CN109426514B - Service automation deployment method and device, electronic equipment and storage medium - Google Patents

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

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CN109426514B
CN109426514B CN201710736836.1A CN201710736836A CN109426514B CN 109426514 B CN109426514 B CN 109426514B CN 201710736836 A CN201710736836 A CN 201710736836A CN 109426514 B CN109426514 B CN 109426514B
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service
target server
online
server
deployment
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CN109426514A (en
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胡宏伟
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Beijing Kingsoft Cloud Network Technology Co Ltd
Beijing Kingsoft Cloud Technology Co Ltd
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Beijing Kingsoft Cloud Network Technology Co Ltd
Beijing Kingsoft Cloud Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/60Software deployment
    • G06F8/65Updates
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3006Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3034Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a storage system, e.g. DASD based or network based
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/70Software maintenance or management

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Abstract

The embodiment of the invention provides a service automation deployment method, a service automation deployment device, electronic equipment and a storage medium, which are applied to a management server, wherein the method comprises the following steps: acquiring an integration parameter of a target server in a server cluster; wherein the integration parameter comprises a service type of the target server; determining the service to be on-line of the target server according to the service type; acquiring a pre-stored service deployment scheme corresponding to the service to be online; and issuing the service deployment scheme to the target server. The method provided by the embodiment of the invention realizes the automatic deployment of the service, saves the manpower and improves the deployment and maintenance efficiency of the system.

Description

Service automation deployment method and device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for service automation deployment, an electronic device, and a storage medium.
Background
With the advent of the big data era, enterprise users have gradually recognized the importance of using big data technology to help enterprises make business decisions, and have been engaged in deploying their own big data analysis platforms. The complexity of platform deployment and maintenance difficulty become barriers to big data development of enterprise users. The result of the big data processing analysis will directly affect the decision of the user, therefore, the data processing process needs to be more real-time, stable and accurate, which all put forward higher performance requirements for the platform performing the big data analysis processing. In order to meet the requirement of large-scale data storage application, a distributed storage system can be adopted to store data in a plurality of independent servers in a scattered manner, so that the application of a large data platform is realized.
In the prior art, maintenance of a large data platform applying a distributed storage system is mainly completed by operation and maintenance engineers, each operation and maintenance engineer maintains deployment and change of an on-line tool thereof, and is mainly responsible for configuration adjustment and upgrade of on-line products, establishment and expansion of clusters, monitoring deployment and cleaning of reduction, maintenance of monitoring, and the like. Because each operation and maintenance engineer maintains the on-line tool and changes the on-line tool, great inconvenience is caused aiming at the on-line change efficiency, monitoring deployment, tool maintenance, work handover and the like. At present, the distributed storage operation and maintenance engineers mainly work on configuration adjustment, upgrading, cluster building and capacity expansion, capacity reduction monitoring deployment, cleaning, monitoring maintenance and the like.
The operation of configuration adjustment may have different requirements for each cluster configuration, and an operation and maintenance engineer needs to download cluster configuration changes on each cluster according to different requirements of a machine room and distribute the cluster configuration changes; each service upgrading mode may be different, and is generally divided into two types, one is version soft chain replacement of a service directory, and the other is binary replacement, configuration modification; the building, capacity expansion and capacity reduction monitoring deployment of the cluster refer to the building, capacity expansion and capacity reduction operation of the cluster every time, and an operation and maintenance engineer needs to perform monitoring deployment and cleaning work according to a topological structure of the cluster; the monitoring maintenance means that an operation and maintenance engineer maintains an operation and maintenance tool according to service requirements in a working environment of the engineer, and different languages may be used.
Because the main work content of fortune dimension engineer is relatively fixed to and follow-up fortune dimension engineer's work adjustment, when the fortune dimension engineer appears the manpower not enough, there is very big hidden danger in fortune dimension work guidance and work handing-over, for example: the learning cost is too high, and the handover personnel is not familiar with the business operation process, so the corresponding business automation operation and maintenance and work handover contents need to be simplified and managed in a centralized way. However, in the deployment and maintenance of the large data platform in the prior art, for each independent server in the distributed storage system, there may be different demand configurations for the maintenance of each online product, and an operation and maintenance engineer needs to deploy and maintain the platform according to different online products.
Disclosure of Invention
The embodiment of the invention aims to provide a service automation deployment method, a service automation deployment device, electronic equipment and a storage medium, so as to improve the deployment and maintenance efficiency of a large data platform. The specific technical scheme is as follows:
the embodiment of the invention provides a service automation deployment method, which is applied to a management server and comprises the following steps:
acquiring an integration parameter of a target server in a server cluster; wherein, the integration parameter comprises the service type of the target server;
determining the service to be online of the target server according to the service type;
acquiring a service deployment scheme corresponding to a pre-stored service to be online;
and issuing the service deployment scheme to the target server.
Specifically, before obtaining a service deployment scenario corresponding to a pre-stored service to be online, the method further includes:
detecting whether a service deployment scheme corresponding to a service to be on-line exists in a target server or not;
the method for acquiring the service deployment scheme corresponding to the pre-stored service to be online comprises the following steps:
and when detecting that the service deployment scheme corresponding to the service to be online does not exist in the target server, acquiring the pre-stored service deployment scheme corresponding to the service to be online.
Specifically, after detecting whether a service deployment scheme corresponding to a service to be brought online exists in a target server, the method further includes:
and when detecting that the service deployment scheme corresponding to the service to be online exists in the target server, acquiring the integration parameters of the target server in the server cluster again.
Specifically, issuing the service deployment plan to the target server includes:
acquiring a real-time machine list of a server cluster;
monitoring a target server, and acquiring a machine list of the target server;
comparing whether the real-time machine list of the server cluster is consistent with the machine list of the target server or not;
when the comparison result is consistent, the service deployment scheme is issued to the target server;
and when the comparison result is inconsistent, determining the operation of the server cluster, and when the operation of the server cluster is a preset operation, issuing the content corresponding to the preset operation in the service deployment scheme to the target server.
Specifically, the obtaining of the service deployment scheme corresponding to the pre-stored service to be brought online includes:
detecting whether a service deployment scheme corresponding to a service to be on-line is stored locally;
and if so, acquiring a service deployment scheme corresponding to the pre-stored service to be on-line from the local.
Specifically, after the service deployment scheme is issued to the target server, the method further includes:
and receiving feedback information sent by the target server, wherein the feedback information is generated after the target server runs the service deployment scheme.
Specifically, the service type is update service, monitoring service, or change service.
The embodiment of the invention provides a service automatic deployment device, which comprises:
the first acquisition module is used for acquiring the integration parameters of the target servers in the server cluster; wherein, the integration parameter comprises the service type of the target server;
the determining module is used for determining the service to be on-line of the target server according to the service type;
the second acquisition module is used for acquiring a service deployment scheme corresponding to a pre-stored service to be on-line;
and the deployment module is used for issuing the service deployment scheme to the target server.
Specifically, the apparatus further comprises:
the system comprises a first detection module, a second detection module and a third detection module, wherein the first detection module is used for detecting whether a service deployment scheme corresponding to a service to be on-line exists in a target server or not;
the second obtaining module is specifically configured to obtain a pre-stored service deployment scheme corresponding to the service to be online when the first detecting module detects that the service deployment scheme corresponding to the service to be online does not exist in the target server.
Specifically, the apparatus further comprises:
and the third obtaining module is used for obtaining the integration parameters of the target server in the server cluster again when the first detecting module detects that the service deployment scheme corresponding to the service to be on-line exists in the target server.
Specifically, the deployment module includes:
the first obtaining submodule is used for obtaining a real-time machine list of the server cluster;
the monitoring submodule is used for monitoring the target server and acquiring a machine list of the target server;
the comparison submodule is used for comparing whether the real-time machine list of the server cluster is consistent with the machine list of the target server or not;
the first issuing submodule is used for issuing the service deployment scheme to the target server when the comparison result of the comparison submodule is consistent;
and the second issuing sub-module is used for determining the operation of the server cluster when the comparison result of the comparison sub-module is inconsistent, and issuing the content corresponding to the preset operation in the service deployment scheme to the target server when the operation of the server cluster is the preset operation.
Specifically, the second obtaining module includes:
the detection submodule is used for detecting whether a service deployment scheme corresponding to a service to be on-line is stored locally;
and the second obtaining submodule is used for obtaining the service deployment scheme corresponding to the service to be uploaded stored in advance from the local when the detection submodule detects that the service deployment scheme corresponding to the service to be uploaded stored in the local is stored.
Specifically, the apparatus further comprises:
and the receiving module is used for receiving feedback information sent by the target server, wherein the feedback information is generated after the target server runs the service deployment scheme.
Specifically, the service type is update service, monitoring service, or change service.
The embodiment of the invention provides electronic equipment, which comprises a processor and a machine-readable storage medium, wherein the machine-readable storage medium stores machine-executable instructions capable of being executed by the processor, and the processor executes the machine-executable instructions to realize the method steps of the service automation deployment.
The embodiment of the invention provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and the computer program is executed by a processor to realize the method steps of the automatic service deployment.
Embodiments of the present invention further provide a computer program product containing instructions, which when run on a computer, cause the computer to execute a service automation deployment method as described above.
The embodiment of the invention also provides a computer program which enables a computer to execute the service automation deployment method when the computer program runs on the computer.
The service automation deployment method, the service automation deployment device, the electronic equipment and the storage medium can reduce manpower and improve the deployment and maintenance efficiency of a large data platform. In order to realize automatic service deployment on a target server, firstly, acquiring an integration parameter of the target server in a server cluster; wherein, the integration parameter comprises the service type of the target server; determining the service to be online of the target server according to the obtained service type; acquiring a pre-stored service deployment scheme corresponding to the service to be online for the service to be online; and the service deployment scheme is issued to the target server, so that the service deployment in the target server is realized. The method provided by the embodiment of the invention can determine the service type by acquiring the service parameters, and determine the corresponding service deployment scheme according to the service to be online in the service type, thereby realizing the automatic deployment of the service, saving the manpower and improving the deployment and maintenance efficiency of the system. Of course, it is not necessary for any product or method of practicing the invention to achieve all of the above advantages at the same time.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a service automation deployment method according to an embodiment of the present invention;
fig. 2 is a flowchart of another service automation deployment method according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for detecting whether a service deployment scenario corresponding to a service to be online exists in a target server according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for issuing a service deployment scenario to a target server according to an embodiment of the present invention;
fig. 5 is a flowchart of an implementation method for obtaining a service deployment scenario corresponding to a pre-stored service to be online according to an embodiment of the present invention;
fig. 6 is a flowchart of a method after a service deployment scenario is delivered to a target server according to an embodiment of the present invention;
fig. 7 is a flowchart of an application in an actual scenario according to an embodiment of the present invention;
fig. 8 is an application flowchart of the method in an actual scene after the service deployment scheme is delivered to the target server according to the embodiment of the present invention;
fig. 9 is a schematic structural diagram of a service automation deployment apparatus provided in an embodiment of the present invention;
fig. 10 is a schematic structural diagram of another service automation deployment apparatus provided in the embodiment of the present invention;
fig. 11 is a schematic structural diagram of another service automation deployment apparatus provided in the embodiment of the present invention;
fig. 12 is a schematic structural diagram of a deployment module according to an embodiment of the present invention;
fig. 13 is a schematic structural diagram of a second obtaining module according to an embodiment of the present invention;
fig. 14 is a schematic structural diagram of another service automation deployment apparatus provided in the embodiment of the present invention;
fig. 15 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to improve the deployment and maintenance efficiency of a system, embodiments of the present invention provide a method and an apparatus for service automation deployment, an electronic device, and a storage medium.
The technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.
An embodiment of the present invention provides a method for automatically deploying a service, which is applied to a management server, and fig. 1 is a flowchart of the method for automatically deploying the service, provided by the embodiment of the present invention, and includes the following steps:
step 101, acquiring an integration parameter of a target server in a server cluster.
The method provided by the embodiment of the invention can be applied to a distributed storage system, the distributed storage system comprises a plurality of independent servers which respectively store data, a plurality of servers which store data are managed and controlled by one management server, and the management server and the plurality of servers which store data jointly form a server cluster. In order to deploy a service in a target server, a management server first obtains an integration parameter of the target server in a server cluster. The target server may be any server in the server cluster except the management server.
The integration parameter includes a service type of the target server, and the specific service type may include: at least one of an upgrade service, a monitoring service, and a change service. The updating and upgrading service is used for updating and upgrading the service which is already deployed in the target server so as to optimize the performance of the service; the monitoring service is used for monitoring the target server and monitoring the performance state of the target server; the service change is to change or replace the service in the target server so as to meet the actual needs of the user or improve the performance state of the target server.
Specifically, the management server can acquire the integrated parameters of the target server through a continuous integration tool jenkins, the jenkins can be used for continuously monitoring the work of the target server, and the management server can monitor the target server through the jenkins and feed the integrated parameters back to the management server.
And step 102, determining the service to be on-line of the target server according to the service type.
Because the integration parameters of the target server include the service type of the target server, such as update service, monitoring service, or change service, the management server may determine the service to be on-line of the target server according to the service type included in the acquired integration parameters. For example, when the service type is an update upgrade service, determining that the service to be online of the target server is an update upgrade; when the service type is monitoring service, determining the service to be on-line of the target server as monitoring; and when the service type is the change service, determining that the service to be on-line of the target server is the change service.
The service types may be, in addition to the above, security evaluation service, security optimization service, automatic intrusion monitoring service, emergency response service, and the like included in the monitoring service. When the service type included in the integration parameters of the target server is a security assessment service, the service to be online detects security vulnerabilities of each server in the server cluster and a system in the server; when the determined service type is the safety optimization service, the service to be online is a target server, and the system is optimized in a targeted manner according to the safety evaluation result so as to improve the safety level of the system; when the determined service type is the automatic intrusion monitoring service, monitoring a target server by adopting an intrusion monitoring product for the service to be online; when the determined service type is the emergency response service, the service to be on-line reminds the management server to protect the safety of the system when the system is invaded.
And 103, acquiring a service deployment scheme corresponding to a pre-stored service to be on-line.
After determining the service to be on-line of the target server, the management server may obtain a service deployment scheme corresponding to the pre-stored service to be on-line. The management server may establish a mapping relationship between the service to be online and the corresponding service deployment scheme in advance, and may acquire the service deployment scheme corresponding to the service to be online after determining the service to be online.
The service deployment scheme comprises a service operation environment building mode, an operation file, a starting mode of each part in the target server, a starting and closing mode of a service process on the target server, an updating mode of all configuration files and process files, a mode of modifying parameters, a mode of restarting each service process and the like.
And 104, transmitting the service deployment scheme to the target server.
After the management server obtains the service deployment scheme corresponding to the service to be online, the service deployment scheme can be issued to the target server, and automatic deployment of the service of the target server is achieved. For different service types, there are different service deployment schemes, for example, when the service type is an update upgrade service, a monitoring service, a change service, a security evaluation service, a security optimization service, or an emergency response service, the service deployment schemes are respectively different.
For example, when the service type determined in step 102 is an update service, the service to be on-line of the target server is determined as an update service, the corresponding service deployment scheme includes an operation environment of the update service, a storage placement of an operation file, a start and close manner of a process of the update service, and the like, and the management server issues the service deployment scheme to the target server, so that the target server operates the operation file in the operation environment of the update service, and completes deployment of the update service.
When the service type determined in step 102 is the monitoring service, determining that the service to be on-line of the target server is the monitoring, wherein the corresponding service deployment scheme includes a monitoring mode, a storage mode of monitoring data, a mode of feeding back to the management server, and the like, and the management server issues the service deployment scheme to the target server, so that the target server runs the service deployment scheme, and completes the deployment of the monitoring service. After successful deployment, the target server provides detailed detection and analysis reports in a rich image-text mode, provides a detailed list of security vulnerabilities existing in each server in the cluster, and provides vulnerability descriptions and repairing methods, wherein the vulnerability risk levels, technical backgrounds, solutions and links of related resources are described in detail for users.
When the service type determined in step 102 is a change service, determining that the service to be brought online by the target server is a change service, wherein the corresponding service deployment scheme includes a running environment of the change service, a storage placement of a running file, a starting and closing mode of a change service process, and the like, and the management server issues the service deployment scheme to the target server, so that the target server runs the service deployment scheme to complete the deployment of the change service.
The service automatic deployment method provided by the embodiment of the invention is applied to a management server of a server cluster, the server for deploying the service is determined as a target server, the management server obtains an integration parameter of the target server, the integration parameter comprises a service type, the service to be online is determined according to the service type, a service deployment scheme corresponding to the pre-stored service to be online is obtained, and the service deployment scheme is issued to the target server, so that the target server realizes the deployment of the service. According to the method provided by the embodiment of the invention, the management server controls and manages the target server, so that the automatic deployment of the service is realized, the manpower is reduced, and the deployment and maintenance efficiency of the system is improved.
As a specific implementation manner of the embodiment of the present invention, in combination with the above embodiment, a flowchart of a method before the step 103 of acquiring a service deployment scenario corresponding to a pre-stored service to be brought online is shown in fig. 2, which includes the following steps:
step 201, acquiring an integration parameter of a target server in a server cluster.
The management server can obtain the integration parameters of the target server through a continuous integration tool jenkins, wherein the integration parameters comprise the service type of the target server, and the specific service type is update service, monitoring service or change service.
Step 202, determining the service to be on-line of the target server according to the service type.
Since the integration parameter includes the service type of the target server, for example, update service, monitoring service, or change service, the management server may determine the service to be brought online by the target server according to the service type included in the acquired integration parameter.
Step 203, detecting whether the service deployment scheme corresponding to the service to be on-line exists in the target server.
After the management server determines a service to be brought online by the target server, before acquiring a service deployment scheme corresponding to the pre-stored service to be brought online, the management server may detect whether the service deployment scheme corresponding to the service to be brought online exists in the target server, and if the corresponding service deployment scheme already exists in the target server, the management server does not need to acquire the service deployment scheme corresponding to the service to be brought online, and may already deploy or fail to deploy the service, and under any condition, the management server does not need to acquire the service deployment scheme again.
And 204, when detecting that the service deployment scheme corresponding to the service to be online does not exist in the target server, acquiring the service deployment scheme corresponding to the pre-stored service to be online.
When the service deployment scheme corresponding to the service to be online is detected not to exist in the target server, the service is not deployed, and at the moment, the management server acquires the pre-stored service deployment scheme corresponding to the service to be online.
Step 205, the service deployment plan is sent to the target server.
And after the management server acquires the service deployment scheme corresponding to the service to be online, the management server issues the service deployment scheme to the target server according to the content included in the service deployment scheme, so that the automatic deployment of the service of the target server is realized.
In this embodiment, before obtaining a service deployment scheme corresponding to a pre-stored service to be online, it may be detected whether the service deployment scheme already exists in a target server, and if so, a management server may already determine the service to be online and may not successfully deploy the service; it is also possible that the service has been successfully deployed, changed or updated. If not, the management server obtains the service deployment scenario. Whether the service deployment scheme exists in the target server or not is detected, the service deployment efficiency can be improved, and when the service deployment scheme exists, the service deployment scheme corresponding to the service to be online does not need to be obtained again.
As a specific implementation manner of the embodiment of the present invention, in combination with the above embodiment, after detecting whether the service deployment scheme corresponding to the service to be online exists in the target server in step 203, as shown in fig. 3, the method may further include:
and step 206, when detecting that the service deployment scheme corresponding to the service to be on-line exists in the target server, acquiring the integration parameters of the target server in the server cluster again.
After the management server determines the service to be online of the target server, before acquiring the service deployment scheme corresponding to the pre-stored service to be online, the management server detects whether the service deployment scheme corresponding to the service to be online exists in the target server, and if the corresponding service deployment scheme already exists in the target server, the management server does not need to acquire the service deployment scheme corresponding to the service to be online. In this case, the management server may obtain the integration parameter of the target server again in the server cluster to perform the deployment operation on the other services.
In this embodiment, before obtaining a service deployment scheme corresponding to a pre-stored service to be online, the management server may detect whether the service deployment scheme corresponding to the service to be online exists in the target server, and when detecting that the service deployment scheme corresponding to the service to be online exists in the target server, the service to be online may already exist in the target server, and the service to be online is not required to be deployed again, the management server may obtain the integration parameter of the target server again to determine the next service to be online, so that the same service is prevented from being deployed repeatedly, and the deployment efficiency is effectively improved.
As a specific embodiment of the present invention, the method for issuing the service deployment plan to the target server in step 104 is shown in fig. 4, and includes the following steps:
step 1041, obtain a real-time machine list of the server cluster.
After the management server obtains the service deployment scheme corresponding to the service to be online, a real-time machine list of the server cluster can be obtained. The server cluster includes a plurality of target servers for accessing various services and a management server for managing the plurality of target servers, and when the management server manages the plurality of target servers, each target server is managed through a unified Application Programming Interface (API). Therefore, the management server may obtain the real-time machine list of the server cluster through the cluster API, that is, all the server lists in the server cluster at the current time.
In some embodiments, the server list includes Internet Protocol (IP) address names of the servers in the cluster, and when a plurality of servers exist in the cluster, a plurality of IP addresses are obtained to obtain a real-time machine list of the server cluster.
Step 1042, monitoring the target server, and obtaining a machine list of the target server.
And monitoring a target server in the server cluster through the management server to obtain a machine list of the target server at the current moment. And monitoring all target servers in the cluster and acquiring a machine list of the target servers, and acquiring a plurality of IP addresses and acquiring the machine list of the target servers when a plurality of target servers exist.
Step 1043, compare whether the real-time machine list of the server cluster is consistent with the machine list of the target server.
In order to successfully deliver the service deployment scheme to the target server, the real-time machine list of the server cluster may be compared with the machine list of the target server, and the operation performed by the server cluster is determined, so as to deploy the service deployment scheme. Wherein, in this step, include the following two kinds of situations again:
and step 1044a, when the comparison result is consistent, the service deployment scheme is issued to the target server.
When the real-time machine list of the server cluster is consistent with the machine list of the target server, the server cluster is indicated to have not performed any operation, and the target server is not changed. In this case, the management server may directly issue the service deployment scheme to the target server, and the target server operates the service according to the content in the service deployment scheme.
And step 1044b, when the comparison result is inconsistent, determining the operation of the server cluster, and when the operation of the server cluster is a preset operation, issuing the content corresponding to the preset operation in the service deployment scheme to the target server.
When the real-time machine list of the server cluster is inconsistent with the machine list of the target server, the management server can generate warning information and send the warning information to the operation and maintenance personnel, so that the operation and maintenance personnel keep the real-time machine list of the server cluster consistent with the machine list of the target server, write the real-time machine list of the server cluster into the current machine directory, continue to monitor the target server, obtain the machine list of the target server at the next moment, and compare whether the machine list of the target server at the next moment is consistent with the machine directory.
And when the comparison result is inconsistent, determining the operation of the server cluster, and when the operation of the server cluster is a preset operation, issuing the content corresponding to the preset operation in the service deployment scheme to the target server.
The preset operation can be capacity reduction or capacity expansion, if a machine list of a target server at the next moment is not consistent with a machine directory, whether the cluster is subjected to capacity expansion or capacity reduction operation is judged, if the machine directory contains the machine list of the target server at the next moment, the cluster is subjected to capacity reduction operation, because the lists of the target server at the next moment are reduced, monitoring and cleaning corresponding to the capacity reduction operation are carried out on the inconsistent list names in the machine directory, and a service deployment scheme is issued to the target server; if the machine list of the target server at the next moment contains the machine directory, the cluster performs capacity expansion operation, because the list of the target server at the next moment is increased, monitoring deployment corresponding to the capacity expansion operation is performed on the list name of the target server in the machine list at the next moment, wherein the list name is inconsistent with the machine directory, and the service deployment scheme is issued to the target server.
As a specific embodiment of the present invention, an implementation method of step 103 for obtaining a service deployment scenario corresponding to a pre-stored service to be online is shown in fig. 5, and includes the following steps:
step 1031, detecting whether a service deployment scheme corresponding to the service to be brought online is stored locally.
Before the management server obtains the service deployment scheme corresponding to the pre-stored service to be on-line, whether the service deployment scheme corresponding to the service to be on-line is stored locally or not can be detected.
And 1032, if the service deployment scheme exists, acquiring a service deployment scheme corresponding to the pre-stored service to be on-line from the local.
The management server detects whether a service deployment scheme corresponding to the service to be on-line is stored locally or not, and if the service deployment scheme exists locally, the service deployment scheme corresponding to the service to be on-line which is stored in advance is obtained locally. And if the service deployment scheme does not exist, reestablishing the service deployment scheme corresponding to the service to be online, or acquiring the service deployment scheme from the external equipment.
In this embodiment, whether a service deployment scheme corresponding to a service to be online is stored locally is preferentially detected, and when the service deployment scheme exists, the service deployment scheme corresponding to the service to be online which is stored in advance is directly obtained locally, so that deployment time can be saved, and deployment efficiency can be improved.
As a specific embodiment of the present invention, as shown in fig. 6, the method after the step 104 of issuing the service deployment plan to the target server further includes:
and 105, receiving the feedback information sent by the target server.
The feedback information is generated after the target server runs the service deployment scheme. After the management server issues the service deployment scheme to the target server, the target server runs the service deployment scheme, and when deploying the service to be online, if the deployment is successful, the target server generates feedback information of successful deployment and sends the feedback information to the management server; and if the deployment is failed, the target server generates feedback information of the failed deployment, sends the feedback information to the management server, informs the management server of the incomplete deployment, and determines whether to continue to deploy the service by checking the feedback information by operation and maintenance personnel.
In the embodiment, the deployment result is obtained by receiving the feedback information sent by the target server, and when the deployment is successful, the operation and maintenance personnel can perform the next work; when the deployment fails, the reason of the deployment failure can be detected in time, and the failure reason is repaired, so that the efficiency of subsequent service deployment is improved.
The following is a brief description of embodiments of the present invention by way of a specific example. Fig. 7 is an application flowchart in an actual scenario, which is applied to a management server and includes:
and 701, acquiring an integration parameter through a front-end integration tool. The management server obtains the integration parameters of the target server through a front-end integration tool and jenkins, and the integration parameters comprise the service type of the target server.
Step 702, determine an online operation. The management server determines the service type according to the service type included in the integration parameter, for example, the determined service type may be a monitoring service or a changing service, and the like. In this embodiment, two cases are taken as examples, and the online operation is online change and monitoring deployment respectively.
And step 703, changing online. The online operation is online change.
Step 704, determine the service line. When the online operation is online change, a service line, namely the service in the invention, is determined.
Step 705, a business line deployment process is obtained. And the management server determines the deployment process of the business line, namely a service deployment scheme, according to the business line. The service deployment scheme comprises configuration, deployment flow, online mode and the like of service online.
Step 706, determine the online mode. And the management server determines the online mode of the service according to the online mode in the deployment process of the service line.
Step 707, deploy the framework deployment. The management server deploys the service to be online in the target server according to the configuration, deployment flow, online mode and the like of the service online included in the deployment flow of the service line.
At step 708, it is detected whether the deployment is successful. If the operation is successful, the operation is finished; if it fails, the deployment framework rolls back and sends an alert, step 708 a. And if the deployment fails, the deployment framework cannot deploy and roll back, and a warning message is generated and sent to operation and maintenance personnel.
Step 7015, confirm the deployment failure reason. And the operation and maintenance personnel receives the warning message, confirms the reason of the failure deployment, prepares for the deployment of the next service, and enters step 701.
Step 709, monitoring deployment. When the online operation is monitoring deployment, a service line, namely the service in the invention, is determined.
Step 7010, determine an online script. And determining an online script for monitoring the deployment service.
Step 7011, a service line monitoring deployment process is obtained. And determining a monitoring deployment process of the service line, namely a service deployment scheme according to the service line. The service deployment scheme includes configuration, deployment flow, online mode, etc. of the online service, and step 706 is entered to determine the online mode.
Step 7012, determine the online machine room. And after the management server acquires the integration parameters through the front-end integration tool, determining an online machine room through the service type included in the integration parameters.
Step 7013, get the configuration of online. And the management server acquires the online configuration of the online machine room.
Step 7014, get online machine list. The management server obtains the machine list of each server in the machine room, and after obtaining the online configuration and the online machine list of the online machine room, the step 706 is entered to determine the online mode.
According to the application of the embodiment of the invention in an actual scene, for the service deployment of online change or monitoring deployment, the whole service deployment process does not need manual intervention, after the online service is determined, the service deployment method is obtained, the service deployment method comprises the online script of the service, the online configuration of the service and the online mode, the deployment frame of the service is deployed in the server according to the obtained online script of the service, the online configuration of the service and the online mode, and when the deployment fails, a warning is generated and sent to operation and maintenance personnel, so that the operation and maintenance personnel can confirm the reason of the failure in deployment and enter the deployment of the next service. The method provided by the embodiment of the invention can realize the automatic deployment of the service by controlling and managing the target server through the management server, thereby not only reducing the manpower, but also improving the deployment and maintenance efficiency of the system.
The following briefly describes, by using a specific example, a method after the service deployment scheme is issued to the target server in the embodiment of the present invention, as shown in fig. 8, including:
step 801, the cluster API obtains a real-time machine list of the server cluster.
After obtaining a service deployment scheme corresponding to a service to be online, the management server first obtains a real-time machine list of a server cluster. For example, a real-time machine list of the server cluster, that is, a server list in the server cluster at the current time, is obtained through the cluster API.
Step 802, the monitoring system obtains a list of target server machines.
And monitoring a target server in the server cluster through the management server to obtain a machine list of the target server at the current moment. And monitoring the changed target servers in the cluster, acquiring the changed target servers, and acquiring a plurality of IP addresses and a machine list of the target servers when a plurality of target servers exist.
Step 803, determine whether the real-time machine list is consistent with the target server machine list.
In some examples, in order to successfully deliver the service deployment scenario to the target server, the real-time machine list of the server cluster needs to be compared with the machine list of the target server to determine the operation performed by the server cluster, so as to successfully deploy the service deployment scenario.
When the real-time machine list is consistent with the target server machine list, step 804 is entered, and the system management directory is deployed.
When the real-time machine list of the server cluster is consistent with the machine list of the target server, the server cluster does not perform any operation, the target server does not change, and the management server deploys the system management directory.
Step 805, determine if the real-time machine list is consistent with the system management directory.
After the management server deploys the system management directory, the system management directory is compared with the real-time machine list.
And when the real-time machine list is consistent with the system management directory, completing the operation and transmitting the service deployment scheme to the target server.
When the real-time machine list is inconsistent with the system management directory, step 806 is entered to determine the operation, i.e., determine the operation of the server cluster.
In step 807, if the operation is a capacity expansion operation, the process proceeds to step 809 to deploy the script.
In step 808, if the operation is a capacity reduction operation, the process proceeds to step 8010, and the script is cleaned.
According to some embodiments, if the system management directory contains a target server real-time machine list, the cluster performs a capacity reduction operation, the list of the target server is reduced, a cleaning script corresponding to the capacity reduction operation is performed on the inconsistent list names in the system management directory, and a service deployment scheme is issued to the target server; if the real-time machine list of the target server contains the system management directory, the cluster performs capacity expansion operation, and because the list of the target server is increased, a deployment script corresponding to the capacity expansion operation is performed on the list name which is inconsistent with the system management directory in the machine list of the target server, and a service deployment scheme is issued to the target server.
8011, the list of machines is restored automatically, step 804 is entered,
after the script is deployed or cleaned up, the management server automatically restores the machine list and redeployes the system management directory.
If the judgment result in the step 803 is inconsistent, the process proceeds to a step 8012, where an alarm is sent to the operation and maintenance staff.
Step 8013, the machine list is restored. After receiving the warning, the operation and maintenance personnel repair the machine list to keep the real-time machine list consistent with the target server machine list, and return to step 802 to obtain the target server machine list through the monitoring system.
An embodiment of the present invention further provides a service automation deployment apparatus, where a schematic diagram of a structure of the apparatus is shown in fig. 9, and the apparatus includes:
a first obtaining module 901, configured to obtain an integration parameter of a target server in a server cluster; wherein, the integration parameter comprises the service type of the target server;
a determining module 902, configured to determine, according to a service type, a service to be brought online by a target server;
a second obtaining module 903, configured to obtain a service deployment scheme corresponding to a pre-stored service to be online;
and a deployment module 904, configured to issue the service deployment scenario to the target server.
The service automatic deployment device provided by the embodiment of the invention is applied to a management server of a server cluster, the server for deploying the service is determined as a target server, the management server obtains an integration parameter of the target server, the integration parameter comprises a service type, the service to be online is determined according to the service type, a service deployment scheme corresponding to the pre-stored service to be online is obtained, and the service deployment scheme is issued to the target server, so that the target server realizes the deployment of the service. According to the method provided by the embodiment of the invention, the management server controls and manages the target server, so that the automatic deployment of the service is realized, the manpower is reduced, and the deployment and maintenance efficiency of the system is improved.
Specifically, the structure of the service automation deployment apparatus is shown in fig. 10, and further includes:
a first detection module 1001, configured to detect whether a service deployment scenario corresponding to a service to be online exists in a target server;
the second obtaining module 1002 is specifically configured to, when the first detecting module 1001 detects that the service deployment scheme corresponding to the service to be online does not exist in the target server, obtain a service deployment scheme corresponding to the pre-stored service to be online.
Specifically, a schematic structural diagram of the service automation deployment apparatus is shown in fig. 11, and further includes:
a third obtaining module 1101, configured to obtain the integration parameter of the target server in the server cluster again when the first detecting module 1001 detects that the service deployment scheme corresponding to the service to be online exists in the target server.
Specifically, the structural diagram of the deployment module 904 is shown in fig. 12, and includes:
a first obtaining submodule 1201, configured to obtain a real-time machine list of a server cluster;
a monitoring submodule 1202, configured to monitor a target server and obtain a machine list of the target server;
a comparison submodule 1203, configured to compare whether the real-time machine list of the server cluster is consistent with the machine list of the target server;
the first issuing sub-module 1204 is configured to issue the service deployment scenario to the target server when the comparison result of the comparison sub-module 1203 is consistent;
the second issuing sub-module 1205 is configured to determine, when the comparison result of the comparison sub-module 1203 is inconsistent, an operation of the server cluster, and issue, when the operation of the server cluster is a preset operation, a content corresponding to the preset operation in the service deployment scheme to the target server.
Specifically, a schematic structural diagram of the second obtaining module 1002 is shown in fig. 13, and includes:
the detection submodule 1301 is configured to detect whether a service deployment scheme corresponding to a service to be brought online is stored locally;
the second obtaining sub-module 1302, configured to obtain, when the detection sub-module 1301 detects that the service deployment scheme corresponding to the service to be locally stored is to be brought online, the service deployment scheme corresponding to the service to be brought online in advance from the local.
Specifically, as shown in fig. 14, the structural schematic diagram of the service automation deployment apparatus further includes:
a receiving module 1401, configured to receive feedback information sent by a target server, where the feedback information is generated after the target server runs a service deployment scheme.
Specifically, the service type is update service, monitoring service, or change service.
The embodiment of the invention also provides electronic equipment which can comprise a processor and a memory.
A memory operable to store a computer program;
the processor, when being used for executing the program stored in the memory, realizes the following steps:
acquiring an integration parameter of a target server in a server cluster; the integration parameters comprise the service type of the target server;
determining the service to be online of the target server according to the service type;
acquiring a service deployment scheme corresponding to a pre-stored service to be online;
and issuing the service deployment scheme to the target server.
An embodiment of the present invention further provides an electronic device, as shown in fig. 15, including a processor 1501, a communication interface 1502, a memory 1503, and a communication bus 1504, where the processor 1501, the communication interface 1502, and the memory 1503 complete mutual communication through the communication bus 1504,
a memory 1503 for storing a computer program;
the processor 1501, when executing the program stored in the memory 1503, implements the following steps:
acquiring integration parameters of a target server in a server cluster; wherein, the integration parameter comprises the service type of the target server;
determining the service to be online of the target server according to the service type;
acquiring a service deployment scheme corresponding to a pre-stored service to be online;
and issuing the service deployment scheme to the target server.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
The electronic device provided by the embodiment of the invention is applied to a management server of a server cluster, determines a server for deploying services as a target server, and the management server acquires integration parameters of the target server, wherein the integration parameters comprise service types, determines services to be online according to the service types, acquires a service deployment scheme corresponding to the pre-stored services to be online, and issues the service deployment scheme to the target server, so that the target server realizes the deployment of the services. According to the method provided by the embodiment of the invention, the management server controls and manages the target server, so that the automatic deployment of the service is realized, the manpower is reduced, and the deployment and maintenance efficiency of the system is improved.
An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the following method steps for service automation deployment are implemented:
acquiring an integration parameter of a target server in a server cluster; wherein, the integration parameter comprises the service type of the target server;
determining the service to be online of the target server according to the service type;
acquiring a service deployment scheme corresponding to a pre-stored service to be online;
and issuing the service deployment scheme to the target server.
The computer-readable storage medium provided by the embodiment of the invention is applied to a management server of a server cluster, a server for deploying services is determined as a target server, the management server obtains an integration parameter of the target server, the integration parameter comprises a service type, the service to be online is determined according to the service type, a service deployment scheme corresponding to the pre-stored service to be online is obtained, and the service deployment scheme is issued to the target server, so that the target server realizes the deployment of the service. According to the method provided by the embodiment of the invention, the management server controls and manages the target server, so that the automatic deployment of the service is realized, the manpower is reduced, and the deployment and maintenance efficiency of the system is improved.
Embodiments of the present invention further provide a computer program product containing instructions, which when run on a computer, cause the computer to execute a service automation deployment method as described above.
According to the computer program product containing the instructions, the management server controls and manages the target server, automatic deployment of services is achieved, manpower is reduced, and deployment and maintenance efficiency of the system is improved.
An embodiment of the present invention further provides a computer program, which when running on a computer, enables the computer to execute the service automation deployment method provided in the first aspect.
According to the computer program provided by the embodiment of the invention, the management server controls and manages the target server, so that the automatic deployment of the service is realized, the manpower is reduced, and the deployment and maintenance efficiency of the system is improved.
It should be noted that the apparatus, the electronic device, the storage medium, the computer program product, and the computer program provided in the embodiments of the present invention are respectively an apparatus, an electronic device, a storage medium, a computer program product, and a computer program that apply the foregoing service automation deployment method, and all embodiments of the foregoing service automation deployment method are applicable to the apparatus, the electronic device, the storage medium, the computer program product, and the computer program, and can achieve the same or similar beneficial effects.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims (14)

1. A service automation deployment method is applied to a management server, and comprises the following steps:
acquiring an integration parameter of a target server in a server cluster; wherein the integration parameter comprises a service type of the target server; the service types comprise updating and upgrading service, monitoring service and changing service;
determining the service to be on-line of the target server according to the service type, wherein the service comprises: updating, upgrading, monitoring and changing;
acquiring a pre-stored service deployment scheme corresponding to the service to be online;
and issuing the service deployment scheme to the target server.
2. The method according to claim 1, wherein before the obtaining of the pre-stored service deployment scenario corresponding to the service to be online, the method further comprises:
detecting whether a service deployment scheme corresponding to the service to be online exists in the target server;
the acquiring of the pre-stored service deployment scheme corresponding to the service to be online includes:
and when detecting that the service deployment scheme corresponding to the service to be online does not exist in the target server, acquiring a pre-stored service deployment scheme corresponding to the service to be online.
3. The method according to claim 2, wherein after detecting whether the service deployment scenario corresponding to the service to be online exists in the target server, the method further comprises:
and when detecting that the service deployment scheme corresponding to the service to be online exists in the target server, acquiring the integration parameters of the target server in the server cluster again.
4. The method of claim 1, wherein the issuing the service deployment plan to the target server comprises:
acquiring a real-time machine list of the server cluster;
monitoring the target server to obtain a machine list of the target server;
comparing whether the real-time machine list of the server cluster is consistent with the machine list of the target server;
when the comparison result is consistent, the service deployment scheme is issued to the target server;
and when the comparison result is inconsistent, determining the operation of the server cluster, and when the operation of the server cluster is a preset operation, issuing the content corresponding to the preset operation in the service deployment scheme to the target server.
5. The method according to claim 1, wherein the obtaining of the pre-stored service deployment scenario corresponding to the service to be online comprises:
detecting whether a service deployment scheme corresponding to the service to be online is stored locally;
and if so, acquiring a service deployment scheme corresponding to the pre-stored service to be online from the local.
6. The method according to any one of claims 1 to 5, wherein after the issuing the service deployment plan into the target server, the method further comprises:
and receiving feedback information sent by the target server, wherein the feedback information is generated after the target server runs the service deployment scheme.
7. A service automation deployment apparatus, characterized in that the apparatus comprises:
the first acquisition module is used for acquiring the integration parameters of the target servers in the server cluster; wherein the integration parameter comprises a service type of the target server; the service types comprise updating and upgrading service, monitoring service and changing service;
a determining module, configured to determine, according to the service type, a service to be brought online by the target server, where the service includes: updating, upgrading, monitoring and changing;
the second acquisition module is used for acquiring a pre-stored service deployment scheme corresponding to the service to be online;
and the deployment module is used for issuing the service deployment scheme to the target server.
8. The apparatus of claim 7, further comprising:
the first detection module is used for detecting whether a service deployment scheme corresponding to the service to be online exists in the target server;
the second obtaining module is specifically configured to obtain a pre-stored service deployment scheme corresponding to the service to be online when the first detecting module detects that the service deployment scheme corresponding to the service to be online does not exist in the target server.
9. The apparatus of claim 8, further comprising:
a third obtaining module, configured to obtain the integration parameter of the target server in the server cluster again when the first detecting module detects that the service deployment scheme corresponding to the service to be online exists in the target server.
10. The apparatus of claim 7, wherein the deployment module comprises:
the first obtaining submodule is used for obtaining a real-time machine list of the server cluster;
the monitoring submodule is used for monitoring the target server and acquiring a machine list of the target server;
the comparison submodule is used for comparing whether the real-time machine list of the server cluster is consistent with the machine list of the target server or not;
the first issuing submodule is used for issuing the service deployment scheme to the target server when the comparison result of the comparison submodule is consistent;
and the second issuing sub-module is used for determining the operation of the server cluster when the comparison result of the comparison sub-module is inconsistent, and issuing the content corresponding to the preset operation in the service deployment scheme to the target server when the operation of the server cluster is the preset operation.
11. The apparatus of claim 7, wherein the second obtaining module comprises:
the detection submodule is used for detecting whether a service deployment scheme corresponding to the service to be online is stored locally;
and the second obtaining submodule is used for obtaining the service deployment scheme corresponding to the service to be online stored in advance from the local when the detection submodule detects that the service deployment scheme corresponding to the service to be online is stored locally.
12. The apparatus according to any one of claims 7-11, further comprising:
a receiving module, configured to receive feedback information sent by the target server, where the feedback information is generated after the target server runs the service deployment scenario.
13. An electronic device comprising a processor and a machine-readable storage medium storing machine-executable instructions executable by the processor, the processor implementing the method steps of any of claims 1-6 when executing the machine-executable instructions.
14. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1 to 6.
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