diff --git a/samples/dynamo-db-export-as-csv/readme.md b/samples/dynamo-db-export-as-csv/readme.md
index bdc44b6..88299ae 100644
--- a/samples/dynamo-db-export-as-csv/readme.md
+++ b/samples/dynamo-db-export-as-csv/readme.md
@@ -5,6 +5,6 @@ Steps to run the pipeline using the cli.
 1) aws datapipeline create-pipeline --name ddb-backup --unique-id some-unique-id
   => Returns a pipeline-id 
 
-2) aws datapipeline put-pipeline-definition --pipeline-id <pipeline-id> --pipeline-definition file:///home/user/ddb-to-csv.json  
+2) aws datapipeline put-pipeline-definition --pipeline-id &lt;pipeline-id&gt; --pipeline-definition file:///home/user/ddb-to-csv.json  
 
-3) aws datapipeline activate-pipeline --pipeline-id <pipeline-id>
+3) aws datapipeline activate-pipeline --pipeline-id &lt;pipeline-id&gt;
diff --git a/samples/dynamo-db-export/DynamoDB-export.json b/samples/dynamo-db-export/DynamoDB-export.json
index 6624eb5..b6a53bb 100644
--- a/samples/dynamo-db-export/DynamoDB-export.json
+++ b/samples/dynamo-db-export/DynamoDB-export.json
@@ -40,9 +40,9 @@
             "masterInstanceType": "m1.medium",
             "coreInstanceType": "#{myInstanceType}",
             "coreInstanceCount": "#{myInstanceCount}",
-	          "region" : "#{myRegion}",
-	          "terminateAfter" : "12 hours",
-            "keyPair" : "ramsug-test-desktop"
+	        "region" : "#{myRegion}",
+            "terminateAfter" : "12 hours",
+            "keyPair" : "#{myKeyPair}"
         }
     ],
     "parameters": [
@@ -71,15 +71,21 @@
         },
         {
             "description": "Instance Count",
-	    "watermark" : " (IOPS / 300) for m1.medium.(IOPS / 1500) for m3.xlarge",
+	        "watermark" : " (IOPS / 300) for m1.medium.(IOPS / 1500) for m3.xlarge",
             "id": "myInstanceCount",
             "type": "Integer"
         },
-	{
-	    "description" : "Region",
-	    "watermark"   : "Region of DynamoDB Table/EMR cluster",
+        {
+            "description" : "Region",
+            "watermark"   : "Region of DynamoDB Table/EMR cluster",
             "id"          : "myRegion",
             "type"     :    "String"
-	}
+        },
+        {
+            "description" : "KeyPair",
+            "watermark"   : "KeyPair for EC2 instances",
+            "id"          : "myKeyPair",
+            "type"     :    "String"
+        }
     ]
 }
diff --git a/samples/dynamo-db-export/example-parameters.json b/samples/dynamo-db-export/example-parameters.json
index a32388b..65934fd 100644
--- a/samples/dynamo-db-export/example-parameters.json
+++ b/samples/dynamo-db-export/example-parameters.json
@@ -6,6 +6,7 @@
         "myDDBTableName"           :   "dynamo-table-name",
         "myInstanceType"           :   "m1.medium",
         "myInstanceCount"          :   "1",
-        "myRegion"                 :   "eu-west-1"
+        "myRegion"                 :   "eu-west-1",
+        "myKeyPair"                :   "key-for-ddb-backup"
     }
 }
diff --git a/samples/dynamo-db-export/readme.md b/samples/dynamo-db-export/readme.md
index e0b6e9c..157ed76 100644
--- a/samples/dynamo-db-export/readme.md
+++ b/samples/dynamo-db-export/readme.md
@@ -2,9 +2,11 @@ This pipeline exports data from a Dynamo DB Table to a S3 location using an EMR
 
 Steps to run the pipeline using the cli.
 
-1) aws datapipeline create-pipeline --name ddb-backup --unique-id some-unique-id
+1) aws ec2 create-key-pair --key-name key-for-ddb-backup
+
+2) aws datapipeline create-pipeline --name ddb-backup --unique-id some-unique-id
   => Returns a pipeline-id 
 
-2) aws datapipeline put-pipeline-definition --pipeline-id <pipeline-id> --pipeline-definition file:///home/user/DynamoDB-export.json --parameter-values-uri file:///home/user/example-parameters.json 
+3) aws datapipeline put-pipeline-definition --pipeline-id &lt;pipeline-id&gt; --pipeline-definition file:///home/user/DynamoDB-export.json --parameter-values-uri file:///home/user/example-parameters.json 
 
-3) aws datapipeline activate-pipeline --pipeline-id <pipeline-id>
+4) aws datapipeline activate-pipeline --pipeline-id &lt;pipeline-id&gt;
diff --git a/samples/dynamo-db-to-redshift/readme.md b/samples/dynamo-db-to-redshift/readme.md
index 79f5e2e..8d775ed 100644
--- a/samples/dynamo-db-to-redshift/readme.md
+++ b/samples/dynamo-db-to-redshift/readme.md
@@ -4,6 +4,6 @@ Steps to run the pipeline using the cli.
 1) aws datapipeline create-pipeline --name ddb-backup --unique-id some-unique-id
   => Returns a pipeline-id 
 
-2) aws datapipeline put-pipeline-definition --pipeline-id <pipeline-id> --pipeline-definition file:///home/user/dynamo-db-to-redshift.json  
+2) aws datapipeline put-pipeline-definition --pipeline-id &lt;pipeline-id&gt; --pipeline-definition file:///home/user/dynamo-db-to-redshift.json  
 
-3) aws datapipeline activate-pipeline --pipeline-id <pipeline-id>
+3) aws datapipeline activate-pipeline --pipeline-id &lt;pipeline-id&gt;
diff --git a/samples/rds-to-rds-copy/readme.md b/samples/rds-to-rds-copy/readme.md
index b336cda..d236c7a 100644
--- a/samples/rds-to-rds-copy/readme.md
+++ b/samples/rds-to-rds-copy/readme.md
@@ -7,6 +7,6 @@ Steps to run the pipeline using the cli.
 1) aws datapipeline create-pipeline --name ddb-backup --unique-id some-unique-id
   => Returns a pipeline-id 
 
-2) aws datapipeline put-pipeline-definition --pipeline-id <pipeline-id> --pipeline-definition file:///home/user/rds-to-rds-copy.json  
+2) aws datapipeline put-pipeline-definition --pipeline-id &lt;pipeline-id&gt; --pipeline-definition file:///home/user/rds-to-rds-copy.json  
 
-3) aws datapipeline activate-pipeline --pipeline-id <pipeline-id>
+3) aws datapipeline activate-pipeline --pipeline-id &lt;pipeline-id&gt;