How we approach cost optimization

The situation

A cloud bill that had grown steadily for a long time without anyone reviewing it end to end. Earlier attempts to reduce it had stalled, because nobody could say with confidence which changes were safe to make.

What we did

A systematic review with a constraint agreed at the start: no reduction in capacity, redundancy, or performance. Every proposed change had to be defensible against that constraint or it was excluded.

Where the spend usually goes

The waste is rarely concentrated in one obvious place. It's usually spread across many small line items — none individually large enough to prompt a review, but collectively a meaningful share of the bill.

• Storage provisioned at an older generation, never upgraded to a cheaper equivalent.
• Non-production environments running continuously outside working hours.
• Compute sized for a peak load that never arrived, running well under capacity most of the time.
• No reserved-capacity coverage on a workload with a stable, predictable baseline.
• Data-transfer charges that a small architectural change would remove entirely.

Result

A materially lower, more predictable monthly cost, with capacity unchanged and — in several cases — resilience improved as a byproduct of the review.