Staged Service Release Mechanism for Server Risk Control
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Solution Overview
Problem
Current methods for releasing new services on a server in stages face challenges of high risk and inefficiency, as they either expose a large number of users to potential issues or take too long to migrate all users to the new service.
Innovation Solution
A method and apparatus that control the number of accounts and access rate to the new service, allowing gradual release and feedback-driven adjustments to ensure smooth transition and risk management, with modules for setting initial and maximum access rates and account numbers, and stopping service release upon errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the new service is released to all users at once, then the release efficiency is high, but the risk of service failure affecting large number of users is high
Solution Approach 1:
The patent segments the user base into multiple user groups and releases the new service to these groups in sequential stages. Each stage involves a subset of users, allowing the system to contain potential failures within limited groups while progressively expanding coverage. This segmentation resolves the contradiction by enabling controlled rollout that balances efficiency with risk containment.
Solution Approach 2:
The patent implements dynamic control over service release by allowing the system to adjust release parameters in real-time based on monitoring feedback. The release process transitions from static (all-or-nothing) to dynamic (adaptive, feedback-driven), enabling the system to respond to service health status and adjust deployment speed accordingly, thus balancing efficiency and reliability.
2Reliability
If the new service is released to a small number of users first, then the risk is reduced, but the time required to release to all users increases
Solution Approach 1:
The patent incorporates feedback mechanisms that monitor service performance and user response during each release stage. This feedback information is used to determine whether to proceed to the next stage, adjust release parameters, or roll back changes. The feedback-driven approach optimizes the balance between risk reduction and time consumption by enabling adaptive progression through release stages.
Solution Approach 2:
The patent changes key parameters such as the number of user groups included, the proportion of users affected, and the timing between stages based on service health metrics. By dynamically adjusting these parameters, the system can accelerate release when conditions permit while maintaining safety thresholds, thus optimizing the trade-off between risk reduction and time requirements.
3Loss of time
If the number of user units is large in stage release, then the release time is reduced, but the risk control is insufficient
Solution Approach 1:
The patent divides the user population into multiple segments or groups that can be independently managed during the release process. Even when the total number of user units is large, the segmentation allows the system to treat each group as a manageable unit, applying risk control measures to each segment while maintaining overall release efficiency through parallel processing of multiple segments.
Solution Approach 2:
The patent implements protective measures in advance by establishing monitoring systems, rollback mechanisms, and safety thresholds before each release stage. These preemptive cushioning measures ensure that even when large numbers of users are involved, potential failures are detected and contained before they can cause widespread damage, thus maintaining risk control at scale.
Data Source
AI summary
A method and apparatus for releasing services on a server in stages is provided, the method comprising setting a number of accounts that can access a new service and releasing the new service to the accounts in a first time period; setting an access rate for the new service and releasing the new service in accordance with the access rate in a second time period; and releasing the new service to the entire server in a third time period. In accordance with the method and apparatus for releasing services on a server in stages in this embodiment, new service can be released in different ways to suit different situations, which reduces the risk in releasing the new service, and improves efficiency.