Effortless Feature management and Integration
Use Cases and Deployment Scope
We use LaunchDarkly for shadow launching of features that enables us in early bug detection, load testing, boosting customer satisfaction and improves preparedness of our launches to production. It helps us in having smooth releases without sharing features with end users prematurely. It also helps us in faster recovery in cases of any release hiccups by allowing to turn of feature flags as necessary.
Pros
- Ease of set up in any techstack the web application might be in.
- Sample usecases defining payload definitions for widely used scenarios
- Granularity of the feature flag access
- Inbuilt AI capabilities that recommends payloads of feature flags based on the given scenario.
Cons
- AI assistance for script or feature flag recommendation based on the application we are trying to integrate it with.
Return on Investment
- Time and effort saved - when there are some issues during launches / releases
- Load and performance tests can be done in actual environments with feature rolledout to service accounts but not to the end users.
Usability
Other Software Used
GitHub Copilot, Atlassian Confluence, AWS IoT Core
