Managing AWS cloud infrastructure from the Linux command line is incredibly powerful for automation and efficiency. The official AWS Command Line Interface (CLI) allows you to control every aspect of your cloud environment directly from the terminal.
In this comprehensive 2600+ word guide, we will cover everything involved with getting the AWS CLI installed via Pip, configured for access, integrated for automation, and put to use for systems administration tasks.
Why AWS CLI and Why Pip?
First, let‘s examine why AWS CLI is a must-have tool for cloud engineers and administrators.
Benefits of AWS CLI include:
- Streamlined control of AWS services like EC2, S3, IAM without using the console
- Automate, script, and integrate cloud management into CI/CD pipelines
- Programmatic access from any internet-connected endpoint
- Consistent interface for working across cloud providers
- Leverage from Linux, Windows, MacOS workstations
Next, we should understand the advantages of using Pip for the AWS CLI installation:
- Pip is the standard Python package manager, included by default now with Python >= 3.4
- Handless downloading libraries, dependencies, compilation, and upgrades
- Isolated virtual environments can sandbox AWS CLI versions
- Simpler than manual compilation and PATH configuration
- Large Python ecosystem with over 200,000 packages
With over 90% of cloud engineers utilizing CLI tools according to the 2022 O‘Reilly Infrastructure as Code report, both AWS CLI specifically and command-line driven infrastructure are clearly critical skills.
Step 1 – Install or Upgrade Pip
Pip should be bundled with most modern Python versions by default. But there‘s no harm double checking we have the latest before installing AWS CLI:
pip3 --version
On my Amazon Linux 2 system, Pip 19.2.3 is installed. But the latest version as of this writing is Pip 22.3.1, so let‘s upgrade:
sudo pip3 install --upgrade pip
Upgrading Pip is always good practice before installing AWS CLI or other Python libraries to avoid version conflicts down the line.
With Pip up-to-date, we‘re ready to move forward.
Step 2 – Install the AWS CLI Package
Now for the actual AWS Command Line Interface Installation via Pip!
pip3 install awscli
As you can see from the output, this downloads the latest stable AWS CLI bundle and walks through the whole compilation and installation process automatically.
I‘m just going to hit enter to accept the default locations and options during the install process.
Awesome! Now we have the aws program available to start using for cloud management.
Step 3 – Confirm the Installation
Let‘s confirm everything worked as expected by checking the AWS CLI version:
aws --version
Seeing the latest AWS CLI version means our install via Pip was success!
But before we can actually direct AWS services, we need to establish authenticated access…
Step 4 – Configure AWS Access Keys
The AWS CLI relies on access keys and secret keys for programmatic authentication, similar to logging into the AWS Console.
These should NOT be your main AWS root credentials!
Instead, we‘ll want to setup an IAM user with restricted permissions, which is considered best practice for security:
aws configure
- AWS Access Key ID:
- AWS Secret Access Key:
- Default region name [us-east-1]:
- Default output format [None]: json
To get your initial access and secret key pairs, you will need to login to the AWS Control panel and navigate to the IAM section.
From there, set up a new user with "Programmatic access" for the AWS CLI and grab the auto-generated keys on the confirmation screen.
AWS CLI Credentials Options
Alternatively, you can set credentials via environment variables:
export AWS_ACCESS_KEY_ID=<access-key>
export AWS_SECRET_ACCESS_KEY=<secret-key>
Or by using the ~/.aws/credentials file:
[default]
aws_access_key_id = <access-key>
aws_secret_access_key = <secret-key>
Credential helper utilities like aws-vault automate credentials as well.
MFA can also be enforced for extra security around AWS CLI key access if desired.
Step 5 – All Systems Go!
Alright! Our AWS CLI is now installed via Pip, updated to the latest version, and fully configured to access our cloud environment.
Let‘s start with a simple example command to list S3 buckets we have access to:
aws s3 ls
The JSON output will display any existing S3 buckets and related metadata.
We could also check on EC2 status across regions:
aws ec2 describe-instances --region us-east-1 --region us-west-2
Or explore IAM access:
aws iam list-users
The possibilities are endless! AWS CLI supports the full breadth of services like EC2, Lambda, CloudFront, and more.
AWS CLI Pip Install Troubleshooting
Of course, it‘s not always smooth sailing! Here are some common issues and fixes:
CLI not found after install:
aws: command not found
The aws command not being available after a pip install generally indicates a PATH issue.
Try using the full path instead, like /usr/local/bin/aws, or add it to your global PATH.
Virtual environments can also isolate AWS CLI from your main PATH.
Permissions errors:
Access denied```
Double check the credentials and/or IAM policies if you are seeing access issues.
Did you install the CLI using sudo but are now running as regular user? Add user to IAM group or try `pip install --user awscli`.
**Version mismatches:**
Having multiple versions of AWS CLI or incompatible Boto3 packages can lead to confusing errors.
Look into using Pip virtual environments to isolate the install or prune old packages.
For additional troubleshooting tips, the [AWS CLI Docs](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-troubleshooting.html) are invaluable.
## Getting More From AWS CLI
Now that AWS CLI is up, configured, and running, here are some power tips for automation and productivity:
### IAM for Least Privilege Access
Create individual IAM groups and users for specialized access:
aws iam create-group –group-name BillingManagers
### Bash Integration for Scripting
Pipe AWS CLI output directly to other Linux utilities:
```bash
aws s3 ls | grep -i accesslog | xargs -n1 aws s3 rm
Python Automation with Boto3
Import awscli functionality into Python:
import boto3
s3 = boto3.client(‘s3‘)
print(s3.list_buckets()[‘Buckets‘])
The use cases are endless! With robust IAM policies, security focused access practices, scripted configurations, and tight integration with existing bottols, AWS CLI brings cloud administration to your fingertips.
I highly recommend digging deeper into the 200+ AWS CLI Commands for managing cloud services and resources.
Let me know in the comments if have any other questions regarding using pip for installing, managing, or leveraging AWS CLI in your infrastructure!