We are preparing to deploy our *Java API-based Kafka Producer* to production and want to ensure our configuration is optimized.
However, we want to validate the configuration for *high reliability and optimal performance* in production. *Message Load Details* - *Message Rate:* 3,000 to 5,000 messages per minute - *Message Size:* ~2,500 to 3,000 bytes per message - *Kafka Version:* 3.6.1 props.put(ProducerConfig.ACKS_CONFIG, "all"); props.put(ProducerConfig.BATCH_SIZE_CONFIG, 131072); props.put(ProducerConfig.LINGER_MS_CONFIG, 50); props.put(ProducerConfig.COMPRESSION_TYPE_CONFIG, "lz4"); props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 67108864); props.put(ProducerConfig.RETRIES_CONFIG, 5); props.put(ProducerConfig.RETRY_BACKOFF_MS_CONFIG, 1000); props.put(ProducerConfig.REQUEST_TIMEOUT_MS_CONFIG, 60000); props.put(ProducerConfig.DELIVERY_TIMEOUT_MS_CONFIG, 600000); *Issue Observed* We have noticed *timeout errors in prod* occasionally when inserting messages into Kafka. Currently, our setup runs fine in lower environments, and even load tests did not show any major issues. *Questions for Optimization:* 1. Are there any potential issues with the above configuration for production use? 2. Given our message load and size, should we *adjust batch size, linger.ms <http://linger.ms>, or buffer.memory* for better performance? 3. Is our *retry and timeout configuration* suitable, or should we fine-tune RETRIES_CONFIG, RETRY_BACKOFF_MS_CONFIG, and DELIVERY_TIMEOUT_MS_CONFIG? 4. Any other best practices we should follow to *avoid timeout errors* in production? Would appreciate insights from the community on how to improve this setup before we go live!. Regards, Giridar
