Credit Scoring CQRS Deployment Architecture architecture diagram

About This Architecture

Credit scoring CQRS deployment architecture separates read and write operations across OpenShift containers and on-premise IBM ACE12 integration servers. RGO02 Orchestrator routes scoring requests through RGO36 ScoreCrediticio Service to RGO38 OrchestradorScoreCrediticioBD, which coordinates async writes to PostgreSQL and sync reads from an in-memory cache cluster. External credit bureau APIs via GranData Provider feed scoring data into the write pipeline, while read handlers serve cached results for low-latency queries. This hybrid topology isolates stateful write operations in a 100GB PostgreSQL StatefulSet from stateless read replicas, enabling independent scaling and fault isolation. Fork this diagram to customize namespaces, add monitoring sidecars, or adapt the ACE integration layer for your credit risk platform.

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How do you design a CQRS credit scoring system that separates reads and writes across OpenShift and on-premise infrastructure?

This diagram shows a hybrid CQRS pattern where RGO02 Orchestrator routes credit scoring requests through RGO36 ScoreCrediticio Service to RGO38 OrchestradorScoreCrediticioBD, which handles async writes to PostgreSQL and sync reads from an in-memory cache. On-premise IBM ACE12 integration servers connect external credit bureau APIs, enabling scalable, fault-isolated credit risk evaluation.

Credit Scoring CQRS Deployment Architecture

AutoadvancedCQRSOpenShiftcredit-scoringhybrid-architecturePostgreSQLin-memory-cache
Domain: Cloud MultiAudience: Enterprise architects designing CQRS credit scoring systems on OpenShift with hybrid on-premise integration
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Created by

August 11, 2026

Updated

August 12, 2026 at 11:59 AM

Type

deployment

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