[DL.ADS.4] Implement Incremental Feature Release Techniques - DevOps Guidance

[DL.ADS.4] Implement Incremental Feature Release Techniques

Category: RECOMMENDED

Incremental feature releases gradually roll out new features to users, reducing risk and maintaining system stability. Techniques include dark launching, two-phase deployments, feature flags, and canary releases. These techniques enable safe, controlled, and iterative changes to distributed systems which reduces risk associated with concurrent updates and maintaining system stability.

Dark launches allow teams to integrate and test new features in a live environment, without needing to make them visible to the entire user base. This approach allows for monitoring and analyzing the impact and performance of new features under real-world conditions, while mitigating the risk of widespread disruptions. Depending on system implementation and team preferences, dark launches can be implemented using versioning, A/B testing, canary releases, or most commonly, using feature flags.

Feature flags allow developers to turn on or off certain features in their code base without affecting other functionality. This allows for testing of new features with a subset of users, limiting potential negative impacts. Feature flags provide an additional layer of control over the feature rollout process and can be used for A/B testing, canary releases, and dark launches.

Two-phase deployments complement dark launching, focusing primarily on managing read and write changes in a systematic and phased manner. Changes should first be prepared to handle a new update without actively implementing it (Prepare phase), followed by a second deployment that activates the new changes (Activate phase). This approach requires careful planning and coordination, but pays off by prioritizing data integrity and preventing stale records that could emerge from concurrent changes.

The specific choice of technique, be it dark launching, two-phase deployments, feature flags, canary releases, or a combination, depends on your unique needs, the nature of the changes, the complexity of the system, and the degree of control required over the release process. Each of these methods offers its own advantages, and their strategic implementation can significantly enhance the resilience and efficiency of your deployments.

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