Solayer's governance framework actually addresses a core issue: system instability caused by frequent parameter adjustments. Many teams like to frequently tweak parameters, thinking this will optimize performance, but instead, it puts the entire system into an oscillatory state. The key point is that they constrain the pace of parameter changes using a 'weekly half-life', forcing the system to have enough time to converge to a stable state.
The specific approach is very clear:
1) Every parameter change must provide snapshots of five key indicators to prove that the adjustment is indeed effective;
2) Parameter adjustments are implemented gradually over a 7-day half-life to avoid sudden changes;
3) A gray release mechanism is adopted, starting with 10% of traffic to gradually validate. This method transforms governance from subjective decision-making into a verifiable process.
The most practical part is that they directly wrote the compensation mechanism into the smart contract. When system performance does not meet standards, it automatically triggers the compensation process, and the responsible party is directly fined. This is much more efficient than meetings and disputes. The core of governance is not to pursue the highest performance, but to ensure the system operates stably within a predictable range.
The approach of @Solayer is worth learning from, especially for those systems that need to handle high-frequency trading or cross-domain settlement. Certainty is more important than peak performance because what the business side needs is predictable results, not an inconsistent 'lottery-style' service. #BuiltonSolayer $LAYER
