Sarcouncil Journal of Engineering and Computer Sciences

Abstract: Hybrid cloud architectures have emerged as a pivotal solution for organizations seeking to balance flexibility, performance, and security requirements. The physical separation between cloud-hosted applications and on-premises databases introduces significant challenges in maintaining optimal performance and reducing latency. Through extensive monitoring and optimization strategies, organizations have demonstrated substantial improvements in batch processing efficiency, query response times, and overall system performance. Advanced caching architectures, connection pool management, and network optimization techniques have proven effective in mitigating latency issues and enhancing throughput. The integration of edge computing capabilities and AI-driven optimization presents promising opportunities for further performance enhancement, particularly in scenarios requiring real-time processing and analytics. By implementing comprehensive monitoring frameworks and leveraging emerging technologies, organizations can achieve improved resource utilization, reduced operational costs, and enhanced system reliability while maintaining compliance requirements across their hybrid infrastructure