CN114666231A - Visual operation and maintenance management method and system under multi-cloud environment and storage medium - Google Patents

Visual operation and maintenance management method and system under multi-cloud environment and storage medium Download PDF

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CN114666231A
CN114666231A CN202210567523.9A CN202210567523A CN114666231A CN 114666231 A CN114666231 A CN 114666231A CN 202210567523 A CN202210567523 A CN 202210567523A CN 114666231 A CN114666231 A CN 114666231A
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application
resource object
architecture
data
application architecture
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CN114666231B (en
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邹文进
刘颖
曾育权
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Jiajia Technology Co ltd
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Jiajia Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/22Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
    • 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
    • G06F11/3051Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3089Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
    • G06F11/3093Configuration details thereof, e.g. installation, enabling, spatial arrangement of the probes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/12Discovery or management of network topologies

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  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
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  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
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Abstract

The invention discloses a visual operation and maintenance management method, a visual operation and maintenance management system and a storage medium in a multi-cloud environment, which are used for improving the globality and the efficiency of operation and maintenance management, and the method comprises the following steps: abstracting an application and a resource object architecture to obtain a resource object model and an application architecture model, and integrating an operation and maintenance tool in a multi-cloud environment to obtain an integrated operation and maintenance tool; creating a resource object component and an application architecture component based on the resource object model, the application architecture model and the integrated operation and maintenance tool; acquiring resource object data and application data of a target application architecture; automatically rendering a visual topology of the target application architecture based on the resource object data and the application data; and displaying the states of the application and the resource object in the target application architecture and executing the operation and maintenance operations of the application and the resource object in the target application architecture in the visual topological structure based on the resource object component and the application architecture component.

Description

Visual operation and maintenance management method and system under multi-cloud environment and storage medium
Technical Field
The invention relates to the technical field of multi-cloud management, in particular to a visual operation and maintenance management method, a visual operation and maintenance management system and a storage medium in a multi-cloud environment.
Background
With the digital transformation and the cloud native wave, in a cloud environment, especially in a cloudy environment, an Internet Technology (IT) application architecture tends to be complicated, resource objects are numerous, and an administrator lacks an effective means to globally master the states of various objects such as an application, a cloud platform, cloud resources, and the like.
In a conventional data center, an operation and maintenance administrator generally manages resource object data by means of a Configuration Management Database (CMDB), and a visual topology is generated based on an association relationship of the CMDB. However, the traditional CMDB has poor cloud platform and cloud native support, and cannot meet the end-to-end information system visualization display requirement.
Disclosure of Invention
Based on this, the invention aims to provide a visual operation and maintenance management method, a visual operation and maintenance management system and a storage medium under a multi-cloud environment, which are used for improving the globality and the efficiency of operation and maintenance management.
In a first aspect, an embodiment of the present invention provides a visual operation and maintenance management method in a cloud environment, including:
abstracting an application and a resource object architecture to obtain a resource object model and an application architecture model, and integrating an operation and maintenance tool in a multi-cloud environment to obtain an integrated operation and maintenance tool; the resource object model comprises the type, the characteristic and the quantity of the resource object, and the application architecture model comprises the type, the hierarchy, the characteristic and the quantity of the application program;
creating resource object components and application architecture components based on the resource object model, the application architecture model and the integrated operation and maintenance tool;
acquiring resource object data and application data of a target application architecture;
automatically rendering a visualization topology of the target application architecture based on the resource object data and the application data;
and displaying the states of the application and the resource object in the target application architecture and executing the operation and maintenance operations of the application and the resource object in the target application architecture in the visual topological structure based on the resource object component and the application architecture component.
In one possible design, abstracting an application and a resource object architecture to obtain a resource object model and an application architecture model, comprising:
acquiring research conditions obtained after research and investigation are carried out on information systems of all organizations, wherein the research conditions comprise application and resource object architectures used by the information systems of all the organizations;
and summarizing and analyzing the investigation condition, and abstracting the resource object model and the application architecture model.
In one possible design, performing integrated processing on an operation and maintenance tool in a cloud environment to obtain an integrated operation and maintenance tool, includes:
integrating a multi-cloud management platform and an operation and maintenance tool in a multi-cloud environment with a built CMDB, and integrating the multi-cloud management platform with the operation and maintenance tool in the multi-cloud environment through an Application Program Interface (API) to obtain the integrated operation and maintenance tool.
In one possible design, creating resource object components and application architecture components based on the resource object model, the application architecture model, and the integrated operation and maintenance tool includes:
based on the resource object model and the integrated operation and maintenance tool, creating first component basic information corresponding to the resource object, defining attribute fields and operation and maintenance operations of the resource object, and obtaining the resource object component; the first component base information includes: component name, object type;
based on the application architecture model and the integrated operation and maintenance tool, creating second component basic information corresponding to an application architecture, defining each application level, the type of a resource object corresponding to each application level, and defining attribute fields and operation and maintenance operations of the application to obtain the application architecture component; the second component basic information comprises an application name and an application type.
In one possible design, collecting resource object data and application data of a target application architecture includes:
mapping a resource acquisition plug-in of a multi-cloud management platform and a resource object component, and acquiring resource object data of the target application architecture through the resource acquisition plug-in;
acquiring application data acquired by each application discovery service client agent through an application discovery service acquirer integrated on the multi-cloud management platform; and each application discovery service agent is installed on a host in the target application architecture.
In one possible design, automatically rendering a visualization topology of the target application architecture based on the resource object data and the application data includes:
outputting an application relation topological graph corresponding to the target application architecture through a topological sorting algorithm based on the resource object data and the application data, wherein the application relation topological graph comprises an application level and a mapping relation between a resource object and the application level;
and automatically rendering the application relation topological graph to obtain the visual topological structure.
In one possible design, before automatically rendering the visualization topology of the target application architecture based on the resource object data and the application data, the method further comprises:
analyzing the application data to obtain application access relation data;
analyzing the application access relation data through a machine learning algorithm to determine abnormal data of the target application architecture;
after automatically rendering a visualization topology of the target application architecture based on the resource object data and the application data, the method further comprises:
adjusting the visualization topology based on the anomaly data.
In one possible design, based on the resource object component and the application architecture component, exposing the states of the applications and resource objects in the target application architecture in the visualization topology, and executing the operation and maintenance operations of the applications and resource objects in the target application architecture, the method includes:
calling an API (application programming interface) of a monitoring tool to acquire first state data of a resource object of the target application architecture, and identifying and displaying the first state data in the visual topological structure based on the resource object component;
converging and calculating second state data associated with the application of the target application architecture, calling an API (application programming interface) of the monitoring tool to acquire the second state data, and identifying and displaying the second state data in the visual topological structure based on the application architecture component;
providing detail pages corresponding to the application and the resource object of the target application architecture in a display interface of the visualization topological structure, wherein the detail pages corresponding to the resource object of the target application architecture comprise trigger buttons used for triggering execution of operation and maintenance operations of the resource object of the target application architecture, the detail pages corresponding to the application of the target application architecture comprise trigger buttons used for triggering execution of operation and maintenance operations of the application of the target application architecture, and when the trigger buttons of the detail pages corresponding to the application and the resource object of the target application architecture are triggered, the operation and maintenance operations of the application and the resource object of the target application architecture are executed in the visualization structure.
In a second aspect, an embodiment of the present invention further provides a visualized operation and maintenance management system in a cloudy environment, including:
the processing unit is used for carrying out abstract processing on the application and resource object architecture to obtain a resource object model and an application architecture model, and carrying out integrated processing on the operation and maintenance tool in a multi-cloud environment to obtain an integrated operation and maintenance tool; the resource object model comprises the type, the characteristic and the quantity of the resource object, and the application architecture model comprises the type, the hierarchy, the characteristic and the quantity of the application program; creating resource object components and application architecture components based on the resource object model, the application architecture model and the integrated operation and maintenance tool;
the acquisition unit is used for acquiring resource object data and application data of the target application architecture;
a presentation unit for automatically rendering a visual topology of the target application architecture based on the resource object data and the application data; and displaying the states of the application and the resource object in the target application architecture and executing the operation and maintenance operations of the application and the resource object in the target application architecture in the visual topological structure based on the resource object component and the application architecture component.
In one possible design, the processing unit is specifically configured to:
acquiring investigation conditions obtained after investigation and background investigation are carried out on the information systems of all organizations, wherein the investigation conditions comprise application and resource object architectures used by the information systems of all organizations;
and summarizing and analyzing the investigation condition, and abstracting the resource object model and the application architecture model.
In one possible design, the processing unit is specifically configured to:
integrating a multi-cloud management platform and an operation and maintenance tool in a multi-cloud environment with a built CMDB, and integrating the multi-cloud management platform with the operation and maintenance tool in the multi-cloud environment through an Application Program Interface (API) to obtain the integrated operation and maintenance tool.
In one possible design, the processing unit is specifically configured to:
based on the resource object model and the integrated operation and maintenance tool, creating first component basic information corresponding to the resource object, defining attribute fields and operation and maintenance operation of the resource object, and obtaining the resource object component; the first component base information includes: component name, object type;
based on the application architecture model and the integrated operation and maintenance tool, creating second component basic information corresponding to an application architecture, defining each application level, the type of a resource object corresponding to each application level, and defining attribute fields and operation and maintenance operations of the application to obtain the application architecture component; the second component basic information comprises an application name and an application type.
In one possible design, the acquisition unit is used in particular for:
mapping a resource acquisition plug-in of a multi-cloud management platform and a resource object component, and acquiring resource object data of the target application architecture through the resource acquisition plug-in;
acquiring application data acquired by each application discovery service client agent through an application discovery service acquirer integrated on the multi-cloud management platform; and each application discovery service agent is installed on a host in the target application architecture.
In one possible design, the display unit is specifically configured to:
outputting an application relation topological graph corresponding to the target application architecture through a topological sorting algorithm based on the resource object data and the application data, wherein the application relation topological graph comprises an application level and a mapping relation between a resource object and the application level;
and automatically rendering the application relation topological graph to obtain the visual topological structure.
In one possible design, the display unit is further configured to:
analyzing the application data to obtain application access relation data;
analyzing the application access relation data through a machine learning algorithm to determine abnormal data of the target application architecture;
adjusting the visualization topology based on the anomaly data.
In one possible design, the display unit is specifically configured to:
calling an API (application programming interface) of a monitoring tool to acquire first state data of a resource object of the target application architecture, and identifying and displaying the first state data in the visual topological structure based on the resource object component;
converging and calculating second state data associated with the application of the target application architecture, calling an API (application programming interface) of the monitoring tool to acquire the second state data, and identifying and displaying the second state data in the visual topological structure based on the application architecture component;
providing detail pages corresponding to the application and the resource object of the target application architecture in a display interface of the visualization topology structure, wherein the detail pages corresponding to the resource object of the target application architecture comprise trigger buttons for triggering execution of operation and maintenance operations of the resource object of the target application architecture, the detail pages corresponding to the application of the target application architecture comprise trigger buttons for triggering execution of operation and maintenance operations of the application of the target application architecture, and when the trigger buttons of the detail pages corresponding to the application and the resource object of the target application architecture are triggered, the operation and maintenance operations of the application and the resource object of the target application architecture are executed in the visualization structure.
In a third aspect, an embodiment of the present invention further provides a visualized operation and maintenance management system in a cloudy environment, where the visualized operation and maintenance management system in a cloudy environment includes: at least one memory and at least one processor;
the at least one memory is for storing one or more programs;
the one or more programs, when executed by the at least one processor, implement the method as recited in any one of the possible designs of the first aspect above.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where at least one program is stored in the computer-readable storage medium; the at least one program, when executed by a processor, performs the method of any one of the possible designs of the first aspect.
The invention has the following beneficial technical effects:
in the technical scheme provided by the embodiment of the invention, abstract processing is carried out on an application and resource object architecture to obtain a resource object model and an application architecture model, and integrated processing is carried out on an operation and maintenance tool under a multi-cloud environment to obtain an integrated operation and maintenance tool; the resource object model comprises the type, the characteristic and the quantity of the resource object, and the application architecture model comprises the type, the hierarchy, the characteristic and the quantity of the application program; creating a resource object component and an application architecture component based on the resource object model, the application architecture model and the integrated operation and maintenance tool; acquiring resource object data and application data of a target application architecture; automatically rendering a visual topology of the target application architecture based on the resource object data and the application data; and based on the resource object component and the application architecture component, displaying the states of the application and the resource object in the target application architecture in the visual topological structure, and executing the operation and maintenance operations of the application and the resource object in the target application architecture. Through the method, the resource objects and the application component objects scattered at various places can be organized in a visual application architecture topological mode through visual operation and maintenance management, operation and maintenance personnel can be helped to carry out quick and visual operation and maintenance management on the information system in the multi-cloud environment, and therefore the globality and the efficiency of the operation and maintenance management can be improved.
For a better understanding and practice, the invention is described in detail below with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic flow chart of a visualized operation and maintenance management method in a cloud environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another visualized operation and maintenance management method in a cloud environment according to an embodiment of the present invention;
fig. 3 is a schematic architecture diagram of a visualized operation and maintenance management system in a cloud environment according to an embodiment of the present invention;
fig. 4 is a schematic architecture diagram of another visualization operation and maintenance management system in a cloud environment according to an embodiment of the present invention.
Detailed Description
The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of implementations consistent with certain aspects of the present disclosure.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. Unless stated to the contrary, the use of ordinal numbers such as "first," "second," etc., in this document is used to distinguish between multiple objects and does not define the order, sequence, priority, or importance of the multiple objects.
Referring to fig. 1, a visualized operation and maintenance management method in a cloud environment according to an embodiment of the present invention includes the following steps:
and S11, abstracting the application and the resource object architecture to obtain a resource object model and an application architecture model, and integrating the operation and maintenance tool in a multi-cloud environment to obtain an integrated operation and maintenance tool.
When embodied, the resource object model may include, but is not limited to, the type, nature, and number of resource objects, and the application architecture model may include, but is not limited to, the type, hierarchy, nature, and number of applications. By way of example, resource objects may include, but are not limited to, cloud platforms, cloud resources, applications, and the like.
In some embodiments, research scenarios obtained after research studies have been conducted on information systems of various organizations (e.g., businesses or institutions) may be obtained. The research scenario may include, but is not limited to, applications and resource object architectures used by the information systems of the various organizations. Then, the investigation situation is summarized and analyzed, and the resource object model and the application architecture model are abstracted.
For example, the operation and maintenance administrator may investigate the information systems used by the organizations, learn basic information such as types, characteristics, and quantities of main resource objects of the information systems used by the organizations, and learn basic information such as types, hierarchies, characteristics, and quantities of main applications of the application architectures of the information systems used by the organizations.
In the embodiment of the invention, the obtained resource object model and the application architecture model can be used as the standard specification of the application and resource object architecture of each organization by performing abstract processing on the application and resource object architecture, so that certain constraints can be formed on future cloud platforms, cloud resources, application systems and the like.
In some embodiments, the operation and maintenance tool under the multi-cloud management platform and the multi-cloud environment may be integrated with the built unified CMDB, and the multi-cloud management platform may be integrated with the operation and maintenance tool under the multi-cloud environment through an Application Programming Interface (API) to obtain an integrated operation and maintenance tool, so that operations such as operation and maintenance data query and operation execution may be implemented, and the integrated operation and maintenance tool may be defined as an atomic operation on the multi-cloud management platform for the subsequent created resource object component and Application framework component to call.
And S12, creating resource object components and application architecture components based on the resource object model, the application architecture model and the integrated operation and maintenance tool.
In some embodiments, the first component basic information corresponding to the resource object may be created based on the resource object model and the integrated operation and maintenance tool, and the attribute field and the operation and maintenance operation of the resource object may be defined to obtain the resource object component. The first component basic information includes, but is not limited to, a component name and an object type. In a specific implementation, the attribute field of the resource object may be identification information of the resource object, and is used to distinguish different resource objects.
For example, a component name of cloud server can be created, and the object type is virtual machine; the method can customize the attribute field of the resource object according to the actual requirement, such as a use department, according to the resource object model and the integrated operation and maintenance tool, so as to meet the personalized management requirement, and can also customize the operation and maintenance operation of the resource object according to the actual requirement, such as operation and maintenance operations of monitoring, alarming, routing inspection, deployment, automation and the like.
In some embodiments, the application architecture component may be obtained by creating second component basic information corresponding to the application architecture based on the application architecture model and the integrated operation and maintenance tool, defining each application level, a type of a resource object corresponding to each application level, and defining attribute fields and operation and maintenance operations of the application. Wherein, the second component basic information includes but is not limited to application name and application type. In a specific implementation, the attribute field of the application may be identification information of the application, and is used to distinguish different resource objects.
Exemplarily, the attribute field of the application can be customized according to the application architecture model and the integrated operation and maintenance tool and according to the actual requirements, such as application usage, so as to meet personalized management requirements, and the operation and maintenance operation of the application can also be customized according to the actual requirements, such as operation and maintenance operations of monitoring, alarming, routing inspection, test pulling, deployment, release, automation and the like.
And S13, collecting the resource object data and the application data of the target application architecture.
In some embodiments, a resource collection plug-in of the multi-cloud management platform may be mapped with a resource object component, and resource object data of the target application architecture may be collected by the resource collection plug-in. In specific implementation, the multi-cloud management platform has the capability of collecting various resource objects in a multi-cloud environment.
For example, a virtual machine collection plug-in of the multi-cloud management platform may be mapped with a cloud server component, and then virtual machine data may be collected through the virtual machine collection plug-in.
In some embodiments, the application data of the target application architecture may be collected by an application discovery service collector integrated on the multi-cloud management platform. In specific implementation, the application data collected by each application discovery service client agent can be acquired through the application discovery service collector. Wherein each application discovery service agent is installed on a host in the target application architecture.
For example, each application discovery service agent may capture application data, such as metadata, dependency relationship, monitoring data, and the like of a host and a process of the target application architecture, and send the captured application data to the application discovery server. The application discovery server collector may receive application data sent from the respective application discovery service agents.
And S14, automatically rendering the visual topological structure of the target application architecture based on the resource object data and the application data of the target application architecture.
In some embodiments, an application relationship topological graph corresponding to the target application architecture may be output through a topological sorting algorithm based on the resource object data and the application data of the target application architecture. The application relationship topology graph may include, but is not limited to, an application hierarchy, and a mapping relationship between a resource object and the application hierarchy.
In some embodiments, the visual topology of the target application architecture can be obtained by automatically rendering the application relationship topology map.
For example, the following code can be used to implement automatic rendering of the application relationship topology graph:
<template>
<div>
< span > example topology rendering </span >
<div class="bktopo-container">
<div class="bktopo_demo" id="bktopo_demo2">
<div class="none node" id="node-templates" data-container="body" data-placement="top" data-html="true"
data-trigger="hover">
<div class="node-container"><span class="node-text"></span></div>
</div>
<div class="bktopo_box" style="height:350px;"></div>
</div>
</div>
</div>
</template>
<script>
export default {
data() {
return {
data: {
"nodes": [
{
"id": "node1", "x": 361, "y": 20, "height": 50, "width": 180,
"text": browser initiates 'www.qq.com' request "," className ": node success"
},
{
"id": "node2",
"x": 391, "y": 100, "height": 50, "width": 120, "text": local hosts file parsing ",
"className": "node success"
},
{
"id": node3"," x ": 301", "y": 200 "," height ": 50", "width": 100 "," text ": client access network", "className": node "
},
{
"id": node4"," x ": 400", "y": 200 "," height ": 50", "width": 100 "," text ": client access mobile network", "className": node "
},
{
"id": node5"," x ": 499", "y": 200 "," height ": 50", "width": 100 "," text ": client access telecommunications network",
"className": node success "," title ": not subject to DNS server resolution if hosts match successfully. Direct use of IP Access'
},
{
"id": node6"," x ": 233", "y": 300 "," height ": 50", "width": 140 "," text ": unicom DNS server", "className": node "
},
{
"id": node7"," x ": 372", "y": 300 "," height ": 50", "width": 140 "," text ": mobile DNS server", "className": node "
},
{
"id": node8"," x ": 511", "y": 300 "," height ": 50", "width": 140 "," text ": telecommunication DNS server",
"className": "node success"
},
{
"id": "node9", "x": 233, "y": 400, "height": 50, "width": 370,
text, core backbone switching network cluster, className, node success "
},
{
"id": "node19", "x": 343, "y": 500, "height": 50, "width": 150,
"text": WEb Server "," className ": node success"
},
],
"edges": [
{ "source": "node1", "sDirection": 'bottom', "target": "node2", "tDirection": 'top', "edgesType": "success" },
{ "source": "node2", "sDirection": 'bottom', "target": "node5", "tDirection": 'top', "edgesType": "success" },
{ "source": "node3", "sDirection": 'bottom', "target": "node6", "tDirection": 'top', "edgesType": "danger" },
{ "source": "node6", "sDirection": 'bottom', "target": "node9", "tDirection": 'left', "edgesType": "danger" },
{ "source": "node4", "sDirection": 'bottom', "target": "node7", "tDirection": 'top', "edgesType": "danger" },
{ "source": "node5", "sDirection": 'bottom', "target": "node8", "tDirection": 'top', "edgesType": "success" },
{ "source": "node7", "sDirection": 'bottom', "target": "node9", "tDirection": 'top', "edgesType": "danger" },
{ "source": "node8", "sDirection": 'bottom', "target": "node9", "tDirection": 'right', "edgesType": "danger" },
{ "source": "node9", "sDirection": 'bottom', "target": "node19", "tDirection": 'top', "edgesType": "success" }
]
}
}
},
mounted() {
this.init()
},
methods: {
init() {
$('#bktopo_demo2 .bktopo_box').bkTopology({
data this data// configuration data Source
lineType [// type of configuration line
{ type: 'success', lineColor: '#46C37B' },
{ type: 'info', lineColor: '#4A9BFF' },
{ type: 'warning', lineColor: '#f0a63a' },
{ type: 'danger', lineColor: '#c94d3c' },
{ type: 'default', lineColor: '#aaa' }
]
});
}
},
}
</script>
<style scoped>
</style>
And S15, displaying the states of the application and the resource object in the target application architecture in the visual topological structure and executing the operation and maintenance operations of the application and the resource object in the target application architecture based on the resource object component and the application architecture component.
In some embodiments, an API of the monitoring tool may be called to obtain first state data of the resource object of the target application architecture, and based on the resource object component, the first state data is identified and displayed in the visual topology of the target application architecture, for example, different states of the resource object may be identified by using different identification information (e.g., color, etc.), so that the state of the resource object of the target application architecture may be visually known through the visual topology of the target application architecture.
In some embodiments, second state data associated with an application of the target application architecture may be aggregated and calculated, an API of the monitoring tool is called to obtain the second state data, and the second state data is identified and displayed in the visual topology of the target application architecture based on the application architecture component, for example, different states of the application may be identified by using different identification information (e.g., color, etc.), so that the state of the application of the target application architecture may be intuitively known through the visual topology of the target application architecture.
In some embodiments, a detail page corresponding to each of the application and resource objects of the target application architecture may be provided in a display interface of the visualization topology of the target application architecture. The detail page corresponding to the resource object of the target application architecture may include, but is not limited to, a trigger button for triggering execution of an operation and maintenance operation of the resource object of the target application architecture, and the detail page corresponding to the application of the target application architecture may include, but is not limited to, a trigger button for triggering execution of an operation and maintenance operation of the application of the target application architecture. When the trigger button of the detail page corresponding to each of the application and resource object of the target application architecture is triggered, the operation and maintenance operations of the application and resource object in the target application architecture can be executed in the visualization structure of the target application architecture.
Illustratively, by clicking any application name or resource object name in a display interface of a visualization topological structure of the target application architecture, a detail page corresponding to the application or resource object of the target application architecture can be viewed. And the operation and maintenance operation of the application or the resource object of the target application architecture can be executed in the visual topological structure of the target application architecture by right clicking a trigger button of the operation and maintenance operation of the application or the resource object of the target application architecture in the visual topological structure of the target application architecture.
In the embodiment of the invention, through visual operation and maintenance management, resource objects and applications scattered at various positions are organized in a visual application architecture topological mode, and operation and maintenance personnel can be helped to carry out quick and visual operation and maintenance management on an information system in a multi-cloud environment, so that the globality and the efficiency of the operation and maintenance management can be improved.
In an applicable scenario provided by the embodiment of the present invention, as shown in fig. 1-2, the method for visual operation and maintenance management in a cloud environment provided by the embodiment of the present invention may further include the following steps:
and S141, analyzing the application data of the target application architecture to obtain application access relation data, analyzing the application access relation data through a machine learning algorithm, and determining abnormal data corresponding to the target application architecture.
In some embodiments, the application access relationship data may be analyzed according to process features through a machine learning algorithm, the application components in the target application architecture are identified, and performance data of the process is recorded. The application components may include, but are not limited to, one or more of an application, a database, a message queue, and a cache, among others. A first target application architecture corresponding to the target application architecture may then be generated based on the application component and the performance data. Thereafter, based on the application framework component and the first target application framework, exception data, such as missing resource objects, in the target application framework may be identified and an exception may be identified, such as defining a middleware layer in the application framework component, but missing middleware resource objects in the target application framework, which may be identified as an exception.
As an example, the machine learning process described above may be implemented by the following code:
import numpy as np
from itertools import combinations # iteration tool
data = [[1,2,5], [2,4], [2,3], [1,2,4], [1,3], [2,3], [1,3], [1,2,3,5], [1,2,3]]
minsp = 2
d = []
for i in range(len(data)):
d.extend(data[i])
new_d = list(set(d))
def satisfy (s, s _ new, k) # updates the L that does exist
e =[]
ss_new =[]
for i in range(len(s_new)):
for j in combinations (s _ new [ i ], k) # iteration produces all element likelihood combinations
e.append(list(j))
if ([l for l in e if l not in s]) ==[] :
ss_new.append(s_new[i])
e = []
Return ss _ new # screens results that satisfy the conditions
def count (s _ new) # Return C in narray format
num = 0
C = np.copy(s_new)
C = np.column_stack((C, np.zeros(C.shape[0])))
for i in range(len(s_new)):
for j in range(len(data)):
if ([l for l in s_new[i] if l not in data[j]]) ==[] :
num = num+1
C[i,-1] = num
num = 0
return C
Def limit (L) # deletes C that does not meet the threshold
row = []
for i in range(L.shape[0]):
if L[i,-1] < minsp :
row.append(i)
L = np.delete(L, row, 0)
return L
Def generator (L, k) # implements conversion from L to C
s = []
for i in range(L.shape[0]):
s.append(list(L[i,:-1]))
s_new = []
# L = L.delete(L, -1, 1)
# l = L.shape[1]
for i in range(L.shape[0]-1):
for j in range(i+1, L.shape[0]):
if (L[j,-2]>L[i,-2]):
t = list(np.copy(s[i]))
t.append(L[j,-2])
(s _ new. appended (t) # s _ new is tabulated
s_new = satisfy(s, s_new, k)
C = count(s_new)
return C
# initial C and L
C = np.zeros([len(new_d), 2])
for i in range(len(new_d)):
C[i:] = np.array([new_d[i], d.count(new_d[i])])
L = np.copy(C)
L = limit(L)
# start iteration
k = 1
while (np.max(L,-1]) > minsp):
C = generate (L, k) # produces C from L
L = limit (C) # L is produced by C
k = k+1
# De-duplication of Final results
print((list(set([tuple(t) for t in L])))
In some other embodiments, the abnormal data corresponding to the target application architecture may be determined by manually comparing the topology structure of the first application architecture with the topology structure of the target application architecture.
In an applicable scenario provided by the embodiment of the present invention, as shown in fig. 1-2, the method for visual operation and maintenance management in a cloud environment provided by the embodiment of the present invention may further include the following steps:
and S142, adjusting the visual topological structure of the target application architecture based on the abnormal data of the target application architecture.
In particular implementation, for the first application architecture generated through machine learning analysis, there may be an error in the data, which causes the first application architecture to be different from the actual target application architecture, such as lack of object, incorrect association, and the like. Illustratively, the visualization topology of the target application architecture can be adjusted if:
first, missing resource objects or error associations in the target application architecture are artificially complemented.
And secondly, manually comparing the difference between the topological structure of the first application architecture and the topological structure of the target application architecture, and manually adjusting the visual topological structure of the target application architecture.
As can be seen from the above description, compared with the prior art, the method performs abstraction processing on the application and the resource object architecture to obtain the resource object model and the application architecture model, and performs integrated processing on the operation and maintenance tool in the cloud environment to obtain the integrated operation and maintenance tool; the resource object model comprises the type, the characteristic and the quantity of the resource object, and the application architecture model comprises the type, the hierarchy, the characteristic and the quantity of the application program; creating a resource object component and an application architecture component based on the resource object model, the application architecture model and the integrated operation and maintenance tool; collecting resource object data and application data of a target application architecture; automatically rendering a visual topology of the target application architecture based on the resource object data and the application data; and displaying the states of the application and the resource object in the target application architecture and executing the operation and maintenance operations of the application and the resource object in the target application architecture in the visual topological structure based on the resource object component and the application architecture component. Through the method, the resource objects and the application component objects scattered at various places can be organized in a visual application architecture topological mode through visual operation and maintenance management, operation and maintenance personnel can be helped to carry out quick and visual operation and maintenance management on the information system in the multi-cloud environment, and therefore the globality and the efficiency of the operation and maintenance management can be improved.
In a specific implementation process, the following benefits can be brought to the operation and maintenance management of an organization in a cloud environment:
A. application resource visibility: the application and the resource are no longer a pile of unordered data, and the loss of the data can be quickly found based on the application architecture model, so that the resource is prevented from being omitted.
B. Application and resource state visualization: the states of the application and the resources are observed in real time, and the service continuity of the application is guaranteed.
C. And (3) fault and influence correlation analysis: based on the visual topology, the influence analysis can be efficiently carried out by combining the capabilities of a fault association analysis algorithm, a change association analysis algorithm and the like.
D. And (3) fast task execution: operation and maintenance management work related to the application can be executed in the centralized visual topology without jumping various operation and maintenance tools.
Based on the same inventive concept, an embodiment of the present invention further provides a visualized operation and maintenance management system in a cloud environment, and as shown in fig. 3, the visualized operation and maintenance management system 200 in a cloud environment may include:
the processing unit 201 is configured to abstract the application and the resource object architecture to obtain a resource object model and an application architecture model, and perform integrated processing on the operation and maintenance tool in a cloud environment to obtain an integrated operation and maintenance tool; the resource object model comprises the type, the characteristic and the quantity of the resource object, and the application architecture model comprises the type, the hierarchy, the characteristic and the quantity of the application program; creating a resource object component and an application architecture component based on the resource object model, the application architecture model and the integrated operation and maintenance tool;
the acquisition unit 202 is configured to acquire resource object data and application data of a target application architecture;
the presentation unit 203 is configured to automatically render a visual topology of the target application architecture based on the resource object data and the application data; and displaying the states of the application and the resource object in the target application architecture and executing the operation and maintenance operations of the application and the resource object in the target application architecture in the visual topological structure based on the resource object component and the application architecture component.
In one possible design, the processing unit 201 is specifically configured to:
acquiring research conditions obtained after research and investigation are carried out on the information systems of all organizations, wherein the research conditions comprise applications and resource object architectures used by the information systems of all the organizations;
and summarizing and analyzing the investigation condition, and abstracting a resource object model and an application architecture model.
In one possible design, the processing unit 201 is specifically configured to:
integrating a multi-cloud management platform and an operation and maintenance tool in a multi-cloud environment with a built unified configuration management database CMDB, and integrating the multi-cloud management platform with the operation and maintenance tool in the multi-cloud environment through an Application Program Interface (API) to obtain the integrated operation and maintenance tool.
In one possible design, the processing unit 201 is specifically configured to:
based on a resource object model and an integrated operation and maintenance tool, establishing first component basic information corresponding to a resource object, defining attribute fields and operation and maintenance operations of the resource object, and obtaining a resource object component; the first component base information includes: component name, object type;
based on the application architecture model and the integrated operation and maintenance tool, creating second component basic information corresponding to the application architecture, defining each application level, the type of a resource object corresponding to each application level, and defining an attribute field and operation and maintenance operation of the application to obtain an application architecture component; the second component basic information comprises an application name and an application type.
In one possible design, the acquisition unit 202 is specifically configured to:
mapping a resource acquisition plug-in of a multi-cloud management platform and a resource object component, and acquiring resource object data of a target application architecture through the resource acquisition plug-in;
acquiring application data acquired by each application discovery service client agent through an application discovery service acquirer integrated on a multi-cloud management platform; each application discovery service agent is installed on a host in the target application architecture.
In one possible design, the presentation unit 203 is specifically configured to:
outputting an application relation topological graph corresponding to the target application architecture through a topological sorting algorithm based on the resource object data and the application data, wherein the application relation topological graph comprises an application level and a mapping relation between the resource object and the application level;
and automatically rendering the application relation topological graph to obtain a visual topological structure.
In one possible design, presentation unit 203 is further configured to:
analyzing the application data to obtain application access relation data;
analyzing the application access relation data through a machine learning algorithm to determine abnormal data of a target application architecture;
based on the anomaly data, the visual topology is adjusted.
In one possible design, the presentation unit 203 is specifically configured to:
calling an API (application programming interface) of a monitoring tool to acquire first state data of a resource object of a target application architecture, and identifying and displaying the first state data in a visual topological structure based on a resource object component;
converging and calculating second state data associated with the application of the target application architecture, calling an API (application programming interface) of a monitoring tool to acquire the second state data, and identifying and displaying the second state data in the visual topological structure based on the application architecture component;
providing detail pages corresponding to the application and the resource object of the target application architecture in a display interface of the visualization topological structure, wherein the detail pages corresponding to the resource object of the target application architecture comprise trigger buttons for triggering execution of operation and maintenance operations of the resource object of the target application architecture, the detail pages corresponding to the application of the target application architecture comprise trigger buttons for triggering execution of operation and maintenance operations of the application of the target application architecture, and when the trigger buttons of the detail pages corresponding to the application and the resource object of the target application architecture are triggered, the operation and maintenance operations of the application and the resource object in the target application architecture are executed in the visualization structure.
The operation and maintenance visualization management system 200 in the cloud environment in the embodiment of the present invention and the operation and maintenance visualization management method in the cloud environment shown in fig. 1-2 are based on the same concept, and through the foregoing detailed description of the operation and maintenance visualization management method in the cloud environment, a person skilled in the art can clearly understand the implementation process of the operation and maintenance visualization management system 200 in the cloud environment in the embodiment, so for the brevity of the description, no further description is provided here.
Based on the same inventive concept, an embodiment of the present invention further provides a visual operation and maintenance management system in a cloud environment, and as shown in fig. 4, the visual operation and maintenance management system 300 in the cloud environment may include: at least one memory 301 and at least one processor 302. Wherein:
the at least one memory 301 is used to store one or more programs.
When executed by the at least one processor 302, the one or more programs implement the method for visual operation and maintenance management in a cloudy environment as described above with reference to fig. 1-2.
The visualization operation and maintenance management system 300 in the cloud environment may further optionally include a communication interface, where the communication interface is used to perform communication and data interactive transmission with an external device.
It should be noted that the memory 301 may include a high-speed RAM memory, and may also include a nonvolatile memory (nonvolatile memory), such as at least one disk memory.
In a specific implementation process, if the memory, the processor and the communication interface are integrated on one chip, the memory, the processor and the communication interface can complete mutual communication through the internal interface. If the memory, the processor and the communication interface are implemented independently, the memory, the processor and the communication interface may be connected to each other through a bus and perform communication with each other.
Based on the same inventive concept, an embodiment of the present invention further provides a computer-readable storage medium, where at least one program may be stored, and when the at least one program is executed by a processor, the method for visualizing operation and maintenance management in a cloud environment as shown in fig. 1-2 is implemented.
It should be understood that the computer-readable storage medium is any data storage device that can store data or programs which can thereafter be read by a computer system. Examples of computer-readable storage media include: read-only memory, random access memory, CD-ROM, HDD, DVD, magnetic tape, optical data storage devices, and the like.
The computer readable storage medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.
Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.

Claims (10)

1. A visual operation and maintenance management method under a multi-cloud environment is characterized by comprising the following steps:
abstracting an application and a resource object architecture to obtain a resource object model and an application architecture model, and integrating an operation and maintenance tool in a multi-cloud environment to obtain an integrated operation and maintenance tool; the resource object model comprises the type, the characteristic and the quantity of the resource object, and the application architecture model comprises the type, the hierarchy, the characteristic and the quantity of the application program;
creating resource object components and application architecture components based on the resource object model, the application architecture model and the integrated operation and maintenance tool;
acquiring resource object data and application data of a target application architecture;
automatically rendering a visualization topology of the target application architecture based on the resource object data and the application data;
and displaying the states of the application and the resource object in the target application architecture and executing the operation and maintenance operations of the application and the resource object in the target application architecture in the visual topological structure based on the resource object component and the application architecture component.
2. The method of claim 1, wherein abstracting the application and resource object schema to obtain a resource object model and an application schema model comprises:
acquiring investigation conditions obtained after investigation and background investigation are carried out on the information systems of all organizations, wherein the investigation conditions comprise application and resource object architectures used by the information systems of all organizations;
and summarizing and analyzing the investigation condition, and abstracting the resource object model and the application architecture model.
3. The method of claim 1, wherein performing an integration process on the operation and maintenance tool in a cloud environment to obtain an integrated operation and maintenance tool comprises:
integrating a multi-cloud management platform and an operation and maintenance tool in a multi-cloud environment with a built CMDB, and integrating the multi-cloud management platform with the operation and maintenance tool in the multi-cloud environment through an Application Program Interface (API) to obtain the integrated operation and maintenance tool.
4. The method of claim 1, wherein creating resource object components and application framework components based on the resource object model, the application framework model, and the integrated operation and maintenance tool comprises:
based on the resource object model and the integrated operation and maintenance tool, creating first component basic information corresponding to the resource object, defining attribute fields and operation and maintenance operations of the resource object, and obtaining the resource object component; the first component foundation information includes: component name, object type;
based on the application architecture model and the integrated operation and maintenance tool, creating second component basic information corresponding to an application architecture, defining each application level, the type of a resource object corresponding to each application level, and defining an attribute field and operation and maintenance operation of an application to obtain the application architecture component; the second component basic information comprises an application name and an application type.
5. The method of claim 1, wherein collecting resource object data and application data for a target application architecture comprises:
mapping a resource acquisition plug-in of a multi-cloud management platform and a resource object component, and acquiring resource object data of the target application architecture through the resource acquisition plug-in;
acquiring application data acquired by each application discovery service client agent through an application discovery service acquirer integrated on the multi-cloud management platform; and each application discovery service agent is installed on a host in the target application architecture.
6. The method of claim 1, wherein automatically rendering a visualization topology of the target application architecture based on the resource object data and the application data comprises:
outputting an application relation topological graph corresponding to the target application architecture through a topological sorting algorithm based on the resource object data and the application data, wherein the application relation topological graph comprises an application level and a mapping relation between a resource object and the application level;
and automatically rendering the application relation topological graph to obtain the visual topological structure.
7. The method of claim 6, wherein prior to automatically rendering the visualization topology of the target application architecture based on the resource object data and the application data, the method further comprises:
analyzing the application data to obtain application access relation data;
analyzing the application access relation data through a machine learning algorithm to determine abnormal data of the target application architecture;
after automatically rendering a visualization topology of the target application architecture based on the resource object data and the application data, the method further comprises:
adjusting the visualization topology based on the anomaly data.
8. The method of any one of claims 1-7, wherein exposing states of applications and resource objects in the target application architecture, performing operation and maintenance operations of applications and resource objects in the target application architecture in the visualization topology based on the resource object component and the application architecture component comprises:
calling an API (application programming interface) of a monitoring tool to acquire first state data of a resource object of the target application architecture, and identifying and displaying the first state data in the visual topological structure based on the resource object component;
converging and calculating second state data associated with the application of the target application architecture, calling an API (application programming interface) of the monitoring tool to acquire the second state data, and identifying and displaying the second state data in the visual topological structure based on the application architecture component;
providing detail pages corresponding to the application and the resource object of the target application architecture in a display interface of the visualization topology structure, wherein the detail pages corresponding to the resource object of the target application architecture comprise trigger buttons for triggering execution of operation and maintenance operations of the resource object of the target application architecture, the detail pages corresponding to the application of the target application architecture comprise trigger buttons for triggering execution of operation and maintenance operations of the application of the target application architecture, and when the trigger buttons of the detail pages corresponding to the application and the resource object of the target application architecture are triggered, the operation and maintenance operations of the application and the resource object of the target application architecture are executed in the visualization structure.
9. A visual operation and maintenance management system under a multi-cloud environment is characterized by comprising:
the processing unit is used for carrying out abstract processing on the application and resource object architecture to obtain a resource object model and an application architecture model, and carrying out integrated processing on the operation and maintenance tool in a multi-cloud environment to obtain an integrated operation and maintenance tool; the resource object model comprises the type, the characteristic and the quantity of the resource object, and the application architecture model comprises the type, the hierarchy, the characteristic and the quantity of the application program; creating resource object components and application architecture components based on the resource object model, the application architecture model and the integrated operation and maintenance tool;
the acquisition unit is used for acquiring resource object data and application data of the target application architecture;
a presentation unit for automatically rendering a visual topology of the target application architecture based on the resource object data and the application data; and displaying the states of the application and the resource object in the target application architecture and executing the operation and maintenance operations of the application and the resource object in the target application architecture in the visual topological structure based on the resource object component and the application architecture component.
10. A computer-readable storage medium characterized in that the computer-readable storage medium stores at least one program; the at least one program, when executed by a processor, performs the method of any of claims 1-8.
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