How to mount Amazon S3 bucket with Goofys?

While experimenting with s3fs I have also found out another tool written in go programming language that named Goofys. Like s3fs, this tool can also mount Amazon S3 bucket as a folder that can later be accessed just like any other local folder making accessing files in S3 bucket, backing up data or syncing files quite easy. Detailed installation manual for Goofys covers only Mac while Linux installation guide is basically non-existing, so this will be my guide on how to install Goofys and mount Amazon S3 bucket on an Ubuntu Linux. This has been tested on DigitalOcean droplet running a Ubuntu version 16.04.3 x64. If you’re also testing this out on a new VPS like me – make sure to execute apt-get update  before you start.

But why would anyone want to use Goofys if s3fs is working fine? Well, according to benchmarks available at Goofys github main reason you would like to use this is performance! Goofys is much faster than s3fs. For some operations Goofys is ten times faster than s3fs making it the right choice for situations when you need access to S3 to be really fast (or as close as it being just a folder on the same drive).

How to install Go language on Ubuntu Linux?

As mentioned above Goofy is written in GO so we need to install GO in order to use Goofy. Installing go requires you to download the latest version from unpack it:

# Download Go language binary
# Unpack the downloaded fole to /usr/local
tar -C /usr/local -xvzf go1.9.3.linux-amd64.tar.gz

# Remove the archive
rm go1.9.3.linux-amd64.tar.gz

# Create the Go language work directories
mkdir -p /go/projects/goofys/{bin,pkg,src}

No create this file at /etc/profile.d path

vi /etc/profile.d/

copy paste the line below, save the changes and exit:

export PATH=$PATH:/usr/local/go/bin


Now edit ~/.bash_profile file:

vi .bash_profile

and copy paste these two lines, save and close:

export GOBIN=/go/projects/goofys/bin/
export GOPATH=/go/projects/goofys/

To apply these changes to your current bash session source both scripts

source /etc/profile && source ~/.bash_profile


How to install AWS CLI on Ubuntu Linux?

AWS CLI is required by Goofy and installation is pretty straight forward:

apt-get install awscli

How to install Gooofy on Ubuntu Linux?

Once Go language is installed correctly, installing Goofy is quite simple. All you need to do is simply execute these two commands:

go get
go install

At this point Goofy should be installed and in order to use it we need to save


Setting up Amazon S3 credentials

To allow AWS CLI to access your S3 buckets create store credentials at this file:

# Make the hidden folder that holds the AWS credentials file

mkdir ~/.aws


# Create and start editing the credentials file

vi ~/.aws/credentials

In the following format:


Don’t forget to copy/paste your actual AWS access and secret keys above. Save and exit once you’re done.


Check if AWS S3 is working

To verify if the credentials are right and that you have entered them correctly, list all the buckets using:

aws s3 ls

The response should show the list of available buckets.

For this test I have created a new bucket called GeekTnT


Mounting a Amazon S3 bucket  with Gooofy

Now let’s create a folder where we will mount our bucket. For the purpose of this post we’ll create a folder /backup and we’ll mount GeekTnT bucket on it.

# Creates a backup folder
mkdir /backup


# Mount a bucket to a /backup folder
/go/projects/goofys/bin/goofys GeekTnT /backup

And the final result is that now we have an s3 bucket mounted to our /backup folder with basically unlimited disk space (1PB) that we can use to store data or backups.

Unmounting the S3 bucket is simple. Just execute:

umount /backup


Checking if it actually works

Everything seems fine – but does it work. To test that out I’ll create a file in /backup folder and since this is a new DigitalOcean droplet and I have no bigger files that I can copy, I’ll download a Go language installation file directly into /backup folder.


If everything works these should automatically be available inside Amazon’s console.

… and there it goes.

It works!

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