ExamGecko
Question list
Search
Search

List of questions

Search

Related questions











Question 492 - SAA-C03 discussion

Report
Export

A company runs container applications by using Amazon Elastic Kubernetes Service (Amazon EKS) and the Kubernetes Horizontal Pod Autoscaler. The workload is not consistent throughout the day. A solutions architect notices that the number of nodes does not automatically scale out when the existing nodes have reached maximum capacity in the cluster, which causes performance issues

Which solution will resolve this issue with the LEAST administrative overhead?

A.
Scale out the nodes by tracking the memory usage
Answers
A.
Scale out the nodes by tracking the memory usage
B.
Use the Kubernetes Cluster Autoscaler to manage the number of nodes in the cluster.
Answers
B.
Use the Kubernetes Cluster Autoscaler to manage the number of nodes in the cluster.
C.
Use an AWS Lambda function to resize the EKS cluster automatically.
Answers
C.
Use an AWS Lambda function to resize the EKS cluster automatically.
D.
Use an Amazon EC2 Auto Scaling group to distribute the workload.
Answers
D.
Use an Amazon EC2 Auto Scaling group to distribute the workload.
Suggested answer: B

Explanation:

The Kubernetes Cluster Autoscaler is a component that automatically adjusts the number of nodes in your cluster when pods fail or are rescheduled onto other nodes.It uses Auto Scaling groups to scale up or down the nodes according to the demand and capacity of your cluster1.

By using the Kubernetes Cluster Autoscaler in your Amazon EKS cluster, you can achieve the following benefits:

You can improve the performance and availability of your container applications by ensuring that there are enough nodes to run your pods and that there are no idle nodes wasting resources.

You can reduce the administrative overhead of managing your cluster size manually or using custom scripts. The Cluster Autoscaler handles the scaling decisions and actions for you based on the metrics and events from your cluster.

You can leverage the integration of Amazon EKS and AWS Auto Scaling to optimize the cost and efficiency of your cluster.You can use features such as launch templates, mixed instances policies, and spot instances to customize your node configuration and save up to 90% on compute costs2

asked 16/09/2024
Khuong Tang
31 questions
User
Your answer:
0 comments
Sorted by

Leave a comment first