Improve operational visibility for inference workloads on Amazon Bedrock with new CloudWatch metrics for TTFT and Estimated Quota Consumption
Amazon AWS AI Blog / 3/13/2026
📰 NewsDeveloper Stack & InfrastructureTools & Practical Usage
Key Points
- The article announces two new Amazon CloudWatch metrics for Amazon Bedrock: TimeToFirstToken (TTFT) and EstimatedTPMQuotaUsage, aimed at improving operational visibility for inference workloads.
- TimeToFirstToken measures the latency until the first token is produced, while EstimatedTPMQuotaUsage estimates TPM quota consumption during inference workloads.
- It provides guidance on how to set alarms, establish baselines, and proactively manage capacity using these metrics to prevent throttling and capacity issues.
- The post emphasizes best practices for monitoring Bedrock inference deployments to enhance reliability and capacity planning.
Today, we’re announcing two new Amazon CloudWatch metrics for Amazon Bedrock, TimeToFirstToken and EstimatedTPMQuotaUsage. In this post, we cover how these work and how to set alarms, establish baselines, and proactively manage capacity using them.
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