modified ami id ami-9883c3f8

RLOpenCatalyst · Aug 23, 2016 · cc236cc · cc236cc
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diff --git a/Catalyst/source/gettingstarted.rst b/Catalyst/source/gettingstarted.rst
@@ -56,7 +56,7 @@ RL Catalyst Installation on Vagrant without chef::
 
 If you have an AWS account, you can bring up RLCatalyst using the public AMI available. The public image is currently available for US east(N.Virginia) region. This comes with some basic configurations required by RLCatalyst
 
-1. From your EC2 dashboard, select N.California region . In the Images/AMI link, choose "Public Images" in the dropdown . Search for image with AMI ID ``ami-14e37203`` and AMI Name ``RLCatalyst3.2.0``
+1. From your EC2 dashboard, select N.California region . In the Images/AMI link, choose "Public Images" in the dropdown . Search for image with AMI ID ``ami-9883c3f8`` and AMI Name ``RLCatalyst3.2.0``
 2. Select the image and hit Launch
 3. On the "Instance Type" page ,choose the instance size as t2.medium or bigger . We recommend atleast 4 GB RAM
 4. On the "Configure Instance Details" page, choose your preferred Network and Subnets. If you want to assign a public IP to RLCatalyst, then enable "Auto-assign Public IP"

diff --git a/Catalyst/source/quickinstaller.rst b/Catalyst/source/quickinstaller.rst
@@ -70,7 +70,7 @@ Install from AWS AMI
 
 If you have an AWS account, you can bring up RLCatalyst using the public AMI available. The public image is currently available for US east(N.Virginia) region. This comes with some basic configurations required by RLCatalyst
 
-1. From your EC2 dashboard, select N.California region . In the Images/AMI link, choose "Public Images" in the dropdown . Search for image with AMI ID ``ami-14e37203`` and AMI Name ``RLCatalyst3.2.0``
+1. From your EC2 dashboard, select N.California region . In the Images/AMI link, choose "Public Images" in the dropdown . Search for image with AMI ID ``ami-9883c3f8`` and AMI Name ``RLCatalyst3.2.0``
 2. Select the image and hit Launch
 3. On the "Instance Type" page ,choose the instance size as t2.medium or bigger . We recommend atleast 4 GB RAM
 4. On the "Configure Instance Details" page, choose your preferred Network and Subnets. If you want to assign a public IP to RLCatalyst, then enable "Auto-assign Public IP"