event-driven-architecture

Review event-driven architectures for design flaws, consistency, and operational risks.

7|Updated Mar 19, 2026

Search Tags:#architecture #event-driven #kafka #saga #cqrs #event-sourcing #message-brokers

Ready to run

npx skills add https://github.com/camilooscargbaptista/cto-toolkit --skill event-driven-architecture-camilooscargbaptista

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: event-driven-architecture
Source: https://github.com/camilooscargbaptista/cto-toolkit/tree/main/event-driven-architecture
Command: npx skills add https://github.com/camilooscargbaptista/cto-toolkit --skill event-driven-architecture-camilooscargbaptista

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps architects and engineering leaders assess and harden event-driven systems by surfacing design mistakes, consistency gaps, and operational risks that lead to data loss, outages, or unbounded replay complexity.

Core Features & Use Cases

Event Sourcing review: Verify immutable event design, snapshot strategy, schema versioning, and projection rebuildability.
CQRS validation: Confirm separation of write/read models, eventual consistency SLAs, and read-model rebuild strategies.
Saga and orchestration checks: Evaluate choreography vs orchestration trade-offs, compensating actions, timeouts, and dead-letter handling.
Message broker guidance: Assess partitioning, ordering guarantees, retention, exactly-once vs at-least-once strategies, and schema registry usage.
Operational readiness: Recommend observability, correlation IDs, replay procedures, idempotency approaches, and monitoring/alerting practices.

Quick Start

Ask the skill to review the project's eventing architecture and provide an assessment of event design, consistency boundaries, broker configuration, saga fault handling, and operational runbooks.

Frequently Asked Questions about event-driven-architecture

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I review an event-driven architecture for consistency and operational risks?▼

To review an event-driven architecture, evaluate event schemas, partitioning, idempotency, and transactional outbox patterns to surface design flaws and consistency gaps that risk data loss or outages.

What is the best way to handle saga compensations and dead-letter queues in eventually-consistent systems?▼

Handling saga compensations requires evaluating choreography versus orchestration trade-offs, verifying compensating actions, timeouts, and ensuring proper dead-letter handling for operational recovery.

How does event sourcing validation check projection rebuildability and schema versioning?▼

Event sourcing validation verifies immutable event design, snapshot strategy, and schema versioning to ensure projection rebuildability and prevent unbounded replay complexity in high-throughput domains.

Can I use this approach to assess Kafka, RabbitMQ, and SQS/SNS message broker configurations?▼

Yes, you can assess message broker configurations for Kafka, RabbitMQ, and SQS/SNS by reviewing partitioning, ordering guarantees, retention, and exactly-once versus at-least-once delivery strategies.

Why does CQRS validation require separation of write and read models with eventual consistency SLAs?▼

CQRS validation requires separating write and read models to confirm eventual consistency SLAs and verify read-model rebuild strategies, ensuring resilient event-driven system operations.

What operational observability do I need for monitoring event-driven systems and replay procedures?▼

Monitoring event-driven systems requires implementing observability, correlation IDs, replay procedures, and alerting practices to maintain operational readiness and handle recovery effectively.