Performance Capacity Planning

Trigger Boundary

• •Use when latency, throughput, or resource saturation must be measured and improved.
• •Do not use for product roadmap prioritization; use project-estimation or technical-roadmapping.
• •Do not use for compliance control reviews alone; use security-*.

Goal

Improve system performance with measurable and sustainable gains.

Inputs

• •Change scope and risk profile
• •Domain evidence for resource forecasting, headroom policy, and growth scenario readiness
• •Operational, compliance, and rollout constraints

Outputs

• •Capacity planning model and threshold policy
• •Decision log for resource forecasting, headroom policy, and growth scenario readiness
• •Verification checklist with measurable pass-fail criteria

Workflow

1. •Clarify outcomes and hard constraints for resource forecasting, headroom policy, and growth scenario readiness.
2. •Produce options and select an approach for resource forecasting, headroom policy, and growth scenario readiness.
3. •Evaluate trade-offs across security, performance, operability, and maintainability.
4. •Verify decisions using traffic-growth simulation against capacity assumptions.
5. •Publish decisions, residual risks, and accountable follow-up actions.

Quality Gates

• •Scope and assumptions for resource forecasting, headroom policy, and growth scenario readiness are explicit and reviewable.
• •Decision rationale is backed by evidence instead of preference.
• •Rollout and rollback criteria are defined when production impact exists.
• •Residual risks have owners, due dates, and verification steps.

Failure Handling

• •Stop when capacity plan cannot support forecasted demand.
• •Escalate when accepted risk exceeds team policy thresholds.