How deeply do you work with Kafka?

My experience with Kafka is quite in-depth and includes the following aspects:

• Setting up and administering Kafka clusters, including configuring brokers, topics, and partitions.
• Developing producers and consumers in Java using the Kafka Clients API.
• Implementing data serialization schemas (Avro, JSON, Protobuf) and integrating with Schema Registry.
• Ensuring message delivery guarantees (at-least-once, exactly-once) and error handling.
• Using Kafka Streams for real-time data stream processing.
• Monitoring and optimizing performance, configuring retention policies, and load balancing.

Example of a simple producer in Java:

Properties props = new Properties();
props.put("bootstrap.servers", "localhost:9092");
props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");

Producer<String, String> producer = new KafkaProducer<>(props);
producer.send(new ProducerRecord<>("my-topic", "key1", "value1"));
producer.close();