Update develop-docs/self-hosted/troubleshooting/kafka.mdx

Co-authored-by: Shannon Anahata <[email protected]>

Author: aldy505

develop-docs/self-hosted/troubleshooting/kafka.mdx

@@ -8,7 +8,7 @@ sidebar_order: 2
 
 This section is aimed for those who have Kafka problems, but are not yet familiar with Kafka. At a high level, Kafka is a message broker which stores messages in a log, very similar to an array, format. It receives messages from producers that write to a specific topic, and then sends them to consumers that are subscribed to that topic. The consumers can then process the messages.
 
-On the inside, when a message enters a topic, it would be written to a certain partition. You can think partition as physical boxes that stores messages for a specific topic, each topic will have their own separate & dedicated partitions. In a distributed Kafka setup, each partition might be stored on a different machine/node, but if you only have a single Kafka instance, then all the partitions are stored on the same machine.
+On the inside, when a message enters a topic, it will be written to a certain partition. You can think of a partition as physical a box that stores messages for a specific topic. In a distributed Kafka setup, each partition might be stored on a different machine/node, but if you only have a single Kafka instance, then all the partitions are stored on the same machine.
 
 When a producer sends a message to a topic, it will either stick to a certain partition number (example: partition 1, partition 2, etc.) or it will randomly choose a partition. A consumer will then subscribe to a topic and will automatically be assigned to one or more partitions by Kafka. The consumer will then start receiving messages from the assigned partitions. One very important aspect to note is that **the number of consumers within a consumer group must not exceed the number of partition for a given topic**. If you have more consumers than number of partitions, then the consumers will be hanging with no messages to consume.