如何构建有韧性的 AI 驱动软件,并为故障做好准备
Sam Newman 在《Building Resilient Distributed Systems》中给出 AI 时代系统韧性方案:用 RPO 和 RTO 量化灾备目标,并采用备份恢复、pilot light、warm failover、多站点 active-active 等模式。针对 AI 驱动软件,他建议多模型、多供应商、成本透明并定期评估供应商,同时关注模型变更带来的可观测性挑战。
isions. It can also help you spot egregious overspend. Uber recently revealed that it had burned through its entire annual AI budget in just the first four months of the year, and Microsoft announced it was pulling Claude licenses from its employees, due in part to cost, apparently.5 These stories might cause one or two raised eyebrows, but they pale in comparison to the recent (admittedly unsubstantiated) report from Axios that an unnamed enterprise company spent $500 million on Claude licenses
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