Deployment Frequency Improvement Playbook

Increasing deployment frequency without inflating change failure rate depends on architectural, procedural, and tooling levers. We emphasize: small batch sizing, ephemeral preview environments, progressive delivery (feature flags + canaries), automated test contour hardening, and trunk-based branching discipline.

A weekly release operations review inspects latency outliers, rollback root causes, and queue aging. Velocity experiments are framed as reversible bets with explicit success criteria. Combined, these practices create sustained acceleration rather than a temporary spike.