Index-based alarm method and device and computer system

An index and index value technology, applied in the field of index-based alarm methods, devices and computer systems, can solve the problems of ignoring alarm signals, setting corresponding thresholds, false alarms, etc., so as to improve the accuracy rate and reduce the abnormal false alarm rate. Effect

Pending Publication Date: 2021-04-27
GUANGZHOU PINWEI SOFTWARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when there are a large number of indicators, the operation and maintenance personnel of the system have no way to set the corresponding threshold for each indicator, and can only set the threshold in batches, resulting in frequent false positives. False alarm messages, no energy to deal with them one by one, resulting in the alarm signal when an abnormality actually occurs is also ignored

Method used

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  • Index-based alarm method and device and computer system
  • Index-based alarm method and device and computer system
  • Index-based alarm method and device and computer system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] figure 1 It shows the architecture diagram of the indicator value collection and monitoring system provided by the embodiment of the present application. Such as figure 1 As shown, APPServer can regularly collect system indicators. Each indicator has a corresponding name, label, indicator value and corresponding collection time, and is transmitted to the Kafka stream processing platform through the local agent, and the Kafka stream processing platform receives and stores it in MetricsKafka . The indicator detection filter can match each stored indicator according to the indicator name and label data, identify the indicator type corresponding to the indicator, and assign it to one or more corresponding detection algorithms for real-time anomaly detection. The indicator detection filter can support matching blacklist, and does not perform anomaly detection on the indicators contained in the blacklist. The indicator detection filter can also perform matching based on th...

Embodiment 2

[0132] Corresponding to the above-mentioned embodiments, this application provides an indicator-based warning method, such as Figure 5 As shown, the method includes:

[0133] 510. Obtain an index to be detected, where the index to be detected includes an index value to be detected, collection time, and a corresponding index label;

[0134] 520. When the index type corresponding to the index to be detected is stationary or discrete, acquire a first historical index corresponding to the index label, where the first historical index includes the index collected in a first historical time period The historical index value corresponding to the label and the corresponding historical collection time;

[0135] 530. Calculate and obtain a first baseline value according to the calculation rule corresponding to the indicator type and the first historical indicator;

[0136] Preferably, the calculating the first baseline value according to the calculation rule corresponding to the indi...

Embodiment 3

[0165] Corresponding to the above embodiments, the present application provides an indicator-based warning device, such as Figure 6 As shown, the device includes:

[0166] The obtaining module 610 is used to obtain the index to be detected, the index to be detected includes the value of the index to be detected, the collection time and the corresponding index label; and when the index type corresponding to the index to be detected is stationary or discrete, obtain The first historical index corresponding to the index label, the first historical index includes the historical index value corresponding to the index label collected in the first historical time period and the corresponding historical collection time;

[0167] A calculation module 620, configured to calculate a first baseline value according to the calculation rule corresponding to the indicator type and the first historical indicator;

[0168] Prediction module 630, configured to use a first preset model to predi...

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Abstract

The invention discloses an index-based alarm method and device, and a computer system. The method comprises the steps of obtaining a to-be-detected index; obtaining a first historical index corresponding to the index label, wherein the first historical index comprises a historical index value and historical collection time collected in a first historical time period; calculating and obtaining a first baseline value according to a calculation rule corresponding to the index type and the first historical index; predicting a first normal value threshold according to the first historical index by using a first preset model; generating a first target baseline according to the first baseline value and a first normal value threshold, the target baseline comprising a normal value range of an index value corresponding to the predicted to-be-detected index in the acquisition time; when the to-be-detected index value does not meet the first target baseline, determining that the to-be-detected index is abnormal. The baseline value and the normal value threshold are obtained through calculation according to the historical indexes, the judgment rule is dynamically adjusted based on existing records, and compared with a fixed threshold method, the anomaly recognition accuracy is improved.

Description

technical field [0001] The invention relates to the field of data monitoring, in particular to an indicator-based alarm method, device and computer system. Background technique [0002] With the development of the Internet, the background system of an enterprise can generate tens of millions of index sequences every day, which reflect the current operating status and business status of the system. There are indicators indicating that the system is running normally, as well as indicators indicating system abnormalities caused by daily releases, hardware failures, network failures, or malicious access. [0003] In the prior art, abnormal indicators are usually identified through a threshold-based alarm system, for example, when the number of a certain indicator exceeds a corresponding preset threshold, an alarm signal is sent to the relevant person in charge. However, when there are a large number of indicators, the operation and maintenance personnel of the system have no wa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F16/2458G06F17/18
CPCG06F16/2471G06F17/18G06F18/23G06F18/214
Inventor 孙晓磊肖桦潘卫华
Owner GUANGZHOU PINWEI SOFTWARE
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