AWS CLI Command CMDsheet
Introduction
In this blog post, we will explore some commonly used AWS CLI commands that can help you manage your AWS resources efficiently. Whether you are a beginner or an experienced AWS user, having a cmdsheet of AWS CLI commands can be handy.
Prerequisites
Before we dive into the commands, make sure you have the AWS CLI installed and configured on your machine. You can follow the official AWS CLI documentation to get started.
AWS CLI Command Cmdsheet
Here are some frequently used AWS CLI commands:
aws s3 - Command to interact with Amazon S3 (Simple Storage Service). You can use this command to create buckets, upload/download files, and manage S3 objects.
aws ec2 - Command to manage Amazon EC2 (Elastic Compute Cloud) instances. You can use this command to launch, stop, terminate, and manage EC2 instances.
aws lambda - Command to manage AWS Lambda functions. You can use this command to create, update, invoke, and manage Lambda functions.
aws rds - Command to manage Amazon RDS (Relational Database Service) instances. You can use this command to create, modify, and manage RDS instances.
aws cloudformation - Command to manage AWS CloudFormation stacks. You can use this command to create, update, and delete CloudFormation stacks.
aws iam - Command to manage AWS Identity and Access Management (IAM) resources. You can use this command to create users, manage permissions, and configure IAM policies.
aws ssm - Command to interact with AWS Systems Manager. You can use this command to manage and automate operational tasks on your EC2 instances.
aws cloudwatch - Command to manage Amazon CloudWatch resources. You can use this command to monitor and troubleshoot your AWS resources.
Conclusion
In this blog post, we covered some commonly used AWS CLI commands that can help you manage your AWS resources efficiently. Having a CMDsheet of these commands can save you time and make your AWS management tasks easier. Make sure to refer to the official AWS CLI documentation for more details on each command.
Happy coding with AWS CLI!