DevOps, Compute Cluster Resource Planning

Problem: Ensuring service level objectives in Kubernetes cluster is a challenging problem due to the absence of auto-rebalancing function. The problem is further amplified by highly custom setup and frequent changes. Manual process of managing resource utilization is extremely labor intensive and puts high pressure on the IT budget.
Input: Cluster state converted to CSV table

Output: Optimal cluster configuration table with a CSV table with listed cluster rebalancing API commands ready for execution.
Integration: Linux bash-based workflow running in a kubernetes container
Time to implement: 200 hours + integration time

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