Update _posts/2026-01-08-measuring-debezium-server-performance-mysql-streaming.adoc

Co-authored-by: roldanbob <23705736+roldanbob@users.noreply.github.com>
Signed-off-by: Alvar Viana Gomez <alvigo92@gmail.com>

Author: AlvarVG

_posts/2026-01-08-measuring-debezium-server-performance-mysql-streaming.adoc

@@ -187,7 +187,7 @@ Other factors - I/O wait, batching or internal optimizations - might play a more
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-The memory consumption remains stable across different operation counts and tables, with no clear relationship to the number of operations executed. Most measurements cluster within a similar range, suggesting a consistent baseline memory footprint largely independent of workload size.
+Memory consumption remains stable across different operation counts and tables, with no clear relationship to the number of operations executed. Most measurements cluster within a similar range, suggesting a consistent baseline memory footprint that is largely independent of workload size.
 The chart suggests that memory usage is dominated by logical database schema or configuration-related factors rather than by the volume of operations, and that memory is unlikely to be the primary scaling constraint. 
 
 ++++