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📝 **Task:** Build \`cost_recommendation(monthly_spend, growth_rate, threshold)\` returning one of \`"scale"\`, \`"rightsize"\`, or \`"ok"\`:
1. \`growth_rate > 1.5\` AND \`monthly_spend < threshold\` → \`"scale"\` (under budget AND demand is exploding — pre-buy capacity).
2. \`monthly_spend > threshold * 1.2\` → \`"rightsize"\` (>20% over budget — request/limit tuning + spot migration before scaling further).
3. \`monthly_spend > threshold\` AND \`growth_rate < 1.0\` → \`"rightsize"\` (over budget AND demand is shrinking — definite tuning signal).
4. Otherwise → \`"ok"\` (within bounds; no action this month).
\`growth_rate\` is the month-over-month multiplier (1.2 = +20% MoM).
📋 Implement the function above. Tests run automatically.
💡 **Hint:** Re-read the theory if you get stuck.
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📝 **Task:** Build \`cost_recommendation(monthly_spend, growth_rate, threshold)\` returning one of \`"scale"\`, \`"rightsize"\`, or \`"ok"\`:
1. \`growth_rate > 1.5\` AND \`monthly_spend < threshold\` → \`"scale"\` (under budget AND demand is exploding — pre-buy capacity).
2. \`monthly_spend > threshold * 1.2\` → \`"rightsize"\` (>20% over budget — request/limit tuning + spot migration before scaling further).
3. \`monthly_spend > threshold\` AND \`growth_rate < 1.0\` → \`"rightsize"\` (over budget AND demand is shrinking — definite tuning signal).
4. Otherwise → \`"ok"\` (within bounds; no action this month).
\`growth_rate\` is the month-over-month multiplier (1.2 = +20% MoM).
📋 Implement the function above. Tests run automatically.
💡 **Hint:** Re-read the theory if you get stuck.