In the era of cloud-native computing, achieving high scalability, resilience, and performance has become a fundamental requirement for modern application development. This paper presents a critical review of Spring Boot, a leading Java-based framework, and its role in elevating application performance within distributed and microservices-oriented architectures. The study examines Spring Boot’s core features—such as embedded servers, auto-configuration, actuator endpoints, and integration with containerization and orchestration tools like Docker and Kubernetes—that streamline deployment and operational efficiency. Furthermore, it evaluates performance optimization techniques, fault-tolerance mechanisms, and scalability patterns enabled by Spring Cloud and reactive programming models. Through comparative analysis and case-based discussion, the review highlights both the strengths and limitations of Spring Boot in building resilient, cloud-native systems. The findings underscore Spring Boot’s effectiveness in simplifying complex infrastructure concerns while ensuring agility, observability, and robustness in modern software ecosystems.

Spring Boot, Cloud-Native Architecture, Microservices, Scalability, Application Resilience, Observability

MarketsandMarkets, "Cloud Computing Market by Service Model, Deployment Model, Organization Size, Vertical and Region - Global Forecast to 2025," 2020. [Online]. Available: https://www.marketsandmarkets.com/Market-Reports/cloud-computing-market-234.html

Spring.io, "Spring Boot Reference Documentation," 2023. [Online]. Available: https://docs.spring.io/spring-boot/docs/current/reference/htmlsingle/

Cloud Native Computing Foundation, "CNCF Survey 2021," 2021. [Online]. Available: https://www.cncf.io/wp-content/uploads/2022/02/CNCF-AR_FINAL-edits-15.2.21.pdf

J. Thönes, "Microservices," IEEE Software, vol. 32, no. 1, pp. 116-116, Jan.-Feb. 2015. [Online]. Available: https://ieeexplore.ieee.org/document/7030212

JetBrains, "The State of Developer Ecosystem 2023," 2023. [Online]. Available: https://www.jetbrains.com/lp/devecosystem-2023/java/

Pivotal Software, Inc., "Spring Boot Reference Documentation," 2023. [Online]. Available: https://docs.spring.io/spring-boot/docs/current/reference/htmlsingle/

S. Newman, "Building Microservices: Designing Fine-Grained Systems," O'Reilly Media, Inc., 2021. [Online]. Available: https://www.oreilly.com/library/view/building-microservices2nd/9781492034018/

Pivotal Software, Inc., "Spring Boot in Action," Manning Publications, 2022. [Online]. Available: https://www.manning.com/books/spring-boot-in-action

Uptime Institute, "Annual Outage Analysis 2023," Uptime Institute, 2023. [Online]. Available: https://uptimeinstitute.com/resources/research-and-reports/annual-outage-analysis-2023

J. Long, "Cloud Native Java: Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry," O'Reilly Media, Inc., 2022. [Online]. Available: https://www.oreilly.com/library/view/cloud-native-java/978144937463

Sayyed, Z. (2025). Development of a Simulator to Mimic VMware vCloud Director (VCD) API Calls for Cloud Orchestration Testing. International Journal of Computational and Experimental Science and Engineering, 11(3). https://doi.org/10.22399/ijcesen.3480

Lulla, K. L., Chandra, R. C., & Sirigiri, K. S. (2025). Proxy-based thermal and acoustic evaluation of cloud GPUs for AI training workloads. The American Journal of Applied Sciences, 7(7), 111–127. https://doi.org/10.37547/tajas/Volume07Issue07-12

Reddy Gundla, S. (2025). PostgreSQL Tuning for Cloud-Native Java: Connection Pooling vs. Reactive Drivers. International Journal of Computational and Experimental Science and Engineering, 11(3). https://doi.org/10.22399/ijcesen.3479