Composable, low-overhead retry policies with pluggable classification, per-class backoff strategies, and structured observability hooks. Designed for services that need predictable retry behavior and clean integration with metrics/logging.

A simple app highlighting how we can implement retry mechanism using Resilience4j in Spring Boot

Built a Resilient Message Handler leveraging RabbitMQ and the Outbox–Inbox pattern to achieve fault tolerance and guaranteed delivery. The system follows RMHA principles, implementing retry logic, dead-letter queues, and idempotent message consumption for reliable inter-service communication.

🔄 Implement flexible retry policies with pluggable classification and backoff strategies for reliable service behavior and seamless observability.