awsinfo is a read-only client for AWS written in Bash. It tries to replace the AWS console for getting basic information about your AWS resoures in your CLI. No more opening the AWS Console when all you want to know is basic information about your resources.
When we try to get the most out of AWS by building on top of as many AWS services as possible we regularly have to look up information about our resources. From checking the deploment status of a CloudFormation stack to the number of messages in an SQS Queue, the status of a CodeBuild Project or the number of EC2 instances currently running.
Looking up this information often requires us to go through the AWS Console as the CLI tooling that AWS provides is a great interface to their API, but hard to use for getting an overview on deployed resources quickly.
awsinfo provides you with default views, similar to the AWS Console, for various (and growing) AWS services so you can get the most important information. While
awsinfo provides you with some access to deeper information on specific services, for the most part once you want to dig really deep other tools like the
aws-shell are great for exploring all the details.
Terminals are the most common piece of tech we all use, regardless of the specific language we prefer. By building
awsinfo as a collection of bash scripts you can easily see and understand how it works under the hood. If it doesn’t do exactly what you need it to do you can copy the script, edit it to do exactly what you need and add that to your repository or local bash.
This is much more complicated if this tool were built on any specific programming language as we’d have to understand a lot more of the environment to get it up and running.
Building it with Bash also means we can use the
awscli directly which removes a lot of necessary implementation.
While you can simply clone the repository and run the
awsinfo.bash file directly (e.g. by putting it into your
PATH) the preferred method of installation is going through Docker. This allows tight control over everything that is used in
awsinfo (e.g. Bash Version or other tools that need to be available like gnu time) while making it easy for you to install and use. In case you install
awsinfo by cloning the repo make sure you have Bash 4 and the
awscli installed. Some commands might need specific cli tools as well, check the
Dockerfile for all the tools that are installed.
You can use the following command to use the
awsinfo Docker container with pure Docker. It will automatically download it and run the container for you with any Arguments you append at the end. It makes the
~/.aws folder accessible as a Volume as well as forwarding all
awscli default environment variables.
docker run -it -v ~/.aws:/root/.aws -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY -e AWS_SESSION_TOKEN -e AWS_DEFAULT_REGION -e AWS_DEFAULT_PROFILE -e AWS_CONFIG_FILE flomotlik/awsinfo ARGUMENTS_FOR_AWSINFO
You can set it up as an alias in your shell config file as well.
alias awsinfo='docker run -it -v ~/.aws:/root/.aws -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY -e AWS_SESSION_TOKEN -e AWS_DEFAULT_REGION -e AWS_DEFAULT_PROFILE -e AWS_CONFIG_FILE flomotlik/awsinfo'
If you’re using Whalebrew(Which I highly recommend) simply run the following to install:
whalebrew install flomotlik/awsinfo
To update the Docker container run
docker pull flomotlik/awsinfo:latest
awsinfo commands support commands and subcommands, for example you can run
awsinfo logs to print log messages
awsinfo logs groups to get a list of all log groups in the current account and region.
To see all supported services check out the following list or run
You can see all the available commands for a service by running
awsinfo commands SERVICE, e.g.
awsinfo commands ec2.
You can run any command with
awsinfo logs --help) to see the same help
page that is in the repo (and linked below).
You can list all supported services with
awsinfo commands and get a list of all commands per service with
awsinfo command SERVICE, e.g.
awsinfo command ec2
Following is a list of all available commands and links to their source documentation files that are also used when you call a command with