CN113127006B - Service deployment method, device, equipment and storage medium - Google Patents

Service deployment method, device, equipment and storage medium Download PDF

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CN113127006B
CN113127006B CN201911390659.1A CN201911390659A CN113127006B CN 113127006 B CN113127006 B CN 113127006B CN 201911390659 A CN201911390659 A CN 201911390659A CN 113127006 B CN113127006 B CN 113127006B
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service
dependent
configuration information
cluster
deployment
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CN113127006A (en
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高军
田仁江
李显洋
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Beijing Yiyiyun Technology Co ltd
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Beijing Yiyiyun Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/60Software deployment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects

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  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Stored Programmes (AREA)

Abstract

The invention discloses a service deployment method, a device, equipment and a storage medium. The method comprises the following steps: acquiring deployment configuration information of a service in an application, wherein the application comprises at least one service; pushing mirror images of all services in the application to a cluster; based on the dependent configuration information of each service in the deployment configuration information, obtaining the dependent service of each service; judging whether the dependent service of each service is already operated in the cluster; and when there is a dependent service that is not running in the cluster, looking up the dependency configuration information for the dependent service; deploying the dependent services into the cluster based on deployment configuration information of the dependent services; and writing the access information of the dependent service into an environment variable of the service. The method can realize automatic deployment of the service in the application.

Description

Service deployment method, device, equipment and storage medium
Technical Field
The present invention relates to the field of cloud computing technologies, and in particular, to a service deployment method, device, equipment, and storage medium.
Background
With the popularization of container technology in the development of server applications, more and more server applications are distributed in a mirror image form, so that the server applications are deployed in a container form and provide services to the outside.
The related art application employs a persistent delivery pipeline at deployment time. The general form of persistent deployment is that after a developer has developed an application, the application is published to the cluster in the form of a container using a persistent delivery pipeline provided by an operation and maintenance team. If in-application services rely on services provided by other applications, these relied upon services typically require advanced deployment by the operator. In the whole application deployment process, the services relied on by the application program need to be confirmed, so that the full-automatic deployment of the services is difficult to achieve.
The above information disclosed in the background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
The invention provides a service deployment method, a device, equipment and a storage medium, which can automatically deploy services in applications.
Other features and advantages of the invention will be apparent from the following detailed description, or may be learned by the practice of the invention.
According to an aspect of the present invention, there is provided a service deployment method, including: acquiring deployment configuration information of a service in an application, wherein the application comprises at least one service; pushing mirror images of all services in the application to a cluster; based on the dependent configuration information of each service in the deployment configuration information, obtaining the dependent service of each service; judging whether the dependent service of each service is already operated in the cluster; and when there is a dependent service that is not running in the cluster, looking up the dependency configuration information for the dependent service; deploying the dependent services into the cluster based on deployment configuration information of the dependent services; and writing the access information of the dependent service into an environment variable of the service.
According to an embodiment of the present invention, after deploying the dependent service into the cluster based on the deployment configuration information of the dependent service, the method further includes: judging whether a second dependent service exists in the dependent service or not based on the dependent configuration information in the deployment configuration information of the dependent service; when the dependent service has a second dependent service, judging whether the second dependent service is already running in the cluster; and when the second dependent service is not operating in the cluster, looking up the deployment information of the second dependent service; and deploying the second dependent service into the cluster, and writing access information of the second dependent service into environment variables of the dependent service.
According to an embodiment of the invention, looking up the service dependent deployment information comprises: searching deployment configuration information of the dependent service in the published application; looking up the second service dependent deployment information, comprising: searching the published application for the deployment information of the second dependent service.
According to an embodiment of the present invention, the method further includes: and operating each service in the cluster based on the starting configuration information of each service in the deployment configuration information.
According to an embodiment of the present invention, obtaining deployment configuration information of a service in an application includes: and when the application is released, acquiring deployment configuration information of the service in the application.
According to one embodiment of the present invention, the mirror image of each service and the deployment configuration information of each service in the application are encapsulated in one data packet and published.
According to an embodiment of the invention, the cluster is a Kubernetes cluster.
According to another aspect of the present invention, there is provided a service deployment apparatus comprising: the information acquisition module is used for acquiring deployment configuration information of services in an application, wherein the application comprises at least one service; the mirror image pushing module is used for pushing mirror images of all the services in the application to the cluster; the dependency acquisition module is used for acquiring the dependency service of each service based on the dependency configuration information of each service in the deployment configuration information; the dependence judgment module is used for judging whether the dependence service of each service is already operated in the cluster; and a service deployment module for, when there is a dependent service that is not running in the cluster, looking up deployment information of the dependent service; deploying the dependent services into the cluster based on deployment configuration information of the dependent services; and writing the access information of the dependent service into an environment variable of the service. .
According to still another aspect of the present invention, there is provided an electronic apparatus including: a memory, a processor, and executable instructions stored in the memory and executable in the processor, the processor implementing any of the methods described above when executing the executable instructions.
According to yet another aspect of the present invention, there is provided a computer readable storage medium having stored thereon computer executable instructions which when executed by a processor implement any of the methods described above.
According to the service deployment method provided by the embodiment of the invention, the dependent service of each service is obtained based on the dependent configuration information in the deployment configuration information of each service in the application, the dependent service which does not run in the cluster is deployed in the cluster by judging whether the dependent service of each service runs in the cluster, and the access information of the dependent service is written into the environment variable of the service, so that the automatic deployment of the application is realized.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
Fig. 1 is a flow chart illustrating a service deployment method according to an exemplary embodiment.
Fig. 2 is a flowchart illustrating another service deployment method according to an example embodiment.
Fig. 3 is a block diagram of a service deployment apparatus according to an example embodiment.
Fig. 4 is a schematic diagram of an electronic device according to an exemplary embodiment.
Fig. 5 is a schematic diagram of a computer-readable storage medium according to an example embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known structures, methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the invention.
Furthermore, the terms "first," "second," and the like, in the description of the present invention, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature.
Fig. 1 is a flow chart illustrating a service deployment method according to an exemplary embodiment.
As shown in fig. 1, the service deployment method 10 includes:
in step S101, deployment configuration information of a service in an application is acquired, the application including at least one service.
The automated deployment platform obtains deployment configuration information of the service in the application, wherein the deployment configuration information may include, for example, startup configuration information and service configuration information.
In some embodiments, obtaining deployment configuration information for a service in an application includes: when an application is released, deployment configuration information of services in the application is obtained.
When an application is published, deployment configuration information for a service in the application needs to be provided, where the deployment configuration information may include, for example, startup configuration information and service configuration information. And when the application is released, the automatic deployment platform acquires deployment configuration information of the service in the application.
In some embodiments, the mirror image of each service and the deployment configuration information of each service in the application are encapsulated in a data packet and published.
When an application is released, the mirror images of all the services in the application and the deployment configuration information of all the services need to be provided, and the mirror images of all the services in the application and the deployment configuration information of all the services are packaged in a data packet to be released, so that the automatic deployment platform is convenient to acquire.
In step S102, the mirror image of each service in the application is pushed to the cluster.
In some embodiments, the cluster is a Kubernetes cluster.
The Kubernetes is open source software for automatically deploying, expanding and managing containerized applications.
When the automatic deployment platform reads the deployment configuration file of the application, the mirror image of each service in the application is pushed to the Kubernetes cluster.
In step S103, dependent services of each service are acquired based on the dependent configuration information of each service in the deployment configuration information.
The deployment configuration information comprises dependency configuration information and startup configuration information, the dependency configuration information comprising information of services on which the service depends.
The automatic deployment platform acquires services on which each service depends based on the dependent configuration information in the deployment configuration information of each service in the application.
The dependent services of each service in the application can be, for example, a MongoDB database and a Kafka message queue.
In step S104, it is determined whether or not the dependent service of each service has already run in the cluster.
Judging whether the dependent service of each service is already operated in the cluster or not based on the acquired dependent service of each service, and if the dependent service of each service is already operated in the cluster, deploying the dependent service of each service into the cluster is not needed; if the dependent service of each service is not running in the cluster, step S105 is performed.
In step S105, when there is a dependent service that is not running in the cluster, searching for the deployment information of the dependent service; deploying the dependent services into the cluster based on deployment configuration information of the dependent services; and writing access information dependent on the service into an environment variable of the service.
When the dependent service which does not run in the cluster exists, the automation platform searches the deployment configuration information of the dependent service, deploys the dependent service into the cluster based on the deployment configuration information of the dependent service, and writes the access information of the dependent service into an environment variable appointed by the service, so that the follow-up application can access conveniently.
In some embodiments, looking up service dependent deployment information includes: and searching deployment configuration information of the dependent service in the published application.
In some embodiments, the service deployment method 10 further comprises:
in step S106, each service is operated in the cluster based on the start-up configuration information of each service in the deployment configuration information.
The deployment configuration information contains dependency configuration information and startup configuration information, the startup configuration information containing information required at the time of service startup.
And the automatic deployment platform runs each service in the cluster based on the starting configuration information of each service in the application, so that the automatic deployment of the application is realized.
According to the service deployment method provided by the embodiment of the invention, the dependent service of each service is obtained based on the dependent configuration information in the deployment configuration information of each service in the application, the dependent service which does not run in the cluster is deployed in the cluster by judging whether the dependent service of each service runs in the cluster, and the access information of the dependent service is written into the environment variable of the service, so that the automatic deployment of the application is realized.
It should be clearly understood that the present invention describes how to make and use specific examples, but the principles of the present invention are not limited to any details of these examples. Rather, these principles can be applied to many other embodiments based on the teachings of the present disclosure.
Fig. 2 is a flowchart illustrating another service deployment method according to an example embodiment.
As shown in fig. 2, the service deployment method 20 is different from the service deployment method 10 shown in fig. 1 in that, after step S105, the service deployment method 20 further includes:
in step S201, it is determined whether or not the dependent service exists as a second dependent service based on the dependent configuration information in the deployment configuration information of the dependent service.
Based on the dependent configuration information in the deployment configuration information of the dependent service, it is determined whether the dependent service exists a second dependent service, and when the dependent service exists the second dependent service, step S204 is performed.
In step S202, when the dependent service exists a second dependent service, it is determined whether the second dependent service is already running in the cluster.
When the dependent service has a second dependent service, judging whether the second dependent service is already running in the cluster, and if the second dependent service is already running in the cluster, deploying the second dependent service into the cluster is not needed; if the second dependent service is not running in the cluster, step S203 is performed.
In step S203, when the second dependent service is not running in the cluster, searching for the deployment information of the second dependent service; and deploying the second dependent service into the cluster, and writing access information of the second dependent service into environment variables of the dependent service.
When the second dependent service does not run in the cluster, the automation platform searches deployment configuration information of the second dependent service, deploys the second dependent service into the cluster based on the deployment configuration information of the second dependent service, and writes access information of the second dependent service into environment variables appointed by the dependent service, so that subsequent applications can access conveniently.
And if the second dependent service exists in the third dependent service, recursively processing according to the steps.
In some embodiments, looking up the second service-dependent deployment information includes: the second service-dependent deployment information is looked up in the published application.
Those skilled in the art will appreciate that all or part of the steps implementing the above embodiments are implemented as a computer program executed by a CPU. When executed by a CPU, performs the functions defined by the above-described method provided by the present invention. The program may be stored in a computer readable storage medium, which may be a read-only memory, a magnetic disk or an optical disk, etc.
Furthermore, it should be noted that the above-described figures are merely illustrative of the processes involved in the method according to the exemplary embodiment of the present invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
The following are examples of the apparatus of the present invention that may be used to perform the method embodiments of the present invention. For details not disclosed in the embodiments of the apparatus of the present invention, please refer to the embodiments of the method of the present invention.
Fig. 3 is a block diagram of a service deployment apparatus according to an example embodiment.
As shown in fig. 3, the service deployment apparatus 30 includes: an information acquisition module 301, a mirror push module 302, a dependency acquisition module 303, a dependency determination module 304, and a service deployment module 305.
The information obtaining module 301 is configured to obtain deployment configuration information of a service in an application, where the application includes at least one service.
The image pushing module 302 is configured to push images of services in the application to the cluster.
The dependency acquisition module 303 is configured to acquire a dependency service of each service based on dependency configuration information of each service in the deployment configuration information.
The dependency determination module 304 is configured to determine whether a dependent service of each service is already running in the cluster.
The service deployment module 305 is configured to find out, when there is a dependent service that is not running in the cluster, the deployment information of the dependent service; deploying the dependent services into the cluster based on deployment configuration information of the dependent services; and writing access information dependent on the service into an environment variable of the service.
In some embodiments, the apparatus 30 further comprises: the first judging module is used for judging whether the dependent service exists a second dependent service or not based on the dependent configuration information in the deployment configuration information of the dependent service; the second judging module is used for judging whether the second dependent service is already running in the cluster or not when the second dependent service exists in the dependent service; and a second deployment module for looking up deployment information of the second dependent service when the second dependent service is not running in the cluster; and deploying the second dependent service into the cluster, and writing access information of the second dependent service into environment variables of the dependent service.
In some embodiments, the service deployment module 305 includes an information lookup unit for looking up deployment configuration information of dependent services in published applications; the second deployment module comprises a second information lookup unit for looking up the deployment configuration information of the second dependent service in the published application.
In some embodiments, the apparatus 30 further comprises: and the service running module is used for running each service in the cluster based on the starting configuration information of each service in the deployment configuration information.
In some embodiments, the information acquisition module 301 includes an information acquisition unit for acquiring deployment configuration information of a service in an application when the application is published.
In some embodiments, the mirror image of each service and the deployment configuration information of each service in the application are encapsulated in a data packet and published.
In some embodiments, the cluster is a Kubernetes cluster.
The service deployment device provided by the embodiment of the invention acquires the dependent service of each service based on the dependent configuration information in the deployment configuration information of each service in the application, deploys the dependent service which does not run in the cluster into the cluster by judging whether the dependent service of each service runs in the cluster, and writes the access information of the dependent service into the environment variable of the service, thereby realizing the automatic deployment of the application.
It should be noted that the block diagrams shown in the above figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
Fig. 4 is a schematic diagram of an electronic device according to an exemplary embodiment. It should be noted that the electronic device shown in fig. 4 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present invention.
As shown in fig. 4, the electronic device 800 is embodied in the form of a general-purpose electronic device. The components of the electronic device 800 include: at least one Central Processing Unit (CPU) 801 that can perform various appropriate actions and processes according to program code stored in a Read Only Memory (ROM) 802 or program code loaded from at least one storage unit 808 into a Random Access Memory (RAM) 803.
In particular, according to an embodiment of the present invention, the program code may be executed by the central processing unit 801, such that the central processing unit 801 performs the steps according to various exemplary embodiments of the present invention described in the method embodiment section above in this specification. For example, the central processing unit 801 may perform the steps as shown in fig. 1 or fig. 2.
In the RAM 803, various programs and data required for the operation of the electronic device 800 are also stored. The CPU 801, ROM 802, and RAM 803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to the bus 804.
The following components are connected to the I/O interface 805: an input unit 806 including a keyboard, a mouse, and the like; an output unit 807 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage unit 808 including a hard disk or the like; and a communication unit 809 including a network interface card such as a LAN card, modem, or the like. The communication unit 809 performs communication processing via a network such as the internet. The drive 810 is also connected to the I/O interface 805 as needed. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on the drive 810, so that a computer program read out therefrom is installed into the storage unit 808 as needed.
Fig. 5 is a schematic diagram of a computer-readable storage medium according to an example embodiment.
Referring to fig. 5, a program product 900 according to an embodiment of the present invention configured to implement the above-described method is described, which may employ a portable compact disc read only memory (CD-ROM) and comprise program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer-readable medium carries one or more programs which, when executed by one of the devices, cause the computer-readable medium to implement the functions as shown in fig. 1 or 2.
The exemplary embodiments of the present invention have been particularly shown and described above. It is to be understood that this invention is not limited to the precise arrangements, instrumentalities and instrumentalities described herein; on the contrary, the invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims (8)

1. A method of service deployment, comprising:
acquiring deployment configuration information of services in an application, wherein the application comprises at least one service, and the deployment configuration information comprises: starting configuration information and dependency configuration information;
pushing mirror images of all services in the application to a cluster;
based on the dependent configuration information of each service in the deployment configuration information, obtaining the dependent service of each service;
judging whether the dependent service of each service is already operated in the cluster; and
searching deployment configuration information of dependent services when the dependent services which do not run in the cluster exist; deploying the dependent services into the cluster based on deployment configuration information of the dependent services; writing the access information of the dependent service into an environment variable of the service;
wherein after deploying the dependent service into the cluster based on the deployment configuration information of the dependent service, the method further comprises: judging whether a second dependent service exists in the dependent service or not based on the dependent configuration information in the deployment configuration information of the dependent service; when the dependent service has a second dependent service, judging whether the second dependent service is already running in the cluster; and when the second dependent service is not running in the cluster, searching deployment configuration information of the second dependent service; deploying the second dependent service into the cluster, and writing access information of the second dependent service into environment variables of the dependent service;
wherein the method further comprises: and operating each service in the cluster based on the starting configuration information of each service in the deployment configuration information.
2. The method of claim 1, wherein looking up deployment configuration information for the dependent service comprises: searching deployment configuration information of the dependent service in the published application;
searching the deployment configuration information of the second dependent service comprises the following steps: and searching the deployment configuration information of the second dependent service in the published application.
3. The method of claim 1, wherein obtaining deployment configuration information for the service in the application comprises: and when the application is released, acquiring deployment configuration information of the service in the application.
4. A method according to claim 3, wherein the mirror image of each service in the application and the deployment configuration information of each service are published encapsulated in a data packet.
5. The method of any of claims 1-4, wherein the cluster is a Kubernetes cluster.
6. A service deployment apparatus, comprising:
the information acquisition module is used for acquiring deployment configuration information of services in an application, wherein the application comprises at least one service, and the deployment configuration information comprises: starting configuration information and dependency configuration information;
the mirror image pushing module is used for pushing mirror images of all the services in the application to the cluster;
the dependency acquisition module is used for acquiring the dependency service of each service based on the dependency configuration information of each service in the deployment configuration information;
the dependence judgment module is used for judging whether the dependence service of each service is already operated in the cluster; and
the service deployment module is used for searching deployment configuration information of the dependent service when the dependent service which does not run in the cluster exists; deploying the dependent services into the cluster based on deployment configuration information of the dependent services; writing the access information of the dependent service into an environment variable of the service;
wherein, the service deployment device further comprises: the first judging module is used for judging whether the dependent service exists a second dependent service or not based on the dependent configuration information in the deployment configuration information of the dependent service; the second judging module is used for judging whether the second dependent service is already running in the cluster or not when the second dependent service exists in the dependent service; the second deployment module is used for searching deployment configuration information of the second dependent service when the second dependent service is not running in the cluster; deploying the second dependent service into the cluster, and writing access information of the second dependent service into environment variables of the dependent service;
wherein, the service deployment device further comprises: and the service running module is used for running each service in the cluster based on the starting configuration information of each service in the deployment configuration information.
7. An electronic device, comprising: memory, a processor and executable instructions stored in the memory and executable in the processor, wherein the processor implements the method of any of claims 1-5 when executing the executable instructions.
8. A computer readable storage medium having stored thereon computer executable instructions which when executed by a processor implement the method of any of claims 1-5.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102404381A (en) * 2011-09-02 2012-04-04 西安交通大学 Software deployment system and deployment method based on workflow in cloud computing environment
CN104253831A (en) * 2013-06-26 2014-12-31 国际商业机器公司 Method and system for deploying application in cloud computing environment
CN104660694A (en) * 2015-02-09 2015-05-27 北京博雅立方科技有限公司 Method and apparatus for calling service
CN104765621A (en) * 2014-01-02 2015-07-08 国际商业机器公司 Method and system for deploying program on cluster node
CN105704188A (en) * 2014-11-27 2016-06-22 华为软件技术有限公司 Deployment method and apparatus of applications and services
CN108762769A (en) * 2018-06-04 2018-11-06 万惠投资管理有限公司 Micro services application layout and dispositions method, device and terminal
CN109117143A (en) * 2018-06-11 2019-01-01 阿里巴巴集团控股有限公司 A kind of application dispositions method and system
CN109491763A (en) * 2018-11-14 2019-03-19 北京奇艺世纪科技有限公司 A kind of system deployment method, apparatus and electronic equipment
CN110413294A (en) * 2019-08-06 2019-11-05 中国工商银行股份有限公司 Service delivery system, method, apparatus and equipment

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180205616A1 (en) * 2017-01-18 2018-07-19 International Business Machines Corporation Intelligent orchestration and flexible scale using containers for application deployment and elastic service

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102404381A (en) * 2011-09-02 2012-04-04 西安交通大学 Software deployment system and deployment method based on workflow in cloud computing environment
CN104253831A (en) * 2013-06-26 2014-12-31 国际商业机器公司 Method and system for deploying application in cloud computing environment
CN104765621A (en) * 2014-01-02 2015-07-08 国际商业机器公司 Method and system for deploying program on cluster node
CN105704188A (en) * 2014-11-27 2016-06-22 华为软件技术有限公司 Deployment method and apparatus of applications and services
CN104660694A (en) * 2015-02-09 2015-05-27 北京博雅立方科技有限公司 Method and apparatus for calling service
CN108762769A (en) * 2018-06-04 2018-11-06 万惠投资管理有限公司 Micro services application layout and dispositions method, device and terminal
CN109117143A (en) * 2018-06-11 2019-01-01 阿里巴巴集团控股有限公司 A kind of application dispositions method and system
CN109491763A (en) * 2018-11-14 2019-03-19 北京奇艺世纪科技有限公司 A kind of system deployment method, apparatus and electronic equipment
CN110413294A (en) * 2019-08-06 2019-11-05 中国工商银行股份有限公司 Service delivery system, method, apparatus and equipment

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Hadoop集群的部署与管理系统的设计与实现;王宾;中国优秀硕士学位论文全文数据库信息科技辑;20131015(第10期);第I138-70页 *

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