This course enables learners to master AWS Auto Scaling through immersive hands-on labs, allowing them to dynamically adjust compute resources, optimize application performance, and excel in creating scalable, resilient cloud solutions. It is designed for cloud professionals seeking to develop their AWS Auto Scaling skills, and is essential for those aiming to optimize application performance, availability, and cost-effectiveness in cloud environments. AWS Auto Scaling facilitates the automatic adjustment of compute resources based on demand, ensuring applications efficiently handle varying workloads. A solid understanding of Auto Scaling is also crucial for designing resilient and dynamically scalable architectures.

Hands-on AWS Auto Scaling Labs: Essential Lab Exercises


位教师:Pearson
访问权限由 New York State Department of Labor 提供
您将学到什么
Create a Launch Template and set up Auto Scaling Groups to manage compute resources dynamically; practice core configuration steps.
Configure Target Tracking, Simple, Step, and Predictive Scaling policies for efficient and optimized resource management.
Integrate Spot Instances into Auto Scaling Groups to achieve and demonstrate cost-effective scaling strategies.
Create Target Groups and Load Balancers; set up Network Load Balancer integration to enhance availability and scalability.
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作业
5 项作业
授课语言:英语(English)
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September 2025
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