Dev
Generator für Mock-Feature-Flag-Rollouts
A mock feature flag rollout generator produces example feature-flag configurations as JSON for testing and learning. Feature flags let teams turn features on and off and roll them out gradually without redeploying, and a flag config captures the rollout rules — percentages, targeting, and variations. This tool emits a realistic flag configuration. Click generate and copy it into a test or a tutorial. It is ideal for testing a flag system, documenting a rollout, and learning the structure. The config reflects common patterns — a percentage rollout, attribute targeting to specific user segments, and control versus treatment variations for an experiment. Feature flags are powerful for releasing safely: you can ship to a small percentage, watch for problems, and ramp up or roll back instantly. Adapt the flag key, percentages, and targeting rules to your own system.
How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Click Generate to produce a flag config.
- Copy the JSON into a test or doc.
- Adapt the key, percentage, and targeting.
- Clean up stale flags after full rollout.
Use Cases
- •Testing a feature flag system
- •Documenting a rollout config
- •Learning flag configuration
- •Seeding example flags
- •Demoing gradual rollouts
Tips
- →Roll out gradually by percentage.
- →Target specific user segments.
- →Roll back instantly if needed.
- →Remove stale flags promptly.
FAQ
what are feature flags
Feature flags let teams turn features on or off and roll them out gradually without redeploying. A flag wraps a feature so its visibility is controlled by configuration, enabling safe releases, experiments, and instant rollbacks.
what is a percentage rollout
A percentage rollout exposes a feature to a fraction of users — say 10% — so you can watch for problems before ramping up. If something breaks, you roll back instantly without a deploy. Gradual rollouts make releases far safer.
why clean up old flags
Flags that linger after a feature is fully rolled out add complexity and risk — dead code paths and confusing config. Removing stale flags once a feature is permanent keeps the codebase and flag system clean and maintainable.
What is a canary release?
A canary release rolls a change out to a small subset of users first, watches for errors or regressions, and only then expands to everyone — limiting the blast radius if something is wrong. Feature flags are a common way to implement it. The generator produces rollout configurations with percentages and targeting, so you can test the logic that gradually exposes a feature to more users.
How do I roll back a bad feature flag rollout?
That is the main advantage of flags — you flip the flag off (or drop the rollout percentage to zero) to instantly disable the feature without a redeploy or revert. The generator produces rollout states you can use to test that kill-switch path, confirming your system correctly and quickly stops serving a feature when its flag is turned off mid-rollout.
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