🚀 Are you retrying messages directly from the original Kafka topic? BIG MISTAKE! This can block newer messages, creating latency, bottlenecks, and chaos in your event-driven architecture.
In this video, I'll show you the correct way to handle retries using Spring Cloud Stream Kafka Binder:
✅ Retry failed messages from a dedicated retry topic (instead of blocking the original topic).
✅ Use exponential backoff to avoid hammering your downstream services.
✅ Send unrecoverable messages to a Dead Letter Queue (DLQ) for later analysis.
🔴 Watch now and stop making this critical mistake! 🔴
💬 What do you think about this retry strategy? Drop your thoughts in the comments! 👇
Github:
Decision Microservice (Consumer): https://github.com/PascoalBayonne/Dec...
Customer: (Producer)
https://github.com/PascoalBayonne/Cus...
#SpringCloudStream #Kafka #Microservices #EventDriven #KafkaRetry #SpringBoot #TechTips
