Retries happen. Learn how to build idempotent consumers and producers to ensure exactly-once processing.
In a distributed system, network errors lead to retries. If a consumer receives the same message twice, it must not execute the logic twice.
The client or producer attaches a unique to every request. The consumer stores this key in Redis or a DB. If the key exists, the request is ignored.
The definitive guide to building scalable, reliable distributed systems by Martin Kleppmann.
Real-time data and stream processing by Confluent engineers.
Hands-on Kafka course covering producers, consumers, Kafka Streams, and Connect.
Practical engineering notes
One useful note when a new deep dive is published: system design tradeoffs, Java production lessons, Kafka debugging, database patterns, and AI infrastructure.
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Engineering Manager and backend engineer with 10+ years building distributed systems across fintech, enterprise SaaS, and startups. CodeSprintPro is where I write practical guides on system design, Java, Kafka, databases, AI infrastructure, and production reliability.
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