Resource Management in Kubernetes: From Copy-Paste to Automation

A practical discussion on managing Kubernetes resource optimization and the challenges of balancing cost efficiency with reliability.

In this interview with KubeFM, Yasmin Rajabi, COO and Head of Product at StormForge, discusses:

• How the default 60% HPA target utilization stems from Kubernetes documentation examples, leading to systematic waste across clusters, and why increasing it is a safe first optimization step.
• The resource management challenge in large clusters, where copied configurations and arbitrary safety buffers compound into significant waste, particularly when managing thousands of workloads.
• Why automated resource management with machine learning helps bridge the gap between platform teams focusing on cost optimization and developers prioritizing reliability.