BedrockOps
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Product overview

Three pillars, one investigation surface for Amazon Bedrock.

BedrockOps ranks the cause of a Bedrock production failure across runtime, Knowledge Base and deployment signals, and gives Knowledge Base changes a release process with comparison, promotion and rollback.

Start 7-day trial on AWS MarketplaceSee pricing

Trial is $0 for 7 days through AWS Marketplace. Connect with a read-only cross-account IAM role.

The product graph

Each pillar answers a different production question, on the same evidence

CloudWatch generative AI observability supplies Bedrock metrics, traces and token usage. BedrockOps sits above that layer: it attributes the metrics to a caller, correlates them with Knowledge Base and deployment events, and ranks the cause.

PILLAR 01

Cross-pillar root-cause analysis

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.

  • Ranked probable causes with linked evidence
  • Unified incident timeline across signals
  • Cross-signal event linking
  • Full-context incident workspace
Cross-signal Bedrock incident review

PILLAR 02

Knowledge Base operations

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.

  • Ingestion failure intelligence
  • Retrieval configuration validation
  • Retrieval quality tracking over time
  • Tenant isolation checks
  • Candidate versus live KB comparison
  • Audit-logged promotion and rollback
Knowledge Base promotion and rollback workflows

PILLAR 03

Runtime intelligence

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.

  • Quota burn by caller and workload
  • Throttling classification: 429 vs 503, TPM vs RPM pressure
  • Retry amplification detection
  • Connection pool saturation
  • Throttle root-cause classification with per-event runbook guidance
  • Runtime readiness checks
  • Agent tool-use correctness scoring
Bedrock TPM quota burn and 429 throttling analysis

Candidate versus live, before you promote a Knowledge Base

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 comparison

How the product works

Signals in, ranked cause out, a safer release after that

BedrockOps is not a set of isolated dashboards. It reads runtime signals, Knowledge Base behaviour and deployment changes from your account, links them on one timeline, and turns them into ranked cause and release decisions.

  1. Bedrock runtime, Knowledge Base, quota and deployment signals change in your account.
  2. BedrockOps links those signals on one incident timeline.
  3. The most likely causes surface first, each with its evidence attached.
  4. The next Knowledge Base change ships behind a comparison and a rollback path.

What teams get

Built for the questions production teams ask under pressure

Each pillar exists to answer one of these fast, with evidence a platform engineer or AI engineer can act on.

  • Why did Bedrock start throttling, and which caller caused it?
  • Is this a 429 quota problem or a 503 capacity problem?
  • Did a Knowledge Base sync or a retrieval change break answer quality?
  • Is this candidate Knowledge Base safe to promote to production?
  • What changed across runtime, retrieval and deployment before the incident?

Who this is for

Teams already running Amazon Bedrock in production

Platform engineers

Own the runtime

Investigate throttling, quota waste and runtime instability across accounts, and attribute each to the caller behind it.

AI engineers

Own retrieval quality

Debug Knowledge Base ingestion, validate retrieval configuration, and compare a candidate against live before it ships.

Engineering managers

Own the review

Shorten incident time, keep a promotion record with an owner and a timestamp, and give the team one investigation workflow.

Run BedrockOps against your live Bedrock signals

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.

Start 7-day trial on AWS MarketplaceSee pricing