AWS Auto Scaling Projects: Dynamic Resource Management, Application Performance Optimization, and Resilient Cloud Architecture
AWS Auto Scaling Projects: Dynamic Resource Management, Application Performance Optimization, and Resilient Cloud Architecture [Released: 1/28/2025]
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 13m | 330 MB
Instructor: Rick Crisci
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 13m | 330 MB
Instructor: Rick Crisci
Develop your AWS Auto Scaling skills in this hands-on interactive course designed for AWS beginners and intermediates as well as solutions architects and SysOps administrators.
Instructor Rick Crisci demonstrates the essentials of optimizing application performance, availability, and cost effectiveness in cloud environments. Find out how AWS Auto Scaling enables the automatic adjustment of compute resources based on demand, ensuring that your applications can efficiently handle a wide variety of workloads. Along the way, test out your new skills in the lab exercises to get practical experience configuring, testing, and fine-tuning Auto Scaling policies.
Learning objectives
- Create a launch template for configuring Auto Scaling groups.
- Set up an Auto Scaling Group to manage compute resources dynamically.
- Practice creating a simple Auto Scaling Group to understand core configuration steps.
- Configure target tracking and simple scaling policies for efficient resource management.
- Implement simple scaling policies to dynamically adjust resource capacity.
- Configure step scaling policies to handle workload increases in predefined steps.
- Configure predictive scaling to anticipate resource needs based on historical data.
- Apply step and predictive scaling policies to optimize resource allocation.
- Integrate Spot Instances into Auto Scaling Groups for cost-effective scaling strategies.
- Create target groups and load balancers to enhance application availability and scalability.
- Set up Network Load Balancer integration with Auto Scaling groups.
AWS Auto Scaling Projects: Dynamic Resource Management, Application Performance Optimization, and Resilient Cloud Architecture
