Using AWS CLI in Go: A complete guide

With the popularity and rapid growth of cloud services, cloud computing has become one of the most popular IT infrastructures today. AWS (Amazon Web Services) is one of the important players in the field of cloud computing. Its powerful functions and flexible usage are deeply loved by users. In this article, we will introduce how to use AWS CLI in Go language to better manage and deploy AWS resources.

What is AWS CLI?

AWS CLI is a command line tool used to interact with AWS services. It provides a consistent interface that allows users to easily manage and deploy AWS resources. Using the AWS CLI, users can perform various operations such as creating EC2 instances, managing S3 storage, creating Lambda functions, and more. AWS CLI supports multiple AWS accounts at the same time, allowing users to switch accounts to perform different operations.

Installing AWS CLI

To use AWS CLI in Go language, we first need to install it. The installation process of AWS CLI is very simple. You only need to execute the following command in the command line:

curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip awscliv2.zip
sudo ./aws/install

After the installation is completed, we can verify whether the AWS CLI has been successfully installed by executing the following command:

aws --version

Configure AWS CLI

After installing AWS CLI, the next step is to set up the configuration file. When using the AWS CLI in Go, you need to use the access credentials provided by AWS for authentication, which includes a key and access ID. These credentials can be obtained through the AWS console or you can use the IAM service to create a new user and provide them with access credentials.

Before configuring the AWS CLI, we need to create the default credentials file first. This file can be created by running the following command:

mkdir .aws
cd .aws
touch credentials

Edit the credentials file and add the following content:

[default]
aws_access_key_id = ACCESS_KEY
aws_secret_access_key = SECRET_KEY

where ACCESS_KEY and SECRET_KEY are both access credentials provided by AWS.

Using AWS CLI

After the installation and configuration are completed, we can start using AWS CLI to manage and deploy AWS resources. Here are some common AWS CLI commands:

• List all EC2 instances:

aws ec2 describe-instances

• Create an S3 bucket:

aws s3 mb s3://my-bucket

• Create ECS tasks based on container images:

aws ecs run-task --cluster my-cluster --task-definition my-task --network-configuration awsvpcConfiguration={subnets=[subnet-1234],securityGroups=[sg-5678]}

Use the AWS CLI to manage and deploy AWS resources through batch scripts. For example, you can write a script that automates the creation and deployment of EC2 instances and running Docker containers within those instances. The following is a simple script example:

#!/bin/bash

# Set AWS region
export AWS_DEFAULT_REGION=us-west-2

# Create EC2 instance
aws ec2 run-instances --image-id ami-0c55b159cbfafe1f0 --count 1 --instance-type t2.micro --key-name my-key-name --security-group-ids sg-0123456789abcdef0 --subnet-id subnet-0123456789abcdef0 > instance.json

# Get instance ID
instance_id=$(jq -r '.Instances[0].InstanceId' instance.json)

# Wait for instance to start
aws ec2 wait instance-running --instance-ids $instance_id

# Get instance IP
instance_ip=$(aws ec2 describe-instances --instance-ids $instance_id | jq -r '.Reservations[0].Instances[0].PublicIpAddress')

# SSH into instance and start Docker container
ssh -i my-key.pem ec2-user@$instance_ip 'docker run -d nginx'

Summary

The AWS CLI is a powerful tool that makes managing and deploying AWS resources in the Go language very simple and flexible. This article explains how to install and configure the AWS CLI and provides some common command and script examples. I hope this article will be helpful to readers who are learning Go language and AWS.

The above is the detailed content of Using AWS CLI in Go: A complete guide. For more information, please follow other related articles on the PHP Chinese website!