Research on Software Performance Monitoring and Optimization Strategies in Microservices Architecture

Abstract

In this paper, the micro service architecture software performance monitoring and optimization strategy, expounds the micro service architecture key concepts and performance optimization strategy, and combining with simulation experiment to compare different load
balancing algorithm, monitoring and log collection level, performance analysis index optimization strategy affects the system performance.
Experimental data show that compared to the random and poll selection algorithm, The weight selection load balancing algorithm performs
better in response speed, data throughput and resource use efficiency, Its response time was reduced by 20ms, Data throughput was increased
by 10 requests per second, At the same time, the use efficiency of resources has also increased by 10%; Through a full range of monitoring
and logging, The error rate of the system has decreased by 1.5%, Response time was reduced by 45ms, Processing power was increased by 15
requests / second, At the same time, the use efficiency of resources has also increased by 15%; The optimized performance evaluation criteria
resulted in a 40-ms reduction in the response time of the system, Processing power was increased by 15 requests / second, Resource use efficiency has increased by 15%, While the error rate has decreased by 1.5%. These strategies give effective guidance to practitioners and are
conducive to improving the performance and stability of software systems in micro-service architecture.