ACCELERATOR · BLUEPRINTS

Event-Driven Architecture

Decouple your services through events and build systems that react to change rather than poll for it.

The Event-Driven Architecture blueprint defines the patterns, infrastructure and operational practices needed to build reliable asynchronous systems in financial services. It covers event broker topology, schema governance, ordering guarantees, idempotency strategies and dead-letter handling, addressing the failure modes that cause silent data loss in production event-driven systems.

provenAvailable

Key Features

Event Broker Topology Design

Reference architecture for Kafka or Pub/Sub cluster design, including topic partitioning strategies, replication factors and consumer group patterns optimised for financial transaction throughput.

Schema Governance and Evolution

Schema registry integration with compatibility rules (backward, forward, full) that prevent breaking changes while allowing event schemas to evolve with the business domain.

Exactly-Once and Idempotency Patterns

Implementation patterns for idempotent consumers, transactional outbox and deduplication strategies that prevent duplicate processing in payment and settlement workflows.

Dead-Letter and Retry Strategy

Graduated retry policies with exponential backoff, dead-letter topic routing and alerting that ensure no event is silently dropped: critical for regulatory audit trails in financial systems.

Use Cases

Real-Time Payment Event Processing

Payments

Processing inbound and outbound payment instruction events with ordering guarantees, enabling real-time balance updates and downstream notification without synchronous coupling.

Transaction Monitoring Event Pipeline

Financial Crime

Streaming customer transactions through rule engines and ML models for AML detection, with guaranteed delivery and full lineage for regulatory examination.

Credit Decision Event Choreography

Lending

Choreographing the flow of a credit application through eligibility, affordability, scoring and fulfilment stages using domain events rather than orchestrated API calls.

Technical Stack

Apache Kafka / Confluent PlatformGoogle Pub/SubSchema Registry (Avro / Protobuf)Kotlin / Java (Spring Cloud Stream)KubernetesOpenTelemetry

Deliverables

  • →
    Event-Driven Architecture Reference Document(Architecture document)
  • →
    Event Schema Catalogue and Governance Policy(Technical specification)
  • →
    Failure Mode and Recovery Runbook(Runbook)
  • →
    Broker Infrastructure-as-Code(Code repository)

Expected Programme Outcomes

Time

8–12 weeks

saved on event infrastructure setup

Risk & Compliance

88%+

messaging pattern consistency

Cost

5–7 months

of messaging rework avoided

Quality

Zero drift

across all event-producing teams

Prerequisites

  • →Bounded contexts and domain events identified (see Domain-Driven Design blueprint)
  • →Cloud infrastructure foundation in place
  • →Clarity on ordering and delivery guarantee requirements per event type

Proven in

Case studies that used this accelerator.

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