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Universal Command Line Environment for AWS.

Project description

aws-cli

This package provides a unified command line interface to a many Amazon Web Services.

The currently supported services include:

  • Amazon Elastic Compute Cloud (Amazon EC2)

  • Elastic Load Balancing

  • Auto Scaling

  • AWS CloudFormation

  • AWS Elastic Beanstalk

  • Amazon Simple Notification Service (Amazon SNS)

  • Amazon Simple Queue Service (Amazon SQS)

  • Amazon Relational Database Service (Amazon RDS)

  • AWS Identity and Access Management (IAM)

  • AWS Security Token Service (STS)

  • Amazon CloudWatch

  • Amazon Simple Email Service (Amazon SES)

The aws-cli package should work on Python versions 2.6.x - 3.3.x.

Installation

The easiest way to install aws-cli is to use easy_install or pip.

$ easy_install awscli

or, if you are not installing in a virtualenv:

$ sudo easy_install awscli

Using pip, it would simply be:

$ pip install awscli

or:

$ sudo pip install awscli

This will install the aws-cli package as well as all dependencies.

Command Completion

The aws-cli package includes a very useful command completion feature that for bash users. Currently, this feature is not automatically installed so you need to configure it manually. To enable tab completion use the bash built-in command complete.

$ complete -C aws_completer aws

You should add this to your startup scripts to enable it for future sessions.

Getting Started

Before using aws-cli, you need to tell it about your AWS credentials. You can do this in several ways:

  • Environment variables

  • Config file

  • IAM Role

To use environment variables, do the following:

$ export AWS_ACCESS_KEY_ID=<access_key> $ export AWS_SECRET_ACCESS_KEY=<secret_key>

To use a config file, create a configuration file like this:

[default] aws_access_key_id=<default access key> aws_secret_access_key=<defaul secret key> region=us-west-1 # optional, to define default region for this profile

[testing] aws_access_key_id=<testing access key> aws_secret_access_key=<testing secret key> region=us-west-2

As you can see, you can have multiple profiles defined in this configuration file and specify which profile to use by using the --profile option. If no profile is specified the default profile is used. Once you have created the config file, you need to tell aws-cli where to find it. Do this by setting the appropriate environment variable.

$ export AWS_CONFIG_FILE=/path/to/config_file

The final option for credentials is highly recommended if you are using aws-cli on an EC2 instance. IAM Roles are a great way to have credentials installed automatically on your instance. If you are using IAM Roles, aws-cli will find them and use them automatically.

Complex Parameter Input

Many options that need to be provided are simple string or numeric values. However, some operations require complex data structures as input parameters. These options must be provided as JSON data structures, either on the command line or in files.

For example, consider the command to authorize access to an EC2 security group. In this case, we will add ingress access to port 22 for all IP addresses.

$ aws ec2 authorize-security-group-ingress –group-name MySecurityGroup –ip-permissions ‘{“from_port”:22,”to_port”:22,”ip_protocol”:”tcp”,”ip_ranges”:[“0.0.0.0/0”]}’

You could also place the JSON in a file, called port22.json for example, and use this:

$ aws ec2 authorize-security-group-ingress –group-name MySecurityGroup –ip-permissions /path/to/port22.json

Command Output

The default output for commands is currently JSON. This may change in the future but for now it provides the most complete output. You may find the [jq](http://stedolan.github.com/jq/) tool useful in processing the JSON output for other uses.

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