Service monitoring method and system based on cloud native data warehouse

Abstract

The invention discloses a service monitoring method and system based on a cloud native data warehouse, and relates to the technical field of the Internet. The method comprises the steps: synchronizing data generated in each service field to the cloud native data warehouse, querying corresponding data from the cloud native data warehouse based on preset index calculation configuration data, and carrying out the index calculation to generate index data; and calculating the index data according to a preset alarm rule to obtain alarm information, and notifying an alarm receiver when the alarm information reaches a preset alarm threshold value. Compared with a traditional method, the service monitoring method and monitoring system based on the cloud native data warehouse solve the problems that the iteration period of incremental indexes is long, index data are dispersed, and the real-time performance of index calculation cannot be guaranteed.

Description

technical field [0001] The present invention relates to the field of Internet technology, in particular to a business monitoring method and system based on a cloud-native data warehouse. Background technique [0002] The rapid development of the Internet has made the use of the Internet more and more common. The Internet has not only become a communication bridge within the enterprise, but also an important channel for various business transactions between the enterprise and the outside. With the continuous innovation and improvement of the Internet service model and product structure, the Internet business is also developing continuously. Internet business has given full play to the optimization and integration role of the Internet in the allocation of production factors, deeply integrated the innovative achievements of the Internet into various economic and social fields, and formed a wider new form of economic development with the Internet as the infrastructure and realiz...

AI Technical Summary

Problems solved by technology

[0003] However, the total amount of index data in various business fields is huge, which is difficult to aggregate and integrate in real time, and cannot provide unified and real-time query and analysis capabilities, which makes the index data scattered and forms data islands to a certain extent. At the same time, data sources are diverse and require customized processing and conversion logic , the indicator data is reported by itself, which is cumbersome, and there is no unified indicator production path. The indicator iteration needs to be regularly scheduled and developed, resulting in a long incremental indicator iteration cycle. At the same time, the indicator data production is limited by the data volume and computing power, and the indicator data cannot be guaranteed. real-time production

[0004] Based on the above problems, how to realize real-time business indicator data production, real-time alarm and real-time business report, so that it is impossible to find Internet business problems in a timely manner, and provide real-time data support for business pain point review and analysis, has become a must in the Internet business monitoring process. problem to be solved

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