Real-time Incident Triage for Checkout Payment Flows using Amazon Bedrock & OpenSearch
A mid-market e-commerce brand (name withheld) operating multiple storefronts across EU/APAC
On-call teams missed payment-flow anomalies because sales-order data/logs were slow to retrieve and contained sensitive PII. The customer required an **API-only** approach (no shared dashboards) to return order status and incident insights safely
Solution
Ops & security
Amazon CloudWatch metrics/alarms, VPC-only OpenSearch, least-privilege IAM, AWS Secrets Manager, end-to-end encryption
Access
**Amazon API Gateway** (JWT) exposes the API for the customer’s internal UI
Reasoning & summaries
Analyze Lambda uses **Amazon Bedrock (chat + Guardrails)** to classify anomalies, summarize root causes, and return **strict JSON** (no PII)
Semantic indexing
Lambda Embedder generates **Amazon Bedrock Titan** embeddings and bulk indexes into **Amazon OpenSearch (k-NN)
PII-safe ingestion
Lambda Normalizer scrubs tokens/emails/IPs and writes sanitized logs to Amazon S3 (KMS-encrypted; cross-region replication)
Results
Production-ready operations (alerts, structured logs)
Deterministic integration (validated JSON responses)
PII minimized by design (sanitization + guardrails)
Faster triage, fewer misses via a single API in seconds
AWS Services Used
Amazon Bedrock (Chat, Titan Embeddings, Guardrails); Amazon OpenSearch Service; AWS Lambda; Amazon API Gateway; Amazon S3 (CRR); AWS KMS; Amazon CloudWatch; Amazon EventBridge; AWS Secrets Manager; Amazon VPC; (optional) Amazon Cognito/OIDC