**Auto Scaling** in AWS is a feature that **dynamically adjusts** the number of EC2 instances in response to application demand, ensuring **high availability** and **cost-effectiveness**.



### Setting Up Auto Scaling Groups

To set up an Auto Scaling group, you need to define a **Launch Configuration/Template**, which serves as the blueprint for instances, including instance type and AMI.

Additionally, you must specify **Capacity Settings** to determine the minimum, maximum, and desired number of instances. The group will automatically scale within these limits based on defined policies.



### Scaling Policies

**Simple Scaling** operates based on a single CloudWatch alarm, often incorporating a cooldown period to avoid rapid fluctuations.

**Step Scaling** adjusts the number of instances according to the alarm's severity, allowing for more precise scaling.

**Target Tracking Scaling** continuously adjusts instances to maintain a target metric, like CPU utilization, ensuring stable performance.



### Monitoring and Management

**AWS CloudWatch** provides metrics for monitoring Auto Scaling groups and can trigger alarms that initiate scaling actions.

**Historical Data Analysis** allows you to use past scaling activities to fine-tune policies, adjusting thresholds or cooldown periods for better performance and cost management.



### Key Takeaways

- Auto Scaling groups dynamically manage EC2 instance counts for optimal application performance and cost.
- Different scaling policies cater to varied scaling needs, from simple thresholds to sophisticated tracking.
- Continuous monitoring via CloudWatch and analysis of scaling history are crucial for refining scaling strategies.

What is the primary purpose of Auto Scaling in AWS?

Which scaling policy adjusts the number of instances in response to changes in a target metric, such as CPU utilization?

What is a benefit of monitoring Auto Scaling activities with AWS CloudWatch?

When creating an Auto Scaling group, what is defined in the launch configuration or launch template?

This course is designed to help you master the skills required to become an AWS Certified Solutions Architect – Associate. You'll gain a deep understanding of AWS services, architecture best practices, and real-world cloud solutions. Through hands-on exercises and detailed explanations, you'll learn how to design scalable, cost-efficient, and secure applications on AWS.

This section introduces core AWS concepts, including cloud computing principles, global infrastructure, and key services. You'll explore AWS pricing models, support plans, and the Well-Architected Framework to build secure and cost-efficient solutions.

This section explores AWS compute services, focusing on EC2, Lambda, and Elastic Beanstalk. You'll learn how to deploy and manage virtual servers, scale workloads with Auto Scaling and ELB, and run serverless applications.

This section covers AWS storage solutions, including Amazon S3, EBS, EFS, and Glacier, helping you understand how to store, secure, and retrieve data efficiently. You'll explore storage performance, security, and data transfer acceleration for optimal cloud storage management.

This section covers AWS networking and security best practices, focusing on Amazon VPC, Direct Connect, VPN, and IAM security controls. You'll learn how to configure secure and scalable networks, manage user access, and implement IAM roles and policies.

This section explores AWS database and monitoring services, covering Amazon RDS, Aurora, DynamoDB, Redshift, and ElastiCache for managing structured and unstructured data efficiently. You'll also learn how to monitor and secure your cloud environment using AWS CloudWatch and CloudTrail.

AWS Solutions Architect Associate

Auto Scaling

AWS Solutions Architect Associate

Auto Scaling