What is the MOST time-efficient and integrated way to achieve this?
Create an Amazon SQS queue and send the tasks that should be decoupled from the Elastic Beanstalk web server environment to the SQS queue. Create a fleet of EC2 instances under an Auto Scaling group. Use an AMI that contains the application to process the asynchronous tasks, configure the application to listen for messages within the SQS queue, and create periodic tasks by placing those into the cron in the operating system. Create an environment variable within the Elastic Beanstalk environment with a value pointing to the SQS queue endpoint.
Create a second Elastic Beanstalk worker tier environment and deploy the application to process the asynchronous tasks there. Send the tasks that should be decoupled from the original Elastic Beanstalk web server environment to the auto-generated Amazon SQS queue by the Elastic Beanstalk worker environment. Place a cron.yaml file within the root of the application source bundle for the worker environment for periodic tasks. Use environment links to link the web server environment with the worker environment.
Create a second Elastic Beanstalk web server tier environment and deploy the application to process the asynchronous tasks. Send the tasks that should be decoupled from the original Elastic Beanstalk web server to the auto-generated Amazon SQS queue by the second Elastic Beanstalk web server tier environment. Place a cron.yaml file within the root of the application source bundle for the second web server tier environment with the necessary periodic tasks. Use environment links to link both web server environments.
Create an Amazon SQS queue and send the tasks that should be decoupled from the Elastic Beanstalk web server environment to the SQS queue. Create a fleet of EC2 instances under an Auto Scaling group. Install and configure the application to listen for messages within the SQS queue from UserData and create periodic tasks by placing those into the cron in the operating system. Create an environment variable within the Elastic Beanstalk web server environment with a value pointing to the SQS queue endpoint.
Explanations:
This option suggests creating a fleet of EC2 instances with an Auto Scaling group, which is more complex and doesn’t integrate as seamlessly with Elastic Beanstalk. It requires manual configuration of the application to listen to the SQS queue and handle periodic tasks via cron. This approach lacks the integration and scalability benefits provided by Elastic Beanstalk worker tiers.
This option suggests creating a second Elastic Beanstalk worker tier environment, which is the most integrated and time-efficient solution. Elastic Beanstalk handles the infrastructure management, scalability, and integration with the SQS queue, making it easier to process asynchronous tasks. The use of environment links between the web server and worker environments ensures a clean decoupling.
This option suggests creating a second web server tier environment, but this is unnecessary for processing asynchronous tasks. Web server environments are meant for handling HTTP requests, not background tasks. This approach is not ideal for decoupling long-running or periodic tasks, as web servers are not designed for such purposes.
This option also suggests creating a fleet of EC2 instances and manually configuring them to listen for SQS messages, similar to Option A. It lacks the Elastic Beanstalk integration provided in Option B, which would simplify management and scalability. The manual setup is more error-prone and requires more operational overhead.
I classify that the answer is:
Create a second Elastic Beanstalk worker tier environment and deploy the application to process the asynchronous tasks there. Send the tasks that should be decoupled from the original Elastic Beanstalk web server environment to the auto-generated Amazon SQS queue by the Elastic Beanstalk worker environment. Place a cron.yaml file within the root of the application source bundle for the worker environment for periodic tasks. Use environment links to link the web server environment with the worker environment.