Spring Boot is increasingly favored in the Java ecosystem. This post compares virtual threads' performance against native threads in a Spring Boot application calculating the Fibonacci sum for 10,000 using a REST endpoint. Load testing with JMeter reveals slight throughput differences, highlighting virtual threads' efficiency in resource consumption despite minimal performance benefits in CPU-intensive tasks.
SpringBoot is a popular framework for Java web applications, facing performance challenges like memory, thread, CPU, and system issues. Effective tuning and monitoring with tools like yCrash can identify and resolve these bottlenecks, enhancing service availability and efficiency, thereby improving response times and reducing operational costs in enterprise environments.
The Spring IOC Container currently builds all dependencies for a requested bean, leading to unnecessary memory and CPU usage due to unused objects. The proposed solution suggests implementing a lazy-loading feature for dependencies, allowing the container to create required objects dynamically during runtime, thereby optimizing resource utilization and performance.
