CN115065616A - Server monitoring method, server monitoring device and storage medium - Google Patents
Server monitoring method, server monitoring device and storage medium Download PDFInfo
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- H—ELECTRICITY
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- 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
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
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- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3037—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a memory, e.g. virtual memory, cache
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- H—ELECTRICITY
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- 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
- H04L43/045—Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
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Abstract
The application discloses a server monitoring method, a server monitoring device and a computer storage medium, wherein the server monitoring method comprises the following steps: acquiring a monitoring index of a server to be monitored; monitoring the server to be monitored based on the monitoring index; and displaying the monitoring result of the server to be monitored on a display interface. Through the mode, various indexes of the server can be monitored, the server can be monitored in a self-defined mode to obtain a more accurate running state of the server, the server abnormity can be found in time, and the abnormity processing efficiency of the server is improved.
Description
Technical Field
The present application relates to the field of server management, and in particular, to a server monitoring method, a server monitoring apparatus, and a storage medium.
Background
With the upgrade iteration of software products becoming faster and faster, the presentation of user data increases exponentially, and the requirement on the server becomes higher and higher, so that the server is required to be capable of continuously providing services and to be stable and reliable. And the system stability can be seriously affected by the abnormality of the server, such as downtime, memory overflow and the like. The server therefore needs to be continuously monitored to ensure that it is functioning properly.
In an application scenario, the monitoring for the server exception may be only monitoring the system hardware index of the server, jvm-tomcat operating state, and the monitoring range is not wide enough. The user can only see all monitoring indexes, and cannot monitor the state of the server more accurately under the condition of too much data. The abnormality of the server is only monitored and alarmed, and a specific abnormality reason cannot be displayed, so that a worker needs to detect the server again to determine the abnormality reason, and an abnormality processing scheme can be determined after the abnormality reason is determined, which wastes a large amount of time, and causes the server to be incapable of normally operating for a long time to cause production loss.
Disclosure of Invention
The application mainly solves the technical problem of how to process server abnormity and improve abnormity processing efficiency, and provides a server monitoring method, a server monitoring device and a storage medium.
In order to solve the technical problem, the application adopts a technical scheme that: provided is a server monitoring method, including: acquiring a monitoring index of a server to be monitored; monitoring the server to be monitored based on the monitoring index; and displaying the monitoring result of the server to be monitored on a display interface.
Wherein, the method also comprises: and responding to the search instruction of the user, and determining at least one server which meets the search condition of the search instruction in the server list as the server to be monitored.
Wherein, show the control result of treating the control server at the display interface, include: judging whether the server to be monitored is abnormal or not based on the monitoring result; if so, displaying the abnormal condition and the abnormal reason of the server to be monitored on a display interface; and if not, displaying the running state of the server to be monitored on the display interface.
Wherein, the abnormal reasons include: at least one of disk burst, memory overflow, application server stop and server in deployment state.
Wherein, show the control result of treating the control server in the display interface, include: and displaying the running conditions of different applications on the server to be monitored on a display interface.
Wherein, the monitoring index includes: self-defining the monitoring index and the default monitoring index.
Wherein, obtain the control index of treating the control server, include: and responding to the user-defined index of the user, and selecting one or more indexes of the user-defined monitoring index and the default monitoring index as the monitoring index of the server to be monitored.
Wherein, self-defined monitoring index includes: at least one or more of a virtual machine memory monitoring index, a physical machine memory monitoring index, an application server monitoring index and a deployment state monitoring index.
Wherein, the default monitoring index comprises: server system metrics.
After the monitoring result of the server to be monitored is displayed on the display interface, the method further comprises the following steps: and outputting abnormal information or prediction information of the server to be monitored to a worker based on the monitoring result of the server to be monitored.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided a server monitoring apparatus comprising a processor and a memory, the memory being coupled to the processor, the memory storing program data, the processor being configured to execute the program data to implement the server monitoring method as described above.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided a computer-readable storage medium storing program data for implementing the above-described server monitoring method when the program data is executed.
The beneficial effect of this application is: different from the situation of the prior art, the server monitoring method provided by the invention is applied to a server monitoring device, and the server monitoring device acquires the monitoring index of the server to be monitored; monitoring the server to be monitored based on the monitoring index; and displaying the monitoring result of the server to be monitored on a display interface. Through the method, compared with a conventional server monitoring mode, the method for monitoring whether the server is in the deployment state or not can be used for selecting the index of the server to be monitored in a self-defined mode, monitoring the system index of the server and the running state of the application server, and monitoring the memory state of the virtual machine and the physical machine in the server and the whether the server is in the deployment state or not, accurately displaying the abnormal reason of the server, and solving the problem that the abnormal reason cannot be accurately analyzed when the server is abnormal. The monitoring method can also enable the staff to quickly process the server abnormity according to the obtained abnormity reason so as to recover the normal operation of the server, ensure that the server continuously and stably provides service, and effectively avoid production accidents so as to reduce capital loss.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. Wherein:
fig. 1 is a schematic flowchart of a first embodiment of a server monitoring method provided in the present application;
FIG. 2 is a schematic flow chart of a custom monitoring server provided by the present application;
FIG. 3 is a schematic flow chart of a non-customized monitoring server provided by the present application;
FIG. 4 is a flowchart illustrating an embodiment of a method step 13 for server monitoring provided by the present application;
FIG. 5 is a flowchart illustrating a second embodiment of a method for server monitoring provided herein;
FIG. 6 is a flowchart illustrating a third embodiment of a method for server monitoring provided by the present application;
fig. 7 is a schematic structural diagram of a first embodiment of a server monitoring apparatus provided in the present application;
FIG. 8 is a schematic structural diagram of an embodiment of a computer-readable storage medium provided in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
Referring to fig. 1 to 3, fig. 1 is a schematic flowchart of a first embodiment of a server monitoring method provided by the present application, fig. 2 is a schematic flowchart of a custom monitoring server provided by the present application, and fig. 3 is a schematic flowchart of a non-custom monitoring server provided by the present application.
As shown in fig. 1, a server monitoring method according to an embodiment of the present application includes:
step 11: and acquiring a monitoring index of the server to be monitored.
Alternatively, the server to be monitored may be at least one server that determines, according to the search instruction of the user, a search condition that meets the search instruction in the server list, as the server to be monitored or a server that is directly specified by the user and is desired to be monitored.
Specifically, the monitoring index includes a custom monitoring index and a default monitoring index. The default monitoring metrics include server system metrics. The customized monitoring index includes the use condition of the virtual machine memory and the physical machine memory, the running state of the application server, whether the server is in the deployment state, and the like, and the customized monitoring index may also be various numbers and various combinations of the above indexes, which are not listed here.
Specifically, the server system index includes a hardware index of the server system, including an index such as a memory occupation condition of the server, a utilization rate of a cpu (central processing unit), and a queue length of a processor of the server.
In particular, a physical machine is a reference to a physical computer for a virtual machine. A virtual machine refers to a complete computer system with complete hardware system functionality, operating in a completely isolated environment, simulated by software in a physical computer. In this embodiment, the physical machine refers to a server to be monitored, and the virtual machine refers to a virtual machine built in the server to be monitored.
Specifically, in the present embodiment, the application server is tomcat software in the virtual machine, and tomcat is generally used for developing and debugging jsp programs in the server.
Specifically, the deployment of the server includes configuring an environment of the server, configuring a firewall and a port, building and configuring a database, and the like. When the server is in the deployment state, the server is not normally operated for the user.
Referring to fig. 2, fig. 2 is a schematic flow chart of a custom monitoring server provided in the present application, in which a user adds a custom view, and selects a server to be monitored by filtering characteristics of types, environments, data, and the like of the server to be monitored through a filter. The user can select one or more indexes of the user-defined monitoring indexes and the default monitoring indexes as the monitoring indexes of the server to be monitored through a checking mode. And judging whether the server to be monitored is in an abnormal state or not according to the obtained result of the monitoring index, and if the server is in the abnormal state, displaying the specific reasons of the server abnormality on a display interface, wherein the specific reasons include one or more state combinations of states such as full disk, memory overflow, tomcat stop, the server in a deployment state and the like. And if the server is not in the running state, displaying the current running state of the server on a display interface.
Specifically, the user-defined index refers to that the user selects a server index which the user wants to monitor in a self-defined manner, namely at least one or more of a virtual machine memory monitoring index, a physical machine memory monitoring index, an application server monitoring index and a deployment state monitoring index of the server. The user can select all the servers in the server list through the selected indexes to select the server which the user wants to monitor, and can more accurately monitor whether the server is abnormal or not through the selected conditions, and some unnecessary monitoring parameters can be ignored, so that the efficiency of monitoring the server abnormality is improved.
Referring to fig. 3, fig. 3 is a schematic flow chart of the non-customized monitoring server provided in the present application. The user selects a server to be monitored from the list of all the servers, the current states of various applications in the server are obtained according to preset server monitoring indexes, whether the server is in an abnormal state or not is judged according to the obtained result, and if the server is in the abnormal state, specific reasons of the server abnormality are displayed on a display interface, such as one or more state combinations of states of full disk explosion, memory overflow, tomcat stop, deployment state and the like. And if the server is not in the running state, displaying the current running state of the server on a display interface.
Step 12: and monitoring the server to be monitored based on the monitoring index.
Specifically, the data corresponding to the server to be monitored is acquired through the index selected by the user or the set default index, so as to judge the specific situation of the server to be monitored. The method has the advantages that more indexes can be selected by the user, and whether the server is abnormal or not can be judged from the aspect of different indexes, so that the server is monitored more comprehensively.
Step 13: and displaying the monitoring result of the server to be monitored on a display interface.
Specifically, the monitoring result includes the operation conditions of different applications on the server to be monitored. The user can clearly see the actual situation of the selected monitored server on the display interface so as to judge whether the server is in an abnormal state or not. If the server is in an abnormal state, the user can quickly judge the reason causing the server abnormality according to the displayed actual situation so as to achieve the effect of quickly processing the abnormality and enable the server to normally operate. The user can monitor different performances of the server in a targeted manner, so that the monitoring effect of the server is improved. The user can reduce unnecessary monitoring parameters by selecting the index to be monitored in a self-defined way so as to reduce monitoring resources and improve the efficiency of the monitoring server.
Optionally, in an embodiment, as shown in fig. 4, fig. 4 is a schematic flow chart of an embodiment of step 13, where step 13 may specifically include:
step 131: and judging whether the server to be monitored is abnormal or not based on the monitoring result.
Specifically, for example, a threshold value or a fluctuation coefficient thereof is set in advance corresponding to a certain monitoring index, and when a value obtained based on a monitoring result exceeds the threshold value or the fluctuation coefficient, it is determined that the server is abnormal, and if not, the server is normally operated.
For example, when the monitoring index is the memory of the virtual machine, the current memory occupation ratio and the set memory threshold value are obtained, and when the memory occupation ratio exceeds the set memory threshold value, the memory overflow of the virtual machine is determined, so that the abnormality of the server can be judged.
For example, when the monitoring index is in the deployment state, the current state of the server is obtained, and if the current server is being deployed, the server is determined to be in the deployment state, so that it can be determined that the server is abnormal.
Step 132: and if so, displaying the abnormal condition and the abnormal reason of the server to be monitored on the display interface.
Specifically, if the monitoring result is in an abnormal condition, it indicates that the server to be monitored is in an abnormal server state.
Specifically, the abnormal situations include: the server system index is in at least one of an abnormal state, the application server runs abnormally, the memory of the virtual machine and the physical machine overflows, and the server is in a deployment state.
Specifically, the abnormality causes include: at least one of disk burst, memory overflow, application server stop and server in deployment state.
For example, when the server system index is judged to be in an abnormal state according to the monitoring index, the cause of the abnormality can be obtained as a disk explosion or a server memory overflow. At the moment, the disk occupation condition or the memory occupation condition of the system can be displayed in a display interface in a view chart mode for a worker to check, and the worker is prompted to specifically cause the abnormal reason of the server. The method and the system can enable a worker to accurately know that the reason causing the server abnormity is the full disk of the system or the overflow of the memory of the server within the first time when the server is abnormal, and can timely process the server abnormity so as to enable the server to stably operate.
Step 133: and if not, displaying the running state of the server to be monitored on the display interface.
Specifically, the running state of the server includes: the system index of the server, the running state of the application server and the memory occupation condition of the virtual machine and the physical machine.
Specifically, the current system index of the server, the running state of the application server, the memory occupation condition of the virtual machine and the current state of the server are displayed to a worker in the form of a view chart, a table or a trend chart according to specific data of the monitoring index, so that the worker can monitor the running state of the server in time and prevent the occurrence of server abnormality in advance.
Referring to fig. 5, fig. 5 is a schematic flowchart of a second embodiment of a server monitoring method provided in the present application, where the method includes:
step 51: and responding to the search instruction of the user, and determining at least one server which meets the search condition of the search instruction in the server list as the server to be monitored.
Specifically, the search instruction of the user is to filter the type, environment or data of the server to be monitored so as to determine at least one server in the server list as the server to be monitored. The user can select the server to be monitored through own will, so that the monitoring of the server is more flexible.
Step 52: and monitoring the server to be monitored.
Specifically, the user can add a custom view, and filter the type, environment, data and other characteristics of the server to be monitored through the filter to select the server to be monitored. The method and the system enable the user to conveniently and quickly screen out the server to be monitored, simplify the step of searching for a certain server from the list, save the time for selecting the server, and improve the monitoring efficiency.
Referring to fig. 6, fig. 6 is a schematic flowchart of a third embodiment of a server monitoring method provided in the present application, where the method includes:
step 61: and displaying the monitoring result of the server to be monitored on a display interface.
Step 62: and outputting abnormal information or prediction information of the server to be monitored to a worker based on the monitoring result of the server to be monitored.
Specifically, the monitoring result can be directly transmitted to the relevant staff in the form of an output visual file, or the monitoring result is visualized and converted into a view or table form to be displayed on a display interface for the staff to view.
Specifically, the prediction information output to the staff may be a transformation situation of the index monitored by the server, and a future transformation prediction schematic diagram of the index is drawn for the staff to check, so as to help the staff to predict the possibility that whether the server is abnormal or not in a future period of time, so that the staff can intervene in the server monitoring process in advance and perform preventive treatment on the reason which may cause the server to be abnormal.
In the embodiment of the application, the monitoring result of the server can be used for sending out the warning to the working personnel and outputting the abnormal information of the server, so that the working personnel can timely and quickly process the abnormal condition of the server, and the server can be stably operated.
Different from the prior art, the server monitoring method provided by the embodiment is applied to a server monitoring device, and the server monitoring device acquires the monitoring index of the server to be monitored; monitoring the server to be monitored based on the monitoring index; and displaying the monitoring result of the server to be monitored on a display interface. Through the mode, compared with the conventional server monitoring, the method for monitoring whether the server is in the deployment state or not can be used for selecting the index of the server to be monitored in a self-defined mode, monitoring the system index of the server and the running state of the application server, and monitoring the memory state of the virtual machine and the physical machine in the server and the whether the server is in the deployment state or not, accurately displaying the abnormal reason of the server, and solving the problem that the abnormal reason cannot be accurately analyzed when the server is abnormal. The monitoring method can also enable the staff to quickly process the server abnormity according to the obtained abnormity reason so as to recover the normal operation of the server, ensure that the server continuously and stably provides service, and effectively avoid production accidents so as to reduce capital loss.
The method of the foregoing embodiment may be implemented by using a monitoring apparatus, and referring to fig. 7, fig. 7 is a schematic structural diagram of a first embodiment of a server monitoring apparatus provided in the present application, where the server monitoring apparatus 70 includes a memory 71 and a processor 72, the memory 71 is used for storing program data, and the processor 72 is used for executing the program data to implement the following method:
acquiring a monitoring index of a server to be monitored; monitoring the server to be monitored based on the monitoring index; and displaying the monitoring result of the server to be monitored on a display interface.
Referring to fig. 8, fig. 8 is a schematic structural diagram of an embodiment of a computer-readable storage medium 80 provided in the present application, where the computer-readable storage medium 80 stores program data 81, and when the program data 81 is executed by a processor, the program data is used to implement the following methods:
acquiring a monitoring index of a server to be monitored; monitoring the server to be monitored based on the monitoring index; and displaying the monitoring result of the server to be monitored on a display interface.
Embodiments of the present application may be implemented in software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A server monitoring method is characterized by comprising the following steps:
acquiring a monitoring index of a server to be monitored;
monitoring the server to be monitored based on the monitoring index;
and displaying the monitoring result of the server to be monitored on a display interface.
2. The server monitoring method according to claim 1,
the server monitoring method further comprises the following steps:
and responding to a search instruction of a user, and determining at least one server meeting the search condition of the search instruction in a server list as the server to be monitored.
3. The server monitoring method according to claim 1,
the displaying the monitoring result of the server to be monitored on the display interface comprises the following steps:
judging whether the server to be monitored is abnormal or not based on the monitoring result;
if yes, displaying the abnormal condition and the abnormal reason of the server to be monitored on the display interface;
and if not, displaying the running state of the server to be monitored on the display interface.
4. The server monitoring method according to claim 3,
the abnormal reasons include: at least one of disk burst, memory overflow, application server stop and server in deployment state.
5. The server monitoring method according to claim 1,
the displaying the monitoring result of the server to be monitored on the display interface comprises the following steps:
and displaying the running conditions of different applications on the server to be monitored on the display interface.
6. The server monitoring method according to claim 1,
the monitoring indexes comprise self-defined monitoring indexes and default monitoring indexes;
the acquiring of the monitoring index of the server to be monitored comprises the following steps:
responding to a user-defined index of a user, and selecting one or more indexes of the user-defined monitoring index and the default monitoring index as the monitoring index of the server to be monitored.
7. The server monitoring method according to claim 6,
the user-defined monitoring indexes comprise: at least one or more of a virtual machine memory monitoring index, a physical machine memory monitoring index, an application server monitoring index and a deployment state monitoring index;
the default monitoring metrics include server system metrics.
8. The server monitoring method according to claim 1,
after the monitoring result of the server to be monitored is displayed on the display interface, the server monitoring method further comprises the following steps:
and outputting the abnormal information or the prediction information of the server to be monitored to a worker based on the monitoring result of the server to be monitored.
9. A server monitoring device, comprising a memory and a processor coupled to the memory;
wherein the memory is for storing program data and the processor is for executing the program data to implement the server monitoring method of any one of claims 1 to 8.
10. A computer storage medium for storing program data which, when executed by a computer, is used to implement the server monitoring method according to any one of claims 1 to 8.
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| CN202210749177.6A CN115065616A (en) | 2022-06-28 | 2022-06-28 | Server monitoring method, server monitoring device and storage medium |
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