"Instead of using the console, use the cli!".
Command-line tools for managing pet EC2 instances by name.
Defaults only need to be supplied once via a config file, which supports multiple profiles for different regions or AWS accounts.
For examples see:
Run the following to install the latest master version using pip:
pip install aec-cli
If you have previously installed aec, run the following to upgrade to the latest version:
pip install --upgrade aec-cli
NB: Consider using pipx to install aec-cli into its own isolated virtualenv.
Before you can use aec, you will need to create the config files in ~/.aec/
. The config files contain settings for your AWS account including VPC details and additional tagging requirements.
To get started, run aec configure example
to install the example config files and then update them as needed.
For even faster access to aec subcommands, you may like to add the following aliases to your .bashrc:
alias ec2='COLUMNS=$COLUMNS aec ec2'
alias ami='COLUMNS=$COLUMNS aec ami'
alias ssm='COLUMNS=$COLUMNS aec ssm'
COLUMNS=$COLUMNS
will ensure output is formatted to the width of your terminal when piped.
To use aec with the named profile 'production':
export AWS_DEFAULT_PROFILE=production
aec ec2 describe
wallix/awless is written in Go, and is an excellent substitute for awscli with
support for many AWS services. It has human friendly commands for use on the command line or in templates. Unlike aec
its ec2 create instance command doesn't allow you to specify the EBS volume size, or add tags.
achiku/jungle is written in Python, and incorporates a smaller subset of ec2 commands and doesn't launch new instances. It does however have an ec2 ssh command. It also supports other AWS services like ELB, EMR, RDS.
See CONTRIBUTING.md to get started and develop in this repo.