Parveen Kumar,
Ishta Rani,
Rishi Pal,
Pooja Luthara,
Daulat Sihag,
Ritu,
- Assistant Professor, Department of Computer Science Engineering, Chandigarh University, Punjab, India
- Associate Professor, Department of Electronics and Communication Engineering, Chandigarh University, Punjab, India
- Assistant Professor, Department of Computer Science Engineering, Chandigarh University, Punjab, India
- Assistant Professor, Department of Computer Science Engineering, Chandigarh University, Punjab, India
- Assistant Professor, Department of Computer Science Engineering, Chandigarh University, Punjab, India
- Assistant Professor, Department of Computer Science Engineering, Chandigarh University, Punjab, India
Abstract
The fast development of cloud computing has immensely altered architectural outlays of the current full stack web applications. Conventional monolithic back-end systems tend to have a lack of scalability, complex deployment, and wasted resources. To overcome these issues, this paper will design and optimize cloud-native Java based back-end microservices based on Spring Boot, Docker, Kubernetes and REST based models of communication. This architecture proposal has containerized microservice implementation with an automated orchestration that provides dynamic scaling, fault isolation, and high availability. The system uses the Docker lightweight containerization system and Kubernetes system with orchestration, auto-scaling, and service discovery. Inter-service communication is accomplished via RESTful APIs, which makes it modular and loose coupled. The optimization methods of performance such as horizontal pod autoscaling, load balancing, tuning of container resources, and application-specific routers are used to improve throughput and minimize response time. Experimental analysis of load conditions in the simulated conditions proves to have a great improvement compared to conventional monolithic deployment models. The refined cloud-native framework delivers shorter response time, greater throughput, and less CPU use with resilience of the services. The findings confirm the success of integrating containerization and orchestration mechanisms in Java based microservice to achieve scalable full stack application.
Keywords: Cloud-native architecture, microservices, spring boot, Docker, Kubernetes, REST API, container orchestration, performance optimization, full stack web applications
[This article belongs to Journal of Web Engineering & Technology ]
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Journal of Web Engineering & Technology
| Volume | 13 | |
| Issue | 02 | |
| Received | 10/07/2026 | |
| Accepted | 15/09/2026 | |
| Published | 20/09/2026 | |
| Publication Time | 72 Days |