CN115051932A - Cloud platform-based remote intelligent operation and maintenance management method for data center - Google Patents
Cloud platform-based remote intelligent operation and maintenance management method for data center Download PDFInfo
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- CN115051932A CN115051932A CN202210680093.1A CN202210680093A CN115051932A CN 115051932 A CN115051932 A CN 115051932A CN 202210680093 A CN202210680093 A CN 202210680093A CN 115051932 A CN115051932 A CN 115051932A
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- 238000007726 management method Methods 0.000 title claims abstract description 28
- 238000012423 maintenance Methods 0.000 title claims abstract description 27
- 238000000034 method Methods 0.000 claims abstract description 16
- 230000008569 process Effects 0.000 claims abstract description 9
- 238000004140 cleaning Methods 0.000 claims abstract description 8
- 238000013500 data storage Methods 0.000 claims abstract description 8
- 230000002159 abnormal effect Effects 0.000 claims description 18
- 230000005856 abnormality Effects 0.000 claims description 7
- 238000012544 monitoring process Methods 0.000 claims description 4
- 230000006855 networking Effects 0.000 claims description 4
- 238000012550 audit Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 2
- 238000012545 processing Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013523 data management Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0823—Errors, e.g. transmission errors
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/02—Standardisation; Integration
- H04L41/0246—Exchanging or transporting network management information using the Internet; Embedding network management web servers in network elements; Web-services-based protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/02—Capturing of monitoring data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/10—Network architectures or network communication protocols for network security for controlling access to devices or network resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
- H04L63/1458—Denial of Service
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/16—Implementing security features at a particular protocol layer
- H04L63/166—Implementing security features at a particular protocol layer at the transport layer
Abstract
The invention provides a cloud platform-based remote intelligent operation and maintenance management method for a data center, which relates to the technical field of data operation and maintenance management and comprises the following steps: s1: initializing information, deploying an EICM information management system in an enterprise data center, arranging department personnel information through adding, deleting and modifying instructions in a database, and searching the arranged and recorded personnel information in the database, S2: in the invention, in the data storage process, a mode of regularly cleaning redundant data is utilized, so that the burden of the server is reduced, and meanwhile, the redundant data is checked with the historical records in a mode of continuously acquiring information in a data table, so that the redundant data can be reserved and deleted according to the similarity of the data, and the method is suitable for multiple files.
Description
Technical Field
The invention relates to the technical field of data operation and maintenance management, in particular to a remote intelligent operation and maintenance management method for a data center based on a cloud platform.
Background
The data center is a global cooperative specific equipment network and is used for transmitting, accelerating, displaying, calculating and storing data information on internet network infrastructure, most of electronic elements of the data center are driven by a low direct current power supply to operate, and with the continuous development of the society, because the flow of people in an enterprise is large, in an information department of the enterprise, corresponding operation and maintenance management is usually carried out on information data of enterprise employees stored in a cloud platform, so that a huge data center is formed.
Chinese patent CN105825275A discloses "an enterprise information operation and maintenance management method", which has the following working procedures: deploying an EICM information management system in an enterprise data center; information department personnel initialize enterprise internal information; inputting or importing new personnel, assets, budgets, projects, contracts and other information; configuring equipment monitoring; the method is characterized in that the method receives the failure reporting of telephones or self-help modes from other departments, and related responsible persons automatically and timely get notifications to follow up, serve and the like, but the application is generally processed through manual operation, and because the cost of manually inputting data is high, redundancy easily occurs in the data management and control process, and the burden of a server is increased.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a cloud platform-based remote intelligent operation and maintenance management method for a data center.
In order to achieve the purpose, the invention adopts the following technical scheme: a remote intelligent operation and maintenance management method for a data center based on a cloud platform comprises the following steps:
s1: information initialization, namely deploying an EICM (enhanced information management center) information management system in an enterprise data center, arranging department personnel information through adding, deleting and modifying instructions in a database, and searching the arranged and input personnel information in the database;
s2: the data uploading step includes that collected data are deployed on a cloud platform, the cloud platform is connected with an independent server inside each enterprise firewall, and the servers and the cloud platform are always connected with the Internet;
s3: the platform operation and maintenance comprises the steps that a safety protection module for carrying out safety protection on a data storage layer and carrying out authentication and auditing on access is built between a cloud platform and a server, so that the cloud platform and the server are subjected to daily safety protection;
s4: monitoring data abnormity, wherein the acquisition terminal automatically detects abnormity, generates an abnormal event and reports the abnormal event under the abnormal condition, and if the terminal equipment has a fault, a fault point of the terminal equipment is identified according to the reported abnormal event;
s5: and managing data, namely acquiring information in a data table in the server, checking historical data, judging whether the information is redundant when the information with high similarity appears in the historical data, and deleting the information when the information is judged to be redundant.
In order to obtain the enterprise employee information, the invention improves that in step S1, the department personnel information includes the department information, personnel personal information and personnel asset information.
In order to construct a Cloud platform, the present invention improves that, in step S2, the Cloud platform is constructed based on Spring boots, Spring Cloud, OAuth2, kubernets and Docker containers.
In order to primarily screen data, the invention improves that, in step S2, in the process of uploading data to the cloud platform, unnecessary data and duplicate data are primarily screened, and whether the uploaded data information belongs to department personnel information is determined.
In order to enable data to be normally transmitted, the invention improves that, in step S2, the transport security protocol established between the server and the cloud platform is an SSH transport protocol established on the basis of an application layer and a transport layer.
In order to save the data, the invention improves that in step S2, the server includes a third party server including, but not limited to, the arilocos, the tengcong cloud, the hua cloud and the kyoto cloud.
In order to improve the security performance of the server, the invention improves that in step S3, the security protection module includes, but is not limited to, a DDoS protection module, a WAF protection module, an ann knight module, a CA certificate authentication module, a database audit module, and an encryption module.
In order to detect an abnormal condition, the present invention improves that, in step S4, the detected abnormality is at least one of an abnormal operation state of the service communication serial port, an abnormal zero crossing, and an abnormal networking.
In order to obtain the contents in the data table, the invention improves that in step S5, the information of the data table is subject domain information, table name information, field information and data source information.
In order to regularly clean the data, the present invention is improved in that, in step S5, a preset cleaning time point may be set for data which is not recorded for a long time, and when the server system time reaches the preset cleaning time point, the data may be cleaned.
Compared with the prior art, the invention has the advantages and positive effects that,
in the invention, in the data storage process, the redundant data is periodically cleaned, so that the load of a server is reduced, and meanwhile, the redundant data is checked with the historical records in a mode of continuously acquiring information in a data table, so that the redundant data can be retained and deleted according to the similarity of the data, the occurrence of repeated data is further reduced, the method is suitable for multi-file use, meanwhile, the safety of the data is improved by arranging a safety protection module, the occurrence of important data leakage is avoided, the system and the terminal equipment can be monitored in real time in the operation process, and when a fault occurs, the system and the terminal equipment can be reported in time, so that the follow-up maintenance processing of people is facilitated.
Drawings
Fig. 1 is a flowchart of steps of a remote intelligent operation and maintenance management method for a data center based on a cloud platform.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be further described with reference to the accompanying drawings and examples. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and thus the present invention is not limited to the specific embodiments of the present disclosure.
In a first embodiment, referring to fig. 1, the present invention provides a technical solution: a remote intelligent operation and maintenance management method for a data center based on a cloud platform comprises the following steps:
s1: information initialization, namely deploying an EICM information management system in an enterprise data center, arranging department personnel information through adding, deleting and modifying instructions in a database, and searching the arranged and input personnel information in the database;
s2: the data uploading step includes that collected data are deployed on a cloud platform, the cloud platform is connected with an independent server inside each enterprise firewall, and the servers and the cloud platform are always connected with the Internet;
s3: the platform operation and maintenance comprises the steps that a safety protection module for carrying out safety protection on a data storage layer and carrying out authentication and auditing on access is built between a cloud platform and a server, so that the cloud platform and the server are subjected to daily safety protection;
s4: monitoring data abnormity, wherein the acquisition terminal automatically detects abnormity, generates an abnormal event and reports the abnormal event under the abnormal condition, and if the terminal equipment has a fault, a fault point of the terminal equipment is identified according to the reported abnormal event;
s5: and managing data, namely acquiring information in a data table in the server, checking historical data, judging whether the information is redundant when the information with high similarity appears in the historical data, and deleting the information when the information is judged to be redundant.
In step S1, the department personnel information includes the department information, personnel personal information, and personnel asset information.
In step S2, the Cloud platform is constructed based on Spring Boot, Spring Cloud, OAuth2, kubernet and Docker container, the Cloud computing platform is also called Cloud platform, which is a service based on hardware resources and software resources and provides computing, networking and storage capabilities, and the Cloud computing platform can be divided into three categories: the cloud computing platform comprises a storage type cloud platform taking data storage as a main part, a computing type cloud platform taking data processing as a main part and a comprehensive cloud computing platform taking computing and data storage processing into consideration.
In step S2, in the process of uploading the data to the cloud platform, the unnecessary data and the duplicate data are primarily screened, and it is determined whether the uploaded data information belongs to department personnel information.
In step S2, the transport security protocol established between the server and the cloud platform is an SSH transport protocol established on the basis of an application layer and a transport layer, and the SSH transport protocol belongs to a data stream connection and is a network transport protocol providing file access, transport, and management functions.
In step S2, the server includes a third party server including, but not limited to, the arilocos, the tengcong, the hua-yun, and the kyoto cloud.
In step S3, the security protection module includes, but is not limited to, a DDoS protection module, a WAF protection module, an ann knight module, a CA certificate authentication module, a database audit module, and an encryption module, the DDoS protection module includes a DDoS protection package, the DDoS protection package is a product that is deployed in the kyoto cloud for a service, and rapidly improves the DDoS attack resistance of the user, and the product has the characteristics of simple configuration, no need of replacing a public network IP, effective protection capability of buying, flexible replacement of a protection object, and the like.
In step S4, the detected abnormality is at least one of an abnormal operation state, a zero-crossing abnormality, and a networking abnormality of the serial port, and the serial port operation state determination method is to make the serial port in a master-slave mode, and the master sends data to the slave, and the slave must respond after receiving the data, otherwise, the slave is regarded as failed in data sending, so that the correctness of data receiving can be ensured.
In step S5, the information of the data table is topic domain information, table name information, field information, and data source information, where the topic domain is used to divide the data mart according to the analysis perspective, and is usually a set of closely related data topics, and these data topics may be divided into different topic domains according to the focus of the service.
In step S5, a preset cleaning time point may be set for data that has not been recorded for a long time, and when the server system time reaches the preset cleaning time point, it may be cleaned.
In the invention, in the data storage process, a mode of regularly cleaning redundant data is utilized, so that the burden of a server is reduced, meanwhile, the redundant data is checked with the historical records in a mode of continuously acquiring information in a data table, so that the redundant data can be reserved and deleted according to the similarity of the data, the occurrence of repeated data is further reduced, the method is suitable for multiple files, meanwhile, the safety of the data is improved by arranging a safety protection module, the occurrence of important data leakage is avoided, the system and the terminal equipment can be monitored in real time in the operation process, and when a fault occurs, the report can be timely carried out, so that the follow-up maintenance processing of people is facilitated.
The above description is only a preferred embodiment of the present invention, and not intended to limit the present invention in other forms, and any person skilled in the art may apply the above modifications or changes to the equivalent embodiments with equivalent changes, without departing from the technical spirit of the present invention, and any simple modification, equivalent change and change made to the above embodiments according to the technical spirit of the present invention still belong to the protection scope of the technical spirit of the present invention.
Claims (10)
1. A remote intelligent operation and maintenance management method for a data center based on a cloud platform is characterized by comprising the following steps:
s1: information initialization, namely deploying an EICM information management system in an enterprise data center, arranging department personnel information through adding, deleting and modifying instructions in a database, and searching the arranged and input personnel information in the database;
s2: the data uploading step includes that collected data are deployed on a cloud platform, the cloud platform is connected with an independent server inside each enterprise firewall, and the servers and the cloud platform are always connected with the Internet;
s3: the platform operation and maintenance comprises the steps that a safety protection module for carrying out safety protection on a data storage layer and carrying out authentication and auditing on access is built between a cloud platform and a server, so that the cloud platform and the server are subjected to daily safety protection;
s4: monitoring data abnormity, wherein the acquisition terminal automatically detects abnormity, generates an abnormal event and reports the abnormal event under the abnormal condition, and if the terminal equipment has a fault, a fault point of the terminal equipment is identified according to the reported abnormal event;
s5: and managing data, namely acquiring information in a data table in the server, checking historical data, judging whether the information is redundant when the information with high similarity appears in the historical data, and deleting the information when the information is judged to be redundant.
2. The cloud platform-based remote intelligent operation and maintenance management method for the data center, according to claim 1, is characterized in that: in step S1, the department personnel information includes the department information, personnel personal information, and personnel asset information.
3. The cloud platform-based remote intelligent operation and maintenance management method for the data center, according to claim 1, is characterized in that: in step S2, the Cloud platform is constructed based on Spring boots, Spring Cloud, OAuth2, kubernets and Docker containers.
4. The cloud platform-based remote intelligent operation and maintenance management method for the data center, according to claim 1, is characterized in that: in step S2, in the process of uploading the data to the cloud platform, the unnecessary data and the duplicate data are primarily screened, and it is determined whether the uploaded data information belongs to department personnel information.
5. The cloud platform-based remote intelligent operation and maintenance management method for the data center, according to claim 1, is characterized in that: in step S2, the transport security protocol established between the server and the cloud platform is an SSH transport protocol established on an application layer and transport layer basis.
6. The cloud platform-based remote intelligent operation and maintenance management method for the data center, according to claim 1, is characterized in that: in step S2, the servers include third party servers including, but not limited to, the arilocos, the tengcong cloud, the hua-yun, and the kyoto cloud.
7. The cloud platform-based remote intelligent operation and maintenance management method for the data center, according to claim 1, is characterized in that: in step S3, the security protection module includes, but is not limited to, DDoS protection module, WAF protection module, answerer module, CA certificate authentication module, database audit module, and encryption module.
8. The cloud platform-based remote intelligent operation and maintenance management method for the data center, according to claim 1, is characterized in that: in step S4, the detected abnormality is at least one of an abnormal operation state of the service communication serial port, a zero-crossing abnormality, and a networking abnormality.
9. The cloud platform-based remote intelligent operation and maintenance management method for the data center, according to claim 1, is characterized in that: in step S5, the information of the data table is subject domain information, table name information, field information, and data source information.
10. The cloud platform-based remote intelligent operation and maintenance management method for the data center, according to claim 1, is characterized in that: in step S5, a preset cleaning time point may be set for data that has not been recorded for a long time, and when the server system time reaches the preset cleaning time point, it may be cleaned.
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