Active Job is a framework for declaring jobs and making them run on a variety of queuing backends. In this post we’ll be setting up a worker environment on Elastic Beanstalk and using SQS as our Active Job queue.

We’ll be using the active-elastic-job to do the heavy lifting for us, so this post will be mostly focussed on the configuration to get this Gem working.

Our first port of call will be Simple Queue Service in our AWS account. We’ll need to create a new queue:

Create a new SQS Queue.

Now we have our queue we need to give our Elastic Beanstalk environments access to it. If we look at our existing environment we can see that it was created with an instance profile:

Instance Profile

In my case the profile is called aws-elasticbeanstalk-ec2-role. Make a note of this profile name and go to IAM users. Goto the roles tab and find the matching role. You now need to attach a policy to the role that allows access to SQS. In this demo we just use the SQS full access policy, but you may want to create a new policy that limits access to the queue you just created.

Instance Profile

The active-elastic-job needs to know which region we are running in so we need to add an AWS_REGION environment variable. For my region this will be eu-west-1 you may be running in a different environment so check what your region is called.

Instance Profile

We are now ready to create our worker environment. Goto your application and in the actions drop down click Create Environment

Instance Profile

For the environment tier - pick Worker environment:

Instance Profile

Make sure to pick Ruby as your Platform and then click Configure more options. On the next screen make sure to change the platform configuration to match your web server environment.

Instance Profile

Select Puma

Modify the Environment Settings to give your new environment a sensible name (e.g. demo-worker).

Modify the Sofware and copy across the following environment variables from your web env - DATABASE_URL (so we can connect to the database), SECRET_KEY_BASE (so we can encrypt and decrypt the same data) and AWS_REGION (so the active-elastic-job Gem knows which region we are in).

We also need to switch on processing of job in this environment. To do this we need to add PROCESS_ACTIVE_ELASTIC_JOBS and set it to true.

Check the Security to make sure the IAM instance profile matches the one we modified for SQS access.

And finally open the Network tab and select our VPC, choose our private subnets and the webserver security group (the webserver security group gives access to the PostgreSQL database).

You can now click Create Environment.

On the rails side we need to tell Active Job to use our active-elastic-job queue adapter. Add the active_elastic_job to our Gemfile and run bundle install. Now edit:

# config/environments/production.rb
config.active_job.queue_adapter = :active_elastic_job

In our Rails application create an Active Job by running

rails generate job capitalise_name

And in the code for our job set the queue_as property to the name of the queue we created e.g:

class CapitaliseNameJob < ApplicationJob
  queue_as :active_job_demo

  def perform(person)
    person.capitalized_name =!

And you can now add calls to this job in your code e.g:

CapitaliseNameJob.perform_later @person

Deploy the changes out to your web environment:

eb deploy --profile demo

And then deploy the same code out to your new worker environment:

eb use demo-worker --profile demo
eb deploy --profile demo

You can switch between different environments using (assuming your environments are name demo-web and demo-worker:

eb use demo-web --profile demo
eb use demo-worker --profile demo

Your ActiveJobs should now run successfully in your worker environment. If you have issues then check the elastic beanstalk logs on each environment:

eb use demo-web --profile demo
eb logs --profile demo
eb use demo-worker --profile demo
eb logs --profile demo
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Chris Greening




A collection of slightly mad projects, instructive/educational videos, and generally interesting stuff. Building projects around the Arduino and ESP32 platforms - we'll be exploring AI, Computer Vision, Audio, 3D Printing - it may get a bit eclectic...

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