Production Monitoring System Architecture
Okareo's real-time monitoring is designed with a three-tier architecture: 1) the agent layer collects inference requests through globally deployed endpoints with an average latency of <50ms; 2) the analyzer layer uses a time-series database to detect anomalous patterns, such as a sudden increase in response time or fluctuations in error rate; and 3) the alerting layer supports multichannel notifications such as Slack/email, and can be configured to have hierarchical alerting policies. Typical cases include: a financial client discovered a 0.3% deviation in GPT-4's interest rate calculation through monitoring, and completed the hot fix before affecting users. The system throughput supports processing 100,000 level requests per second.
This answer comes from the articleOkareo: a tool for model testing and error monitoring for AI developersThe
