Apache Kafka 2.3 has been released, bringing several new features and improvements to the popular open-source event-driven platform. One of the key features is the addition of metrics that show partitions with exactly the minimum number of in-sync replicas, allowing users to monitor under-replicated partitions. Additionally, a new command-line flag allows users to easily see which topics have fewer than the minimum number of in-sync replicas. Other notable improvements include prioritizing existing connections over new ones, improving log recovery times, and adding in-memory implementations for the Kafka Streams window store and session store. The release also includes updates to Kafka Connect, including a more efficient rebalancing process and improved logging. Overall, these changes aim to improve the reliability, performance, and scalability of Apache Kafka 2.3.