Vibecosystem cost-optimization-patterns
Cloud cost optimization, token/API cost tracking, build time optimization, and FinOps patterns
install
source · Clone the upstream repo
git clone https://github.com/vibeeval/vibecosystem
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/vibeeval/vibecosystem "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/cost-optimization-patterns" ~/.claude/skills/vibeeval-vibecosystem-cost-optimization-patterns && rm -rf "$T"
manifest:
skills/cost-optimization-patterns/SKILL.mdsource content
Cost Optimization Patterns
Cloud Cost Optimization
Right-Sizing
# AWS - Compute Optimizer önerileri aws compute-optimizer get-ec2-instance-recommendations # CPU/Memory utilization < 20% → downsize # CPU/Memory utilization > 80% → upsize veya auto-scale
Instance Strategy
| Strateji | Tasarruf | Risk | Use Case |
|---|---|---|---|
| On-Demand | 0% | Düşük | Değişken workload |
| Reserved (1yr) | %30-40 | Orta | Steady-state |
| Reserved (3yr) | %50-60 | Yüksek | Uzun vadeli |
| Spot/Preemptible | %60-90 | Yüksek | Batch, CI/CD |
| Savings Plans | %30-50 | Düşük | Flexible commitment |
Serverless Cost
Lambda cost = (requests × $0.20/1M) + (GB-seconds × $0.0000166) Optimizasyon: 1. Memory right-sizing (power tuning) 2. Provisioned concurrency (cold start vs cost tradeoff) 3. ARM architecture (%20 ucuz) 4. Batch processing (SQS batch size)
LLM/API Token Cost
// Token maliyet takibi const MODEL_COSTS = { 'claude-opus-4-6': { input: 15.0, output: 75.0 }, // per 1M tokens 'claude-sonnet-4-6': { input: 3.0, output: 15.0 }, 'claude-haiku-4-5': { input: 0.80, output: 4.0 } } as const function estimateCost(model: string, inputTokens: number, outputTokens: number) { const costs = MODEL_COSTS[model] return (inputTokens * costs.input + outputTokens * costs.output) / 1_000_000 }
Build Time Optimization
| Teknik | Tasarruf | Karmaşıklık |
|---|---|---|
| Dependency caching | %30-50 | Düşük |
| Parallel test execution | %40-60 | Düşük |
| Incremental builds | %50-70 | Orta |
| Docker layer caching | %20-40 | Düşük |
| Affected-only (monorepo) | %60-80 | Orta |
Database Cost
-- Pahalı query'leri bul SELECT query, calls, mean_exec_time, total_exec_time FROM pg_stat_statements ORDER BY total_exec_time DESC LIMIT 20; -- Unused index'leri bul (gereksiz storage + write overhead) SELECT indexrelname, idx_scan FROM pg_stat_user_indexes WHERE idx_scan = 0 AND indexrelname NOT LIKE '%pkey%';
Checklist
- Cloud cost alerting aktif (budget alarm)
- Unused resources temizlenmiş
- Right-sizing review (aylık)
- Reserved/Spot instance kullanımı
- CDN cache hit ratio >90%
- Database query optimization
- Build cache aktif
- Tag-based cost allocation
Anti-Patterns
- Over-provisioned "just in case" resources
- Unused EBS volumes, idle load balancers
- Data transfer between regions (pahalı)
- CloudWatch log retention unlimited
- Her environment production-grade