments capable of completing specific functions. The instruction segments are used to describe the execution process of the computer program in the computer device 1. For example, the computer program can be divided into a sending unit 110, a forwarding unit 111, a parsing unit 112, a creation unit 113, and a storage unit 114.

The above-mentioned integrated units implemented in the form of software function modules can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium and includes a number of instructions to cause a computer device (which can be a personal computer, computer device, or network device, etc.) or processor to execute the steps described in various embodiments of the present application based on Part of Kubernetes’ cloud-native storage approach.

If the integrated modules/units of the computer device 1 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present application can implement all or part of the processes in the methods of the above embodiments by instructing relevant hardware devices through a computer program. The computer program can be stored in a computer-readable storage medium, so The computer-readable storage medium may be non-volatile or volatile. When the computer program is executed by the processor, the steps of each of the above method embodiments may be implemented.

Wherein, the computer program includes computer program code, which may be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory) , random access memory, etc.

Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function, etc.; the storage data area may store information based on the blockchain node. Use the created data, etc.

The blockchain referred to in this application is a new application model of computer technology such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain is essentially a decentralized database. It is a series of data blocks generated using cryptographic methods. Each data block contains a batch of network transaction information and is used to verify its Validity of information (anti-counterfeiting) and generation of the next block. Blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.

The bus can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of presentation, only one straight line is used in Figure 3, but it does not mean that there is only one bus or one type of bus. The bus is configured to enable connection communication between the memory 12 and at least one processor 13 and the like.

Although not shown, the computer device 1 may also include a power supply (such as a battery) that supplies power to various components. Preferably, the power supply may be logically connected to the at least one processor 13 through a power management device, thereby implementing the power management device. Charge management, discharge management, and power consumption management functions. The power supply may also include one or more DC or AC power supplies, recharging devices, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components. The computer device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described again here.

Further, the computer device 1 may also include a network interface. Optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which are usually used in the computer device. 1. Establish communication connections with other computer devices.

Optionally, the computer device 1 may also include a user interface, which may be a display (Display) or an input unit (such as a keyboard). Optionally, the user interface may also be a standard wired interface or a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-controlled liquid crystal display, an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. The display, which may also be appropriately referred to as a display screen or a display unit, is used for displaying information processed in the computer device 1 and for displaying a visualized user interface.

It should be understood that the above embodiments are for illustration only, and the scope of the patent application is not limited by this structure.

Figure 3 only shows the computer device 1 with components 12-13. Persons skilled in the art can understand that the structure shown in Figure 3 does not constitute a limitation to the computer device 1, and may include less than what is shown in the figure. Or more parts, or a combination of certain parts, or a different arrangement of parts.

1 , the memory 12 in the computer device 1 stores multiple instructions to implement a kubernetes-based cloud native storage method, and the processor 13 can execute the multiple instructions to achieve:

The storage volume is allocated to the stateful workload for data storage.

Specifically, for the specific implementation method of the above instructions by the processor 13, reference can be made to the description of the relevant steps in the corresponding embodiment in Figure 1, which will not be described again here.

It should be noted that the data involved in this case were obtained legally.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

The application may be used in a variety of general or special purpose computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics devices, network PCs, minicomputers, mainframe computers, including Distributed computing environment for any of the above systems or devices, etc. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including storage devices.

The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in various embodiments of the present application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of hardware plus software function modules.

It is obvious to those skilled in the art that the present application is not limited to the details of the above-described exemplary embodiments, and that the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

Therefore, the embodiments should be regarded as illustrative and non-restrictive from any point of view, and the scope of the application is defined by the appended claims rather than the above description, and it is therefore intended that all claims falling within the claims All changes within the meaning and scope of the equivalent elements are included in this application. Any accompanying reference signs in the claims shall not be construed as limiting the claim in question.

Furthermore, it is clear that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. Multiple units or devices stated in this application may also be implemented by one unit or device through software or hardware. The words first, second, etc. are used to indicate names and do not indicate any specific order.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present application can be modified. Modifications or equivalent substitutions may be made without departing from the spirit and scope of the technical solution of the present application.

Claims

A cloud native storage method based on kubernetes, wherein the cloud native storage method based on kubernetes includes:

In response to a storage request initiated by a stateful workload of kubernetes, send the storage request to the kubernetes storage control plane;

Remotely call the pre-created cloud native storage control plane through the kubernetes storage control plane, and forward the storage request to the cloud native storage control plane;

Parse the storage request through the cloud native storage control plane to obtain the persistent volume statement created by the stateful workload and the declaration content of the persistent volume statement;

Based on the declaration content, create a storage volume by controlling the pre-created cloud native storage control engine through the cloud native storage control plane;

The storage volume is allocated to the stateful workload for data storage.
The cloud native storage method based on kubernetes as claimed in claim 1, wherein the cloud native storage control plane and the cloud native storage control engine run on kubernetes, and the cloud native storage control plane is used to provide information to the cloud The native storage control engine issues task instructions, and the cloud native storage control engine is used to execute tasks according to the task instructions.
The cloud native storage method based on kubernetes as claimed in claim 1, wherein the cloud native storage control engine includes a CSI plug-in driver, a data engine controller and a configuration plug-in, and the CSI plug-in driver is used to communicate with the kubernetes storage control engine. interact; the data engine controller is used to control the data engine services of each node of kubernetes; the configuration plug-in is used to integrate with third-party systems;

The cloud native storage control engine is also used to provide interfaces to local and/or remote storage volumes and provide volume services.
The cloud native storage method based on kubernetes as claimed in claim 1, wherein, based on the declaration content, controlling the pre-created cloud native storage control engine to create a storage volume through the cloud native storage control plane includes:

Create generation instructions corresponding to the storage volume according to the declaration content through the controller of the cloud native storage control plane;

Send the generation instruction to the cloud native storage control engine;

The storage volume is created according to the declaration content through the cloud native storage control engine.
The cloud native storage method based on kubernetes as claimed in claim 4, wherein the declaration content includes a storage space type, and creating the storage volume according to the declaration content through the cloud native storage control engine includes:

When the storage space type is a block storage type, call the block storage interface through the cloud native storage control engine to create a block storage device as the storage volume; or

When the storage space type is a file storage type, the cloud native storage control engine calls a file system interface to create a file system subvolume as the storage volume.
The cloud-native storage method based on kubernetes as claimed in claim 4, wherein the controller belongs to an independent pod, and the controller and the pod corresponding to the storage volume belong to the same node.
The kubernetes-based cloud native storage method as claimed in claim 1, wherein the method further includes:

Integrate through the cloud native storage control plane and configuration architecture;

Telemetry and monitoring of the cloud native storage control plane and the storage volume are performed through the configuration architecture.
The cloud native storage method based on kubernetes as claimed in claim 1, wherein the cloud native storage control plane and the cloud native storage control engine are created on kubernetes.
A cloud native storage device based on kubernetes, wherein the cloud native storage device based on kubernetes includes:

A sending unit, configured to respond to a storage request initiated by the stateful workload of kubernetes and send the storage request to the kubernetes storage control plane;

A forwarding unit configured to remotely call the pre-created cloud native storage control plane through the kubernetes storage control plane, and forward the storage request to the cloud native storage control plane;

A parsing unit configured to parse the storage request through the cloud native storage control plane to obtain the persistent volume statement created by the stateful workload and the statement content of the persistent volume statement;

A creation unit configured to create a storage volume based on the declaration content by controlling the pre-created cloud native storage control engine through the cloud native storage control plane;

A storage unit configured to allocate the storage volume to the stateful workload for data storage.
A computer device, wherein the computer device includes:

a memory to store at least one instruction; and

A processor that executes instructions stored in the memory to implement the following steps:

In response to a storage request initiated by a stateful workload of kubernetes, send the storage request to the kubernetes storage control plane;

Remotely call the pre-created cloud native storage control plane through the kubernetes storage control plane, and forward the storage request to the cloud native storage control plane;

Parse the storage request through the cloud native storage control plane to obtain the persistent volume statement created by the stateful workload and the declaration content of the persistent volume statement;

Based on the declaration content, create a storage volume by controlling the pre-created cloud native storage control engine through the cloud native storage control plane;

The storage volume is allocated to the stateful workload for data storage.
The computer device of claim 10, wherein the cloud native storage control plane and the cloud native storage control engine run on kubernetes, and the cloud native storage control plane is used to download the cloud native storage control engine to the cloud native storage control plane. Issue task instructions, and the cloud native storage control engine is used to execute tasks according to the task instructions.
The computer device of claim 10, wherein the cloud native storage control engine includes a CSI plug-in driver, a data engine controller and a configuration plug-in, and the CSI plug-in driver is used to interact with the kubernetes storage control plane; The data engine controller is used to control the data engine services of each node of the kubernetes; the configuration plug-in is used to integrate with third-party systems;

The cloud native storage control engine is also used to provide interfaces to local and/or remote storage volumes and provide volume services.
The computer device according to claim 10, wherein, based on the declaration content, controlling the pre-created cloud native storage control engine to create a storage volume through the cloud native storage control plane includes:

Create generation instructions corresponding to the storage volume according to the declaration content through the controller of the cloud native storage control plane;

Send the generation instruction to the cloud native storage control engine;

The storage volume is created according to the declaration content through the cloud native storage control engine.
The computer device of claim 13, wherein the declaration content includes a storage space type, and creating the storage volume according to the declaration content through the cloud native storage control engine includes:

When the storage space type is a block storage type, call the block storage interface through the cloud native storage control engine to create a block storage device as the storage volume; or

When the storage space type is a file storage type, the cloud native storage control engine calls a file system interface to create a file system subvolume as the storage volume.
The computer device of claim 13, wherein the controller belongs to an independent pod, and the controller and the pod corresponding to the storage volume belong to the same node.
The computer device of claim 10, wherein when the processor executes instructions stored in the memory, it further includes:

Integrate through the cloud native storage control plane and configuration architecture;

Telemetry and monitoring of the cloud native storage control plane and the storage volume are performed through the configuration architecture.
The computer device of claim 10, wherein the cloud native storage control plane and the cloud native storage control engine are created on kubernetes.
A computer-readable storage medium, wherein: at least one instruction is stored in the computer-readable storage medium, and the at least one instruction is executed by a processor in a computer device to implement the following operations:

In response to a storage request initiated by a stateful workload of kubernetes, send the storage request to the kubernetes storage control plane;

Remotely call the pre-created cloud native storage control plane through the kubernetes storage control plane, and forward the storage request to the cloud native storage control plane;

Parse the storage request through the cloud native storage control plane to obtain the persistent volume statement created by the stateful workload and the declaration content of the persistent volume statement;

Based on the declaration content, create a storage volume by controlling the pre-created cloud native storage control engine through the cloud native storage control plane;

The storage volume is allocated to the stateful workload for data storage.
The computer-readable storage medium of claim 18, wherein the cloud-native storage control plane and the cloud-native storage control engine run on kubernetes, and the cloud-native storage control plane is used to provide data to the cloud-native storage The control engine issues task instructions, and the cloud native storage control engine is used to execute tasks according to the task instructions.
The computer-readable storage medium of claim 18, wherein the cloud native storage control engine includes a CSI plug-in driver, a data engine controller and a configuration plug-in, and the CSI plug-in driver is used to communicate with the kubernetes storage control plane. Interaction; the data engine controller is used to control the data engine services of each node of the kubernetes; the configuration plug-in is used to integrate with third-party systems;

The cloud native storage control engine is also used to provide interfaces to local and/or remote storage volumes and provide volume services.