Db Physical Design

Trigger Boundary

• •Use when schema, indexing, transaction, migration, or durability behavior is in scope.
• •Do not use for HTTP/API boundary design; use api-*.
• •Do not use for cluster provisioning details; use infrastructure-as-code or kubernetes-*.

Goal

Ensure data correctness, performance, and lifecycle reliability.

Inputs

• •Change scope and risk profile
• •Domain evidence for storage layout, partitioning, and engine-specific performance controls
• •Operational, compliance, and rollout constraints

Outputs

• •Physical storage design specification
• •Decision log for storage layout, partitioning, and engine-specific performance controls
• •Verification checklist with measurable pass-fail criteria

Workflow

1. •Clarify outcomes and hard constraints for storage layout, partitioning, and engine-specific performance controls.
2. •Produce options and select an approach for storage layout, partitioning, and engine-specific performance controls.
3. •Evaluate trade-offs across security, performance, operability, and maintainability.
4. •Verify decisions using I/O and storage footprint profiling under target workloads.
5. •Publish decisions, residual risks, and accountable follow-up actions.

Quality Gates

• •Scope and assumptions for storage layout, partitioning, and engine-specific performance controls 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 storage layout cannot sustain expected load or growth.
• •Escalate when accepted risk exceeds team policy thresholds.