10 Configs to Make Your Kafka Producer More Resilient

10 Configs to Make Your Kafka Producer More Resilient

10 Configs to Make Your Kafka Producer More Resilient. Kafka is well known for its resiliency, fault-tolerance, and high throughput. But its performance doesn't always meet everyone's expectations.

Kafka is well known for its resiliency, fault-tolerance, and high throughput. But its performance doesn’t always meet everyone’s expectations. In some cases, we can improve it by scaling out or scaling up brokers. While in most cases, we have to play the game of configurations.

There are really tons of configurations in Kafka ecosystem. It’s nearly impossible to grasp the idea of every single configuration. On one hand, they definitely make the system more flexible, but on the other hand, developers can feel quite confused about what to do with them.

Fortunately, the majority of configurations are already pre-defined in a way that they work well for most situations. For starters, the mandatory configurations they need to know are very limited.

But of course, I assume you are reading this article because you want to bring your Kafka producer to the next level. So in this article, I want to share 10 configs that I think are important to make your producer more resilient.

The configs that will be discussed in this article are acksreplica.lag.time.max.msmin.insync.replicasretriesenable.idempotentmax.in.flight.requests.per.connectionbuffer.memorymax.block.mslinger.msbatch.size.

software-development artificial-intelligence machine-learning data-science kafka

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