CN115220984A - A business application monitoring method, device, electronic device, and storage medium - Google Patents

Abstract

The present application discloses a business application monitoring method, device, electronic device, and storage medium, which are executed by a monitoring server, wherein the method includes: obtaining a monitoring request of a business application based on a monitoring interface; , obtain the original monitoring data of the business application; perform aggregation processing on the original monitoring data of the business application, and store the aggregation processing result of the business application in the business application monitoring database. The business application monitoring method of the present application, through the preset unified monitoring interface, can collect and aggregate the data of the corresponding business applications according to the needs of users, and store the processing results in the business application monitoring database, so as to monitor the monitoring for subsequent users. Data query provides the basis. This process does not require manual analysis and aggregation of monitoring data, which saves a lot of labor costs and improves the monitoring efficiency of business applications.

Description

A business application monitoring method, device, electronic device, and storage medium

technical field

The present application relates to the technical field of business application monitoring, and in particular, to a business application monitoring method, device, electronic device, and storage medium.

Background technique

Business application monitoring refers to the monitoring and optimization of key business applications, improving the availability and reliability indicators of business applications, reducing the investment and workload of operation and maintenance under the premise of providing better services, and bringing more benefits to users. Business interests and customer experience.

However, the inventors found that the existing monitoring method requires manual statistics and analysis of monitoring index data, which requires a lot of labor costs, and the monitoring efficiency is not high.

SUMMARY OF THE INVENTION

The embodiments of the present application provide a business application monitoring method, apparatus, electronic device, and storage medium, so as to reduce the monitoring cost of business applications and improve the monitoring efficiency of business applications.

The embodiment of the present application adopts the following technical solutions:

In a first aspect, an embodiment of the present application provides a business application monitoring method, which is executed by a monitoring server, wherein the method includes:

Based on the monitoring interface, obtain the monitoring request of the business application;

According to the monitoring request of the business application, obtain the original monitoring data of the business application;

Perform aggregation processing on the original monitoring data of the business application, and store the aggregation processing result of the business application in a business application monitoring database.

Optionally, the monitoring request of the business application includes a business application name and monitoring items, and obtaining the original monitoring data of the business application according to the monitoring request of the business application includes:

Obtain the monitoring item data of the business application corresponding to the business application name according to the business application name and the monitoring item, and use the monitoring item data of the business application as the original monitoring data of the business application, wherein the The monitoring item data of the business application includes business indicator data and hardware indicator data.

Optionally, the obtaining the monitoring item data of the business application corresponding to the business application name includes:

determining the application log parsing rule of the business application;

According to the application log parsing rule, use a corresponding data collection tool to collect business indicator data of the business application.

Optionally, the obtaining the monitoring item data of the business application corresponding to the business application name includes:

Obtain the relationship list between the business application and the host;

According to the relationship list, the hardware indicator data of the host corresponding to the service application is acquired.

Optionally, both the host and the business application include multiple ones, the aggregation processing result includes the aggregation processing result of the host dimension and the aggregation processing result of the business application dimension, and the raw monitoring data of the business application is performed. Aggregation processing includes:

Determine the business index data and hardware index data of each business application deployed on the target host, and calculate the average value of the business index data and hardware index data of each business application as the aggregation processing result of the target host in the host dimension;

Determine the hardware index data and business index data of each host where the target business application is located, and calculate the average value of the hardware index data and business index data of each host respectively, as the aggregation processing result of the target business application in the business application dimension;

Wherein, the target host is any one of multiple hosts, and the target service application is any one of multiple service applications.

Optionally, the business application monitoring database is an ElasticSearch search engine, and storing the aggregated processing results of the business application in the business application monitoring database includes:

The aggregate processing result of the business application is stored in the index shard corresponding to the ElasticSearch search engine in the form of a time axis.

Optionally, the method further includes:

Based on the monitoring interface, receiving a monitoring data query request from a business application;

The query is performed in the business application monitoring database according to the monitoring data query request, and the monitoring data query result is returned.

Optionally, the monitoring data query request includes a time range, a target business application name, and a target monitoring item, and the query is performed in the business application monitoring database according to the monitoring data query request, and the returned monitoring data query result includes: :

The monitoring data corresponding to the target business application name and the target monitoring item within the time range is queried in the business application monitoring database, as the monitoring data query result.

Optionally, the business application refers to a tested application in a stress test environment, the monitoring request of the business application further includes a stress test script, and the original data of the business application is obtained according to the monitoring request of the business application. Monitoring data also includes:

According to the stress test script, the raw monitoring data of the application under test in the stress test environment is acquired.

Optionally, the dimensions of the original monitoring data include a business application dimension and a host dimension, and both the business application dimension and the host dimension include one or more of the following monitoring items: CPU usage, memory, traffic, and the number of responses. , response time and system success rate.

In a second aspect, an embodiment of the present application further provides a service application monitoring apparatus, which is applied to a monitoring server, wherein the apparatus is used to implement any one of the aforementioned methods.

In a third aspect, an embodiment of the present application also provides an electronic device, including:

processor; and

a memory arranged to store computer-executable instructions which, when executed, cause the processor to perform any of the methods described above.

In a fourth aspect, embodiments of the present application further provide a computer-readable storage medium, where the computer-readable storage medium stores one or more programs, and the one or more programs are executed by an electronic device including multiple application programs , causing the electronic device to execute any one of the aforementioned methods.

The above-mentioned at least one technical solution adopted in the embodiment of the present application can achieve the following beneficial effects: the business application monitoring method in the embodiment of the present application can be executed by a monitoring server deployed separately, and when monitoring the business application, first based on a preset unified The monitoring interface obtains the monitoring request of the business application; then, according to the monitoring request of the business application, the original monitoring data corresponding to the business application is obtained; finally, the original monitoring data of the business application is aggregated, and the aggregated processing result of the business application is stored in the business application. In the application monitoring database, it is convenient to monitor the business application subsequently according to the data stored in the business application monitoring database. Through the preset unified monitoring interface, the business application monitoring method of the embodiment of the present application can collect and aggregate the data of corresponding business applications according to the needs of users, and store the processing results in the business application monitoring database for subsequent users. The query of monitoring data provides a basis. This process does not require manual analysis and aggregation of monitoring data, which saves a lot of labor costs and improves the monitoring efficiency of business applications.

Description of drawings

The drawings described herein are used to provide further understanding of the present application and constitute a part of the present application. The schematic embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation of the present application. In the attached image:

1 is a schematic structural diagram of a performance baseline platform system applied in a stress test scenario in the prior art;

FIG. 2 is a schematic flowchart of a business application monitoring method according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a business application monitoring process according to an embodiment of the present application;

FIG. 4 is an overall architecture diagram of a business application monitoring system according to an embodiment of the present application;

5 is a schematic structural diagram of a service application monitoring device according to an embodiment of the present application;

FIG. 6 is a schematic structural diagram of an electronic device in an embodiment of the present application.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below with reference to the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

The technical solutions provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

In practical applications, the performance, availability, and reliability of business applications need to be monitored in many scenarios. For example, in a stress test scenario, by simulating the software and hardware environment of the tested business application and the system load of the user's use process, long-term or Run the business application under test under super load to test the performance, reliability, and stability of the business application under test. In order to find out the full-link performance baseline of the tested service application, standardize the full-link stress testing process, and lower the stress testing threshold, it is necessary to monitor the overall operation of the tested service application in the stress testing environment.

As shown in Figure 1, a schematic structural diagram of a performance baseline platform system applied in a stress test scenario in the prior art is provided, which mainly involves three major modules: 1) The pressure generating end is used to prepare the pressure generating data, production and assemble various stress test scripts; 2) the environment management terminal, which is used to quickly build the stress test environment and align the baseline version; 3) the monitoring terminal, which is used to obtain the business and hardware monitoring indicators of each module, and perform aggregate calculation and display.

However, the existing monitoring terminal needs to manually check the hardware monitoring indicators and application logs in the Zabbix monitoring component to analyze the monitoring situation of business applications, and manually summarize the monitoring indicator data according to the business application dimension, which requires a lot of labor costs. , and the monitoring efficiency is not high.

Based on this, the embodiment of the present application provides a business application monitoring method for the above monitoring terminal. It should be noted here that the application scenarios listed above are only for the convenience of understanding the technical solution of the present application, and the specific application of the technical solution of the present application. The scenario is not limited to this, for example, it can also be applied to monitoring of business applications in non-test scenarios, so this should not constitute an improper limitation of the protection scope of the present application.

Specifically, the business application monitoring method provided by the embodiment of the present application is executed by a monitoring server. As shown in FIG. 2 , a schematic flowchart of a business application monitoring method is provided, and the method includes at least the following steps S210 to S230:

Step S210, based on the monitoring interface, obtain the monitoring request of the business application.

The business application monitoring method in the embodiment of the present application may be executed by a monitoring server deployed separately. For example, the monitoring terminal in the performance baseline platform system listed above may be regarded as a monitoring server. Before monitoring the business application, the embodiment of the present application sets a unified monitoring interface on the monitoring server in advance, which can uniformly receive the monitoring request of the business application sent by the front end, and can also provide a unified query entry for subsequent user queries, which greatly improves the It facilitates users' monitoring requirements for business applications and improves monitoring efficiency.

During business application monitoring, the monitoring request of the front-end business application can be obtained through the above-mentioned preset unified monitoring interface. The obtaining method here can be active or passive receiving, and the obtaining frequency can be real-time obtaining. It may also be obtained every preset time, such as every 5 seconds, or once every minute. How to obtain the monitoring request of the business application can be flexibly set by those skilled in the art according to actual needs, which is not specifically limited here.

Step S220: Acquire original monitoring data of the business application according to the monitoring request of the business application.

After the monitoring request of the business application is obtained, the raw monitoring data corresponding to the business application can be collected according to the monitoring request of the business application. The frequency of data collection can also be real-time collection, or every preset time such as every 5 seconds, or It is collected once every minute, which can be set corresponding to the acquisition frequency of the monitoring request of the above-mentioned business application. Of course, how to specifically set the data collection frequency can also be flexibly set by those skilled in the art according to actual needs, which is not specifically limited here.

The raw monitoring data here can be understood as various data generated during the actual operation of the business application, which is used as the basic data for subsequent processing.

Step S230: Perform aggregation processing on the original monitoring data of the business application, and store the aggregation processing result of the business application in a business application monitoring database.

Since the amount of data and data dimensions generated by business applications in the actual operation process are very rich, in order to facilitate subsequent users to view the monitoring data and meet the monitoring needs of users, the embodiment of the present application may Aggregation processing makes the aggregated monitoring data more comprehensive and clear, eliminating the need for users to manually analyze and summarize monitoring data, thereby improving the monitoring efficiency of business applications and meeting the monitoring needs of users.

In order to provide a query basis for subsequent users to query the monitoring data, the embodiment of the present application can store the business application aggregation processing result obtained after the aggregation processing in the business application monitoring database, so as to achieve effective management of the monitoring data.

Through the preset unified monitoring interface, the business application monitoring method of the embodiment of the present application can collect and aggregate the data of corresponding business applications according to the needs of users, and store the processing results in the business application monitoring database for subsequent users. The query of monitoring data provides a basis, and the process does not require manual analysis and aggregation of monitoring data, which saves a lot of labor costs and improves the monitoring efficiency of business applications.

In an embodiment of the present application, the monitoring request of the business application includes a business application name and monitoring items, and obtaining the original monitoring data of the business application according to the monitoring request of the business application includes: according to the business application The application name and the monitoring item, obtain the monitoring item data of the business application corresponding to the business application name, and use the monitoring item data of the business application as the original monitoring data of the business application, wherein the monitoring of the business application Item data includes business indicator data and hardware indicator data.

The monitoring request of the business application in this embodiment of the present application may specifically include the business application name and monitoring items, etc. The business application name refers to the name identifier of the business application that the user wants to monitor, such as business application A, business application B, and business application C. And so on, the monitoring items refer to the data of which dimensions of the business application the user wants to monitor, such as monitoring item x1, monitoring item x2, monitoring item x3, and so on.

In the actual application scenario, the front-end page can display the list of business applications and monitoring items that can be monitored for users, from which the user can select the business application that he wants to monitor, such as business application A, and the corresponding monitoring items, such as monitoring Item x1 and monitoring item x2, so that when the embodiment of the present application obtains the monitoring request of the front-end business application, it can collect the business application A in the monitoring request according to the information such as the business application name A and the monitoring items x1 and x2 carried in the monitoring request. The monitoring data under monitoring items x1 and x2 are used as the original monitoring data of business application A. The raw monitoring data can be divided into business index data and hardware index data. The business index data refers to the index data of the business application itself, and the hardware index data refers to the hardware index data of the host where the business application is located.

In an embodiment of the present application, the obtaining the monitoring item data of the business application corresponding to the business application name includes: determining an application log parsing rule of the business application; using the corresponding data according to the application log parsing rule The collection tool collects service indicator data of the service application.

As mentioned above, the monitoring item data of a business application may include business indicator data. When acquiring business indicator data of a business application in this embodiment of the present application, it is mainly acquired based on the application log of the business application. However, the application logs of different business applications are analyzed. The rules are different, so this embodiment of the present application can first determine the application log parsing rule corresponding to the business application according to the business application name, and then use the corresponding data collection tool to collect the business index data of the business application according to the application log parsing rule.

The data collection tools here may include tools such as Flume, Kafka, and Logstash, for example. Flume is an open source, highly reliable, highly scalable, easy-to-manage data acquisition system that supports customer expansion. Flume uses JRuby to build and relies on the Java runtime environment. Kafka is a distributed, partitioned, multi-replica, multi-subscriber, distributed log system based on Zookeeper coordination. It is often used for Web/nginx logs, access logs, message services, and more. Logstash is an open source data collection engine with real-time pipeline capabilities, Logstash can dynamically unify data from different data sources and normalize the data to the destination of the user's choice.

In addition to the several data collection tools listed above, raw monitoring data can also be collected through custom scripts. Of course, which data collection tools are used can be flexibly set by those skilled in the art according to actual needs, which is not specifically limited here.

In an embodiment of the present application, the obtaining the monitoring item data of the business application corresponding to the business application name includes: obtaining a relationship list between the business application and the host; obtaining a relationship list with the business application according to the relationship list The hardware indicator data of the corresponding host.

As mentioned above, the monitoring item data of the business application may also include hardware indicator data. When acquiring the hardware indicator data of the business application in this embodiment of the present application, the relationship list between the business application and the host may be obtained first, which may be developed from the Hippo enterprise application. The relationship list between business applications and hosts is obtained from the platform, that is, Hippo will store the host list corresponding to each business application, and then according to the host list, the hardware monitoring items of the host configured in advance by the user can be obtained from the Zabbix monitoring component. The data is used as the hardware indicator data of the host corresponding to the business application.

Hippo is an application publishing platform that can provide a standardized deployment process for the applications it accesses. Applications that meet the application standards can be connected to the application publishing platform and deployed using the standardized deployment process. Zabbix is an enterprise-level open source solution that provides distributed system monitoring and network monitoring functions based on WEB interface. Zabbix can monitor various network parameters, ensure the safe operation of server systems, and provide a flexible notification mechanism to allow system administrators Quickly locate/solve various problems. Of course, in addition to using these two tools to collect the hardware index data of the host, those skilled in the art can also select other tools according to actual needs, which are not specifically limited here.

In an embodiment of the present application, both the host and the business application include multiple ones, and the aggregation processing result includes an aggregation processing result in a host dimension and an aggregation processing result in a business application dimension. Aggregating the raw monitoring data includes: determining the business indicator data and hardware indicator data of each business application deployed on the target host, and averaging the business indicator data and hardware indicator data of each business application respectively, as the target host. Aggregate processing results in the host dimension; determine the hardware index data and business index data of each host where the target business application is located, and calculate the average value of the hardware index data and business index data of each host, as the target business application in the business The aggregation processing result of the application dimension; wherein, the target host is any one of multiple hosts, and the target business application is any one of multiple business applications. .

After the business indicator data of the business application and the hardware indicator data of the host are collected, the hardware indicator data of the host and the business indicator data can be aggregated separately in the business application dimension and the host dimension, that is, the business indicator data corresponding to each business application Associate with hardware indicator data.

Specifically, the above business application dimension and host dimension may include one or more of the following monitoring items: CPU usage, memory, traffic, number of responses, response time, and system success rate. Of course, those skilled in the art may It is required to flexibly set monitoring items of other dimensions, which are not listed here.

When performing aggregation processing on the above monitoring items, the aggregation calculation can be performed from two dimensions, the business application dimension and the host dimension. For example, assuming that business application A, business application B and business application C are deployed on host 1, then for the monitoring item of traffic, business application A, business application B and business application can be obtained respectively from the Zabbix monitoring component. The traffic of application C on host 1, and then the sum of the traffic of business application A, business application B, and business application C on host 1 is averaged to obtain the traffic of host 1, which is used as the business indicator data of the host dimension. .

Assuming that the hosts where business application A is located include host 1, host 2 and host 3, then for the monitoring item of CPU usage, the CPU corresponding to host 1, host 2 and host 3 can be obtained from the Zabbix monitoring component respectively. The usage rate is calculated, and then the sum of the CPU usage rates corresponding to host 1, host 2, and host 3 is averaged to obtain the CPU usage rate of business application A, which is used as the hardware indicator data of the business application dimension.

Through the above aggregation processing process, the business application indicators and hardware indicator data of business applications can be aggregated and associated, which provides strong support for subsequent user queries, saves the user's manual analysis and aggregation of monitoring data, and satisfies the user's needs. Monitoring requirements improve the monitoring efficiency of business applications.

In an embodiment of the present application, the business application monitoring database is an ElasticSearch search engine, and the storing the aggregated processing result of the business application in the business application monitoring database includes: storing the aggregated processing result of the business application as a The form of the timeline is stored in the index shard corresponding to the ElasticSearch search engine.

In order to provide strong support for subsequent user queries, the embodiment of the present application may store the aggregated processing result of the business application in the business application monitoring database. Specifically, the ElasticSearch search engine can be used for data storage. ElasticSearch is a search server based on Lucene, which provides a full-text search engine with distributed multi-user capabilities, which can achieve real-time search, stable, reliable, fast, and easy to install and use. . Of course, in addition to using ElasticSearch for data storage, other databases such as MySQL can also be used, which can also achieve the purpose to be achieved by the embodiments of the present application, which will not be listed one by one.

As mentioned above, the collection and aggregation processing of the original monitoring data in this application can be performed in real time or at certain time intervals, so the obtained aggregation processing results can also be stored in the database in real time or at certain time intervals. When storing, it can be stored in the form of a time axis. For example, if the raw monitoring data is aggregated every 5 seconds, the abscissa of the time axis can be divided into time intervals of 5 seconds, and the ordinate can be set to the monitoring data. Monitoring items, such as CPU usage, memory, etc., can then obtain the change of each monitoring item indicator over time.

In an embodiment of the present application, the method further includes: based on the monitoring interface, receiving a monitoring data query request of a business application; querying the business application monitoring database according to the monitoring data query request, and returning Monitor data query results.

The unified monitoring interface preset in this embodiment of the present application can also provide users with a unified query service. Specifically, the front-end page can provide users with a query interface, and users can select or input relevant information about the business application they want to query in the query interface. information to trigger the monitoring data query request of the business application, so that the embodiment of the present application can receive the monitoring data query request of the business application triggered by the user at the front end through the monitoring interface, and then monitor the database in the business application according to the monitoring data query request. Query and return the monitoring data query results to the front-end, so that the front-end page can display the monitoring data query results.

In an embodiment of the present application, the monitoring data query request includes a time range, a target business application name and a target monitoring item, the business application monitoring database is queried according to the monitoring data query request, and returned The monitoring data query result includes: querying the business application monitoring database for monitoring data corresponding to the target business application name and the target monitoring item within the time range as the monitoring data query result.

In practical application scenarios, users can select the time range, target business applications and target monitoring items they want to query and monitor according to actual needs, that is, the front-end query interface can provide users with this function, so that the received monitoring data can be queried. The request carries information such as time range, target business application name, and target monitoring items. When performing data query, the monitoring data corresponding to the target business application name and target monitoring item within the time range can be queried in the business application monitoring database as the monitoring data query result. Of course, it should be noted that the query information specifically included in the monitoring data query request can be flexibly set by those skilled in the art according to actual needs, and will not be listed one by one here.

For example, suppose the time range carried in the monitoring data query request triggered by the user is from 10:00 am on September 1, 2020 to 11:00 am on September 1, 2020, the target business application name is business application A, and the target monitoring item is CPU usage and memory, you can call the CPU usage and memory of business application A in the business application monitoring database, and intercept the time from 10:00 am on September 1, 2020 to 11:00 am on September 1, 2020 The data of the segment is returned to the front end as the final monitoring data query result.

As mentioned above, a business application may be deployed on multiple hosts, so in an embodiment of the present application, the monitoring data query request triggered by the user may be the monitoring data for a business application on a certain host The query request can also be a query request for the monitoring data of the service application on all hosts where it is deployed. Therefore, the business application monitoring method according to the embodiment of the present application can satisfy the user's monitoring requirements for monitoring data of the business application dimension and the host dimension at the same time, and has higher flexibility.

In an embodiment of the present application, the business application refers to an application under test in a stress test environment, the monitoring request of the business application further includes a stress test script, and the monitoring request of the business application is to obtain all the The original monitoring data of the business application further includes: acquiring the original monitoring data of the application under test in the stress test environment according to the stress test script.

As mentioned above, the business application monitoring method of the embodiment of the present application can be applied to a stress test scenario, so the business application here may specifically refer to a tested application in a stress test environment. In the stress test scenario, the performance and reliability of the application under test can be tested through the stress test script. Therefore, the original monitoring data of the application under test in the stress test environment can be obtained according to the operation of the stress test script to meet the User monitoring requirements for business applications in a stress test environment.

In order to facilitate the understanding of the embodiments of the present application, FIG. 3 provides a schematic diagram of a business application monitoring process. As shown in FIG. 3 , in the business application monitoring process of the embodiment of the present application, the application log of the business application is first obtained and analyzed, and then the business indicator data of the business application is obtained, and the relationship list information between the business application and the host is obtained through Hippo, The Zabbix monitoring component obtains the hardware metrics data of the host. Then, the data of these three aspects are aggregated, and then the aggregated processing results are written into the business application monitoring database for storage, thereby providing a basis for user query, so that users can query the monitoring data through a unified query portal.

Correspondingly, FIG. 4 provides an overall architecture diagram of a business application monitoring system. As shown in FIG. 4 , the business application monitoring system of the embodiment of the present application mainly includes a data collection layer, a data processing layer, a data storage layer and a data service layer. The data collection layer is mainly used to collect raw monitoring data of business applications using various data collection tools, the data processing layer is mainly used to aggregate the collected raw monitoring data, and the data storage layer is used to store the results of the aggregation processing. In order to provide the basis for subsequent user queries, the data service layer is used to provide users with a unified query entry to meet users' query requirements for monitoring data of different business applications.

The above-mentioned business application monitoring process and business application monitoring system can complete the collection, processing and storage of business index data and hardware index data of business applications in a timed and self-driven manner. By monitoring the interface service, you can automatically, quickly and accurately query various business indicators and hardware indicators configured by business applications, and at the same time have traceability to historical data. This process no longer needs to manually query monitoring data from different monitoring components and manually analyze and summarize it, saving a lot of manpower and material costs, while improving throughput and efficiency in performance testing scenarios.

The embodiment of the present application further provides a business application monitoring device 500, which is applied to a monitoring server. As shown in FIG. 5, the device 500 includes: a first obtaining unit 510, a second obtaining unit 520, and an aggregation unit 530, wherein:

The first obtaining unit 510 is configured to obtain the monitoring request of the business application based on the monitoring interface;

A second obtaining unit 520, configured to obtain the original monitoring data of the business application according to the monitoring request of the business application;

The aggregation unit 530 is configured to perform aggregation processing on the original monitoring data of the business application, and store the aggregation processing result of the business application in a business application monitoring database.

In an embodiment of the present application, the monitoring request of the service application includes a service application name and a monitoring item, and the second obtaining unit 520 is specifically configured to: obtain the service application name and the monitoring item according to the service application name and the monitoring item. The monitoring item data of the business application corresponding to the business application name, and the monitoring item data of the business application is used as the original monitoring data of the business application, wherein the monitoring item data of the business application includes business indicator data and hardware indicator data.

In an embodiment of the present application, the second acquiring unit 520 is specifically configured to: determine an application log parsing rule of the business application; and use a corresponding data collection tool to collect the business application according to the application log parsing rule business metrics data.

In an embodiment of the present application, the second obtaining unit 520 is specifically configured to: obtain a relationship list between the business application and the host; obtain hardware indicator data of the host corresponding to the business application according to the relationship list .

In an embodiment of the present application, both the host and the service application include multiple, and the aggregation processing result includes the aggregation processing result of the host dimension and the aggregation processing result of the business application dimension. The aggregation unit 530 specifically uses To: determine the business index data and hardware index data of each business application deployed on the target host, and calculate the average value of the business index data and hardware index data of each business application respectively, as the aggregation processing result of the target host in the host dimension ; Determine the hardware index data and business index data of each host where the target business application is located, and calculate the average value of the hardware index data and business index data of each host, as the aggregation processing result of the target business application in the business application dimension; Wherein, the target host is any one of multiple hosts, and the target service application is any one of multiple service applications.

In an embodiment of the present application, the business application monitoring database is an ElasticSearch search engine, and the aggregation unit 530 is specifically configured to: store the aggregated processing results of the business application in the ElasticSearch search engine in the form of a timeline in the corresponding index shard.

In an embodiment of the present application, the apparatus further includes: a receiving unit, configured to receive a monitoring data query request of a business application based on the monitoring interface; a query unit, configured to perform a query request on the monitoring data in the The business application performs a query in the monitoring database, and returns the monitoring data query result.

In an embodiment of the present application, the monitoring data query request includes a time range, a target business application name and a target monitoring item, and the query unit is specifically configured to: query the business application monitoring database within the time range , and the monitoring data corresponding to the target service application name and the target monitoring item is used as the monitoring data query result.

In an embodiment of the present application, the business application refers to an application under test in a stress test environment, the monitoring request of the business application further includes a stress test script, and the second obtaining unit 520 is specifically configured to: The stress test script is used to obtain the raw monitoring data of the application under test in the stress test environment.

In an embodiment of the present application, the dimensions of the original monitoring data include a business application dimension and a host dimension, and both the business application dimension and the host dimension include one or more of the following monitoring items: CPU usage, memory , traffic, number of responses, response time, and system success rate.

It can be understood that the above-mentioned business application monitoring device can implement the various steps of the business application monitoring method performed by the monitoring system server provided in the foregoing embodiments. The relevant explanations about the business application monitoring method are all applicable to the business application monitoring device, and are not used here. Repeat.

FIG. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to FIG. 6 , at the hardware level, the electronic device includes a processor, and optionally an internal bus, a network interface, and a memory. The memory may include memory, such as high-speed random-access memory (Random-Access Memory, RAM), and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. Of course, the electronic equipment may also include hardware required for other services.

The processor, the network interface, and the memory can be connected to each other through an internal bus, which can be an ISA (Industry Standard Architecture, industry standard architecture) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard) bus. StandardArchitecture, extended industry standard structure) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one bidirectional arrow is shown in FIG. 6, but it does not mean that there is only one bus or one type of bus.

memory for storing programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory may include memory and non-volatile memory and provide instructions and data to the processor.

The processor reads the corresponding computer program from the non-volatile memory into the memory and runs it, forming a business application monitoring device on a logical level. The processor executes the program stored in the memory, and is specifically used to perform the following operations:

Based on the monitoring interface, obtain the monitoring request of the business application;

According to the monitoring request of the business application, obtain the original monitoring data of the business application;

Perform aggregation processing on the original monitoring data of the business application, and store the aggregation processing result of the business application in a business application monitoring database.

The above-mentioned method executed by the service application monitoring apparatus disclosed in the embodiment shown in FIG. 5 of the present application may be applied to a processor, or implemented by a processor. A processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above-mentioned method can be completed by a hardware integrated logic circuit in a processor or an instruction in the form of software. The above-mentioned processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (Digital SignalProcessor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The methods, steps, and logic block diagrams disclosed in the embodiments of this application can be implemented or executed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the methods disclosed in conjunction with the embodiments of the present application may be directly embodied as executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art. The storage medium is located in the memory, and the processor reads the information in the memory, and completes the steps of the above method in combination with its hardware.

The electronic device can also execute the method executed by the service application monitoring apparatus in FIG. 5 , and implement the functions of the service application monitoring apparatus in the embodiment shown in FIG. 5 , which is not repeated in this embodiment of the present application.

The embodiments of the present application also provide a computer-readable storage medium, where the computer-readable storage medium stores one or more programs, and the one or more programs include instructions, and the instructions are executed by an electronic device including multiple application programs. , the electronic device can be made to execute the method executed by the service application monitoring apparatus in the embodiment shown in FIG. 5 , and is specifically used to execute:

Based on the monitoring interface, obtain the monitoring request of the business application;

According to the monitoring request of the business application, obtain the original monitoring data of the business application;

Perform aggregation processing on the original monitoring data of the business application, and store the aggregation processing result of the business application in a business application monitoring database.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

Memory may include non-persistent memory in computer readable media, random access memory (RAM) and/or non-volatile memory in the form of, for example, read only memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media includes both persistent and non-permanent, removable and non-removable media, and storage of information may be implemented by any method or technology. Information may be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage medium include, but not limited to phase variable memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), only read memory memory (ROM), electrical eradication, programmable only read memory (EEPROM), flash memory or other memory technologies, read only CD-ROMs (CD-ROM), digital multifunctional CD (DVD) or other optical storage, or other optical storage, or other optical storage, or other optical storage, or other optical storage, or other optical storage, or other optical storage, or other optical storage, or other optical storage, or other optical storage, or other optical storage, Magnetic box tape, tape magnetic disk storage or other magnetic storage device or any other non -transmission medium can be used to store information that can be accessed by computing devices. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

It should also be explained that the term "includes", "includes" or any other variants that covers non -exclusive contains, so that the processes, methods, products or equipment of a series of elements include Other elements not expressly listed, or elements inherent in the process, method, commodity, or apparatus are also included. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article of manufacture, or device that includes the element.

Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems or computer program products. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The above descriptions are merely examples of the present application, and are not intended to limit the present application. Various modifications and variations of this application are possible for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the scope of the claims of this application.

Claims (13)

1. A business application monitoring method performed by a monitoring server, wherein the method comprises:

acquiring a monitoring request of a service application based on a monitoring interface;

acquiring original monitoring data of the service application according to the monitoring request of the service application;

and aggregating the original monitoring data of the service application, and storing the aggregation processing result of the service application into a service application monitoring database.

2. The method of claim 1, wherein the monitoring request of the service application includes a service application name and a monitoring item, and the obtaining raw monitoring data of the service application according to the monitoring request of the service application includes:

and acquiring monitoring item data of the service application corresponding to the service application name according to the service application name and the monitoring item, and taking the monitoring item data of the service application as original monitoring data of the service application, wherein the monitoring item data of the service application comprises service index data and hardware index data.

3. The method of claim 2, wherein the obtaining of monitoring item data of the service application corresponding to the service application name comprises:

determining an application log analysis rule of the service application;

and acquiring the service index data of the service application by using a corresponding data acquisition tool according to the application log analysis rule.

4. The method of claim 3, wherein the obtaining monitoring item data of the service application corresponding to the service application name comprises:

acquiring a relation list of the service application and a host;

and acquiring hardware index data of the host corresponding to the service application according to the relation list.

5. The method of claim 4, wherein the host and the business application each include a plurality of hosts, the aggregation processing result includes an aggregation processing result of a host dimension and an aggregation processing result of a business application dimension, and the aggregating the raw monitoring data of the business application includes:

determining service index data and hardware index data of each service application deployed on a target host, and respectively averaging the service index data and the hardware index data of each service application to obtain an aggregation processing result of the target host in host dimensions;

determining hardware index data and service index data of each host where a target service application is located, and respectively averaging the hardware index data and the service index data of each host to serve as an aggregation processing result of the target service application in a service application dimension;

the target host is any one of a plurality of hosts, and the target business application is any one of a plurality of business applications.

6. The method of claim 1, wherein the business application monitoring database is an ElasticSearch search engine, and wherein storing the aggregated processing results of the business application into the business application monitoring database comprises:

and storing the aggregation processing result of the service application into the index fragment corresponding to the ElasticSearch search engine in a time axis form.

7. The method of claim 1, wherein the method further comprises:

receiving a monitoring data query request of a service application based on the monitoring interface;

and inquiring in the service application monitoring database according to the monitoring data inquiry request, and returning a monitoring data inquiry result.

8. The method of claim 7, wherein the monitoring data query request includes a time range, a target business application name and a target monitoring item, and the querying in the business application monitoring database according to the monitoring data query request and returning a monitoring data query result includes:

and querying the monitoring data corresponding to the target business application name and the target monitoring item in the time range in the business application monitoring database as the monitoring data query result.

9. The method of claim 1, wherein the service application refers to a tested application in a stress test environment, the monitoring request of the service application further includes a stress test script, and the obtaining raw monitoring data of the service application according to the monitoring request of the service application further includes:

and acquiring the original monitoring data of the tested application under the pressure test environment according to the pressure test script.

10. The method of any of claims 1 to 9, wherein the dimensions of the raw monitoring data include a business application dimension and a host dimension, each of the business application dimension and the host dimension including one or more of the following monitoring items: CPU utilization, memory, traffic, response times, response time, and system success rate.

11. A business application monitoring apparatus applied to a monitoring server, wherein the apparatus is configured to implement the method of any one of claims 1 to 10.

12. An electronic device, comprising:

a processor; and

a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method of any one of claims 1 to 10.

13. A computer readable storage medium storing one or more programs which, when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the method of any of claims 1-10.

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