Improve operational visibility for inference workloads on Amazon Bedrock with new CloudWatch metrics for TTFT and Estimated Quota Consumption

This article announces two new CloudWatch metrics for Amazon Bedrock: TimeToFirstToken and EstimatedTPMQuotaUsage, providing server-side visibility into streaming latency and quota consumption for inference workloads.

• TimeToFirstToken measures latency from request receipt to first response token generation for streaming APIs
• EstimatedTPMQuotaUsage tracks tokens-per-minute quota consumed, accounting for burndown multipliers and cache tokens
• Both metrics automatically emitted at no cost with no API changes or opt-in required
• Available in AWS/Bedrock CloudWatch namespace with ModelId dimension filtering
• Supports cross-Region inference profiles for geographic and global configurations
• Enable proactive alarms, SLA baselines, and capacity planning without client-side instrumentation
• Quota formula varies by throughput type: on-demand applies output token burndown; provisioned throughput applies cache weighting

These metrics eliminate the need for custom instrumentation and help teams prevent throttling and performance degradation in production AI workloads.