AWS Certified Foundational CLF-C02 Passing Score

AWS CloudFormation is a service that allows you to model and provision your AWS resources using templates. You can define your infrastructure as code and automate the creation and update of your resources. AWS CloudFormation also supports nested stacks, change sets, and rollback features to help you manage complex and dynamic environments34. References:

AWS CloudFormation

AWS Certified Cloud Practitioner Exam Guide

Understanding AWS Compute Optimizer: AWS Compute Optimizer is a service that analyzes the configuration and utilization metrics of your AWS resources. It provides recommendations to help you select the optimal configurations for your workloads.

Why AWS Compute Optimizer for Rightsizing:

Resource Recommendations: It provides specific recommendations to rightsize your EC2 instances by suggesting instance types that match your actual usage patterns.

Cost Efficiency: By optimizing instance sizes, you can reduce costs associated with over-provisioned resources.

Performance Improvement: Ensures that you are using instances that provide the required performance without over-allocating resources.

How to Implement AWS Compute Optimizer:

Enable AWS Compute Optimizer: In the AWS Management Console, navigate to AWS Compute Optimizer and enable it for your account.

Review Recommendations: After a period of monitoring, review the recommendations provided for your EC2 instances.

Implement Changes: Follow the suggestions to resize or change instance types based on the recommendations, ensuring you balance cost savings with performance needs.

AWS Compute Optimizer

Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora PostgreSQL-Compatible Edition. It is a fully managed service that automatically scales up and down based on the application’s actual needs. Amazon Aurora Serverless is suitable for applications that have infrequent, intermittent, or unpredictable database workloads, and that do not require the full power and range of options provided by provisioned Aurora clusters. Amazon Aurora Serverless eliminates the need to provision and manage database instances, and reduces the management overhead associated with database administration tasks such as scaling, patching, backup, and recovery. References: Amazon Aurora Serverless, Choosing between Aurora Serverless and provisioned Aurora DB clusters, [AWS Cloud Practitioner Essentials: Module 4 - Databases in the Cloud]

Amazon EC2 Auto Scaling is a service that helps you maintain application availability and allows you to automatically add or remove EC2 instances according to definable conditions. You can create collections of EC2 instances, called Auto Scaling groups, and specify the minimum and maximum number of instances in each group. You can also define scaling policies that adjust the number of instances based on the demand on your application. Amazon EC2 Auto Scaling helps you improve the performance, reliability, and cost-efficiency of your EC2workloads123. References: 1: VDI Desktops - Amazon WorkSpaces Family - AWS, 2: What is Amazon EC2 Auto Scaling? - Amazon EC2 Auto Scaling, 3: Discover Amazon EC2 Auto Scaling Unit | Salesforce Trailhead