Andrei Vogulkin
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Case study

Cutting a $150k/mo AWS bill
by 6% — without touching SLAs

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Open with the problem and the stakes. A B2B SaaS platform was spending roughly $150k a month on AWS, and leadership wanted the number down — without risking the SLAs that enterprise customers were paying for. Here's how the engagement went.

Where the money was going

Start with the diagnosis. A few sentences on how you found the real cost drivers — the gap between provisioned and used capacity, idle non-production environments, and so on.

  • Over-provisioned compute sitting well below utilization targets
  • Demo and staging environments running around the clock
  • Data transfer and storage tiers nobody had revisited in a year
A short, quotable line that captures the core insight of the piece.

What actually moved the needle

Walk through the changes that mattered: right-sizing, Spot instances for the right workloads, budget guardrails. Be specific about trade-offs and what you deliberately left alone.

A code or config snippet, if useful

resource "aws_autoscaling_policy" "rightsize" {
  name                   = "rightsize-spot"
  policy_type            = "TargetTrackingScaling"
  target_value           = 70
}

The result

Close with the outcome and the lesson. 6% off the annual bill, SLAs intact, and a set of habits the team kept after the engagement ended.

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