CN115460055A - Cloud platform monitoring method - Google Patents
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- CN115460055A CN115460055A CN202210999167.8A CN202210999167A CN115460055A CN 115460055 A CN115460055 A CN 115460055A CN 202210999167 A CN202210999167 A CN 202210999167A CN 115460055 A CN115460055 A CN 115460055A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 112
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000012423 maintenance Methods 0.000 claims abstract description 54
- 230000000694 effects Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 5
- 230000002411 adverse Effects 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims description 2
- 230000009471 action Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 210000001520 comb Anatomy 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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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
- H04L41/04—Network management architectures or arrangements
- H04L41/046—Network management architectures or arrangements comprising network management agents or mobile agents therefor
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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
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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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
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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
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
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Abstract
The invention relates to the technical field of cloud platform monitoring and discloses a cloud platform monitoring method, which comprises the following steps: s1: acquiring monitoring information, and acquiring monitoring object and index data information through a cloud platform; s2: judging monitoring information, and studying and judging the acquired data information; s3: and monitoring corresponding adjustment, and adjusting corresponding monitored objects and index data according to the judgment of the data information and corresponding maintenance operation. According to the cloud platform monitoring method, through relevant data between monitoring index data and maintenance operation, non-monitored objects in corresponding historical maintenance objects are added to the monitored objects, the monitored objects irrelevant to generated problems are deleted, the monitoring of the cloud platform is more comprehensive and rapid through self-updating of the monitored objects, excessive personnel intervention is not needed, and the working intensity of maintenance personnel is reduced.
Description
Technical Field
The invention relates to the technical field of cloud platform monitoring, in particular to a cloud platform monitoring method.
Background
The cloud computing platform is also called a cloud platform, and is a service based on hardware resources and software resources, and provides computing, network and storage capabilities. Cloud platforms generally have the following features: hardware management is highly abstract to the user/purchaser, who does not know at all where and how the data is processed on the machines located; the investment of users/purchasers on the infrastructure is converted into the operation cost, enterprises and organizations do not need to plan a data center belonging to the enterprises and organizations, and energy does not need to be consumed on IT management unrelated to the main business of the enterprises and organizations; the capabilities of the infrastructure are highly resilient (increasing and decreasing): dynamic expansion and configuration can be performed as required.
At present, cloud computing platforms known in the industry all have own monitoring solutions to monitor the cloud computing platforms. However, the schemes usually adopt a one-time setting mode, and then monitoring items are added or deleted aiming at different workers in the running process of the cloud platform, so that time and labor are wasted, and updating is not timely.
Therefore, a cloud platform monitoring method is provided.
Disclosure of Invention
In order to make up for the defects of the prior art, the invention provides the following technical scheme: a cloud platform monitoring method, the method comprising the steps of:
s1: acquiring monitoring information, and acquiring monitoring objects and index data information through a cloud platform;
s2: judging monitoring information, and studying and judging the acquired data information;
s3: and monitoring corresponding adjustment, and adjusting corresponding monitored objects and index data according to the judgment of the data information and corresponding maintenance operation.
Preferably, the step S1 further includes the steps of:
s101: installation monitoring agent module
Installing an acquisition agent module on a cloud platform;
s102: adjusting monitored objects and index data thresholds
Setting a monitoring object and a corresponding index data threshold according to the type and the function of the cloud platform;
s103: obtaining index data of monitored object
And the acquisition agent module acquires the index data of the monitored objects in the service application layer, the middleware layer and the infrastructure layer at regular time and executes the step S2.
Preferably, the step S2 further includes the steps of:
s201: judging whether the index data of the monitored object exceeds a threshold value
Comparing the index data acquired in step S130 with the threshold value set in step S102;
s202: non-index data exceeding threshold
When no index data exceeds the threshold value, no operation is performed;
s203: single index data exceeding threshold
One index data of the index data exceeds a threshold value;
s204: alerting a user
Sending a warning to a cloud platform user through a user side interface, and stopping user operation;
s205: will make the rear self-contact warning at a time and send warning release notice to the user
After the operation is stopped for a period of time, the rest index data are unchanged, and after the adverse effect is determined not to be generated, the warning removing information is pushed to the user through the prestored mailbox or short message information;
s206: multiple index data exceeding threshold
A plurality of index data of the plurality of index data exceeds a threshold;
s207: simultaneous alerting of user and maintenance personnel
Sending a warning to a cloud platform user through a user side interface, stopping user operation, and sending a warning to cloud platform maintenance personnel at the same time;
s208: after maintenance personnel carry out maintenance operation processing on the object needing maintenance, a warning cancellation notice is sent to the user
And after the maintenance personnel check and comb the monitored object corresponding to the index data and confirm the safety, the warning is confirmed to be released, the warning released information is pushed to the user through a pre-stored mailbox or short message, and the step S3 is executed.
Preferably, the step S3 further includes the steps of:
s301: generating historical monitoring data
Recording and storing all data generated in the step S1 and the step S2;
s302: determining data relevant between monitoring index data and maintenance operation
Generating related data between monitoring index data and maintenance operation according to historical monitoring data;
s303: adjusting the corresponding historical maintenance object to the target object according to the related data
According to the relevant data, items which are not added to the monitoring object in the corresponding history maintenance object are added to the monitoring object through the step S1, and irrelevant monitoring objects are deleted.
Preferably, the collection agent module is installed on a service application layer, a middleware layer and an infrastructure layer of the cloud platform, and the collection agent module is further configured to upload the collected index data to the server side, so that the server side performs classification processing on the collected index data.
Preferably, the monitoring object and the index data threshold are obtained by analyzing big data according to the property and the function of the cloud platform at the early stage, or by analyzing early-stage operation data of the cloud platform.
Preferably, when no index data exceeds the threshold value in step S202, the history data is directly generated in step S3, and other steps are not executed.
Preferably, the time for the user to stop operating in step S205 may be set according to the importance of the target data, and the user is notified.
Preferably, in step S208, the maintenance personnel checks and combs the monitored object and the associated non-monitored object related to the target data according to the target data generating the abnormality.
Preferably, in the step S303, the item that is not added to the monitoring object in the corresponding history maintenance object is added to the monitoring object through the step S102 in the step S1, and the irrelevant monitoring object is deleted.
Advantageous effects
Compared with the prior art, the invention provides a cloud platform monitoring method, which has the following beneficial effects:
1. according to the cloud platform monitoring method, the collection agent module is installed on a service application layer, a middleware layer and an infrastructure layer of a cloud platform, collected index data are uploaded to a server end through the collection agent module, a monitoring object and an early-stage set value of an index data threshold value are obtained according to big data analysis according to the properties and functions of the cloud platform or according to early-stage operation data analysis of the cloud platform, all data are uploaded to the server end, then subsequent steps are executed in sequence, and the cloud platform is reasonably monitored through the set monitoring object and the set index data threshold value of the monitoring object.
2. The cloud platform monitoring method includes the steps that index data of a monitored object collected by a collection agent module are compared with the monitored object and an index data threshold value to obtain three different results, when no index data exceeds the threshold value, historical data are directly generated, other steps are not executed, one index data in the index data exceeds the threshold value, a warning is sent to a cloud platform user through a user side interface, user operation is stopped, after the operation is stopped for a period, the rest index data are unchanged, after it is determined that adverse effects are not generated, warning removing information is pushed to a user through prestored mailbox or short message information, if a plurality of index data in the index data exceed the threshold value, a warning is sent to the cloud platform user through the user side interface, the user operation is stopped, a warning is sent to cloud platform maintenance personnel, after the maintenance personnel check and sort the monitored object corresponding to the index data and confirm safety, the warning is removed, the warning removing information is pushed to the user through the prestored mailbox or short message information, different processing is carried out through different comparison results, operation of the cloud platform is enabled, and the work intensity of the maintenance personnel is reduced.
3. The cloud platform monitoring method comprises the steps of storing all data obtained in the earlier stage, generating historical monitoring data, analyzing according to the historical monitoring data, generating relevant data between monitoring index data and maintenance operation, adding non-monitoring objects in corresponding historical maintenance objects to the monitoring objects, deleting monitoring objects irrelevant to the generated problems, enabling monitoring of a cloud platform to be more comprehensive and rapid through self-updating of the monitoring objects, avoiding intervention of too many persons, and reducing the working intensity of maintenance personnel.
Drawings
Fig. 1 is a first flowchart of a cloud platform monitoring method according to the present invention;
fig. 2 is a flowchart of a cloud platform monitoring method according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, a cloud platform monitoring method includes the following steps:
s1: acquiring monitoring information, and acquiring monitoring objects and index data information through a cloud platform;
s101: installation monitoring agent module
Installing an acquisition agent module on a cloud platform, wherein the acquisition agent module is installed on a service application layer, a middleware layer and an infrastructure layer of the cloud platform;
s102: adjusting monitored objects and index data thresholds
Setting a monitoring object and a corresponding index data threshold according to the type and the function of the cloud platform, wherein the early-stage setting of the monitoring object and the index data threshold is obtained according to the analysis of big data according to the property and the function of the cloud platform or according to the analysis of early-stage operation data of the cloud platform;
s103: obtaining index data of monitored object
The acquisition agent module is used for regularly acquiring index data of the monitored objects in the service application layer, the middleware layer and the infrastructure layer, and is also used for uploading the acquired index data to the server end so that the server end can classify the collected index data and execute the step S2,
s2: judging the monitoring information, and studying and judging the acquired data information;
s201: judging whether the index data of the monitored object exceeds a threshold value
Comparing the index data acquired in step S130 with the threshold value set in step S102;
s202: non-index data exceeding threshold
When no index data exceeds the threshold, generating history data in step S3 directly, and not executing other steps;
s203: single index data exceeding threshold
One index data of the plurality of index data exceeds a threshold value;
s204: alerting a user
Sending a warning to a cloud platform user through a user side interface, and stopping user operation;
s205: will automatically contact the alarm after a period of time and send out alarm release notice to the user
After the operation is stopped for a period of time, the rest index data are unchanged, and after the adverse effect is determined not to be generated, the warning release information is pushed to the user through the pre-stored mailbox or short message information, and the time for the user to stop the operation can be set according to the importance of the target data and the user is informed;
s206: multiple index data exceeding threshold
A plurality of index data of the plurality of index data exceeds a threshold;
s207: simultaneous alerting of user and maintenance personnel
Sending a warning to a cloud platform user through a user side interface, stopping user operation, and sending a warning to cloud platform maintenance personnel at the same time;
s208: after the maintenance personnel carry out maintenance operation processing on the object needing maintenance, the warning cancellation notice is sent to the user
The maintenance personnel checks and combs the monitoring object related to the target data and the related non-monitoring object according to the abnormal target data and confirms safety, then confirms to remove the warning, pushes the warning removing information to the user through the pre-stored mailbox or short message information, and executes the step S3
S3: and monitoring corresponding adjustment, and adjusting corresponding monitored objects and index data according to the judgment of the data information and corresponding maintenance operation.
S301: generating historical monitoring data
Recording and storing all data generated in the step S1 and the step S2;
s302: determining data related to monitoring index data and maintenance operation
Generating related data between monitoring index data and maintenance operation according to historical monitoring data;
s303: adjusting the corresponding historical maintenance object to the target object according to the related data
The method comprises the steps of storing all data obtained in the earlier stage, generating historical monitoring data, analyzing according to the historical monitoring data, generating related data between monitoring index data and maintenance operation, adding non-monitoring objects in corresponding historical maintenance objects to the monitoring objects through the related data between the monitoring index data and the maintenance operation, deleting monitoring objects irrelevant to generated problems, and optimizing the monitoring objects, wherein the acquisition agent module is installed on a business application layer, a middleware layer and an infrastructure layer of a cloud platform, and the acquisition agent module is further used for uploading acquired index data to a server side so that the server side can classify the collected index data.
It is to be noted that, when in use, the collection agent module is installed on the service application layer, the middleware layer and the infrastructure layer of the cloud platform, the collected index data is uploaded to the server end through the collection agent module, the monitoring object and the early-stage set value of the index data threshold are obtained through analysis according to the property and the function of the cloud platform according to big data or according to early-stage operation data of the cloud platform, all data are uploaded to the server end, the index data of the monitoring object collected by the collection agent module is compared with the monitoring object and the index data threshold at the server end, when three different results are obtained, no index data exceeds the threshold, historical data is directly generated, other steps are not executed, one index data in the index data exceeds the threshold, a warning is sent to a cloud platform user through a user end interface, and user operation is stopped, after stopping operating for a period, the rest index data are unchanged, and after determining that no adverse effect is generated, sending warning removing information to a user through a pre-stored mailbox or short message, if a plurality of index data in the index data exceed a threshold value, sending a warning to a cloud platform user through a user interface, when the user operation is stopped, sending a warning to cloud platform maintenance personnel, after the maintenance personnel checks and combs a monitoring object corresponding to the index data and confirms safety, confirming to remove the warning, sending the warning removing information to the user through the pre-stored mailbox or short message, storing all data obtained in the early stage, generating historical monitoring data, analyzing according to the historical monitoring data, generating related data between the monitoring index data and the maintenance operation, and through the related data between the monitoring index data and the maintenance operation, and adding the non-monitoring objects in the corresponding historical maintenance objects to the monitoring objects, and deleting the monitoring objects which are irrelevant to the generated problems.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A cloud platform monitoring method is characterized by comprising the following steps:
s1: acquiring monitoring information, and acquiring monitoring object and index data information through a cloud platform;
s2: judging the monitoring information, and studying and judging the acquired data information;
s3: and monitoring corresponding adjustment, and adjusting corresponding monitored objects and index data according to the judgment of the data information and corresponding maintenance operation.
2. The cloud platform monitoring method according to claim 1, wherein the step S1 further comprises the steps of:
s101: installation monitoring agent module
Installing an acquisition agent module on a cloud platform;
s102: adjusting monitored objects and index data thresholds
Setting a monitoring object and a corresponding index data threshold according to the type and the function of the cloud platform;
s103: obtaining index data of monitored object
And the acquisition agent module acquires the index data of the monitoring objects in the service application layer, the middleware layer and the infrastructure layer at regular time and executes the step S2.
3. The cloud platform monitoring method according to claim 2, wherein the step S2 further comprises the steps of:
s201: judging whether the index data of the monitored object exceeds a threshold value
Comparing the index data acquired in step S130 with the threshold value set in step S102;
s202: non-index data exceeding threshold
When no index data exceeds the threshold value, no operation is performed;
s203: single index data exceeding threshold
One index data of the plurality of index data exceeds a threshold value;
s204: alerting the user of the alert
Sending a warning to a cloud platform user through a user side interface, and stopping user operation;
s205: will automatically contact the alarm after a period of time and send out alarm release notice to the user
After the operation is stopped for a period of time, the rest index data are unchanged, and after the adverse effect is determined not to be generated, the information of warning release is pushed to the user through the pre-stored mailbox or short message information;
s206: multiple index data exceeding threshold
A plurality of index data of the plurality of index data exceeds a threshold;
s207: simultaneously issuing warnings to users and maintenance personnel
Sending a warning to a cloud platform user through a user side interface, stopping user operation, and sending a warning to cloud platform maintenance personnel at the same time;
s208: after maintenance personnel carry out maintenance operation processing on the object needing maintenance, a warning cancellation notice is sent to the user
And after the maintenance personnel check and comb the monitored object corresponding to the index data and confirm the safety, the warning is confirmed to be released, the warning released information is pushed to the user through a pre-stored mailbox or short message, and the step S3 is executed.
4. The cloud platform monitoring method according to claim 3, wherein the step S3 further comprises the steps of:
s301: generating historical monitoring data
Recording and storing all data generated in the step S1 and the step S2;
s302: determining data related to monitoring index data and maintenance operation
Generating related data between monitoring index data and maintenance operation according to historical monitoring data;
s303: adjusting the corresponding historical maintenance object to the target object according to the related data
According to the relevant data, items which are not added to the monitoring object in the corresponding history maintenance object are added to the monitoring object through the step S1, and irrelevant monitoring objects are deleted.
5. The cloud platform monitoring method according to claim 2, wherein: the acquisition agent module is arranged on a service application layer, a middleware layer and an infrastructure layer of the cloud platform, and is further used for uploading acquired index data to the server side so that the server side can classify and process the collected index data.
6. The cloud platform monitoring method according to claim 2, wherein: the monitoring object and the index data threshold are obtained according to the property and the function of the cloud platform or according to the early-stage operation data analysis of the cloud platform.
7. The cloud platform monitoring method according to claim 3, wherein: if no index data exceeds the threshold value in step S202, the history data is directly generated in step S3, and other steps are not executed.
8. The cloud platform monitoring method according to claim 3, wherein: in step S205, the time for the user to stop operating is set according to the importance of the target data, and the user is notified.
9. The cloud platform monitoring method according to claim 3, wherein: in the step S208, the maintenance personnel will check and comb the monitored object and the non-monitored object related to the target data according to the target data generating the abnormality.
10. The cloud platform monitoring method according to claim 1, wherein: in step S303, the items that are not added to the monitoring object in the corresponding history maintenance object are added to the monitoring object through step S102 in step S1, and irrelevant monitoring objects are deleted.
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