Bucketeer

This add-on is operated by C2 Industries

Use Amazon S3 from your Heroku application.

Bucketeer

Last updated August 04, 2023

Adding Amazon S3 to your Heroku application is painless and simple with Bucketeer.

S3 is file storage for the internet. Enjoy the centralized management and billing of Heroku while leveraging the power of one of Amazon’s most popular and dependable services.

Bucketeer manages your S3 credentials and account. You have immediate, full access to your bucket: the power of Amazon and the simplicity of Heroku.

Provisioning the add-on

Bucketeer can be attached to a Heroku application via the CLI:

A list of all plans available can be found here.

$ heroku addons:create bucketeer:hobbyist
-----> Adding test to sharp-mountain-4005... done, v18 ($5/mo)

Choosing a Bucket Name

Plans above hobbyist can configure the name of the bucket on provisioning by including a bucket-name parameter.

$ heroku addons:create bucketeer:standard --bucket-name mycompany.com
-----> Adding standard to sharp-mountain-4005... done, v18 ($125/mo)

This is useful if you’re planning on hosting files directly from your bucket and want more canonical URLs.

Choosing a Region

Plans above hobbyist can configure the region of the bucket on provisioning:

$ heroku addons:create bucketeer:standard --region us-west-2
-----> Adding standard to sharp-mountain-4005... done, v18 ($125/mo)

This is useful if you’re planning on hosting files in a different AWS region than your Heroku app.

App Config

Once Bucketeer has been added, the following settings will be available in the app configuration:

  • BUCKETEER_AWS_ACCESS_KEY_ID
  • BUCKETEER_AWS_SECRET_ACCESS_KEY
  • BUCKETEER_AWS_REGION
  • BUCKETEER_BUCKET_NAME

This can be confirmed using the heroku config command.

$ heroku config | grep BUCKETEER

After installing Bucketeer your application can interact with S3 using the IAM credentials provided to your application. This allows you to use any Amazon client, including the Amazon CLI, to interact with your bucket.

CORS Settings

Bucketeer credentials give you full access to modifying your bucket. This means that you can upload a new CORS policy at any time via an S3 client and the PUT Bucket CORS endpoint.

See example below.

Local setup

Environment setup

After provisioning the add-on it’s necessary to locally replicate the config vars so your development environment can operate against the service.

Use the Heroku Local command-line tool to configure, run and manage process types specified in your app’s Procfile. Heroku Local reads configuration variables from a .env file. To view all of your app’s config vars, type heroku config. Use the following command for each value that you want to add to your .env file.

$ heroku config:get BUCKETEER_AWS_ACCESS_KEY_ID -s >> .env
$ heroku config:get BUCKETEER_AWS_SECRET_ACCESS_KEY -s >> .env
$ heroku config:get BUCKETEER_BUCKET_NAME -s >> .env

Or in one go:

$ heroku config -s | grep BUCKETEER > .env

Credentials and other sensitive configuration values should not be committed to source-control. In Git exclude the .env file with: echo .env >> .gitignore.

For more information, see the Heroku Local article.

Service setup

There is nothing to set up after you have provisioned Bucketeer!

Using with the AWS CLI

The AWS CLI is a great way to interact with your bucket.

Once you’ve installed it, you can configure it with the Bucketeer settings in you app config or on your SSO page.

$ aws configure
AWS Access Key ID [None]: <BUCKETEER_AWS_ACCESS_KEY_ID>
AWS Secret Access Key [None]: <BUCKETEER_AWS_SECRET_ACCESS_KEY>
Default region name [None]: us-east-1
Default output format [None]:

Don’t forget to use your bucket’s s3 url when interacting with the aws s3 commands! s3://<your-bucket-name>

Uploading files

Use the aws s3 cp command with the bucket url to upload files. Anything uploaded with the public/ prefix is automatically available. Other files you will need to manually set an acl of public.

$ echo "<h1>hello, world</h1>" > hello.html
$ aws s3 cp hello.html s3://<BUCKETEER_BUCKET_NAME>/public/hello.html
upload: ./hello.html to s3://<BUCKETEER_BUCKET_NAME>/public/hello.html
$ curl  https://<BUCKETEER_BUCKET_NAME>.s3.amazonaws.com/public/hello.html
<h1>hello, world</h1>

Listing files

$ aws s3 ls s3://<BUCKETEER_BUCKET_NAME>
                           PRE public/
$ aws s3 ls s3://<BUCKETEER_BUCKET_NAME>/public/
2016-06-17 22:17:28         22 hello.html

Deleting files

$ aws s3 rm s3://<BUCKETEER_BUCKET_NAME>/public/hello.html

Updating Bucket Policy settings

AWS is deprecating ACLs in favor of bucket policies to control access. New buckets have policy and ACL changes disabled by default.

Run the following command to enable bucket policy and ACL changes:

aws s3api put-public-access-block --bucket <BUCKETEER_BUCKET_NAME> --public-access-block-configuration BlockPublicAcls=FALSE,IgnorePublicAcls=FALSE,BlockPublicPolicy=FALSE,RestrictPublicBuckets=FALSE

Private Space VPC Configuration

The following policy json will enable your bucket to only be accessible from within a Heroku Private Space.

Using the AWS VPC ID from the heroku spaces:peering:info command:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "VPCAllow",
      "Effect": "Allow",
      "Principal": "*",
      "Action": "s3:*",
      "Resource": "arn:aws:s3:::<BUCKETEER_BUCKET_NAME>/*",
      "Condition": {
        "StringEquals": {
          "aws:sourceVpc": "<AWS_VPC_ID>"
        }
      }
    }
  ]
}

Upload that file (policy.json) with:

$ aws s3api put-bucket-policy --bucket <BUCKETEER_BUCKET_NAME> --policy file://policy.json

Confirm the change via:

aws s3api get-bucket-policy --bucket <BUCKETEER_BUCKET_NAME> --query Policy --output text

This will restrict access to your bucket to only instances from within that VPC.

CORS settings

The AWS CLI can provide a convenient way for you to update your CORS configuration.

Note this command is in the s3api subcommand (not s3) and the bucket name is specified via the --bucket flag without the s3:// prefix.

Salesforce Configuration

The following json will enable your bucket to work with the SFDC dashboard:

{
    "CORSRules": [
        {
            "AllowedHeaders": [ "*" ],
            "ExposeHeaders": ["ETag", "x-amz-meta-custom-header"],
            "AllowedMethods": [
                "HEAD",
                "GET",
                "PUT",
                "POST",
                "DELETE"
            ],
            "AllowedOrigins": [
                "*"
            ]
        }
    ]
}

Upload that file with:

$ aws s3api put-bucket-cors --bucket <BUCKETEER_BUCKET_NAME>  --cors-configuration file://cors.json

Confirm the change via:

aws s3api get-bucket-cors --bucket <BUCKETEER_BUCKET_NAME> --output json

Note: you will eventually want to change the AllowedOrigins parameter to the url you will be accessing the bucket from.

Using with Ruby/Rails

Ruby on Rails applications will need to add the following entry into their Gemfile specifying the aws-sdk client library.

gem 'aws-sdk'

Update application dependencies with bundler.

$ bundle install

Configuring the S3 Client:

In config/initializers/aws.rb:

You can configure the Aws object globally:

Aws.config[:credentials] = Aws::Credentials.new(
  ENV['BUCKETEER_AWS_ACCESS_KEY_ID'],
  ENV['BUCKETEER_AWS_SECRET_ACCESS_KEY']
)
Aws.config[:region]      = 'us-east-1'

S3 = Aws::S3::Client.new

Every time you call Aws::S3::Client.new it will be ready to talk to S3 via Bucketeer.

Alternatively, you can configure the S3 client dynamically:

class S3
  def self.client
    creds  = Aws::Credentials.new(ENV['BUCKETEER_AWS_ACCESS_KEY_ID'], ENV['BUCKETEER_AWS_SECRET_ACCESS_KEY'])
    Aws::S3::Client.new(credentials: creds, region: 'us-east-1')
  end
end

This may be useful if you have multiple credentials or need to construct a client per-request.

See the S3 SDK for full reference.

Uploading Files

Once you have the client configured, you can start making requests.

Here we are storing a private object with the key hello and a value of `world’ to S3.

Aws::S3::Client.new.put_object(
  bucket: ENV['BUCKETEER_BUCKET_NAME'],
  key: 'hello',
  body: 'world',
)

Public files

Using the Public folder

Here we are storing a public object with the key public/index.html so we can serve our website directly from S3. Bucketeer comes preconfigured to make files that name objects with public/ after the bucket prefix publicly available.

key    = 'public/index.html'

Aws::S3::Client.new.put_object(
  bucket: ENV['BUCKETEER_BUCKET_NAME'],
  key: key,
  body: '<h1>Hello, world</h1>',
)

Using S3 ACLs

You can also just override the default visibility on a per-object basis:

Aws::S3::Client.new.put_object(
  bucket: ENV['BUCKETEER_BUCKET_NAME'],
  acl: 'public',
  key: 'hello',
  body: 'world',
)

Using with Node.js

Node.js applications will need to add the following entry into their package.json specifying the aws-sdk client library.

npm install aws-sdk --save

Update application dependencies with npm.

$ npm install

Configure the S3 Client:

Globally:

process.env.AWS_ACCESS_KEY_ID     = process.env.BUCKETEER_AWS_ACCESS_KEY_ID;
process.env.AWS_SECRET_ACCESS_KEY = process.env.BUCKETEER_AWS_SECRET_ACCESS_KEY;
process.env.AWS_REGION            = 'us-east-1';

var AWS = require('aws-sdk');
var s3  = new AWS.S3();

Or per-client:

var AWS = require('aws-sdk');

var s3  = new AWS.S3({
  accessKeyId: process.env.BUCKETEER_AWS_ACCESS_KEY_ID,
  secretAccessKey: process.env.BUCKETEER_AWS_SECRET_ACCESS_KEY,
  region: 'us-east-1',
});

And start making requests via the S3 SDK.

var params = {
  Key:    'hello',
  Bucket: process.env.BUCKETEER_BUCKET_NAME,
  Body:   new Buffer('Hello, node.js'),
};

s3.putObject(params, function put(err, data) {
  if (err) {
    console.log(err, err.stack);
    return;
  } else {
    console.log(data);
  }

  delete params.Body;
  s3.getObject(params, function put(err, data) {
    if (err) console.log(err, err.stack);
    else     console.log(data);

    console.log(data.Body.toString());
  });
});

Using with other Languages

To use Bucketeer with other languages, use the Amazon SDK for that language.

Dashboard

The Bucketeer dashboard allows you to view your current plan and bucket name.

The dashboard can be accessed via the CLI:

$ heroku addons:open bucketeer
Opening bucketeer for sharp-mountain-4005

or by visiting the Heroku Dashboard and selecting the application in question. Select Bucketeer from the Add-ons menu.

Troubleshooting

Use the AWS status page to confirm “Amazon Simple Storage Service” is working properly.

Migrating between plans

There is no down-time migrating between plans. Your data is always accessible when S3 is available.

Use the heroku addons:upgrade command to migrate to a new plan.

$ heroku addons:upgrade bucketeer:newplan
-----> Upgrading bucketeer:newplan to sharp-mountain-4005... done, v18 ($49/mo)
       Your plan has been updated to: bucketeer:newplan

Removing the add-on

Bucketeer can be removed via the CLI.

This will destroy all associated data and cannot be undone!

$ heroku addons:destroy bucketeer:test
-----> Removing bucketeer:test from sharp-mountain-4005... done, v20 (free)

Before removing Bucketeer a data export can be performed by using your S3 client to download your data.

Support

All Bucketeer support and runtime issues should be submitted via one of the Heroku Support channels. Any non-support related issues or product feedback is welcome at bucketeer@c2industries.com.

Further Reading

  • Bucketeer Examples Code examples of configuration and interacting with S3 from Ruby and Node.js.
  • Uploads to S3 from Heroku Examples of uploading files to S3 in multiple languages.
  • CORs Uploads to S3 from Rails. This technique allows you to bypass uploading files to your rails servers, which then have to upload to S3. Instead, you can upload to S3 directly from the browser. Although the server-side code is Rails, the Javascript technique is portable.

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