Authors: Mr. Akash Godere, Mr. Javeed Khan
Abstract: Micro services architectures on cloud platforms offer scalability and flexibility, but performance optimization remains a key challenge. This paper presents a comparative study of different optimization techniques for cloud-based microservices, focusing on resource utilization, load balancing, and response time reduction. Experimental evaluation on AWS and Kubernetes demonstrates significant improvements in throughput and latency when employing container- level optimization, dynamic scaling, and efficient service orchestration. The study provides actionable insights for cloud architects and developers to achieve optimal performance in microservices deployments.
