#metrics

機械支援の翻訳下書き (Japanese) for "Telemetry": Automated collection and transmission of data about a system's performance, usage, and health to a remote monitoring service. Software telemetry typically includes metrics (CPU, latency), events (errors, deployments), and logs — giving operators a live picture of system behavior at scale.

“例文の下書き: The telemetry data showed a spike in error rates 10 minutes before the outage was reported.”

機械支援の翻訳下書き (Japanese) for "Throughput": The amount of work a system can process in a given time period. In APIs it's usually measured in requests per second; in AI inference it's tokens per second. Throughput and latency are related but distinct — a system can have high throughput while still having high latency for individual requests.

“例文の下書き: The inference cluster achieved 10,000 tokens per second throughput across all concurrent users.”