Portkey has achieved breakthrough innovation in the field of AI service scheduling. Its load balancing system adopts a dynamic weight distribution algorithm, which will monitor the response latency, error rate and quota margin of each model node in real time. The technical implementation contains three key modules: a traffic distributor that automatically adjusts the ratio of request distribution based on model performance indicators; a health checker that probes the node status every 5 seconds; and a failover engine that immediately enables a backup channel in the event of a timeout or API error.
Actual test data show that the mechanism can shorten the service interruption time to within 500 milliseconds, and increase the system throughput by 3 times under the same hardware conditions. The case of an e-commerce customer shows that during last year's Double 11 promotion, its intelligent customer service system carried a peak query volume of 1,200 times per second through Portkey, with zero downtime throughout. This stability is mainly due to the platform's intelligent scheduling capability of multi-cloud model resources, which is a technical advantage that is difficult to realize for self-built systems.
This answer comes from the articlePortkey: a development tool for connecting multiple AI models and managing applicationsThe
