Hands-on AWS Auto Scaling Labs: Essential Lab Exercises
By External Provider
About this course
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 lab exercises form the core of this course, providing practical experience in configuring, testing, and fine-tuning Auto Scaling policies. Detailed lab manuals and video demonstrations guide learners through dynamic labs, empowering them to confidently implement and optimize AWS Auto Scaling solutions.
What you will learn
- 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.