What is virtualbox aws in registry how to#

The three pieces of information you need to configure the AWS shell are your Access Key, your Secret Access Key, and the Region name you are working within. When we start to type the configure command which you will see does an autocomplete: Now, we need to run our AWS shell which will do some basic configuration at the first launch:Īfter the console comes up (it takes about 30 seconds to build the autocomplete cache), we have to configure it to use our AWS credentials. We do this by running vagrant ssh awssandbox:Įt voila! You are now ready to start up the AWS shell. Once the machine completes the installation, you are ready to log in to the console and give it a try. Sudo apt-get install -y python-pip sudo pip install aws-shell The only reason I like this approach is that I have a super simple deployment of a purpose-built machine to test out AWS CLI work. The basic build of a sandbox machine was documented in my previous post, and the secret sauce for this is really quite easy. What’s in the GitHub Repo to make AWS CLI work? Once the process is completed, you will see this message: We can see that it says not created for the machine, so let’s run vagrant up and get this party started! Next, we change into the directory and we run a vagrant status to confirm that the configuration is ready to run:

What is virtualbox aws in registry how to#

This is how to deploy and configure the AWS Shell environment using a sandbox server in just a couple of simple steps! Clone the GitHub Repoįrom your command line, you can just run a git clone to get ready with all the Vagrant code: I’m assuming that you’ve already got the following installed as documented in that post: In my earlier post, you saw how to configure a basic sandbox environment. While development entirely using your local machine is handy, there can often be configuration issues, and also conflicts with other development libraries. Because we like the Martha Stewart pre-baked oven version of things, this is the shortcut to running the AWS CLI without having to dirty up your own local environment.