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An API service intelligent monitoring system and method

An intelligent monitoring system and API service technology, applied in hardware monitoring, healthcare resources or facilities, instruments, etc., can solve the problem of high code intrusion

Inactive Publication Date: 2019-04-26
XINBO ZHUOCHANG TECH BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This solution only standardizes and records the logs of all service operations in the application system in a structured and complete manner so that the operation and maintenance personnel can find problems and record whether the service operation is abnormal, and the code is highly intrusive

Method used

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  • An API service intelligent monitoring system and method
  • An API service intelligent monitoring system and method
  • An API service intelligent monitoring system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] Such as figure 1 As shown, an API service intelligent monitoring system includes a Web indicator configuration module 100 , an Aop interception module 110 , a log real-time analysis module 120 and an alarm push module 130 .

[0043] The Web indicator configuration module 100 is used to configure information to be monitored. The information to be monitored includes indicators, threshold expressions, thresholds, API service addresses, alarm push methods, alarm responsible persons, and at least one type of information during peak hours. After the configuration is complete, the configuration information will be stored in the Redis cache server.

[0044] The Aop interception module 110 is used for intercepting the method service of the Controller layer through the encapsulated SDK and encapsulating the log in Json format. Used to monitor services in classes annotated with @Controller and @RestController.

[0045] The log real-time analysis module 120 uses Spark technology...

Embodiment 2

[0048] Such as figure 2As shown, step 200 is executed to start API service intelligent monitoring. Step 210 is executed to configure the information to be monitored on the Web page, and the configuration information will be stored in the Redis cache server after the configuration is completed. The information to be monitored includes indicators, threshold expressions, thresholds, API service addresses, alarm push methods, alarm responsible persons, and at least one type of information during peak hours. Step 220 is executed, the Aop-encapsulated SDK intercepts the method services of the Controller layer and encapsulates them into logs in Json format, and monitors the services in the classes annotated with @Controller and @RestController. The log includes at least one of the service method URL, log status, start time, end time, host IP, log content, and system name. After recoding and compression, the log is sent to the Kafka message middleware in real time through Logback vi...

Embodiment 3

[0050] The invention can improve the stability and safety of the application system operation. Able to intercept the method service output of the Controller layer through AOP. The logback plug-in is used to transmit the log frame of the Fulme cluster to the Kafka message middleware in real time. The Spark cluster receives the Kafka message and analyzes in real time whether it is abnormal and the service call time (seconds). Through SMS , email, WeChat and other channels to the relevant responsible persons. It can be predicted and solved in advance, which can reduce the probability of unavailability of the application system.

[0051] The technical framework of the present invention consists of Sping AOP+Logback+Flume+Kafka+Spark. The present invention is mainly divided into four modules: an AOP interception module, a log real-time analysis module, an alarm push module and a Web index configuration module, and each system uses the Http protocol or message middleware for intera...

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Abstract

The invention provides an API service intelligent monitoring system and method, and the system comprises a data obtaining module which is used for obtaining an inpatient expense detail list, and alsocomprises the following modules: a single disease type management module which is used for carrying out single disease type definition and determination rule management on single disease type basic information; The single-disease type judgment module is used for judging whether the patient belongs to a single-disease type or not according to the expense detail list in combination with the single-disease type definition and the judgment rule; And the single disease type control module is used for carrying out cost management and control according to the total single disease type cost amount andthe management and control catalogue of medicines and consumables. According to the single disease type judgment rule established by the system and the rule execution engine, through automatic judgment of the system, a system automatic processing process is provided for screening of single disease type patients of a medical institution, the burden of self-statistical examination of medical insurance workers is relieved, and meanwhile careless mistakes caused by manual judgment are completely eradicated.

Description

technical field [0001] The invention relates to the technical field of API service intelligent monitoring, in particular to an API service intelligent monitoring system and method. Background technique [0002] With the accelerated development of hospital interconnection and informationization, more and more application systems will be deployed in hospitals. This will lead to the gradual expansion of the daily operation and maintenance personnel of the application. In the past, when the correct message information could not be returned through the front-end interface or the interface interaction between systems, artificially log in to the remote host to check whether there are abnormal error logs in the operation log. , this method is very passive. Only when there is a problem with the service application, the operation and maintenance personnel will check the log content, and it will also increase the workload of the operation and maintenance personnel. [0003] At present...

Claims

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Application Information

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IPC IPC(8): G06F11/30G16H40/20
CPCG06F11/302G16H40/20
Inventor 吕军震李长松胥洪锋于国方史俊伟武佳
Owner XINBO ZHUOCHANG TECH BEIJING
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