Microservice architecture enhances scalability and flexibility by decomposing a single application into loosely coupled, independently deployable components. Unlike monolithic services, microservices require frequent inter-component communication and are deployed with multiple replicas primarily to ensure quick response times to varying user requests. However, existing studies have not adequately addressed the challenges inherent in multi-replica environments, leading to suboptimal performance. To address these challenges, we propose a latency-aware replica placement method and traffic allocation strategy that minimizes communication overhead among replicas while achieving load balancing. These issues are especially critical in edge-cloud environments with diverse and high inter-node latencies, leading to QoS degradation. The experimental results show significant reductions of up to 81% in the 99th percentile tail latency compared to existing techniques.