Space-time big data platform application performance management method based on full-link monitoring

Abstract

The invention discloses a space-time big data platform application performance management method based on full-link monitoring. The space-time big data platform application performance management method comprises the steps: 1, analyzing a full-link monitoring target and range; 2, defining an application monitoring index; 3, enabling an application server to bear the buried points; 4, enabling an application server port to monitor the buried points; 5, monitoring buried points by using a system link; 6, collecting and reconstructing a unified log; 8, judging whether an application system link is healthy or not; 9, judging whether the monitoring needs to give an alarm or not for an unhealthy application system link; 10, aiming at an application system link needing to be alarmed, judging a notification mode according to the contact person; 11, synchronizing the data to a log history library. By means of the mode, the problem that when a distributed system breaks down, quick positioning and problem solving cannot be achieved is solved.

Description

technical field [0001] The invention relates to the field of spatio-temporal big data, in particular to a method for managing the application performance of a spatio-temporal big data platform based on full-link monitoring. Background technique [0002] With the trend of big data development, spatio-temporal big data platform is an important part of its basic big data. Spatio-temporal big data refers to data with both temporal and spatial dimensions, and more than 80% of real-world data is related to geographic location. From the spatial and temporal dimensions of geographic information, the perception network layer, public facility layer (IaaS), big data layer (DaaS), platform layer (PaaS), and application layer (SaaS) are integrated and opened up. With the popularity of the microservice architecture, the spatio-temporal big data platform splits and combines different levels in its vertical dimension. A service request often involves the aggregation and forwarding of multi...

AI Technical Summary

Problems solved by technology

Due to the multi-stage construction of the current big data platform, it may be developed by different teams, may be implemented using different programming languages, may be deployed on thousands of servers, and span multiple different data centers; There is no management or passive management in performance management; and because there are many systems involved, even if there is management, there will be inconsistent management standards and different requirements, so it can only be monitored internally, and most of them can only be monitored at the server and network level Management, unable to monitor and maintain the monitoring status of the application link and the application itself in real time

The production management and application of domestic geographical space-time big data face problems such as data storage organization, data throughput processing, data integration and application, and data production process management. It is impossible to quickly locate and solve platform failures

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