The rapid evolution of cloud-native computing has significantly transformed contemporary web engineering through the adoption of containerization and orchestration technologies. Docker and Kubernetes have emerged as foundational technologies for scalable, resilient, and automated software infrastructures. This research-review article critically evaluates optimization strategies, infrastructure models, and deployment architectures associated with Docker and Kubernetes ecosystems. The study synthesizes existing literature to examine container orchestration frameworks, microservices scalability, CI/CD integration, security enforcement, workload optimization, and cloud-native operational models. The article further investigates how Kubernetes improves resource scheduling, service reliability, and high-availability architectures within distributed systems. Special attention is given to modern security automation, including LLM-enhanced application testing and privacy validation mechanisms in containerized environments. The research identifies critical gaps involving orchestration complexity, resource overhead, latency optimization, and security governance. Findings indicate that Docker and Kubernetes significantly improve deployment consistency, scalability, infrastructure portability, and operational automation, although challenges remain regarding security orchestration, cluster management complexity, and observability optimization. The paper contributes a consolidated analytical perspective on contemporary container ecosystems and proposes strategic directions for future cloud-native infrastructure engineering