docs: Update docs to specify Packer version 1.6.0 (#484)

awslabs · May 13, 2021 · eeb0f3b · eeb0f3b
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diff --git a/addons/addon-base-raas/packages/serverless-packer/README.md b/addons/addon-base-raas/packages/serverless-packer/README.md
@@ -4,6 +4,7 @@
 
 - Node 12
 - [Hashicorp Packer](https://www.packer.io/)
+    - The Service Workbench code is tested with Packer 1.6.0. You can install Packer 1.6.0 by using Packer version manager [pkenv](https://github.com/iamhsa/pkenv).
 
 #### Project variables
 
@@ -19,6 +20,6 @@ By convention, this looks in the `./config/infra` directory for a json file that
 
 ## Topics
 
-- [Installing Packer](https://learn.hashicorp.com/tutorials/packer/getting-started-install)
+- [Installing Packer](https://github.com/iamhsa/pkenv)
 
 - [Troubleshooting](https://learn.hashicorp.com/tutorials/packer/getting-started-install#troubleshooting)
diff --git a/docs/docs/deployment/deployment/index.md b/docs/docs/deployment/deployment/index.md
@@ -28,7 +28,7 @@ _**Note**: You can create your own machine image if you do not wish to use the o
 
 To deploy the machine images SDC, follow the steps outlined in the readme file located in `main/solution/machine-images/README.md`. Additionally, perform the following actions: 
 
-1.	Install the open source tool, Packer from this [website](https://www.packer.io/). Packer is used to create a custom AMI which is then pushed to the Service Workbench deployment.
+1.	Install Packer 1.6.0 by using [pkenv](https://github.com/iamhsa/pkenv). Packer 1.6.0 creates a custom AMI that is uploaded to the Service Workbench deployment.
 2.	Fetch the package with `curl` or `wget`, unzip the package, and copy it to the `directory /usr/local/bin`. 
 3.	Change directory to `/main/solution/machine-images`. 
 4.	Run the command below. The command takes approximately 15 minutes to complete: 

diff --git a/main/solution/machine-images/README.md b/main/solution/machine-images/README.md
@@ -4,7 +4,7 @@
 
 This solution uses [Packer](https://www.packer.io/) to create an Amazon Machine Image (AMI). This AMI forms the basis for EC2/EMR environments that investigators use for their research.
 
-To install Packer, please see their installation [instructions](https://www.packer.io/intro/getting-started/install.html).
+To install Packer 1.6.0, use [pkenv](https://github.com/iamhsa/pkenv).
 
 ## Preparation