Real-time cost tracking, latency monitoring, throttle prediction, and automated savings recommendations. The Datadog for AWS Bedrock.
Estimate your monthly spend and see exactly how much Batch API and prompt caching would save you.
Native AWS integration that goes deeper than any proxy-based tool. See what CloudWatch can't show you.
Know exactly what each API call costs. Tag by team, feature, or customer. Cache savings tracking included.
Monitor EstimatedTPMQuotaUsage in real-time. Get alerts before you hit rate limits. Auto-route to other regions.
P50, P95, P99 latency dashboards per model and region. Time-to-First-Token tracking for streaming.
Cost spikes, latency degradation, throttle rates, error surges. Slack, email, PagerDuty notifications.
Prompt caching opportunities, batch API candidates, model downgrade suggestions, PT break-even calculator.
Cross-region quota tracking, latency-based routing, regional cost comparison. Works across AWS accounts.
For individual developers
For teams shipping AI products
For organizations at scale
One-line patch for boto3 or Go SDK
import bedrockops bo = bedrockops.Client( api_key="bo_..." ) bo.patch_boto3()
Read CloudWatch + S3 logs directly
{
"Effect": "Allow",
"Action": [
"cloudwatch:Get*",
"logs:FilterLog*",
"s3:GetObject"
],
"Resource": "*"
}Point your endpoint to us
BEDROCK_ENDPOINT= https://proxy.bedrockops.com # All calls tracked # automatically with # zero code changes