CN112506754A - System performance monitoring method and platform - Google Patents
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Abstract
The embodiment of the invention relates to the technical field of computers, and discloses a system performance monitoring method and a platform, wherein the method comprises the following steps: starting a target performance acquisition thread to acquire real-time performance indexes of a monitored module, wherein the real-time performance indexes comprise basic performance indexes and/or process performance indexes of a system; comparing the difference value of the real-time performance index and the reference performance index in the same period; when the difference value exceeds a preset threshold value, carrying out abnormity early warning; the system performance can be automatically monitored through the performance acquisition thread, and the overall performance monitoring and analysis of the system are completed, so that early warning is performed when abnormality occurs, and the operation and maintenance effect is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a system performance monitoring method and a system performance monitoring platform.
Background
With the rapid development of the informatization process, the operation of business of each industry is more and more concentrated on an information system or an information platform, meanwhile, the difficulty of Internet Technology (IT) operation and maintenance is more and more, the IT operation and maintenance also gradually realizes the transition from manual operation and maintenance to computer management, but the IT operation and maintenance management of many enterprises is still in a semi-automatic operation and maintenance state.
In practice, IT is found that the IT operation and maintenance involves various responsibilities and departments such as data acquisition and evaluation related staff, capacity planning staff, technical experts and process responsible staff, the existing semi-automatic operation and maintenance management depends more on the operation and maintenance staff, and the operation and maintenance staff are difficult to judge the health degree of the IT environment from the global perspective and directly influence the operation and maintenance effect of an information system or an information platform.
Disclosure of Invention
The embodiment of the invention discloses a system performance monitoring method and a system performance monitoring platform, which are used for realizing overall performance monitoring and analysis of an information system or an information platform and improving operation and maintenance effects.
The first aspect of the embodiments of the present invention discloses a system performance monitoring method, which may include:
starting a target performance acquisition thread to acquire real-time performance indexes of a monitored module, wherein the real-time performance indexes comprise basic performance indexes and/or process performance indexes of a system;
comparing the difference value of the real-time performance index and the reference performance index in the same period;
and when the difference value exceeds a preset threshold value, carrying out abnormity early warning.
As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:
acquiring performance index samples of the monitored module within the appointed monitoring time acquired by the target performance acquisition thread, wherein the performance index samples comprise basic performance index samples and/or process performance index samples of the system;
the performance index samples are trained by a Variational encoder (VAE) algorithm to obtain a plurality of periods, and each period is associated with and stored in a corresponding reference performance index.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the starting of the target performance acquiring thread to acquire the real-time performance index of the monitored module includes:
starting a first performance acquisition thread as the target acquisition thread, and acquiring basic performance indexes of the system under the monitored module, wherein the basic performance indexes of the system at least comprise a Central Processing Unit (CPU) utilization rate, a hard disk occupancy rate and flow of the system;
and/or starting the second performance acquisition thread as the target acquisition thread aiming at the started process of the monitored module, and acquiring the process performance index of the process;
and acquiring the real-time performance index of the monitored module according to the basic performance index and/or the process performance index.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the starting of the target performance acquiring thread acquires the real-time performance index of the monitored module, the method further includes:
formatting the real-time performance index according to a preset storage format to obtain a performance index to be stored and storing the performance index to be stored, wherein the preset storage format is as follows: performance index name + network Protocol (IP) address + performance index value + device name + tag.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the starting of the target performance acquiring thread acquires the real-time performance index of the monitored module, the method further includes:
and displaying the real-time performance index and the corresponding module on a user use page in a related manner.
The second aspect of the embodiments of the present invention discloses a system performance monitoring platform, which may include:
the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for starting a target performance acquisition thread to acquire real-time performance indexes of a monitored module, and the real-time performance indexes comprise basic performance indexes and/or process performance indexes of the system;
the comparison module is used for comparing the difference value of the real-time performance index and the reference performance index in the same period;
and the early warning module is used for carrying out abnormal early warning when the difference value exceeds a preset threshold value.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the platform further includes:
the acquisition module is used for acquiring performance index samples of the monitored module within the appointed monitoring time acquired by the target performance acquisition thread, wherein the performance index samples comprise basic performance index samples and/or process performance index samples of the system;
and the training module is used for training the performance index samples by utilizing a VAE algorithm of a variational encoder to obtain a plurality of periods and storing each period in association with the corresponding reference performance index.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the acquisition module is specifically configured to start a first performance acquisition thread as the target acquisition thread, and acquire basic performance indexes of the system under the monitored module, where the basic performance indexes of the system at least include a CPU usage rate, a hard disk occupancy rate, and a flow rate of the system; and/or starting the second performance acquisition thread as the target acquisition thread aiming at the started process of the monitored module, and acquiring the process performance index of the process; and acquiring the real-time performance index of the monitored module according to the basic performance index and/or the process performance index.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the platform further includes:
the storage module is used for formatting the real-time performance index according to a preset storage format after the acquisition module starts a target performance acquisition thread to acquire the real-time performance index of the monitored module, so as to obtain a performance index to be stored, and storing the performance index to be stored, wherein the preset storage format is as follows: performance index name + network protocol IP address + performance index value + device name + tag.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the platform further includes: and the display module is used for displaying the real-time performance index and the corresponding module in a related manner on a user use page after the acquisition module starts a target performance acquisition thread to acquire the real-time performance index of the monitored module.
A third aspect of an embodiment of the present invention discloses an electronic device, which may include:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the system performance monitoring method disclosed by the first aspect of the embodiment of the invention.
A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium, which stores a computer program, where the computer program enables a computer to execute the system performance monitoring method disclosed in the first aspect of the embodiments of the present invention.
A fifth aspect of embodiments of the present invention discloses a computer program product, which, when run on a computer, causes the computer to perform some or all of the steps of any one of the methods of the first aspect.
A sixth aspect of the present embodiment discloses an application publishing platform, where the application publishing platform is configured to publish a computer program product, where the computer program product is configured to, when running on a computer, cause the computer to perform part or all of the steps of any one of the methods in the first aspect.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the real-time performance index of the monitored module is acquired through a target performance acquisition thread, wherein the implementation performance index comprises a basic performance index and/or a process performance index of a system, then the difference value of the acquired real-time performance index and the reference performance index in the same period is compared, and when the difference value exceeds a preset threshold value, abnormal early warning is carried out; therefore, the embodiment of the invention can automatically monitor the system performance through the performance acquisition thread, complete the overall performance monitoring and analysis of the system, and perform early warning in abnormal conditions, thereby improving the operation and maintenance effect.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a system performance monitoring method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a system performance monitoring method according to a second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a system performance monitoring platform according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a system performance monitoring platform according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure.
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.
It should be noted that the terms "first", "second", "third", and "fourth" and the like in the description and the claims of the present invention are used for distinguishing different objects, and are not used for describing a specific order. The terms "comprises," "comprising," and any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses a system performance monitoring method and a system performance monitoring platform, which are used for completing overall performance monitoring and analysis of an information system or an information platform so as to perform early warning in abnormal conditions and improve operation and maintenance effects.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a system performance monitoring method according to an embodiment of the present invention; as shown in fig. 1, the system performance monitoring method may include:
101. and starting a target performance acquisition thread to acquire real-time performance indexes of the monitored module, wherein the real-time performance indexes comprise basic performance indexes and/or process performance indexes of the system.
The basic performance indexes of the system can include CPU utilization rate, hard disk occupancy rate, flow and the like; process performance indicators may include CPU usage, disk I/O rates, etc. for a process. It can be understood that the CPU utilization of the process may reflect the running condition of the process to a great extent, and therefore, the CPU utilization of the process may be used as a performance index for monitoring the running condition of the process.
The performance acquisition thread refers to a thread started for acquiring a performance index, and any performance acquisition thread for acquiring a performance index mentioned in the present invention may be used as a target performance acquisition thread, for example, a first performance acquisition thread and a second performance acquisition thread mentioned later, and further description about the first performance acquisition thread and the second performance acquisition thread will be described in detail in embodiments later.
In the embodiment of the invention, the monitored module can be a certain module of a certain information system, the certain module of the certain information system can contain a plurality of devices, and the certain information system is divided in a modularization mode, so that the invention provides centralized modularization management for the certain information system and improves the operation and maintenance effect. For example, a certain information system may be a power information system, a nuclear power information system, or a grid information system, etc. For example, if a certain information system is a power information system, a certain module is a plurality of devices in the power information system, the power information system is modularly divided to realize the modularized management of the power information system, and the invention is utilized to realize the performance overall monitoring and analysis of the power information system so as to improve the operation and maintenance effect.
Optionally, after the target performance acquisition thread is started, the real-time performance index may be acquired at a certain interval, for example, at an interval of one minute. And directly adding the acquired real-time performance indexes into a sending queue.
As an optional implementation manner, after the real-time performance index of the performance collection thread collection system is started, the following steps may be further performed:
formatting the acquired real-time performance index according to a preset storage format to obtain a performance index to be stored and storing the performance index to be stored, wherein the preset storage format is as follows: performance index name + network protocol IP address + performance index value + device name + tag.
Wherein, the preset storage format is as follows: performance index name + IP address + performance index value + device name + tag, where the performance index name is the name of the performance index, e.g., the performance index name is CPU utilization; the device name is the name of the device related to the monitored module; the performance index value is a specific parameter of the performance index, for example, 60%, that is, the utilization rate of the CPU is 60%; the tag is typically used to indicate that it is used differently when one performance indicator has multiple different copies of data, e.g., the value of the tag is not empty when there are multiple hard disk regions in the hard disk occupancy, and the tag is empty in other cases.
Through the embodiment, the performance index storage with a unified format can be realized, and the management is convenient.
As an optional implementation manner, after the real-time performance index of the performance collection thread collection system is started, the following steps may be further performed:
and displaying the real-time performance index and the corresponding module on the user use page in a related manner.
The collected real-time performance indexes can be displayed in a sub-module mode on a user use page, so that the user can check the performance indexes according to the module, and checking, monitoring and analyzing are facilitated.
Further optionally, the real-time performance index may be displayed in a graphical display manner according to the module, and a viewing manner of the single-machine service performance or the overall service performance generated by superimposing all data is provided for the user to view.
In another optional implementation, after the performance acquisition thread is started to acquire the real-time performance index of the system, the following steps may be further performed:
and displaying the performance index to be stored in a related manner on the user use page.
It can be understood that the performance index to be stored is more visual, the performance index to be stored is directly displayed to a user, and the user can conveniently and visually know the running condition of the monitored module.
102. And comparing the difference value of the real-time performance index and the reference performance index in the same period.
In the embodiment of the invention, a reference performance index for reference is obtained by learning the system performance index in each period in advance, and whether abnormality exists is detected by comparison.
103. And when the difference value exceeds a preset threshold value, carrying out abnormity early warning.
Whether an abnormality (system abnormality or process abnormality or the like) occurs can be monitored by comparing the difference value between the real-time performance index and the reference performance index in the same period and judging whether the difference value exceeds a preset threshold value. For example, the preset threshold may be set to 10% for the CPU utilization of the process, and then when the CPU utilization of the process is 80%, and the reference performance index of the same period is 65%, the difference value is 15%, which exceeds the preset threshold by 10%, which indicates that the running state of the process fluctuates greatly, and the process is very large and may be abnormal, and when the difference value does not exceed 10%, the process may not be abnormal. Of course, the preset threshold may also be set to other values, and the preset threshold is specifically set according to the actual situation to improve the accuracy of determining whether the process is abnormal.
Optionally, the abnormality warning may be a field alarm, and/or notify a manager or user, etc.
Further optionally, an alarm masking rule may be set for the abnormal warning, for example, the alarm masking rule may be: only performing field alarm within the specified time after the abnormity is determined, and not notifying management personnel or users, so as to avoid harassment to the management personnel or users during maintenance; if the abnormity still exists after the specified time is exceeded, the management personnel or the user is informed, for example, the abnormity early warning information is sent to the communication equipment of the management personnel or the user, such as a mobile phone, and the like, so that the abnormity can be timely solved, and the operation and maintenance efficiency and effect are improved.
In the embodiment of the invention, the real-time performance index of the monitored module is acquired through a target performance acquisition thread, wherein the implementation performance index comprises a basic performance index and/or a process performance index of a system, then the difference value of the acquired real-time performance index and the reference performance index in the same period is compared, and when the difference value exceeds a preset threshold value, abnormal early warning is carried out; therefore, the embodiment of the invention can automatically monitor the system performance through the performance acquisition thread, complete the overall performance monitoring and analysis of the system, and perform early warning in abnormal conditions, thereby improving the operation and maintenance effect.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart of a system performance monitoring method according to a second embodiment of the present invention; as shown in fig. 2, the system performance monitoring method may include:
201. and starting a first performance acquisition thread as a target acquisition thread, and acquiring basic performance indexes of the system under the monitored module, wherein the basic performance indexes of the system at least comprise the CPU utilization rate, the hard disk occupancy rate and the flow of the system.
The first performance acquisition thread may be started to exclusively acquire basic performance indexes of the system, including CPU utilization, hard disk occupancy, and traffic of the system.
Optionally, after the first performance collection thread is started, the basic performance index of the system may be collected at a certain interval, for example, at an interval of one minute. And directly adding the acquired basic performance indexes into a sending queue. The first performance acquisition thread is kept in an open state when software or hardware entities of the system run (agent), namely, the first performance acquisition thread is always in a working state and cannot be stopped.
As an optional implementation manner, after the first performance acquisition thread is started as a target acquisition thread and the basic performance index of the system under the monitored module is acquired, the following steps may be further performed:
and formatting the acquired basic performance index of the system according to the preset storage format, and storing the basic performance index of the system after formatting as a performance index to be stored.
Through the embodiment, the performance index storage with a unified format can be realized, and the management is convenient.
202. And starting a second performance acquisition thread as a target acquisition thread aiming at the started process of the monitored module, and acquiring the process performance index of the process.
The process performance indicators include the CPU usage rate, disk I/O rate, etc. of the process.
The first performance acquisition thread and the second performance acquisition thread may perform acquisition simultaneously.
In combination with step 201 and step 202, the target performance acquisition thread may be the first performance acquisition thread, or the first performance acquisition thread and the second performance acquisition thread. It can be understood that the basic performance index of the system needs to be acquired under any condition, so that the target performance acquisition thread may be only the first performance acquisition thread; after the process is started, a second performance acquisition thread needs to be started, so that the target performance acquisition thread comprises a first performance acquisition thread and a second performance acquisition thread.
Optionally, after the second performance collection thread is started, the process performance index of the process may be collected at a certain interval, for example, at an interval of one minute. And directly adding the acquired process performance indexes into a sending queue. When the process is in an open state, the second performance acquisition thread keeps the open state; when the process stops, the acquisition is stopped.
As an optional implementation manner, after the second performance collection thread is started as a target collection thread for the started process of the monitored module and the process performance index of the process is collected, the following steps may be further performed:
and formatting the acquired process performance index according to the preset storage format, and storing the formatted process performance index as a performance index to be stored.
Through the embodiment, the performance index storage with a unified format can be realized, and the management is convenient.
203. And acquiring the real-time performance index of the monitored module according to the basic performance index and/or the process performance index.
After the real-time performance index is obtained, the real-time performance index and the corresponding module can be displayed in a related mode on a user use page. The collected real-time performance indexes can be displayed in a user use page in a sub-module mode, so that the user can check the performance indexes according to the module, and checking, monitoring and analyzing are facilitated.
Further optionally, the real-time performance index may be displayed in a graphical display manner according to the module, and a viewing manner of the single-machine service performance or the overall service performance generated by superimposing all data is provided for the user to view.
204. And comparing the difference value of the real-time performance index and the reference performance index in the same period.
As an optional implementation manner, the embodiment of the present invention may further perform the following steps:
acquiring performance index samples of a monitored module in appointed monitoring time, wherein the performance index samples are acquired by a target performance acquisition thread and comprise basic performance index samples and/or process performance index samples of a system;
training the performance index sample by utilizing a VAE algorithm to obtain a plurality of periods and storing each period in association with a corresponding reference performance index.
The historical performance index of the monitored module within the appointed monitoring time can be obtained as a performance index sample, for example, the historical performance index of a continuous year is obtained as the performance index sample; then, training the performance index samples by utilizing a VAE algorithm, and extracting time trends, namely extracting periods corresponding to different running states, so as to obtain a plurality of periods corresponding to different running states, wherein one running state corresponds to one period; and storing each cycle in association with a corresponding reference performance indicator for use in subsequent analysis, such as anomaly analysis.
205. And when the difference value exceeds a preset threshold value, carrying out abnormity early warning.
Accordingly, when the difference value does not exceed the preset threshold value, no processing is performed.
In the embodiment of the invention, a first performance acquisition thread acquires basic performance indexes of a system of a monitored module, a second performance acquisition thread acquires process performance indexes, real-time performance indexes are obtained by combining the basic performance indexes and the process performance indexes of the system, then the difference value of the acquired real-time performance indexes and the reference performance indexes in the same period is compared, and when the difference value exceeds a preset threshold value, abnormity early warning is carried out; therefore, the embodiment of the invention can automatically monitor the system performance through the performance acquisition thread, complete the overall performance monitoring and analysis of the system, and perform early warning in abnormal conditions, thereby improving the operation and maintenance effect.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a system performance monitoring platform according to an embodiment of the present invention; as shown in fig. 3, the system performance monitoring platform may include:
the acquisition module 310 is configured to start a target performance acquisition thread to acquire real-time performance indexes of the monitored module, where the real-time performance indexes include basic performance indexes and/or process performance indexes of a system;
a comparison module 320, configured to compare the difference between the real-time performance index and a reference performance index in the same period;
the early warning module 330 is configured to perform an abnormal early warning when the difference value exceeds a preset threshold.
Acquiring real-time performance indexes of a monitored module through a target performance acquisition thread by implementing the platform, wherein the implementation performance indexes comprise basic performance indexes and/or process performance indexes of a system, then comparing difference values of the acquired real-time performance indexes and reference performance indexes in the same period, and performing abnormity early warning when the difference values exceed a preset threshold value; therefore, the embodiment of the invention can automatically monitor the system performance through the performance acquisition thread, complete the overall performance monitoring and analysis of the system, and perform early warning in abnormal conditions, thereby improving the operation and maintenance effect.
As an optional implementation manner, the acquiring module 310 is specifically configured to start a first performance acquiring thread as the target acquiring thread, and acquire basic performance indexes of the system under the monitored module, where the basic performance indexes of the system at least include a CPU usage rate, a hard disk occupancy rate, and a flow rate of the system; and/or starting a second performance acquisition thread as the target acquisition thread aiming at the started process of the monitored module, and acquiring the process performance index of the process; and obtaining the real-time performance index of the monitored module according to the basic performance index and/or the process performance index.
Example four
Referring to fig. 4, fig. 4 is a schematic structural diagram of a system performance monitoring platform according to a second embodiment of the present invention; as shown in fig. 4, the system performance monitoring platform is optimized based on fig. 3, and the system performance monitoring platform shown in fig. 4 further includes:
an obtaining module 410, configured to obtain performance index samples of a monitored module within a specified monitoring time, where the performance index samples are collected by a target performance collection thread, and the performance index samples include basic performance index samples of a system and/or process performance index samples;
the training module 420 is configured to train the performance index samples by using a variational encoder VAE algorithm to obtain a plurality of periods, and store each period in association with a corresponding reference performance index.
The historical performance index of the monitored module within the appointed monitoring time can be obtained as a performance index sample, for example, the historical performance index of a continuous year is obtained as the performance index sample; then, training the performance index samples by utilizing a VAE algorithm, and extracting time trends, namely extracting periods corresponding to different running states, so as to obtain a plurality of periods corresponding to different running states, wherein one running state corresponds to one period; and storing each cycle in association with a corresponding reference performance indicator for use in subsequent analysis, such as anomaly analysis.
A storing module 430, configured to format the real-time performance index according to a preset storage format after the acquiring module 310 starts the target performance acquiring thread to acquire the real-time performance index of the monitored module, so as to obtain the performance index to be stored, and store the performance index to be stored, where the preset storage format is: performance index name + network protocol IP address + performance index value + device name + tag.
Wherein, the preset storage format is as follows: performance index name + IP address + performance index value + device name + tag, where the performance index name is the name of the performance index, e.g., the performance index name is CPU utilization; the device name is the name of the device related to the monitored module; the performance index value is a specific parameter of the performance index, for example, 60%, that is, the utilization rate of the CPU is 60%; the tag is typically used to indicate that it is used differently when one performance indicator has multiple different copies of data, e.g., the value of the tag is not empty when there are multiple hard disk regions in the hard disk occupancy, and the tag is empty in other cases.
The storage module 430 realizes the storage of the performance indexes in a uniform format, and is convenient for management.
The display module 440 is configured to, after the acquisition module 310 starts the target performance acquisition thread to acquire the real-time performance index of the monitored module, display the real-time performance index and the corresponding module in a user-used page in a related manner.
The collected real-time performance indexes can be displayed in a sub-module mode on a user use page, so that the user can check the performance indexes according to the module, and checking, monitoring and analyzing are facilitated.
EXAMPLE five
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure; the electronic device shown in fig. 5 may include: at least one processor 510, such as a CPU, a communication bus 530 is used to enable communication connections between these components. Memory 520 may be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The memory 520 may optionally be at least one memory device located remotely from the processor 510. Wherein the processor 510 may be combined with the platforms described in fig. 3 to 4, the memory 510 stores a set of program codes, and the processor 510 calls the program codes stored in the memory 520 to perform the following operations:
starting a target performance acquisition thread to acquire real-time performance indexes of a monitored module, wherein the real-time performance indexes comprise basic performance indexes and/or process performance indexes of a system;
comparing the difference value of the real-time performance index and the reference performance index in the same period;
and when the difference value exceeds a preset threshold value, carrying out abnormity early warning.
As an alternative embodiment, the processor 510 is further configured to perform the following steps:
acquiring performance index samples of a monitored module in specified monitoring time acquired by a target performance acquisition thread, wherein the performance index samples comprise basic performance index samples and/or process performance index samples of a system;
and training the performance index sample by using a VAE algorithm of a variational encoder to obtain a plurality of periods and storing each period in association with the corresponding reference performance index.
As an alternative embodiment, the processor 510 is further configured to perform the following steps:
starting a first performance acquisition thread as a target acquisition thread, and acquiring basic performance indexes of a system under a monitored module, wherein the basic performance indexes of the system at least comprise the CPU utilization rate, the hard disk occupancy rate and the flow of the system;
and/or starting a second performance acquisition thread as a target acquisition thread aiming at the started process of the monitored module, and acquiring the process performance index of the process;
and obtaining the real-time performance index of the monitored module according to the basic performance index and the process performance index.
As an alternative embodiment, the processor 510 is further configured to perform the following steps:
formatting the real-time performance index according to a preset storage format to obtain a performance index to be stored and storing the performance index to be stored, wherein the preset storage format is as follows: performance index name + network protocol IP address + performance index value + device name + tag.
As an alternative embodiment, the processor 510 is further configured to perform the following steps:
and displaying the real-time performance index and the corresponding module on the user use page in a related manner.
The embodiment of the present invention also discloses a computer-readable storage medium, which stores a computer program, wherein the computer program enables a computer to execute a system performance monitoring method disclosed in fig. 1 to 2.
An embodiment of the present invention further discloses a computer program product, which, when running on a computer, causes the computer to execute part or all of the steps of any one of the methods disclosed in fig. 1 to 2.
An embodiment of the present invention further discloses an application publishing platform, where the application publishing platform is configured to publish a computer program product, where when the computer program product runs on a computer, the computer is enabled to execute part or all of the steps of any one of the methods disclosed in fig. 1 to fig. 2.
It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other Memory, such as a magnetic disk, or a combination thereof, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
The above detailed description is provided for the system performance monitoring method and platform disclosed in the embodiments of the present invention, and the specific examples are applied herein to explain the principle and the implementation of the present invention, and the description of the above embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method for monitoring system performance, comprising:
starting a target performance acquisition thread to acquire real-time performance indexes of a monitored module, wherein the real-time performance indexes comprise basic performance indexes and/or process performance indexes of a system;
comparing the difference value of the real-time performance index and the reference performance index in the same period;
and when the difference value exceeds a preset threshold value, carrying out abnormity early warning.
2. The method of claim 1, further comprising:
acquiring performance index samples of the monitored module within the appointed monitoring time acquired by the target performance acquisition thread, wherein the performance index samples comprise basic performance index samples and/or process performance index samples of the system;
training the performance index samples by using a VAE algorithm of a variational encoder to obtain a plurality of periods and storing each period in association with a corresponding reference performance index.
3. The method according to claim 1 or 2, wherein the starting of the target performance acquisition thread acquires real-time performance indicators of the monitored module, and comprises:
starting a first performance acquisition thread as the target acquisition thread, and acquiring basic performance indexes of the system under the monitored module, wherein the basic performance indexes of the system at least comprise the CPU utilization rate, the hard disk occupancy rate and the flow of the system;
and/or starting the second performance acquisition thread as the target acquisition thread aiming at the started process of the monitored module, and acquiring the process performance index of the process;
and acquiring the real-time performance index of the monitored module according to the basic performance index and/or the process performance index.
4. The method of claim 1, wherein after the initiating the target performance acquisition thread acquires real-time performance metrics of the monitored module, the method further comprises:
formatting the real-time performance index according to a preset storage format to obtain a performance index to be stored and storing the performance index to be stored, wherein the preset storage format is as follows: performance index name + network protocol IP address + performance index value + device name + tag.
5. The method of claim 4, wherein after the initiating the target performance acquisition thread acquires real-time performance metrics of the monitored module, the method further comprises:
and displaying the real-time performance index and the corresponding module on a user use page in a related manner.
6. A system performance monitoring platform, comprising:
the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for starting a target performance acquisition thread to acquire real-time performance indexes of a monitored module, and the real-time performance indexes comprise basic performance indexes and/or process performance indexes of the system;
the comparison module is used for comparing the difference value of the real-time performance index and the reference performance index in the same period;
and the early warning module is used for carrying out abnormal early warning when the difference value exceeds a preset threshold value.
7. The platform of claim 6, further comprising:
the acquisition module is used for acquiring performance index samples of the monitored module within the appointed monitoring time acquired by the target performance acquisition thread, wherein the performance index samples comprise basic performance index samples and/or process performance index samples of the system;
and the training module is used for training the performance index samples by utilizing a VAE algorithm of a variational encoder to obtain a plurality of periods and storing each period in association with the corresponding reference performance index.
8. The platform of claim 6 or 7, wherein:
the acquisition module is specifically configured to start a first performance acquisition thread as the target acquisition thread, and acquire basic performance indexes of the system under the monitored module, where the basic performance indexes of the system at least include a CPU utilization rate, a hard disk occupancy rate, and a flow rate of the system; and/or starting the second performance acquisition thread as the target acquisition thread aiming at the started process of the monitored module, and acquiring the process performance index of the process; and acquiring the real-time performance index of the monitored module according to the basic performance index and/or the process performance index.
9. The platform of claim 1, further comprising:
the storage module is used for formatting the real-time performance index according to a preset storage format after the acquisition module starts a target performance acquisition thread to acquire the real-time performance index of the monitored module, so as to obtain a performance index to be stored, and storing the performance index to be stored, wherein the preset storage format is as follows: performance index name + network protocol IP address + performance index value + device name + tag.
10. The platform of claim 9, further comprising:
and the display module is used for displaying the real-time performance index and the corresponding module in a related manner on a user use page after the acquisition module starts a target performance acquisition thread to acquire the real-time performance index of the monitored module.
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