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Given that you have ruled out the possibility of using AWS Batch and Lambda does not meet your requirements in terms to total time for execution, there are 2 possible options:-
1 ECS Scheduled Tasks - This would require code to be containerized (docker)
2 Automate starting and stopping of EC2 instances - This solution helps reduce operational costs by stopping resources that are not in use and starting resources when their capacity is needed. Please refer to the below link for more information:- https://docs.aws.amazon.com/solutions/latest/instance-scheduler-on-aws/solution-overview.html
Without knowing more details about the job you're trying to run this is a difficult question to answer. However, a few things to think about:
If the task has to run on EC2, then why not use instance scheduler to run the instance and then shut it down when it is finished? That way you're not paying for the extra 23 hours a day.
An alternative might be to run the task in a container on Fargate and use EventBridge to schedule it.
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We run the job for report generation on existing data.
How Fargate works. How the billing will happen for Fragate. I am new to Fragate.
Fargate runs containers on demand; you pay for the resources consumed when the containers are running. https://aws.amazon.com/fargate/pricing/