DNS QUERY RESOLUTION OPTIMIZATION IN KUBERNETES: PERFORMANCE ENHANCEMENT STRATEGIES FOR MODERN CONTAINER ORCHESTRATION

Abstract

Domain Name System (DNS) query resolution represents a critical performance bottleneck in Kubernetes environments, where service-oriented architectures generate substantial DNS traffic. This paper presents evidence-based strategies for optimizing DNS query resolution in Kubernetes clusters, addressing network overhead, latency reduction, and scalability challenges. Through analysis of five key optimization techniques—ndots configuration, Node Local DNS Cache implementation, IPv6 query reduction, TCP enforcement, and CoreDNS scaling—this work provides actionable recommendations for improving cluster performance and resource utilization. Experimental results demonstrate 50-70% improvements in DNS resolution latency and 40-60% reduction in DNS-related network traffic when implementing the proposed optimization strategies.