Real-time cost tracking, latency monitoring, throttle prediction, and automated savings recommendations. The Datadog for AWS Bedrock.
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