Capacity planning for Kubernetes is challenging in cloud-native environments where workloads require precise resource allocation for availability and reliability. Achieving balance involves collaboration among DevOps, Security, and IT teams to align application architecture with underlying infrastructure. Multiple factors and competing priorities make it difficult to create a unified strategy. Effective planning requires understanding resource needs, forecasting demand, and implementing policies that optimize performance while controlling costs, ensuring scalability and resilience across dynamic cloud deployments.

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