This guide presents practical strategies for lowering cloud infrastructure costs associated with containerized workloads. Many organizations unknowingly waste large amounts of cloud spending due to idle containers, inefficient resource allocation, and poorly managed scaling policies. The document recommends first gaining full visibility into container costs by monitoring usage at the cluster, namespace, and workload level. Teams should then right-size CPU and memory allocations, implement automated horizontal and vertical scaling, and leverage spot instances for non-critical workloads. Monitoring network traffic between services can also reveal hidden costs from inefficient data transfers. By combining these practices with real-time cost monitoring tools, engineering teams can maintain per

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