Operational intelligence for Amazon Bedrock
CloudWatch tells you that Bedrock throttled. BedrockOps ranks why: which caller burned the TPM quota, which retry loop amplified the 429s, and which Knowledge Base change landed four hours earlier.
Trial is $0 for 7 days through AWS Marketplace. Connect with a read-only cross-account IAM role.
Ranked cause across runtime, KB and deploys
Read-only IAM role, no in-path proxy
Customer data stays in Europe today
Trial and billing through AWS Marketplace
Retry storm from order-service amplifying 429s
TPM pressure on claude-3-5-sonnet, eu-central-1
Knowledge Base rerank config promoted 4h earlier
The product
CloudWatch now ships native Bedrock metrics, including EstimatedTPMQuotaUsage and TimeToFirstToken, plus tracing and token usage. BedrockOps sits above that layer. It attributes those metrics to a caller, correlates them with Knowledge Base and deployment events, and ranks the cause.
PILLAR 01
Correlates runtime failures, Knowledge Base events, prompt changes, model changes and deployments into one ranked cause list with evidence. It answers why the incident happened, not just what the metric did.
PILLAR 02
Release management for RAG, not monitoring. Compare a candidate Knowledge Base against the live one, promote it with an audit log, and roll back when retrieval quality drops. Ingestion and retrieval intelligence sits underneath.
PILLAR 03
The layer above CloudWatch metrics. Quota burn attributed to a caller and a workload, throttling classified by type, and retry storms named before they take the workload down.
AWS gives you a Knowledge Base and a sync API. It does not give you a release process. BedrockOps runs the candidate and the live Knowledge Base against the same probe set, records who promoted what and when, and keeps the rollback path open.
Knowledge Base promotion and candidate comparisonUse cases
Every answer opens the same investigation surface. Pick the one that matches the error in front of you right now.
Requests are failing and nobody can tell whether it is TPM pressure, RPM pressure, a retry storm, or AWS-side capacity.
Ingestion jobs fail, answers get worse, or reranking and metadata filters behave differently than they did last week.
A chunking, embedding or rerank change looks fine in a notebook, and nobody wants to promote it to production on that evidence.
The incident spans runtime throttling, retrieval quality and a deployment, and the review needs one timeline instead of four consoles.
Trust model
BedrockOps is delivered entirely on AWS. Onboarding is a read-only cross-account IAM role. Live traffic is never rerouted, so the security review is about read access, not about a new dependency in the request path.
The whole product runs on AWS-native infrastructure.
Cross-account role onboarding with no write permissions.
Live Bedrock traffic is never routed through BedrockOps.
Broader regional coverage comes in later versions.
Pricing
Start on a 7-day trial. Move to Production when the team is ready. Billing scales with AWS accounts and Knowledge Bases, not with telemetry volume.
Connect one account and see the product against live Bedrock signals.
For teams running Bedrock across multiple workloads.
Larger footprints, longer retention, stronger security and commercial requirements.
Billing controls. Customer-set monthly spend cap, an in-app spend projection at 50%, an email warning to admins at 80%, and protected mode at 100%.
AWS Marketplace
AWS Marketplace is the only payment path. There is no direct web checkout, so spend runs against the existing AWS bill.
Start the 7-day trial from the BedrockOps listing in AWS Marketplace.
Create a read-only cross-account IAM role. No proxy, no traffic reroute.
Bedrock runtime, Knowledge Base, quota and deployment signals start arriving.
Move to Production in AWS Marketplace when the trial ends.
FAQ
Start the trial in AWS Marketplace, connect one AWS account with a read-only role, and get ranked causes against real runtime and Knowledge Base data.