Server state detection method and device

Abstract

The embodiment of the invention provides a server state detection method and device, which can be used in the financial field, and the method comprises the following steps: carrying out keyword interception on a network access request, determining a node query condition, calling a preset high-availability application node information table query interface according to the node query condition, and obtaining application node detail information; judging whether the application node detail information meets a detection condition or not, and if yes, determining a target detection link according to an initial detection link in the application node detail information; performing network call detection on each application node contained in the application node detail information according to the target detection link, and determining a node server state of each application node; a service request sent by a user is sent to the application nodes with the node server states being normal, and the application nodes with the node server states being abnormal are written into an abnormal node set and sent to an operation and maintenance management end; according to the invention, back-end multi-activity detection can be accurately, flexibly and lightly carried out.

Description

technical field [0001] This application relates to the field of data processing, and can also be used in the financial field, and specifically relates to a method and device for detecting the state of a server. Background technique [0002] Most of the existing WEB application high availability-multi-active detection belongs to some load-balancing application services. The general mechanism is to configure the number of check failures, check success times, request timeout and other parameters of the back-end service in the configuration file of the service. Perform backend service health check in http mode. [0003] Most of the existing multi-active mechanisms are part of load balancing application services. For example, the upstream backend service health detection configuration of nginx needs to build the application to perform WEB backend detection, perform health checks, and remove abnormal application node servers from the load list. , cannot be embedded in the applica...

AI Technical Summary

Problems solved by technology

[0003] Most of the existing multi-active mechanisms are part of load balancing application services. For example, the upstream backend service health detection configuration of nginx needs to build the application to perform WEB backend detection, perform health checks, and remove abnormal application node servers from the load list. , cannot be embedded in the application code to customize local detection with flexible multi-level configuration, and after the configuration is completed, the application needs to be restarted to take effect, which will interrupt the service, and the maintenance cost will increase after the deployment and modification of the service, which is not suitable for lightweight embedded targeted Sexual backend service health detection

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