Q: How do I schedule my instances?
A: First, you define schedules in the solution's configuration Amazon DynamoDB table. Then, you tag applicable Amazon EC2 and Amazon RDS instances with the name of the applicable schedule.
Q: What default start and stop times does the Instance Scheduler use?
A: You define a schedule that contains running periods that define the start and stop times for instances. If you specify a start time only, the instance must be stopped manually. Similarly, if you specify a stop time only, the instance must be started manually. You can also choose to run instances during specific days of the week, days of the month, or months of the year. For more information, refer to the implementation guide.
Q: Can I create multiple start-stop schedules for a single instance?
A: Yes. Each schedule can contain multiple periods. When more than one period is used in a schedule, the Instance Scheduler will apply the appropriate start action when at least one of the period rules is true. For more information, refer to the implementation guide.
Q: At what interval(s) can the Instance Scheduler start and stop my instances?
A: By default, the AWS Lambda function evaluates the schedules (in the Amazon DynamoDB) and checks if the instances tagged to a schedule should be started/stopped. If the schedule state is different from the previous state (which are also stored in Amazon DynamoDB), the AWS Lambda function will start the automation runbook. You can change the default interval for how often the AWS Lambda function should evaluate the schedules. The default interval is 5 minutes.
Q: Do I configure start and stop times in my local time zone?
A: During initial configuration, you specify a default time zone that is used for all instances you schedule with the solution. You can also define a time zone for an individual schedule that is used only for instances that use that schedule.
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Introduction to Amazon Elastic Compute Cloud (EC2)
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This exam validates your ability to effectively demonstrate knowledge of how to architect and deploy secure and robust applications on AWS technologies.
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