🌟Dead Letter Queue Strategy In Kafka !! Subscribe for such insights 👇🏻 #tech #techshorts #kafka

🔥 Designing a Bulletproof Kafka DLQ Strategy with Java ☕🐘🛡️
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1️⃣ Goal: Capture Failed Kafka Messages 💣➡️📥
• Tech Stack: Kafka 🐘, Java ☕, Spring Kafka 🎧
• Use Case: Payment event fails → send to DLQ.payment.failed.

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2️⃣ Kafka Consumer with Retry & DLQ Logic 🔁⚙️
• Tech Stack: Spring Kafka + DeadLetterPublishingRecoverer
• Use Case: Retry 3 times → fail → route to DLQ.

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3️⃣ DLQ Producer with Metadata 📝📤
• Tech Stack: KafkaTemplate, Spring Boot
• Use Case: User update event fails → add error info → send to user.profile.dlq.

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4️⃣ DLQ Consumer + Alerting 🚨📬
• Tech Stack: Spring Boot, MongoDB/Elastic, Slack/Email
• Use Case: Consume from order.dlq → notify SRE team.

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5️⃣ DLQ Reprocessor UI or API 🔁🧼
• Tech Stack: Java REST API, KafkaProducer, React UI
• Use Case: Ops replays fixed messages from payment.dlq.

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📞🌟If you find informative and looking for implementation just comment “DLQ” ☕💻✨.

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