What design will meet these requirements?
Set up a Linux EC2 Micro instance. Configure an IAM role to allow the start and stop of the Elastic Beanstalk environment and attach it to the instance. Create scripts on the instance to start and stop the Elastic Beanstalk environment. Configure cron jobs on the instance to execute the scripts.
Develop AWS Lambda functions to start and stop the Elastic Beanstalk environment. Configure a Lambda execution role granting Elastic Beanstalk environment start/stop permissions, and assign the role to the Lambda functions. Configure cron expression Amazon CloudWatch Events rules to trigger the Lambda functions.
Develop an AWS Step Functions state machine with ג€waitג€ as its type to control the start and stop time. Use the activity task to start and stop the Elastic Beanstalk environment. Create a role for Step Functions to allow it to start and stop the Elastic Beanstalk environment. Invoke Step Functions daily.
Configure a time-based Auto Scaling group. In the morning, have the Auto Scaling group scale up an Amazon EC2 instance and put the Elastic Beanstalk environment start command in the EC2 instance user data. At the end of the day, scale down the instance number to 0 to terminate the EC2 instance.
Explanations:
This option involves setting up an EC2 instance with scripts and cron jobs to manage the Elastic Beanstalk environment, leading to higher operational overhead. It requires managing the EC2 instance and ensuring that the scripts are correctly configured and maintained, which adds complexity and may not be cost-effective.
This option utilizes AWS Lambda functions to start and stop the Elastic Beanstalk environment based on CloudWatch Events rules. It is serverless, minimizing operational overhead and cost, as Lambda functions only incur charges during execution. It provides a scalable and automated solution that can handle multiple teams easily.
While AWS Step Functions can orchestrate workflows, it is more complex and may introduce unnecessary overhead for this specific task. Using Step Functions for simple start/stop operations is over-engineering, and it may incur additional costs and management complexity without providing significant benefits over simpler solutions like Lambda.
This option involves using an Auto Scaling group, which is more complex than necessary for the task. It requires managing an Auto Scaling configuration and could lead to increased costs and operational overhead. The use of EC2 instances and scaling actions is not as efficient as serverless solutions like AWS Lambda for scheduling tasks.
I opine that the answer is:
Develop AWS Lambda functions to start and stop the Elastic Beanstalk environment. Configure a Lambda execution role granting Elastic Beanstalk environment start/stop permissions, and assign the role to the Lambda functions. Configure cron expression Amazon CloudWatch Events rules to trigger the Lambda functions.
I gauge that the answer is:
Develop AWS Lambda functions to start and stop the Elastic Beanstalk environment. Configure a Lambda execution role granting Elastic Beanstalk environment start/stop permissions, and assign the role to the Lambda functions. Configure cron expression Amazon CloudWatch Events rules to trigger the Lambda functions.