JimGalasyn commented on a change in pull request #9969:
URL: https://github.com/apache/kafka/pull/9969#discussion_r564106498
##########
File path: docs/streams/architecture.html
##########
@@ -110,6 +110,11 @@ <h3 class="anchor-heading"><a
id="streams_architecture_threads" class="anchor-li
and Kafka Streams takes care of distributing partitions amongst tasks
that run in the application instances. You can start as many threads of the
application
as there are input Kafka topic partitions so that, across all running
instances of an application, every thread (or rather, the tasks it runs) has at
least one input partition to process.
</p>
+ <p>
+ As of Kafka 2.8 you may scale clients much in the same way you can
scale your application.
Review comment:
```suggestion
Starting with Kafka 2.8, you can scale clients much in the same way
that you scale your applications.
```
##########
File path: docs/streams/architecture.html
##########
@@ -110,6 +110,11 @@ <h3 class="anchor-heading"><a
id="streams_architecture_threads" class="anchor-li
and Kafka Streams takes care of distributing partitions amongst tasks
that run in the application instances. You can start as many threads of the
application
as there are input Kafka topic partitions so that, across all running
instances of an application, every thread (or rather, the tasks it runs) has at
least one input partition to process.
</p>
+ <p>
+ As of Kafka 2.8 you may scale clients much in the same way you can
scale your application.
+ Simply add or remove threads and Kafka Streams will take care of
redistributing the partitions.
Review comment:
```suggestion
Simply add or remove threads, and Kafka Streams takes care of
redistributing the partitions.
```
##########
File path: docs/streams/architecture.html
##########
@@ -110,6 +110,11 @@ <h3 class="anchor-heading"><a
id="streams_architecture_threads" class="anchor-li
and Kafka Streams takes care of distributing partitions amongst tasks
that run in the application instances. You can start as many threads of the
application
as there are input Kafka topic partitions so that, across all running
instances of an application, every thread (or rather, the tasks it runs) has at
least one input partition to process.
</p>
+ <p>
+ As of Kafka 2.8 you may scale clients much in the same way you can
scale your application.
+ Simply add or remove threads and Kafka Streams will take care of
redistributing the partitions.
+ You may also add threads to replace threads that have died removing
the need to restart clients to recover the number of thread running.
Review comment:
```suggestion
You can also add threads to replace threads that have died, removing
the need to restart clients to recover the number of threads running.
```
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