A company runs its application in the eu-west-1 Region and has one account for each of its environments: development, testing, and production. All the environments are running 24 hours a day, 7 days a week by using stateful Amazon EC2 instances and Amazon RDS for MySQL databases. The databases are between 500 GB and 800 GB in size. The development team and testing team work on business days during business hours, but the production environment operates 24 hours a day, 7 days a week. The company wants to reduce costs. All resources are tagged with an environment tag with either development, testing, or production as the key. What should a solutions architect do to reduce costs with the LEAST operational effort?
Select one answer.
Marked answer: B
Community Discussion
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
Chose B1
B is the better option because it separates the stop and start logic into two EventBridge rules and two simple Lambda functions. This avoids having complex time-based logic inside a single Lambda (like you'd need in A). Even though A uses fewer components, it increases operational overhead by making the Lambda function more complicated to manage and test. With B, each function only does one thing (stop or start) based on tags, and it aligns better with AWS best practices for scheduled automation. Lower code complexity = less maintenance in the long run.
Chose B1
Stopping instances rather than terminating them ensures that the environment's state can be quickly restored the next day without needing to manage backups or restorations, making it operationally efficient.
1
B. Create an Amazon EventBridge rule that runs every business day in the evening. Configure the rule to invoke an AWS Lambda function that stops instances based on the tag. Create a second EventBridge rule that runs every business day in the morning. Configure the second rule lo invoke another Lambda function that starts instances based on the tag.
