To reduce risk and gather feedback by incrementally exposing new functionality to users.

To describe a gradual, metrics‑driven release strategy for software features.

When releasing new features that may affect system stability, performance, or user experience, especially in high‑traffic or safety‑critical systems.

Used in software engineering, DevOps, release engineering, and product releases that employ feature flags, canary releases, or incremental rollouts.

Gradual rollout of features to increasing user segments using feature flags or traffic splitting.

Incremental exposure of new functionality to subsets of users or infrastructure, guided by metrics and feedback loops.

[feature flag], [percentage of users], [metrics]

• feature flag
• canary release
• dark launch
• blue‑green deployment
• incremental rollout
• traffic splitting
• observability
• feedback loop

• canary release
• feature flagging
• dark launch
• blue‑green deployment

Confusing progressive delivery with simple feature flags; neglecting observability; increasing rollout too quickly without metrics.

blue‑green deployment (instant switch), canary release (small subset), feature flagging (toggle), dark launch (unannounced feature)

May be confused with mere feature toggling; progressive delivery emphasizes gradual exposure and data‑driven decisions.

• release strategies
• deployment strategies
• feature flags
• canary release
• blue‑green deployment
• dark launch

Emphasizes gradual exposure coupled with observability and feedback loops, not just toggling features.

Communicates a risk‑aware, data‑driven release strategy that balances speed and safety.

Think of rolling out a new feature to 5% of users, then 20%, then 50%, then everyone.

Requires strong observability and automated rollback to safely adjust rollout percentages based on real‑time metrics.

Advanced delivery strategies incorporating experimentation and automated rollback, e.g., progressive delivery with A/B testing and automated rollback.