Podcast
Questions and Answers
What is the primary purpose of Amazon AutoScaling?
What is the primary purpose of Amazon AutoScaling?
- To automatically scale EC2 capacity based on user-defined conditions (correct)
- To manually increase server capacity during peak times
- To provide fixed pricing for EC2 instances
- To create static EC2 instances regardless of workload
What is the role of the launch configuration in the AutoScaling process?
What is the role of the launch configuration in the AutoScaling process?
- It sets the pricing plan for EC2 instances
- It contains instructions on how to launch new instances (correct)
- It allocates storage for the EC2 instances
- It determines the maximum number of instances in an AutoScaling group
How is the scale up policy defined in AutoScaling?
How is the scale up policy defined in AutoScaling?
- By configuring a fixed number of instances to be added each time
- By setting a threshold for network bandwidth usage
- By setting adjustment type to IncreaseInstances and adjustment amount of 1
- By using adjustment type ChangeInCapacity with a scaling adjustment of 1 (correct)
What metric is used to define the scale up alarm in the AutoScaling example?
What metric is used to define the scale up alarm in the AutoScaling example?
What threshold must be met for the scale down alarm to trigger?
What threshold must be met for the scale down alarm to trigger?
In the AutoScaling process, which AWS service is primarily used to trigger scaling policies?
In the AutoScaling process, which AWS service is primarily used to trigger scaling policies?
What function is used to create a connection to the AutoScaling service?
What function is used to create a connection to the AutoScaling service?
Which of the following parameters is NOT included in the settings for an AutoScaling group?
Which of the following parameters is NOT included in the settings for an AutoScaling group?
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Study Notes
Amazon AutoScaling
- Amazon AutoScaling allows users to automatically scale Amazon EC2 capacity up or down based on predefined conditions.
- AutoScaling helps manage application performance by increasing the number of EC2 instances during workload spikes and reducing instances during low workloads to save costs.
- AutoScaling can be used for IoT applications and platforms deployed on Amazon EC2.
AutoScaling Implementation Example
- The text provides a Python code example for creating an AutoScaling group.
- The code establishes a connection to the AutoScaling service using
boto.ec2.autoscale.connect_to_region. - A launch configuration is created with details like AMI-ID, instance type, and security groups.
- An AutoScaling group is created with settings including maximum and minimum instances, launch configuration, availability zones, and an optional load balancer.
- Scaling policies are defined for both up and down scaling, using a
ChangeInCapacityadjustment type and a scaling adjustment value. - Amazon CloudWatch alarms trigger the scaling policies.
- The up-scaling alarm uses CPUUtilization metric with an average statistic and threshold of 70% for 60 seconds.
- The down-scaling alarm uses a similar structure, with a threshold of 50%.
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