Client's AWS bill at launch: $400/month
Three months later: $800/month
Three months after that: $1,600/month
Their user count had doubled. Their infrastructure costs had quadrupled.
Nobody had optimized anything.
→ Oversized instances running at 10% CPU → No auto-scaling so they just added more servers → Uncompressed assets eating bandwidth → Logging everything to expensive storage they never looked at → Old snapshots nobody cleaned up → Dev and staging environments the same size as production
We ran a performance audit. Found $600/month in immediate savings without affecting performance:
→ Right-sized instances: $200/mo saved → Implemented auto-scaling: $150/mo saved → Compressed assets: $100/mo saved → Cleaned up logs and snapshots: $100/mo saved → Downsized dev/staging: $50/mo saved
That's $7,200/year back in the budget from an afternoon of optimization.
The pattern I see constantly:
Launch with default settings. Add capacity when things slow down. Never optimize. Costs spiral.
Infrastructure costs should grow linearly with users, not exponentially.
If you're doubling your infrastructure bill every quarter but your users are only growing 30%, something's wrong.
The optimization checklist:
→ Right-size your instances - most run way under capacity → Enable auto-scaling - scale with demand, not ahead of it → Use a CDN - serve static assets from the edge → Compress everything - images, CSS, JS, API responses → Review your logs - you don't need to store everything forever → Audit regularly - infrastructure bloat happens gradually
The best part? Most of these optimizations also make your app faster. Users get a better experience and you spend less money.
When's the last time you audited your infrastructure costs? What did you find?
#CloudComputing #AWS #CostOptimization #TechDebt #Infrastructure #StartupLessons
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Philip Rehberger Founder, ScopeForged scopeforged.com
