Effective release management is essential for deploying software safely at scale, focusing on understanding what and when releases occur to facilitate issue diagnosis and metric analysis. Best practices include documenting releases, communicating updates, staging rollouts to mitigate risks, and ensuring robust monitoring and automation throughout the process. Statsig enhances these principles with feature gating and experimentation tools, allowing for decoupled release cycles and using audit logs, Slack integrations, and automated metric monitoring to manage feature rollouts effectively. This approach not only helps in identifying regressions or improvements promptly but also in ensuring a reliable software release cycle, supported by insights from industry experts on building a strong experimentation culture and learning from A/B testing failures.