Capacity Planning Toolkit

Capacity Planning Toolkit Stop guessing when to scale. This toolkit gives you battle-tested load forecasting models, resource utilization dashboards, and scaling decision frameworks used by SRE teams at scale. Whether you're planning for traffic spikes, rightsizing Kubernetes clusters, or building your first capacity review process, these templates turn capacity planning from art into engineering. Key Features Linear regression forecaster — Python script that fits historical metric data and projects resource needs 7/30/90 days out Prometheus recording rules — Pre-built rules for CPU, memory, disk, and network utilization aggregation Scaling decision matrix — YAML-based framework that maps utilization thresholds to scaling actions (vertical, horizontal, architectural) Capacity review templates — Markdown templates for weekly and quarterly capacity reviews with stakeholder sections Grafana dashboard JSON — Import-ready panels for utilization trends, headroom tracking, and forecast overla