A Small Dictionary of Cloud Cost Anti-Patterns
A working glossary of the cost anti-patterns we encounter most often on advisory engagements, with concrete refactoring moves.
This is a pragmatic, alphabetised reference of the cloud cost anti-patterns we have seen across recent engagements: idle preview environments, oversized warm pools, fan-out queues left at peak capacity, log streams that never had retention assigned, and a dozen more. Each entry includes the typical signal, why it tends to be missed, and a refactoring move we have actually shipped.
What this briefing actually contains
- Twelve anti-patterns with named symptoms
- A short refactoring move for each
- Rough effort estimates from real engagements
- Notes on which anti-patterns hide in serverless workloads
- A printable one-page summary for platform retros
What you can take into your team
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A shared vocabulary your team can use in cost reviews
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Specific next-step refactors instead of vague concerns
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A reference you can revisit during quarterly architecture reviews
₩2,400,000
The fee covers full access to this briefing, the attached retainer notes, and one follow-up question to the responsible editor. Pricing is informational. Engagements are confirmed in writing during the kickoff conversation.
What we are most often asked about this briefing
Opinionated. Where there is genuine disagreement in the field, the entry says so. We prefer naming the trade-off rather than pretending each anti-pattern has one universal fix.
Reviews — including reservations
Useful as a quick scan. Pinned in our team channel within an hour of getting it.
The fan-out queue entry was eerily specific to a problem we are debugging this week.