You are managing a suite of microservices deployed on a Kubernetes Engine cluster. Each microservice has distinct resource requirements. One specific microservice, responsible for rendering images, demands a considerable amount of CPU time but relatively little memory. The remaining microservices are configured to perform optimally on n2-standard machine types. Your objective is to fine-tune your cluster configuration to ensure that all microservices utilize resources in the most efficient manner possible. How should you achieve this?