24-hour distributed website performance monitoring and real-time alarm method

Abstract

This invention provides a 24-hour distributed website performance monitoring and real-time alarm method. Existing monitoring tasks are issued to monitoring nodes in an increment manner through a centralized task scheduling engine, the nodes periodically simulate ordinary users after receiving the tasks, initiate an access request to a target website and record key access data. The monitoring points transmit the data packets generated by monitoring to a data processing center. The data processing center analyzes the received data, judge the configuration data of the tasks (such as the thresholdof an alarm time, the abnormal state code or the like), and send alarm to a website manager if the threshold is triggered. Meanwhile, the data are stored in a database, and the website manager observes and analyzes the data to perform targeted improvement on the website so as to optimize the performance of the website and improve the quality of service.

Description

technical field [0001] The invention relates to the field of website security monitoring, in particular to a 24-hour distributed website performance monitoring and real-time alarm method. Background technique [0002] In the prior art, for example, a cloud-based website security monitoring method (201410003385.0), its implementation scheme is to regularly distribute all tasks to the monitoring nodes through the distribution system of the task center to monitor the target website security. If a fixed security event (such as abnormal DNS resolution) of the monitoring setting occurs, a prompt message will be issued. It has the following disadvantages: 1. The task distribution system periodically distributes tasks to each node. If the cycle time is too long, the target website cannot be effectively monitored for a long time. If the cycle is too short, a large number of tasks will be monitored at the same time. Distribution is easy to cause too much pressure on task distribution...

AI Technical Summary

Problems solved by technology

It has the following disadvantages: 1. The task distribution system periodically distributes tasks to each node. If the cycle time is too long, the target website cannot be effectively monitored for a long time. If the cycle is too short, a large number of tasks will be monitored at the same time. Distribution is easy to cause too much pressure on task distribution, which cannot be effectively distributed to monitoring nodes, and it is easy to generate a large number of invalid monitoring

2. This solution deals with the security monitoring of various possible security incidents, without high-frequency monitoring of website access performance, and cannot improve the service quality of the website

3. Various data generated by monitoring are not stored, and historical data cannot be limitedly tracked

Images