CN115118571A - Service monitoring method, platform, computer equipment and storage medium - Google Patents
Service monitoring method, platform, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of system data monitoring, and provides a service monitoring method, a platform, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring service monitoring configuration information corresponding to a current service, wherein the service monitoring configuration information is input by a user based on a configuration module of a service monitoring platform, the service monitoring configuration information comprises early warning configuration information, and the current service is any one of various types of services; receiving service data corresponding to the current service reported by the service components, and butting various service components by the service monitoring platform; performing early warning matching analysis on the service data according to the early warning configuration information, and determining whether the current service triggers early warning or not; and if the current service triggers early warning, determining an early warning mode corresponding to the service data, and sending early warning reminding information of the current service according to the early warning mode to realize the reduction of the cost of service monitoring. The application also relates to a block chain technology, and the service monitoring configuration information can be stored in the block chain node.
Description
Technical Field
The present application relates to the field of system data monitoring technologies, and in particular, to a service monitoring method, a service monitoring platform, a computer device, and a storage medium.
Background
At present, in a service scene corresponding to various services, various data of the services need to be monitored, so as to process related services in time, or else, a customer complaint may occur. Generally, either the service personnel performs manual inspection and monitoring every day, which consumes a lot of manpower and is high in cost; or a corresponding monitoring system is set up for each service scene, service monitoring is performed through the corresponding monitoring systems, each monitoring system lacks expansibility and robustness, and if monitoring configuration needs to be changed for a certain service, a new monitoring system needs to be re-developed, and the development of the monitoring systems consumes a lot of manpower and is high in cost.
Therefore, how to reduce the cost of service monitoring becomes an urgent problem to be solved.
Disclosure of Invention
The application provides a service monitoring method, a service monitoring platform, computer equipment and a storage medium, and aims to reduce the cost of service monitoring.
In order to achieve the above object, the present application provides a service monitoring method applied to a service monitoring platform, where the service monitoring method includes:
acquiring service monitoring configuration information corresponding to a current service, wherein the service monitoring configuration information is input by a user based on a configuration module of the service monitoring platform, the service monitoring configuration information comprises early warning configuration information, and the current service is any one of various types of services;
receiving service data corresponding to the current service reported by a service component, wherein the service monitoring platform is in butt joint with various service components;
performing early warning matching analysis on the service data according to the early warning configuration information, and determining whether the current service triggers early warning or not;
and if the current service triggers early warning, determining an early warning mode corresponding to the service data, and sending early warning reminding information of the current service according to the early warning mode.
In addition, in order to achieve the above object, the present application further provides a service monitoring platform, where the service monitoring platform includes:
the system comprises a configuration module, a service monitoring module and a service monitoring module, wherein the configuration module is used for acquiring service monitoring configuration information corresponding to a current service, the service monitoring configuration information comprises early warning configuration information, and the current service is any one of various types of services;
the receiving module is used for receiving the service data corresponding to the current service reported by the service components, wherein the service monitoring platform is in butt joint with various service components;
the processing decision module is used for performing early warning matching analysis on the service data according to the early warning configuration information and determining whether the current service triggers early warning or not;
and the sending module is used for determining an early warning mode corresponding to the service data if the current service triggers early warning, and sending early warning reminding information of the current service according to the early warning mode.
In addition, to achieve the above object, the present application also provides a computer device, which includes a memory and a processor;
the memory for storing a computer program;
the processor is configured to execute the computer program and implement the service monitoring method as described above when executing the computer program.
In addition, to achieve the above object, the present application also provides a computer readable storage medium, which stores a computer program, and the computer program realizes the steps of the above service monitoring method when executed by a processor.
The application discloses a service monitoring method, a platform, computer equipment and a storage medium, wherein service monitoring configuration information corresponding to a current service is acquired, wherein the service monitoring configuration information is input by a user based on a configuration module of the service monitoring platform, the service monitoring configuration information comprises early warning configuration information, and the current service is any one of various types of services; and receiving service data corresponding to the current service reported by the service components, wherein the service monitoring platform is in butt joint with various service components to realize the expansibility and the robustness of the service monitoring platform, then performing early warning matching analysis on the service data according to early warning configuration information to determine whether the current service triggers early warning or not, if the current service triggers the early warning, determining an early warning mode corresponding to the service data, and sending early warning reminding information of the current service according to the early warning mode, thereby realizing the timely monitoring and early warning of the service. In the whole monitoring process, service personnel do not need to carry out manual inspection every day, a large number of monitoring systems do not need to be set up, and the cost of service monitoring is greatly reduced.
Drawings
In order to more clearly illustrate the technical solutions of 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 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.
Fig. 1 is a schematic flow chart illustrating steps of a service monitoring method according to an embodiment of the present application;
fig. 2 is a schematic system structure diagram of a service monitoring platform according to an embodiment of the present application;
fig. 3 is a schematic configuration interface diagram of a service monitoring platform according to an embodiment of the present disclosure;
fig. 4 is a schematic block diagram of a service monitoring platform provided in an embodiment of the present application;
fig. 5 is a schematic block diagram of a structure of a computer device according to an embodiment of 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 some, but not all, embodiments of the present application. 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.
The flow diagrams depicted in the figures are merely illustrative and do not necessarily include all of the elements and operations/steps, nor do they necessarily have to be performed in the order depicted. For example, some operations/steps may be decomposed, combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
It is to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Embodiments of the present application provide a service monitoring method, a service monitoring platform, a computer device, and a storage medium, which are used to reduce the cost of service monitoring.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a service monitoring method according to an embodiment of the present application. The method can be applied to a service monitoring platform, and the application scene of the method is not limited in the application. In the following, the service monitoring method is described in detail by taking an example of applying the service monitoring method to a service monitoring platform.
As shown in fig. 1, the service monitoring method specifically includes steps S101 to S104.
S101, acquiring service monitoring configuration information corresponding to a current service, wherein the service monitoring configuration information is input by a user based on a configuration module of the service monitoring platform, the service monitoring configuration information comprises early warning configuration information, and the current service is any one of various types of services.
Exemplarily, as shown in fig. 2, fig. 2 is a schematic structural diagram of a service monitoring platform, where the service monitoring platform includes a configuration module config, a scanning module scanner, a receiving module receiver, a collector sdk, a processing decision module processor, a transmitting module transmitter, and the like. The configuration module config provides flexible configuration for users such as service personnel and developers. The developer can configure configuration information such as an accessed service scene, an accessed mode and the like through the configuration module config, wherein the service scene comprises various service types, such as a prize issuing service scene and the like. The service personnel can configure service monitoring configuration information through the configuration module config, wherein the service monitoring configuration information includes early warning configuration information, receiving personnel information and the like, and the early warning configuration information includes but is not limited to early warning triggering conditions, early warning frequency, early warning mode, early warning level, corresponding relation between the early warning level and the early warning mode and the like. The recipient information includes, but is not limited to, a recipient mailbox, a recipient telephone, a recipient WeChat, etc.
For example, as shown in fig. 3, fig. 3 is a configuration interface for service personnel corresponding to a service monitoring platform, where the configuration interface includes configuration items such as an early warning trigger condition configuration item, an early warning frequency configuration item, an early warning mode configuration item, and an early warning level configuration item. Illustratively, different early warning triggering conditions correspond to different early warning frequencies, early warning levels, early warning modes and the like. The service personnel can input corresponding early warning configuration information based on each configuration item.
For example, in the following prize-giving service scenario, service personnel inputs warning trigger condition information such as "triggering warning for prize surplus stock 50000" through a warning trigger condition configuration item of a configuration interface, inputs warning level information such as "green warning" through a corresponding warning level configuration item, and inputs warning mode information such as "mail notification" through a corresponding warning mode configuration item; the early warning trigger condition configuration item inputs early warning trigger condition information such as 'prize surplus stock 20000 triggers early warning', the corresponding early warning level configuration item inputs early warning level information such as 'yellow early warning', and the corresponding early warning mode configuration item inputs early warning mode information such as 'mail notification + short message notification'; the early warning trigger condition configuration item inputs early warning trigger condition information such as 'prize surplus stock 5000 trigger early warning', the corresponding early warning level configuration item inputs early warning level information such as 'red early warning', and the corresponding early warning mode configuration item inputs early warning mode information such as 'mail notification + short message notification + micro communication notification'.
The scanning module scanner scans the corresponding Database, table and field regularly mainly through JDBC (Java Database Connectivity). The scanning frequency of libraries, tables, fields and the like which need to be scanned in various service scenes can be configured through the configuration module config.
S102, receiving service data corresponding to the current service reported by service components, wherein the service monitoring platform is in butt joint with various service components.
Illustratively, the service component reports service data through an SDK (Software Development Kit), for example, the service data includes prize delivery data in the following prize delivery service scenario.
In some embodiments, the service monitoring platform includes an API (application programming interface) for interfacing various service components, and the receiving service data corresponding to the current service reported by a service component includes: and receiving the service data reported by the service component through an API (application programming interface) interface butted with the service component of the current service.
Illustratively, the receiving module receiver provides various API interfaces to interface with various service components. And a receiving module receiver receives and acquires the service data reported by the service component through an API (application programming interface) interface butted with the service component.
Illustratively, the receiving module receiver provides MQ (Message Queue), Rest API interface, log monitoring, and the like to receive service data reported from different service components.
The service monitoring platform is pulled away from each service component, service and monitoring are decoupled, and therefore the expansibility and the robustness of the service monitoring platform are guaranteed.
In some embodiments, the service monitoring platform includes a processing decision module, and after receiving the service data reported by the service component, the processing decision module includes: performing data format processing on the service data, and sending the processed service data to the processing decision module; and performing early warning matching analysis on the processed service data through the processing decision module.
Illustratively, the receiving module receiver collects the service data reported by the service component, performs format processing on the service data, and sends the service data to the processing decision module processor, and the processing decision module processor performs analysis processing on the service data.
Illustratively, the service monitoring platform further includes a collector collecter SDK, the SDK mainly provides service component access as a third party package, and the SDK can collect data such as server logs and database information on the service component server and report the data to the processing decision module processor for analysis processing.
S103, performing early warning matching analysis on the service data according to the early warning configuration information, and determining whether the current service triggers early warning or not; if yes, go to step S104; if not, returning to execute the step S102;
and S104, determining an early warning mode corresponding to the service data, and sending early warning reminding information of the current service according to the early warning mode.
Illustratively, according to the early warning triggering condition in the early warning configuration information, early warning matching analysis is performed on the service data, and whether the current service triggers early warning or not is judged. And if the service data reaches the early warning triggering condition, determining that the current service triggers early warning. Otherwise, if the service data does not reach the early warning triggering condition, determining that the current service does not trigger early warning.
In some embodiments, the performing the early warning matching analysis on the service data to determine whether the current service triggers early warning includes: analyzing whether the service available resource of the current service is lower than a preset resource threshold value or not according to the service data; and if the service available resource is lower than the preset resource threshold, determining that the current service triggers early warning.
Illustratively, the early warning trigger condition includes, but is not limited to, that the service available resource of the current service is lower than a preset resource threshold. The preset resource threshold may be configured by a service person through a configuration module config. Taking a scenario of delivering the prize service as an example, the service data includes prize delivery data, the service available resources include, but are not limited to, a remaining inventory number of prizes, and the preset resource threshold includes, but is not limited to, a threshold of the inventory number of prizes. For example, the total inventory quantity of the prizes is configured to be 100000, the threshold value of the inventory quantity of the prizes is 50000, and if the current prize issuing data of the obtained service exceeds 50000, the remaining inventory quantity of the prizes is lower than 50000, that is, the remaining inventory quantity of the prizes is lower than the threshold value of the inventory quantity of the prizes, and at this time, it is determined that the current service triggers the early warning.
If the current service is determined not to trigger the early warning, for example, the number of remaining prize stocks is higher than 50000, which indicates that the number of remaining prize stocks is sufficient, at this time, the early warning processing is not required. Illustratively, new service data corresponding to the current service reported by the service component is continuously received, and then the above operation is executed again according to the new service data to determine whether the current service triggers the early warning.
And if the current service is determined to trigger early warning, determining a corresponding early warning mode, and sending early warning reminding information of the current service according to the early warning mode. The early warning mode includes but is not limited to mail notification, short message notification, WeChat notification, and the like.
For example, if the early warning mode is determined to be mail notification, the mail sends early warning reminding information to the mailbox corresponding to the receiver according to the configured mailbox information of the receiver.
If the early warning mode is determined to be short message notification, the short message sends early warning reminding information to corresponding receiving personnel according to the configured telephone information of the receiving personnel.
If the early warning mode is determined to be WeChat communication, sending early warning reminding information to WeChat corresponding to the receiving personnel according to the configured WeChat information of the receiving personnel.
Illustratively, the service monitoring platform further includes a sending module transmitter, and the processing decision module processor analyzes and processes the received service data, generates an early warning result, and outputs the early warning result to the sending module transmitter. After receiving the early warning result of the processing decision module processor, the sending module transmitter sends early warning reminding information to a designated receiving person for message notification based on the corresponding early warning mode according to the information such as the early warning mode, the early warning frequency and the like configured by the configuration module config.
Illustratively, besides the early warning mode, the early warning frequency is also determined, and early warning reminding information is sent to corresponding receiving personnel according to the early warning mode and the early warning frequency.
In some embodiments, the determining that the current traffic triggers early warning includes: and determining the early warning of the corresponding early warning level triggered by the current service according to the service available resources.
For example, still taking the above listed scenario of delivering a prize as an example, the service personnel configures multiple warning levels through the configuration module config. The lower the remaining inventory amount of prizes, the higher the corresponding warning level. Illustratively, the higher the warning level, the higher the corresponding warning frequency.
In some embodiments, the preset resource threshold includes a first preset resource threshold, a second preset resource threshold, and a third preset resource threshold, and the plurality of warning levels include a green warning, a yellow warning, and a red warning; the determining the early warning of the corresponding early warning level triggered by the current service according to the service available resources includes: if the service available resource is lower than the first preset resource threshold and higher than the second preset resource threshold, determining that the current service triggers green early warning; if the service available resource is lower than the second preset resource threshold and higher than the third preset resource threshold, determining that the current service triggers yellow early warning; and if the service available resource is lower than the third preset resource threshold, determining that the current service triggers red early warning.
Illustratively, the service personnel configures, through the configuration module config, a plurality of warning levels including green warning, yellow warning, red warning, and the like, and the corresponding plurality of preset resource thresholds include a first preset resource threshold, a second preset resource threshold, a third preset resource threshold, and the like. The first preset resource threshold is greater than a second preset resource threshold, and the second preset resource threshold is greater than a third preset resource threshold. The red early warning level is higher than the yellow early warning level, and the yellow early warning level is higher than the green early warning level.
For example, still taking the above listed scenario of issuing a prize service as an example, different warning levels such as green warning, yellow warning, red warning and the like correspond to different threshold values of the number of prize stocks. For example, the green warning level corresponds to a first prize inventory quantity threshold, the yellow warning level corresponds to a second prize inventory quantity threshold, and the red warning level corresponds to a third prize inventory quantity threshold.
And the processing decision module processor analyzes and determines the remaining amount of the prizes according to the prize issuing data and the total amount of the prizes, and determines that the current service triggers green early warning if the remaining amount of the prizes is lower than a first threshold of the amount of the prizes and higher than a second threshold of the amount of the prizes. And if the remaining inventory quantity of the prizes is lower than the second prize inventory quantity threshold value and higher than the third prize inventory quantity threshold value, determining that the current service triggers yellow early warning. And if the remaining inventory quantity of the prizes is lower than the threshold value of the inventory quantity of the third prizes, determining that the current service triggers red early warning.
In some embodiments, the determining the early warning manner corresponding to the service data includes: and determining the early warning mode corresponding to the early warning grade according to the corresponding relation between the early warning grade and the early warning mode in the early warning configuration information.
Illustratively, in the corresponding relationship between the early warning level and the early warning mode, the early warning mode corresponding to the green early warning is mail notification, the early warning mode corresponding to the yellow early warning is mail notification + short message notification, and the early warning mode corresponding to the red early warning is mail notification + short message notification + WeChat notification.
For example, still taking the above listed scenario of delivering prizes as an example, if the number of delivered prizes exceeds 50000, the number of remaining stocks of prizes is lower than 50000, a green warning is triggered, and the corresponding warning manner is a mail notification, the sending module transmitter sends warning reminding information to the corresponding receiving personnel through a mail to perform message notification. If the number of issued prizes exceeds 80000 and the number of remaining stocks of prizes is lower than 20000, triggering yellow early warning, and the corresponding early warning mode is mail notification and short message notification, the sending module transmitter sends early warning reminding information to corresponding receiving personnel for message notification in a mail and short message mode. If the number of issued prizes exceeds 95000 and the number of remaining stocks of the prizes is less than 5000, red early warning is triggered, and the corresponding early warning mode is mail notification, short message notification and WeChat notification, the transmission module transmits early warning reminding information to corresponding receiving personnel for message notification in the modes of mail, short message and WeChat.
It should be noted that, besides the above-mentioned early warning manner, the early warning reminding information may also be sent to the corresponding receiving person for message notification through other manners such as qq, happy, peaceful and the like, and the present application is not limited specifically.
The service monitoring is carried out through the service monitoring platform, so that the service monitoring and early warning are more timely, the related configuration of the service is more flexible and convenient, the service personnel is not required to carry out manual inspection and monitoring every day, the labor consumption is greatly reduced, and the cost is reduced. And a corresponding monitoring system does not need to be set up for each service scene, so that service and monitoring are decoupled, and the expansibility and the robustness of a service monitoring platform are ensured.
In the above embodiment, service monitoring configuration information corresponding to a current service is obtained, where the service monitoring configuration information is input by a user based on a configuration module of a service monitoring platform, the service monitoring configuration information includes early warning configuration information, and the current service is any one of various types of services; and receiving service data corresponding to the current service reported by the service components, wherein the service monitoring platform is in butt joint with various service components to realize the expansibility and the robustness of the service monitoring platform, then performing early warning matching analysis on the service data according to early warning configuration information to determine whether the current service triggers early warning or not, if the current service triggers the early warning, determining an early warning mode corresponding to the service data, and sending early warning reminding information of the current service according to the early warning mode, thereby realizing the timely monitoring and early warning of the service. In the whole monitoring process, service personnel do not need to carry out manual inspection every day, and a large number of monitoring systems do not need to be built, so that the cost of service monitoring is greatly reduced.
Referring to fig. 4, fig. 4 is a schematic block diagram of a service monitoring platform according to an embodiment of the present application, where the service monitoring platform may be configured in a computer device for executing the service monitoring method.
As shown in fig. 4, the service monitoring platform 1000 includes: a configuration module 1001, a receiving module 1002, a processing decision module 1003, and a sending module 1004.
A configuration module 1001, configured to acquire service monitoring configuration information corresponding to a current service, where the service monitoring configuration information includes early warning configuration information, and the current service is any one of various types of services;
a receiving module 1002, configured to receive service data corresponding to the current service, which is reported by a service component, where the service monitoring platform is connected to various service components;
a processing decision module 1003, configured to perform early warning matching analysis on the service data according to the early warning configuration information, and determine whether the current service triggers early warning;
a sending module 1004, configured to determine an early warning mode corresponding to the service data if the current service triggers early warning, and send early warning reminding information of the current service according to the early warning mode.
In one embodiment, the service monitoring platform 1000 includes API interfaces for interfacing various service components, and the receiving module 1002 is further configured to:
and receiving the service data reported by the service component through an API (application programming interface) interface butted with the service component of the current service.
In one embodiment, the receiving module 1002 is further configured to:
performing data format processing on the service data, and sending the processed service data to the processing decision module 1003;
the processing decision module 1003 is further configured to:
and carrying out early warning matching analysis on the processed service data.
In one embodiment, the processing decision module 1003 is further configured to:
analyzing whether the service available resource of the current service is lower than a preset resource threshold value or not according to the service data;
and if the service available resource is lower than the preset resource threshold, determining that the current service triggers early warning.
In one embodiment, the processing decision module 1003 is further configured to:
and determining the early warning of the corresponding early warning level triggered by the current service according to the service available resources.
In one embodiment, the preset resource threshold includes a first preset resource threshold, a second preset resource threshold, and a third preset resource threshold, and the plurality of warning levels include green warning, yellow warning, and red warning; the processing decision module 1003 is further configured to:
if the service available resource is lower than the first preset resource threshold and higher than the second preset resource threshold, determining that the current service triggers green early warning;
if the service available resource is lower than the second preset resource threshold and higher than the third preset resource threshold, determining that the current service triggers yellow early warning;
and if the service available resource is lower than the third preset resource threshold, determining that the current service triggers red early warning.
In one embodiment, the processing decision module 1003 is further configured to:
and determining the early warning mode corresponding to the early warning grade according to the corresponding relation between the early warning grade and the early warning mode in the early warning configuration information.
Each module in the service monitoring platform 1000 corresponds to each step in the service monitoring method embodiment, and the functions and implementation processes thereof are not described in detail herein.
The methods, platforms, and systems of the present application are operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
Illustratively, the above-described methods, platforms may be implemented in the form of a computer program which may be run on a computer device as shown in fig. 5.
Referring to fig. 5, fig. 5 is a schematic block diagram of a computer device according to an embodiment of the present disclosure.
Referring to fig. 5, the computer device includes a processor and a memory connected by a system bus, wherein the memory may include a nonvolatile storage medium and an internal memory.
The processor is used for providing calculation and control capability and supporting the operation of the whole computer equipment.
The internal memory provides an environment for the execution of a computer program on a non-volatile storage medium, which when executed by a processor, causes the processor to perform any of the traffic monitoring methods.
It should be understood that the Processor may be a Central Processing Unit (CPU), and the Processor may be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein, in one embodiment, the processor is configured to execute a computer program stored in the memory to implement the steps of:
acquiring service monitoring configuration information corresponding to a current service, wherein the service monitoring configuration information is input by a user based on a configuration module of the service monitoring platform, the service monitoring configuration information comprises early warning configuration information, and the current service is any one of various types of services;
receiving service data corresponding to the current service reported by a service component, wherein the service monitoring platform is in butt joint with various service components;
performing early warning matching analysis on the service data according to the early warning configuration information, and determining whether the current service triggers early warning or not;
and if the current service triggers early warning, determining an early warning mode corresponding to the service data, and sending early warning reminding information of the current service according to the early warning mode.
In an embodiment, the service monitoring platform includes an API interface for interfacing various service components, and the processor is configured to implement, when implementing service data corresponding to the current service reported by the service component, that:
and receiving the service data reported by the service component through an API (application programming interface) interface butted with the service component of the current service.
In an embodiment, the service monitoring platform includes a processing decision module, and the processor is configured to implement, after the receiving of the service data reported by the service component, that:
performing data format processing on the service data, and sending the processed service data to the processing decision module;
and performing early warning matching analysis on the processed service data through the processing decision module.
In one embodiment, when implementing the early warning matching analysis on the service data and determining whether the current service triggers an early warning, the processor is configured to implement:
analyzing whether the service available resource of the current service is lower than a preset resource threshold value or not according to the service data;
and if the service available resource is lower than the preset resource threshold, determining that the current service triggers early warning.
In an embodiment, the early warning configuration information includes multiple early warning levels, and the processor is configured to, when the determining that the current service triggers early warning is implemented:
and determining the early warning of the corresponding early warning level triggered by the current service according to the service available resources.
In one embodiment, the preset resource threshold includes a first preset resource threshold, a second preset resource threshold, and a third preset resource threshold, and the plurality of warning levels include green warning, yellow warning, and red warning; when the processor implements the early warning of the corresponding early warning level triggered by the current service according to the service available resources, the processor is used for implementing:
if the service available resource is lower than the first preset resource threshold and higher than the second preset resource threshold, determining that the current service triggers green early warning;
if the service available resource is lower than the second preset resource threshold and higher than the third preset resource threshold, determining that the current service triggers yellow early warning;
and if the service available resource is lower than the third preset resource threshold, determining that the current service triggers red early warning.
In an embodiment, when the processor implements the determining of the early warning manner corresponding to the service data, the processor is configured to implement:
and determining the early warning mode corresponding to the early warning grade according to the corresponding relation between the early warning grade and the early warning mode in the early warning configuration information.
The embodiment of the application also provides a computer readable storage medium.
The computer readable storage medium of the present application has stored thereon a computer program which, when executed by a processor, implements the steps of the traffic monitoring method as described above.
The computer-readable storage medium may be an internal storage unit of the service monitoring platform or the computer device described in the foregoing embodiment, for example, a hard disk or a memory of the service monitoring platform or the computer device. The computer readable storage medium may also be an external storage device of the service monitoring platform or the computer device, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital Card (SD Card), a Flash memory Card (Flash Card), or the like provided on the service monitoring platform or the computer device.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.
The block chain referred by the application is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention.
Claims (10)
1. A service monitoring method is characterized in that the method is applied to a service monitoring platform, and the service monitoring method comprises the following steps:
acquiring service monitoring configuration information corresponding to a current service, wherein the service monitoring configuration information is input by a user based on a configuration module of the service monitoring platform, the service monitoring configuration information comprises early warning configuration information, and the current service is any one of various types of services;
receiving service data corresponding to the current service reported by a service component, wherein the service monitoring platform is in butt joint with various service components;
performing early warning matching analysis on the service data according to the early warning configuration information, and determining whether the current service triggers early warning or not;
and if the current service triggers early warning, determining an early warning mode corresponding to the service data, and sending early warning reminding information of the current service according to the early warning mode.
2. The service monitoring method of claim 1, wherein the service monitoring platform includes an API interface for interfacing various service components, and the receiving the service data corresponding to the current service reported by the service component includes:
and receiving the service data reported by the service component through an API (application programming interface) interface butted with the service component of the current service.
3. The service monitoring method of claim 2, wherein the service monitoring platform comprises a processing decision module, and after receiving the service data reported by the service component, the method comprises:
performing data format processing on the service data, and sending the processed service data to the processing decision module;
and performing early warning matching analysis on the processed service data through the processing decision module.
4. The traffic monitoring method according to any one of claims 1 to 3, wherein the performing early warning matching analysis on the traffic data to determine whether the current traffic triggers early warning comprises:
analyzing whether the service available resource of the current service is lower than a preset resource threshold value or not according to the service data;
and if the service available resource is lower than the preset resource threshold, determining that the current service triggers early warning.
5. The traffic monitoring method according to claim 4, wherein the early warning configuration information includes a plurality of early warning levels, and the determining that the current traffic triggers early warning includes:
and determining the early warning of the corresponding early warning level triggered by the current service according to the service available resources.
6. The traffic monitoring method according to claim 5, wherein the preset resource threshold includes a first preset resource threshold, a second preset resource threshold, and a third preset resource threshold, and the plurality of warning levels include green warning, yellow warning, and red warning; the determining the early warning of the corresponding early warning level triggered by the current service according to the service available resources includes:
if the service available resource is lower than the first preset resource threshold and higher than the second preset resource threshold, determining that the current service triggers green early warning;
if the service available resource is lower than the second preset resource threshold and higher than the third preset resource threshold, determining that the current service triggers yellow early warning;
and if the service available resource is lower than the third preset resource threshold, determining that the current service triggers red early warning.
7. The service monitoring method according to claim 5, wherein the determining the early warning manner corresponding to the service data comprises:
and determining the early warning mode corresponding to the early warning grade according to the corresponding relation between the early warning grade and the early warning mode in the early warning configuration information.
8. A service monitoring platform, comprising:
the system comprises a configuration module, a service monitoring module and a service monitoring module, wherein the configuration module is used for acquiring service monitoring configuration information corresponding to a current service, the service monitoring configuration information comprises early warning configuration information, and the current service is any one of various types of services;
the receiving module is used for receiving the service data corresponding to the current service reported by the service components, wherein the service monitoring platform is in butt joint with various service components;
the processing decision module is used for carrying out early warning matching analysis on the service data according to the early warning configuration information and determining whether the current service triggers early warning or not;
and the sending module is used for determining an early warning mode corresponding to the service data if the current service triggers early warning, and sending early warning reminding information of the current service according to the early warning mode.
9. A computer device, wherein the computer device comprises a memory and a processor;
the memory for storing a computer program;
the processor for executing the computer program and implementing the traffic monitoring method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the traffic monitoring method according to any one of claims 1 to 7.
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