Cost and technical judgment

Platform Cost And Migration Decisions

Storage and compute migration work that balanced modernization, reliability, and ROI instead of migrating for its own sake.

Professional case study

10+ clusters evaluated

1,000+ workloads considered

Negative-ROI migration avoided

Problem

Platform migrations and managed compute options needed cost, risk, and reliability validation before being rolled into production paths.

Action

Automated gp2-to-gp3 migration steps, validated Karpenter behavior, and evaluated EKS Auto Mode feasibility across 10+ clusters and 1,000+ workloads.

Outcome

Completed safer storage modernization work and recommended holding off on a negative-ROI compute migration path that would have created high operational toil.

engineering takeaways

Reusable patterns from the work.

These notes focus on the engineering judgment, tradeoffs, and patterns behind the work.

  • Treated no-go recommendations as valid engineering outcomes when the data did not support moving to EKS Auto Mode from existing self-managed Karpenter setup.
  • Balanced platform stability, manual migration effort, and cost premium.
  • Applied migration automation where the tradeoff was clear and beneficial.

stack

AWS EKSEBSKarpenterCost AnalysisMigration

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