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More modern web applications are produced every year, they process more data and users, so effective memory management directly affects performance. Node.js uses the V8 JavaScript Engine, where Garbage Collection (GC) automatically re- leases unused memory. Despite the convenience, this process can cause certain delays and reduce the performance of applications under high load. The purpose of the study is to examine how different garbage collection configurations and param- eters affect the memory management performance of modern Nodes.js applications. In my research, I will analyze existing research and provide a series of load tests with different GC settings. The metrics of request response time and memory usage are compared as the number of simultaneous requests increases. The results obtained will allow us to determine the optimal approaches to configuring and profiling mem- ory in the Node.They will also provide practical recommendations to developers on how to improve the performance of their applications.