diff --git a/README.md b/README.md
index ada9972..a37c4dd 100644
--- a/README.md
+++ b/README.md
@@ -32,7 +32,7 @@ You can review the Python code for the Lambda function [here](https://github.com
 ### Some caveats
 
 1. When scaling out/in, in this sample we only update the overall parallelism; we don't adjust parallelism/KPU.
-2. When scaling occurs, the KDA app experiences downtime. Please take this into consideration, when configuring the step scaling increments.
+2. When scaling occurs, the KDA app experiences downtime. Please take this into consideration when configuring the step scaling increments.
 3. Please keep in mind that the throughput of a Flink application is dependent on many factors (complexity of processing, destination throughput, etc...). This example assumes a simple relationship between incoming record throughput and scaling for demonstration purposes.
 
 ## Target tracking scaling
diff --git a/step-scaling/README.md b/step-scaling/README.md
index 843c03a..677550f 100644
--- a/step-scaling/README.md
+++ b/step-scaling/README.md
@@ -18,5 +18,5 @@ You can review the Python code for the Lambda function [here](https://github.com
 ### Some caveats
 
 1. When scaling out/in, in this sample we only update the overall parallelism; we don't adjust parallelism/KPU.
-2. When scaling occurs, the KDA app experiences downtime. Please take this into consideration, when configuring the step scaling increments.
+2. When scaling occurs, the KDA app experiences downtime. Please take this into consideration when configuring the step scaling increments.
 3. Please keep in mind that the throughput of a Flink application is dependent on many factors (complexity of processing, destination throughput, etc...). This example assumes a simple relationship between incoming record throughput and scaling for demonstration purposes.
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