PREDICTABLE DISTRIBUTION OF PROGRAM INSTRUCTIONS

Issues may arise when customers that are highly engaged with application services do not receive reliable feature updates on a predictable schedule. For instance, releasing and updating features may burden cloud infrastructure and/or may not perform properly. Not only are unpredictable feature updates associated with inconsistent customer messaging and potential service disruptions, such unpredictable updates may cause a random end user experience and customer dissatisfaction with the product. The methods and systems address these issues by dynamically ranking tenants and distributing updates and releases to tenants with lower feature usage before distributing to tenants with higher feature usage. The ranking of the tenants may dynamically change based on current usage. In this way, higher ranked tenants receive access to new and updated features after additional regression testing. This quality-driven, phased release of features enables load level management of computing resources as well as a predictable feature experience for end users.