Kubernetes, a popular platform for orchestrating containerized workloads, faces challenges like resource under-utilization and security vulnerabilities as organizations scale. DevZero emerges as a solution with its infrastructure optimization platform specifically designed to address these issues, offering precision control over resource tuning through statistical or machine learning-based predictive methods. It enhances Kubernetes' capabilities by preventing resource over-provisioning, optimizing GPU workloads for AI, and ensuring reliability through features like zero-downtime live migration using CRIU technology. DevZero also emphasizes security with its microVM-based isolation, reducing potential attack surfaces while allowing safe experimentation with untested or AI-generated code. Unlike competitors such as Kubecost and Karpenter, which focus on cost visibility and node scaling, DevZero integrates cost awareness with predictive workload-level optimization, making it an ideal choice for AI-driven, cloud-native workflows. By removing operational friction, DevZero empowers engineering teams to innovate and efficiently manage Kubernetes infrastructure, positioning itself as a platform built for modern software development.