Dante — Pemimpin Teknologi Skill AI

$# Architectural Decision Record: Adoption of Message Queue for Order Pipeline ## Context Our current order processing pipeline handles incoming orders synchronously, which can lead to bottlenecks during peak traffic, increased latency, and reduced system resilience. We are considering adopting a message queue to decouple components, improve scalability, and enhance fault tolerance. ## Decision We will adopt a message queue system (e.g., RabbitMQ, Apache Kafka) for our order pipeline to handle order processing asynchronously. ## Rationale - **Scalability:** Message queues allow us to scale order processing consumers independently from order producers. - **Resilience:** Decoupling components reduces the risk of system-wide failures; if one component is down, messages can be queued and processed later. - **Performance:** Asynchronous processing can reduce latency perceived by users during order submission. - **Flexibility:** Enables easier integration with other services and future extensions like analytics or notifications. - **Reliability:** Message queues provide delivery guarantees (e.g., at-least-once delivery) that improve data integrity. ## Consequences - **Increased complexity:** Introducing a message queue adds operational overhead and requires monitoring and maintenance. - **Eventual consistency:** Some parts of the system will operate asynchronously, which may require handling eventual consistency scenarios. - **Learning curve:** Development and operations teams will need to learn and adapt to the new technology. - **Infrastructure cost:** Additional resources and infrastructure will be needed to support the message queue system. ## Alternatives Considered - **Synchronous processing:** Current approach, simpler but less scalable and resilient. - **Batch processing:** Could reduce load but increases latency and complexity in handling real-time orders. ## Status Approved for implementation in the next development cycle.