ops-capacity-planning

AWS capacity planning captures current utilization baselines across compute, database, storage, and network tiers, then applies linear, seasonal, and business-driven growth models to forecast 6–12 month infrastructure needs. It delivers gap reports and prioritized scaling recommendations with cost impact summaries.

Capacity baselining collects current-state metrics across compute, database, storage, and network tiers using provided templates and AWS CLI examples. This establishes a verifiable baseline for cloud and on-premises environments to support quarterly reviews, pre-launch assessments, and performance investigations.

Yes, this capacity planning workflow supports pre-launch API assessments and budget-driven scaling scenarios across compute and database tiers. It generates implementation checklists, rollback plans, and severity-based action timelines compatible with stakeholder approval processes.

Capacity gap analysis identifies headroom shortfalls by comparing forecasted growth against current provisioning, then outputs prioritized scaling strategies that incorporate autoscaling configurations. This delivers cost impact summaries and implementation checklists to prevent reactive scaling failures and cost surprises.

Quarterly capacity reviews are needed to validate utilization patterns, verify headroom, and adjust forecasting models beyond immediate autoscaling responses. This Skill provides a repeatable, evidence-driven process to assess baselines and provision infrastructure before outages or budget overruns occur.