Google Kubernetes Engine (GKE) is a managed container orchestration service that runs on the Google Cloud Platform (GCP), offering ease of use, tight monitoring, and integration with other GCP services, making it a popular choice for organizations worldwide. However, due to its resource-intensive nature, GKE can lead to unpredictable costs, emphasizing the importance of having a Kubernetes monitoring solution in place to track expenses and optimize budget allocation. Understanding how GKE resources are used is crucial to make informed decisions about where to allocate the budget. Three key metrics to monitor are cluster performance, pod performance, and GCP resource usage, with CAST AI being a recommended monitoring solution that provides real-time insights into costs, supports cost allocation efforts, and can save up to 60-70% on cloud spend.