CN112256546A - Method and device for monitoring and analyzing software deployment condition - Google Patents
Method and device for monitoring and analyzing software deployment condition Download PDFInfo
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- CN112256546A CN112256546A CN202011181806.7A CN202011181806A CN112256546A CN 112256546 A CN112256546 A CN 112256546A CN 202011181806 A CN202011181806 A CN 202011181806A CN 112256546 A CN112256546 A CN 112256546A
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
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Abstract
The invention discloses a method and a device for monitoring and analyzing software deployment conditions, and relates to the technical field of computers. One embodiment of the method comprises: responding to an instruction for counting the deployment information of the specified software, and acquiring equipment information included by the cluster; acquiring equipment information of the deployed specified software through a management end of the specified software; and analyzing the deployment condition of the specified software according to the equipment information included in the cluster and the equipment information of the deployed specified software. The method and the device can accurately and quickly identify the equipment which is not deployed with the specified software, can quickly monitor and analyze the deployment coverage condition of the specified software, effectively provide the software deployment coverage rate, provide data basis for the promotion of software deployment work, and greatly improve the software deployment efficiency.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for monitoring and analyzing software deployment conditions.
Background
A large group enterprise with a large number of computer devices usually needs to install some general-purpose software system, such as antivirus software, on each computer device. However, in the actual working process, it is necessary to find out which computer device has no antivirus software installed thereon from among the ten thousands of computer devices in use, which is a work that requires a lot of effort and has little effect. In short, it is easy to know which computer devices have software installed thereon, but it is very difficult to know which computer devices have no specific software installed thereon.
In the prior art, the following two schemes are mainly adopted to perform statistical analysis on software deployment conditions in a system cluster:
1. the special person is responsible for checking software installed in the computer equipment one by one and making a table for registration;
2. and reporting by a user of each computer device, then summarizing all reported information, and analyzing the overall situation of software installation.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
1. the technical scheme that a specially-assigned person is responsible for checking is high in checking cost and cannot track dynamic changes of software installation conditions in time;
2. according to the technical scheme of reporting by the equipment user, the accuracy of reported information is not high, the analysis work cost is very high, and the dynamic change of the software installation condition cannot be tracked in time.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for monitoring and analyzing a software deployment situation, which can accurately and quickly identify a device that is not deployed with specified software, quickly monitor and analyze a deployment coverage situation of the specified software, effectively provide a software deployment coverage rate, provide a data basis for promoting a software deployment work, and greatly improve software deployment efficiency.
To achieve the above object, according to an aspect of the embodiments of the present invention, a method for monitoring and analyzing a software deployment condition is provided.
A method for monitoring and analyzing software deployment conditions comprises the following steps: responding to an instruction for counting the deployment information of the specified software, and acquiring equipment information included by the cluster; acquiring equipment information of the deployed specified software through a management end of the specified software; and analyzing the deployment condition of the specified software according to the equipment information included by the cluster and the equipment information of the specified software which is already deployed.
Optionally, the device information included in the cluster is obtained by one or more of the following methods: responding to the IP address allocation of the equipment, and acquiring equipment information of the equipment for allocating the IP address by the DHCP server; responding to the equipment network access request, performing authority authentication on the equipment, and collecting equipment information of the network access equipment; and responding to an operating system login request of the equipment, and recording equipment information for logging in the operating system through the domain control server.
Optionally, after obtaining the device information included in the cluster, the method further includes: and classifying the devices included in the cluster according to the device information to obtain a device set of each category.
Optionally, the manner of classifying the devices included in the cluster includes one or more of the following: classifying the devices included in the cluster according to the use of the devices; classifying the equipment included in the cluster according to the organization mechanism to which the equipment belongs; and classifying the equipment included in the cluster according to the post type of the equipment.
Optionally, analyzing the deployment condition of the specific software according to the device information included in the cluster and the device information on which the specific software has been deployed includes: determining the equipment information of the specified software to be deployed according to the equipment information included by the cluster; and analyzing the deployment condition of the specified software according to the equipment information of the specified software to be deployed and the equipment information of the specified software already deployed.
Optionally, analyzing the deployment condition of the specific software according to the device information included in the cluster and the device information on which the specific software has been deployed includes: acquiring the category of the equipment needing to deploy the specified software; determining the category device set included by the cluster according to the device information included by the cluster; determining a device set of the category in which the specified software has been deployed according to the device information in which the specified software has been deployed; and analyzing the deployment condition of the specified software according to the class of device set included by the cluster and the class of device set in which the specified software has been deployed.
Optionally, analyzing the deployment condition of the specific software according to the device information included in the cluster and the device information on which the specific software has been deployed includes: according to a set period, periodically acquiring equipment information of the specified software, so as to periodically analyze the deployment condition of the specified software; and carrying out comparative analysis on the deployment situation obtained by each analysis.
According to another aspect of the embodiment of the invention, a device for monitoring and analyzing software deployment conditions is provided.
An apparatus for monitoring and analyzing software deployment conditions, comprising: the first acquisition module is used for responding to an instruction for counting the deployment information of the specified software and acquiring the equipment information included by the cluster; the second acquisition module is used for acquiring the equipment information of the deployed specified software through the management end of the specified software; and the deployment analysis module is used for analyzing the deployment condition of the specified software according to the equipment information included by the cluster and the equipment information of the specified software which has been deployed.
According to another aspect of the embodiment of the invention, an electronic device for monitoring and analyzing software deployment conditions is provided.
An electronic device for monitoring and analyzing software deployment conditions, comprising: one or more processors; the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method for monitoring and analyzing the software deployment condition provided by the embodiment of the invention.
According to yet another aspect of embodiments of the present invention, a computer-readable medium is provided.
A computer-readable medium, on which a computer program is stored, the program, when executed by a processor, implementing the method for monitoring and analyzing software deployment scenario provided by an embodiment of the present invention.
One embodiment of the above invention has the following advantages or benefits: acquiring equipment information included by a cluster by responding to an instruction for counting deployment information of specified software; acquiring equipment information of the deployed specified software through a management end of the specified software; according to the equipment information included in the cluster and the equipment information of the deployed specified software, the deployment condition of the specified software is analyzed, the equipment which is not deployed with the specified software can be accurately and quickly identified, the deployment coverage condition of the specified software can be quickly monitored and analyzed, the software deployment coverage rate is effectively provided, a data basis is provided for the promotion of software deployment work, and the software deployment efficiency is greatly improved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
FIG. 2 is a schematic diagram illustrating an implementation principle of a software deployment condition monitoring and analyzing system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the main steps of a method for monitoring and analyzing the deployment situation of software according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the main modules of an apparatus for monitoring and analyzing the deployment of software according to an embodiment of the present invention;
fig. 5 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 illustrates an exemplary system architecture 100 of a method for software deployment monitoring analysis or an apparatus for software deployment monitoring analysis to which embodiments of the present invention may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. Various client applications may be installed on the terminal devices 101, 102, 103, such as firewall applications, antivirus software, instant messaging tool clients, mailbox clients, social platform software clients, and the like (by way of example only).
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (for example only) providing statistics, management of software applications upgraded by users with the terminal devices 101, 102, 103. The backend management server may analyze and perform other processing on the received data such as the software upgrade request or the device login authentication request, and feed back a processing result (for example, software upgrade data information or a login authentication result — just an example) to the terminal device.
It should be noted that the method for monitoring and analyzing the software deployment situation provided by the embodiment of the present invention is generally executed by the server 105, and accordingly, the apparatus for monitoring and analyzing the software deployment situation is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Fig. 2 is a schematic diagram illustrating an implementation principle of a software deployment condition monitoring and analyzing system according to an embodiment of the present invention. The invention provides a system for monitoring and analyzing the deployment condition of software to solve the technical problems in the prior art, which mainly comprises the following modules: the system comprises a computer equipment resource collection module, a computer equipment classification module, a software deployed information collection module, a comprehensive analysis module, a software deployed information display module, a missed deployment data report generation module and the like.
The computer equipment resource collection module is used for collecting equipment information of all computer equipment of a cluster of an enterprise or a company and the like;
the computer equipment classifying module is used for classifying each computer equipment according to information such as geographic position, host name prefix (different in function), allocated IP address number segment and the like and according to a predefined rule;
the software deployed information collecting module is used for collecting equipment information of certain software, for network version software, a client of the software is installed in each computer equipment terminal, when the client of the software and a management terminal carry out data interaction (such as software upgrading), a data interaction log is collected to the management terminal of the software in a unified way, and the computer terminals installed with the software can be easily extracted from the management terminal;
the comprehensive analysis module is used for carrying out comprehensive analysis according to the data collected by the computer equipment resource collection module, the computer equipment classification module and the software deployed information collection module so as to obtain the deployment condition of the specified software in the cluster;
the software deployment information display module is used for acquiring equipment information of software deployment according to the deployment condition of the specified software in the cluster and displaying the equipment information;
the missed deployment data report generation module is used for acquiring the information of the devices missed for deployment according to the deployment condition of the specified software in the cluster, and generating a report, so that a manager can effectively supervise a responsible person to perform the deployment work of the specified software.
Fig. 3 is a schematic diagram of main steps of a method for monitoring and analyzing software deployment according to an embodiment of the present invention. As shown in fig. 3, the method for monitoring and analyzing software deployment according to the embodiment of the present invention mainly includes the following steps S301 to S303.
Step S301: responding to an instruction for counting the deployment information of the specified software, and acquiring equipment information included by the cluster;
step S302: acquiring equipment information of the deployed specified software through a management end of the specified software;
step S303: and analyzing the deployment condition of the specified software according to the equipment information included in the cluster and the equipment information of the deployed specified software.
According to one embodiment of the present invention, the device information included in the cluster may be obtained by one or more of the following:
responding to the IP address allocation of the equipment, and acquiring equipment information of the equipment for allocating the IP address by the DHCP server;
responding to the equipment network access request, performing authority authentication on the equipment, and collecting equipment information of the network access equipment;
and responding to an operating system login request of the equipment, and recording equipment information for logging in the operating system through the domain control server.
The device information includes, for example, information such as a host name, a MAC address, a geographic location, a login account, and an IP address corresponding to the device.
In one embodiment, when a computer device is to join the private network of an enterprise cluster, the computer device needs to be assigned an IP address. In the embodiment of the present invention, when a DHCP (Dynamic Host Configuration Protocol) server allocates an IP address to a computer device according to a request of the computer device, device information such as IP address information, MAC address information, Host name information, and the like on the computer device may be dynamically acquired.
In another embodiment, when a computer device is to access a particular network, authentication of the privileges may be required before the network is switched on. There are many technical means for realizing authority authentication, and the whole authentication process involves information such as account number, IP address, host name, MAC address and the like. The above information can be used as target information for computer equipment resource collection. At this time, the network access authentication server can collect these pieces of information as device information.
In another embodiment, when a computer device needs to log in to the operating system, login authentication is also required, and the domain control server may also collect device information of the computer device that logs in to the operating system.
In an embodiment of the present invention, one or more of the above manners may be selected to collect the device information included in the cluster. When collecting device information in multiple ways, the device information collected in each way needs to be aggregated to obtain more complete full-scale device information, and assuming that the full-scale device information forms a set a, then:
A＝{A1,A2,……,An}；
wherein n is the number of devices, each device AiThe following information is available: host name, MAC address, geographic location, login account number, IP address and the like.
According to another embodiment of the present invention, after obtaining the device information included in the cluster, the method may further include: and classifying the devices included in the cluster according to the device information to obtain a device set of each category. By classifying the devices, the devices required to be installed by the specified software can be better determined, and the software deployment situation can be better analyzed. For example: for a professional mapping software, it is possible that only the relevant technical post equipment needs to be deployed, while other posts, such as financial or administrative posts, do not need to be deployed.
In an embodiment of the present invention, the manner of classifying the devices included in the cluster includes one or more of the following:
classifying the devices included in the cluster according to the use of the devices;
classifying the equipment included in the cluster according to the organization mechanism to which the equipment belongs;
and classifying the equipment included in the cluster according to the post type of the equipment.
In one embodiment of the present invention, the data classified in the above manner is, for example:
(1) the method is divided into the following steps according to the application of the equipment: the system comprises a server, an office terminal, a mobile terminal, Internet of things equipment and the like;
(2) the tissue structure is divided into: head office equipment, subsidiary equipment, branch office equipment;
(3) the method comprises the following steps: technical post equipment, financial post equipment, management post equipment.
The device information recorded in the device list a in step S301 is classified by the device classification according to the usage classification, and the obtained result is, for example:
b (usage classification) ═ BServer apparatus，BOffice terminal equipment，BMobile terminal device，BInternet of things equipment}＝{H,I,J,K}；
Wherein, BServer apparatus＝H＝{H1,H2,……,HmAnd m is the number of server devices.
It will be appreciated by those skilled in the art that the manner in which the devices comprised by the cluster are classified is not limited to the above-listed manner. In the specific implementation process, specific classification modes can be set according to needs.
In addition, for the network version software, in step S302, a software client is deployed in each computer device terminal, and when the client performs data interaction with the management end, the computer device information on which the client is deployed is uniformly summarized to the management end of the software, so that it is easy to extract which computer devices deploy the software from the management end. However, the management end cannot acquire which computer devices do not deploy the software. Assuming that the device list where the specified software has been deployed is E, then:
E＝{E1,E2,……El}；
where l is the number of computer devices that have deployed the specified software.
After the device information included in the cluster and the device information of the deployed specific software are obtained, step S303 may be executed.
According to an embodiment of the present invention, analyzing the deployment condition of the specified software according to the device information included in the cluster and the device information of the specified software that has been deployed includes:
determining equipment information needing to deploy specified software according to the equipment information included in the cluster;
and analyzing the deployment condition of the specified software according to the equipment information of the specified software to be deployed and the equipment information of the specified software already deployed.
According to another embodiment of the present invention, analyzing the deployment situation of the specified software according to the device information included in the cluster and the device information of the specified software that has been deployed includes:
acquiring the category of equipment needing to be deployed with specified software;
determining the device set of the category included by the cluster according to the device information included by the cluster;
determining a device set of the category where the specified software is deployed according to the device information where the specified software is deployed;
and analyzing the deployment condition of the specified software according to the device set of the category and the device set of the category, which is included by the cluster, of the specified software.
In one embodiment, the deployment of a given software is analyzed by:
(1) computer devices that are suitable or require deployment of specified software are identified. Supposing that a device list corresponding to the computer device classification suitable for or needing to be deployed with the specified software is H;
(2) determining that the equipment list with the deployed specified software is E;
(3) the list F of computer devices that have not deployed the specified software is calculated as:
the information of the calculated F list is a list of computer devices that have not deployed the specified software. Wherein, each element of F contains basic information (host name, MAC address, geographical location, login account, IP address, etc.) of a computer device.
After the list F is obtained, the coverage rate of the software deployment situation can be calculated, and correlation analysis can be performed on responsible persons or users corresponding to the computer devices which do not deploy the specified software, departments to which the users belong, and the like, so as to better monitor the deployment of the software and accelerate the software deployment process.
According to another embodiment of the present invention, analyzing the deployment situation of the specified software according to the device information included in the cluster and the device information of the specified software that has been deployed includes:
according to a set period, periodically acquiring equipment information of the deployed specified software to periodically analyze the deployment condition of the specified software;
and carrying out comparative analysis on the deployment situation obtained by each analysis.
When the deployment condition of the software is analyzed, the software can be analyzed only once, and can also be periodically analyzed, so that the deployment condition and the updating of the software can be better monitored. In the embodiment of the invention, the equipment information of the deployed specified software can be acquired every day in a day period, and the deployment condition analysis of the specified software can be performed. Further analysis was performed assuming that the results of two adjacent analyses (with the list of computer devices not deploying the specified software as analysis results) were P, Q, respectively, where P precedes Q in the chronological order of the analyses. Then, based on the results of these two analyses, further:
list of computer devices newly deployed with specified software R:
there is a list of computer devices not deployed with the specified software in the newly discovered computer devices S:
according to the embodiment of the invention, after the analysis result is obtained, the software deployment information can be displayed. Specifically, the following software deployment related information may be presented:
(1) displaying detailed list information of computer equipment which is not currently deployed with specified software;
(2) displaying the coverage rate of the specified software deployment condition;
(3) and comparing the software deployment conditions of two adjacent times. Providing list information of computer equipment newly deployed with specified software and list information of computer equipment which is not deployed with the specified software in newly discovered computer equipment;
(4) and providing a software coverage rate change trend graph in a long time dimension.
In addition, according to the analysis result of the software deployment condition, a report of the missed deployment data can be generated and provided for related personnel, so that the software deployment work can be more accurately promoted, the software coverage rate can be improved, and the like.
In one embodiment of the invention, with the improvement of labor cost and the maturity of the internet of things, 5G and artificial intelligence technologies, a large number of terminals of the internet of things, service robots and other equipment are required to be deployed in an aged community. The devices are characterized in that the physical network is dispersed in different places, and when a demand for deploying certain software on the devices is met and a list of undeployed software devices is combed, if the demand is analyzed by only manual work, the labor cost is high. By using the technical scheme of the invention, the related work can be completed through the following steps:
(1) acquiring a full-scale equipment list through equipment data such as DHCP;
(2) screening out list information of the equipment needing to deploy the Internet of things or service robot equipment according to information such as host names, MAC addresses and the like;
(3) collecting a computer equipment list with deployed specified software through software management section information;
(4) through the data, the list of the computer devices which do not deploy the specified software can be analyzed according to the steps described in the previous embodiment.
Fig. 4 is a schematic diagram of main modules of a device for monitoring and analyzing software deployment according to an embodiment of the present invention. As shown in fig. 4, the apparatus 400 for monitoring and analyzing software deployment conditions according to the embodiment of the present invention mainly includes a first obtaining module 401, a second obtaining module 402, and a deployment analysis module 403.
A first obtaining module 401, configured to obtain, in response to an instruction for performing statistics on deployment information of specified software, device information included in a cluster;
a second obtaining module 402, configured to obtain, by a management end of the specified software, device information in which the specified software has been deployed;
a deployment analysis module 403, configured to analyze a deployment situation of the specified software according to the device information included in the cluster and the device information of the specified software that has been deployed.
According to an embodiment of the present invention, the device information included in the cluster is obtained by one or more of the following methods:
responding to the IP address allocation of the equipment, and acquiring equipment information of the equipment for allocating the IP address by the DHCP server;
responding to the equipment network access request, performing authority authentication on the equipment, and collecting equipment information of the network access equipment;
responding to an operating system login request of equipment, and recording equipment information for logging in the operating system through a domain control server;
according to another embodiment of the present invention, the apparatus 400 for monitoring and analyzing software deployment further includes a device classification module (not shown in the figure) for:
after the device information included in the cluster is obtained, the devices included in the cluster are classified according to the device information, so that a device set of each category is obtained.
According to another embodiment of the invention, the manner of classifying the devices comprised by the cluster comprises one or more of the following:
classifying the devices included in the cluster according to the use of the devices;
classifying the equipment included in the cluster according to the organization mechanism to which the equipment belongs;
and classifying the equipment included in the cluster according to the post type of the equipment.
According to yet another embodiment of the invention, the deployment analysis module 403 may be further configured to:
determining the equipment information of the specified software to be deployed according to the equipment information included by the cluster;
and analyzing the deployment condition of the specified software according to the equipment information of the specified software to be deployed and the equipment information of the specified software already deployed.
According to yet another embodiment of the invention, the deployment analysis module 403 may be further configured to:
acquiring the category of the equipment needing to deploy the specified software;
determining the category device set included by the cluster according to the device information included by the cluster;
determining a device set of the category in which the specified software has been deployed according to the device information in which the specified software has been deployed;
and analyzing the deployment condition of the specified software according to the class of device set included by the cluster and the class of device set in which the specified software has been deployed.
According to yet another embodiment of the invention, the deployment analysis module 403 may be further configured to:
according to a set period, periodically acquiring equipment information of the specified software, so as to periodically analyze the deployment condition of the specified software;
and carrying out comparative analysis on the deployment situation obtained by each analysis.
According to the technical scheme of the embodiment of the invention, equipment information included in the cluster is obtained by responding to the instruction for counting the deployment information of the specified software; acquiring equipment information of the deployed specified software through a management end of the specified software; according to the equipment information included in the cluster and the equipment information of the deployed specified software, the deployment condition of the specified software is analyzed, the equipment which is not deployed with the specified software can be accurately and quickly identified, the deployment coverage condition of the specified software can be quickly monitored and analyzed, the software deployment coverage rate is effectively provided, a data basis is provided for the promotion of software deployment work, and the software deployment efficiency is greatly improved.
Referring now to FIG. 5, a block diagram of a computer system 500 suitable for use with a terminal device or server implementing an embodiment of the invention is shown. The terminal device or the server shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer 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. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present invention may be implemented by software, or may be implemented by hardware. The described units or modules may also be provided in a processor, and may be described as: a processor includes a first acquisition module, a second acquisition module, and a deployment analysis module. The names of these units or modules do not in some cases constitute a limitation on the units or modules themselves, and for example, the first acquisition module may also be described as "a module for acquiring device information included in a cluster in response to an instruction for counting deployment information of specified software".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: responding to an instruction for counting the deployment information of the specified software, and acquiring equipment information included by the cluster; acquiring equipment information of the deployed specified software through a management end of the specified software; and analyzing the deployment condition of the specified software according to the equipment information included by the cluster and the equipment information of the specified software which is already deployed.
According to the technical scheme of the embodiment of the invention, equipment information included in the cluster is obtained by responding to the instruction for counting the deployment information of the specified software; acquiring equipment information of the deployed specified software through a management end of the specified software; according to the equipment information included in the cluster and the equipment information of the deployed specified software, the deployment condition of the specified software is analyzed, the equipment which is not deployed with the specified software can be accurately and quickly identified, the deployment coverage condition of the specified software can be quickly monitored and analyzed, the software deployment coverage rate is effectively provided, a data basis is provided for the promotion of software deployment work, and the software deployment efficiency is greatly improved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for monitoring and analyzing software deployment conditions is characterized by comprising the following steps:
responding to an instruction for counting the deployment information of the specified software, and acquiring equipment information included by the cluster;
acquiring equipment information of the deployed specified software through a management end of the specified software;
and analyzing the deployment condition of the specified software according to the equipment information included by the cluster and the equipment information of the specified software which is already deployed.
2. The method of claim 1, wherein the cluster comprises device information obtained by one or more of the following:
responding to the IP address allocation of the equipment, and acquiring equipment information of the equipment for allocating the IP address by the DHCP server;
responding to the equipment network access request, performing authority authentication on the equipment, and collecting equipment information of the network access equipment;
and responding to an operating system login request of the equipment, and recording equipment information for logging in the operating system through the domain control server.
3. The method of claim 1, after obtaining the device information included in the cluster, further comprising:
and classifying the devices included in the cluster according to the device information to obtain a device set of each category.
4. The method of claim 3, wherein the means for classifying the devices included in the cluster comprises one or more of:
classifying the devices included in the cluster according to the use of the devices;
classifying the equipment included in the cluster according to the organization mechanism to which the equipment belongs;
and classifying the equipment included in the cluster according to the post type of the equipment.
5. The method according to claim 1, wherein analyzing the deployment situation of the specific software according to the device information included in the cluster and the device information of the specific software that has been deployed comprises:
determining the equipment information of the specified software to be deployed according to the equipment information included by the cluster;
and analyzing the deployment condition of the specified software according to the equipment information of the specified software to be deployed and the equipment information of the specified software already deployed.
6. The method according to claim 3, wherein analyzing the deployment situation of the specific software according to the device information included in the cluster and the device information of the specific software that has been deployed comprises:
acquiring the category of the equipment needing to deploy the specified software;
determining the category device set included by the cluster according to the device information included by the cluster;
determining a device set of the category in which the specified software has been deployed according to the device information in which the specified software has been deployed;
and analyzing the deployment condition of the specified software according to the class of device set included by the cluster and the class of device set in which the specified software has been deployed.
7. The method according to any one of claims 1, 5 or 6, wherein analyzing the deployment situation of the specified software according to the device information included in the cluster and the device information of the specified software that has been deployed comprises:
according to a set period, periodically acquiring equipment information of the specified software, so as to periodically analyze the deployment condition of the specified software;
and carrying out comparative analysis on the deployment situation obtained by each analysis.
8. An apparatus for monitoring and analyzing software deployment conditions, comprising:
the first acquisition module is used for responding to an instruction for counting the deployment information of the specified software and acquiring the equipment information included by the cluster;
the second acquisition module is used for acquiring the equipment information of the deployed specified software through the management end of the specified software;
and the deployment analysis module is used for analyzing the deployment condition of the specified software according to the equipment information included by the cluster and the equipment information of the specified software which has been deployed.
9. An electronic device for monitoring and analyzing software deployment conditions, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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