S3 bucket is an Object storage service and it's very lowest cost storage option in AWS Cloud. This can be used from the small to big industry-leading data availability, scalability, security, and performance store the data. This post can walk through you how do we mount a S3 bucket object storage in an EC2 instance which running with Ubuntu Operating system. We can an option now, using S3FS package able to do that. the S3FS is a FUSE based file system backed by Amazon S3.

Create an EC2:


Create a new EC2 instance on AWS Cloud with Ubuntu 18.04 or Ubuntu 20.04 version and log in to your istance.

Install Required Packages:


Login to your EC2 instance and Install the required dependencies using the commands below,


​$ sudo apt-get update && apt-get install awscli 

$ sudo apt-get install automake autotools-dev fuse g++ git libcurl4-gnutls-dev libfuse-dev libssl-dev libxml2-dev make pkg-config 

Download and Install s3fs:


Once you have installed the required packages then clone/download the source code from the GitHub and run the script for compiling the package by the commands below,


$ git clone https://github.com/s3fs-fuse/s3fs-fuse.git 

$ cd s3fs-fuse 

$ ./autogen.sh 

$ ./configure 

$ make 

$ sudo make install 


Find out the s3fs package on your instance by the command below,

$ which s3fs 

Create S3 Bucket:


Create a new S3 bucket on AWS Cloud with set of permission as your required.
 

Configure Security Credentials:


Create an IAM User account from IAM AWS Cloud resource with necessary IAM policies to the user and generate a Access Key and Secret key.

Before you configure the Security Credentials on your EC2 instance, have to install the AWS-CLI package. We have just few steps available below,


Install AWSCLI:


Install the awscli package using the apt command. First, update the packages from the repository and install it by the commands below with -y option,


​$ apt-get update

$ sudo apt-get install awscli -y

or
$ sudo snap install aws-cli


Check the awscli version,

$ aws --version
aws-cli/1.18.69 Python/3.8.10 Linux/5.4.0-88-generic botocore/1.16.19

Note: Seems to be the above one is old version you can download the latest version 2

​$ aws configure

AWS Access Key ID [None]: AccessKey
AWS Secret Access Key [None]: SecretKey
Default region name [None]: us-west-2 
Default output format [None]: json


You will see the aws credentials details using the command below,

$ cat ~/.aws/credentials 


[default]
aws_access_key_id = AccessKey
aws_secret_access_key = SecretKey

$ cat ~/.aws/config 

[default]
region = us-west-2
output = json


Note: Replace the Accesskey, Secretkey and change the region and output (json/text) format as your wish.

The, make sure that are you able to access the S3 buckets from your EC2 instance by aws command with the option "s3 ls"

​$ aws s3 ls


Create a file for storing your IAM user credentials to connect with your S3 bucket and to secure the transfer of our object to the S3 bucket.

$ echo ACCESS_KEY_ID:SECRET_ACCESS_KEY > /home/user/.passwd-s3fs 

Configure Mount:


Create a new directory which you need to mount our s3fs agent,

$ sudo mkdir -p /s3-mount/ 


Execute the command below to mount S3 bccket to the Directory which you have created.

$ sudo s3fs    /s3-mount -o passwd_file=/home/user/.passwd-s3fs


Then check your file system to see if it mounts correctly, using the command below. 


$ cd /s3-mount

$ echo "First file stores to S3 bucket" > testfile.txt && cat testfile.txt