release strategies

[shane0]

release strategies

Strategy	Description	Risk Percentage (Ranked by Lowest Risk)
Blue-Green Deployment	Two environments (Blue and Green) are used; one for live traffic and the other for testing the new version.	10% (Lowest Risk)
Canary Release	A small subset of users gets the new version first, helping identify issues before full-scale release.	15%
Rolling Release	Continuous delivery of new features and updates, often used in open-source projects. No distinct versions.	20%
Feature Toggles	New features are deployed but hidden behind feature flags, enabling gradual rollout.	25%
A/B Testing	Two versions (A and B) are deployed to different user groups to test which one performs better.	30%
Shadow Deployment	A new version is deployed alongside the old one but does not serve live traffic. It tests under real conditions.	35%
Trunk-Based Development	Developers commit directly to a single trunk or mainline, frequently integrating changes into the release pipeline.	40%
Time-Driven Release	Releases occur at fixed intervals (e.g., every month or quarter), regardless of the features completed.	45%
Feature Branching	New features are developed in separate branches, and only merged when stable.	50%
Hotfix Release	Quick patches for critical bugs are deployed without waiting for the next major release cycle.	60% (Highest Risk)

[shane0]

risk

• Blue-Green Deployment is ranked with the lowest risk because it uses separate environments for the current and new version, allowing for a seamless rollback.
• Hotfix Release is typically the highest risk due to the urgent nature of the release and potential for overlooking thorough testing in favor of speed.