Online problem capturing method, system and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides an online problem capturing method, system and device, electronic equipment and a storage medium. The method comprises: receiving input information of a user,and searching for a target process according to the input information; injecting a preset byte code into a target JAVA virtual machine corresponding to the target process; receiving a capture request,and executing the preset byte code to capture target data according to the capture request; and returning the captured target data. According to the method, online problem diagnosis can be achieved under the condition that the system is not shut down, problems are rapidly and efficiently positioned, and stable production and operation are guaranteed.

Description

technical field [0001] The embodiments of this specification relate to the field of computer technology, and in particular to an online problem capturing method, system, device, electronic equipment, and storage medium. Background technique [0002] With the rapid development of cloud computing technology, the application of distributed clusters has received more and more attention. Taking distributed storage systems as an example, distributed storage systems adopt scalable system structures and use multiple servers to share storage loads. Improve system reliability, availability and storage efficiency, and easy to expand. For distributed clusters such as distributed storage systems, the stability and reliability of the cluster are critical. [0003] Distributed clusters often have hundreds of nodes. Once a failure or performance bottleneck occurs in a certain link, the traditional operation and maintenance method often needs to shut down the system and check the logs repea...

AI Technical Summary

Problems solved by technology

[0003] Distributed clusters often have hundreds of nodes. Once a failure or performance bottleneck occurs in a certain link, the traditional operation and maintenance method often needs to shut down the system and check the logs repeatedly on multiple machines. The troubleshooting of simple problems often requires multiple For platforms and teams, it is more difficult to diagnose problems that are difficult to reproduce online. It takes a lot of communication costs between R&D and testing, and the efficiency of troubleshooting is very low.

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