DevOps

capacity-and-cost-engineering

Provides a platform-agnostic method for modeling capacity, infrastructure unit cost, budget controls, load-test evidence, multi-tenant demand, and SLO-cost tradeoffs.

★ 88 GitHub Stars
94 品質スコア
12 ファイル

このSkillについて

Model technical capacity, unit cost, and budget constraints connected to demand, performance, and reliability decisions. Use when projecting capacity from growth forecasts, sizing for peak events, designing cost-aware scaling policies, defining budget thresholds or quota/rate-limit enforcement, running or planning load/soak tests as capacity evidence, resolving SLO-cost tradeoffs, or modeling multi-tenant demand distributions, hot-tenant skew, pooled or siloed headroom, fairness evidence, and tenant-variable unit cost. Do NOT use for financial P&L statements, fundraising scenarios, or SaaS metrics (route to financial-modeling); for infrastructure implementation or cloud-resource provisioning (route to platform-engineering); or for generic cloud-cost tips and universal utilization targets — this skill does not prescribe fixed savings rates or one-size-fits-all thresholds.

利用例

  • Projecting capacity from growth forecasts
  • Sizing systems for peak events
  • Calculating infrastructure unit cost
  • Defining budget, quota, and rate-limit controls
  • Evaluating SLO and cost tradeoffs

特徴

  • Capacity models linking demand, resources, utilization, and scaling triggers
  • Unit-cost calculations with allocation methods and SLO comparisons
  • Budget, quota, and rate-limit decision templates
  • Load and soak test planning with evidence requirements
  • Multi-tenant capacity, skew, fairness, and tenant-cost modeling

対応Agent

指定なし

Skillファイル

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