Cloud platform log collecting and forwarding method, system and device, and storage medium

Abstract

The invention provides a cloud platform log collecting and forwarding method, system and device, and a storage medium. The method comprises the following steps: obtaining application identifiers corresponding to running events; searching log configuration information the application identifiers corresponding to the events, and collecting logs corresponding to events according to the log configuration information; obtaining the application identifier corresponding to a to-be-forwarded log; and searching a corresponding routing forwarding rule according to the application identifier corresponding to the log, and forwarding the corresponding log. According to the cloud platform log collecting and forwarding method, the current log configuration information and the routing forwarding rule are dynamically obtained, after the application is dynamically scheduled or expanded or shrunk by a container cloud platform, and a log collection module on a host requires no pre-configuration and can quickly and dynamically sense the application running on the host; and the log configuration information of the application is dynamically obtained, a log collection behavior is executed, meanwhile the routing forwarding rule of the log is dynamically obtained correspondingly, and the log of the application is dynamically routed and forwarded individually.

Description

technical field [0001] The present invention relates to the technical field of cloud platforms, in particular to a cloud platform log collection and forwarding method, system, device and storage medium for dynamically acquiring current log configuration information and routing and forwarding rules. Background technique [0002] Currently, the container technology represented by Docker has brought technological innovation to the entire basic system, changing the process and method of development, testing, delivery and operation. Multiple containers can run on one physical machine or virtual machine, and resources such as file systems and networks between containers are isolated from each other. The physical machine and virtual machine are also host machines. This technology enables applications to be scheduled, run, and scaled in units of containers. The scheduling and scaling can even be performed dynamically. Compared with the traditional methods based on physical machines ...

AI Technical Summary

Problems solved by technology

The former method does not provide a plan for log collection and management, which is left to the system user to implement; the latter method will limit the directory of application log output, and the peripheral log collection system cannot well discover new needs to collect log

[0005] In particular, in an existing container log management method (CN 106383852 A), there must be pre-agreed specifications for the log configuration of the application, including information such as the output path and format of the log, but it does not point out how to make the peripheral log The collection system discovers new logs that need to be collected in time

The log configuration information based on these solutions is statically configured or agreed, and cannot be dynamically configured according to the application.

[0006] Moreover, the existing solutions cannot meet the needs of users to make personalized dynamic configurations for application log routing and forwarding.

For example, the owner of the application may dynamically adjust the forwarding destination of the log and forward it to the monitoring and alarm system or the big data analysis platform, but the existing log forwarding method cannot meet the different needs of users

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