Kubernetes Resource Center

Kubernetes overprovisioning wastes billions annually. Jobs waste 60-80% of resources, StatefulSets 40-60%. Learn which workload types waste the most and techniques to save 40-70%.

This blog will give a step by step guide to choosing the right workload type, while exposing the surprising patterns of overprovisioning that silently drain cloud budgets.

Discover the differences between Kubernetes Deployments, StatefulSets, DaemonSets, Jobs, and CronJobs. Learn when to use each workload type with real-world examples to optimize your Kubernetes architecture.

Master GPU utilization optimization in Kubernetes with systematic monitoring, workload prioritization, and governance strategies. Achieve 40-70% cost reduction while improving AI/ML performance

Learn how GPU security and isolation through MIG technology enables secure multi-tenancy, hardware-level resource partitioning, and effective workload management for teams and projects

Learn how to optimize compute, memory, storage, and containers for GPU-based machine learning workloads.