Working with AWS services in AWS CloudShell
A key benefit of AWS CloudShell is that you can use it to manage your AWS services from the command line interface. This means that you don't need to download and install tools or configure your credentials locally beforehand. When you launch AWS CloudShell, a compute environment is created that has the following AWS command line tools already installed:
And because you’ve already signed into AWS, there's no requirement to configure your credentials locally before using services. The credentials you used to sign in to the AWS Management Console are forwarded to AWS CloudShell.
If you want to change the default AWS Region used for AWS CLI, you can change the value
assigned to the AWS_REGION environment variable. (For more information, see Specifying your default AWS Region
for AWS CLI.)
The rest of this topic demonstrates how you can start using AWS CloudShell to interact with selected AWS services from the command line.
AWS CLI command line examples for selected AWS services
The following examples represent only some of the numerous AWS services that you can
work with using commands available from AWS CLI Version 2. For a full listing, see the AWS CLI
Command Reference
DynamoDB
DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. This service's implementation of the NoSQL mode supports key-value and document data structures.
The following create-table command creates a NoSQL-style table that's
named MusicCollection in your AWS account.
aws dynamodb create-table \ --table-name MusicCollection \ --attribute-definitions AttributeName=Artist,AttributeType=S AttributeName=SongTitle,AttributeType=S \ --key-schema AttributeName=Artist,KeyType=HASH AttributeName=SongTitle,KeyType=RANGE \ --provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5 \ --tags Key=Owner,Value=blueTeam
For more information, see Using DynamoDB with the AWS CLI in the AWS Command Line Interface User Guide.
AWS Cloud9
AWS Cloud9 is a cloud-based integrated development environment (IDE) that you can use to write, run, and debug your code in a browser window. The environment features a code editor, debugger, and terminal.
The following create-environment-ec2 command creates an AWS Cloud9 EC2 development environment
with the specified settings. It launches an Amazon EC2 instance, and then connects from the
instance to the environment.
aws cloud9 create-environment-ec2 --name my-demo-env --description "My demonstration development environment." --instance-type t2.micro --subnet-id subnet-1fab8aEX --automatic-stop-time-minutes 60 --owner-arn arn:aws:iam::123456789012:user/MyDemoUser
For more information, see AWS Cloud9 command-line reference
Amazon EC2
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure and resizable compute capacity in the cloud. It's designed to make web-scale cloud computing easier and more accessible.
The following run-instances command launches a t2.micro instance in the
specified subnet of a VPC:
aws ec2 run-instances --image-id ami-xxxxxxxx --count 1 --instance-type t2.micro --key-name MyKeyPair --security-group-ids sg-903004f8 --subnet-id subnet-6e7f829e
For more information, see Using Amazon EC2 with the AWS CLI in the AWS Command Line Interface User Guide.
S3 Glacier
S3 Glacier and S3 Glacier Deep Archive are a secure, durable, and extremely low-cost Amazon S3 cloud storage classes for data archiving and long-term backup.
The following create-vault command creates a vault—a container
for storing archives:
aws glacier create-vault --vault-name my-vault --account-id -
For more information, see Using Amazon S3 Glacier with the AWS CLI in the AWS Command Line Interface User Guide.
AWS Elastic Beanstalk CLI
The AWS Elastic Beanstalk CLI provides a command line interface made to simplify creating, updating, and monitoring environments from a local repository. In this context, an environment refers to a collection of AWS resources running an application version.
The following create command creates a new environment in a custom
Amazon Virtual Private Cloud (VPC).
$ eb create dev-vpc --vpc.id vpc-0ce8dd99 --vpc.elbsubnets subnet-b356d7c6,subnet-02f74b0c --vpc.ec2subnets subnet-0bb7f0cd,subnet-3b6697c1 --vpc.securitygroup sg-70cff265
For more information, see the EB CLI command reference in the AWS Elastic Beanstalk Developer Guide.
Amazon ECS CLI
The Amazon Elastic Container Service (Amazon ECS) command line interface (CLI) provides several high-level commands. These are designed to simplify the processes of creating, updating, and monitoring clusters and tasks from a local development environment. (An Amazon ECS cluster is a logical grouping of tasks or services.)
The following configure command configures the Amazon ECS CLI to create a
cluster configuration named ecs-cli-demo. This cluster configuration uses
FARGATE as the default launch type for the ecs-cli-demo
cluster in the us-east-1 region.
ecs-cli configure --region us-east-1 --cluster ecs-cli-demo --default-launch-type FARGATE --config-name ecs-cli-demo
For more information, see the Amazon ECS Command Line Reference in the Amazon Elastic Container Service Developer Guide.
AWS SAM CLI
AWS SAM CLI is a command line tool that operates on an AWS Serverless Application Model template and application code. You can perform several tasks using it. These include invoking Lambda functions locally, creating a deployment package for your serverless application, and deploying your serverless application to the AWS Cloud.
The following init command initializes a new SAM project with required
parameters passed as parameters:
sam init --runtime python3.7 --dependency-manager pip --app-template hello-world --name sam-app
For more information, see the AWS SAM CLI command reference in the AWS Serverless Application Model Developer Guide.
