AWSCFMB
AWS Cloud Financial Management for Builders
This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS. You learn how to implement architectural best practices, explore cost optimization strategies, and design patterns to help you architect cost-efficient solutions on AWS.
What you will learn
- Explain the cost of core AWS services
- Determine and predict costs associated with current and future cloud workloads
- Use strategies and best practices to reduce AWS costs
- Use AWS tools to manage, monitor, alert, and optimize your AWS spend
- Apply strategies to monitor service costs and usage
- Implement governance standards, including resource tagging, account structure, provisioning, permissions, and access
Prerequisites
- Architecting on AWS classroom training
Target audience
- Solutions architects, Developers, Cost-optimization leads, System administrators
Training Program
11 modules to master the fundamentals
Topics covered
- →Course introduction
Topics covered
- →Introduction to Cloud Financial Management
- →Four pillars of Cloud Financial Management
Topics covered
- →Tagging resources
- →Hands-On Lab: Cost optimization: Control Resource Consumption Using Tagging and AWS Config
Topics covered
- →Fundamentals of pricing
- →AWS Free Tier
- →Volume discounts
- →Savings plans and Reserved Instances
- →Demonstration: AWS Pricing Calculator
Topics covered
- →Understanding AWS invoices
- →Reporting and planning
- →AWS Cost Explorer
- →AWS Budgets
- →Demonstration: AWS Billing Console
- →Demonstration: AWS Cost Explorer
- →Demonstration: Trusted Advisor
- →Hands-On Lab: Cost optimization: Deploy Ephemeral Environments Using Amazon EC2 Auto Scaling
Topics covered
- →Evolution of compute efficiency
- →Amazon EC2 right-sizing
- →Purchasing options
- →Architect for Amazon EC2 Spot Instance
- →Impact of software licensing
- →Demonstration: Compute Optimizer
- →Demonstration: Spot Instance Advisor
- →Hands-On Lab: Cost optimization: Right Size Amazon EC2 Instances Using Amazon CloudWatch Metrics
Topics covered
- →Data transfer costs
- →Understand data costs for different services
- →How to triage network costs
- →Hands-On Lab: Cost optimization: Reduce Data Transfer Costs Using Amazon CloudFront and Endpoints
Topics covered
- →Amazon EBS cost, pricing, and best practices
- →Amazon S3 cost, pricing, and best practices
- →Amazon EFS cost, pricing, and best practices
- →Hands-On Lab: Cost optimization: Reduce Storage Costs Using Amazon S3 Lifecycle Management
Topics covered
- →Amazon RDS cost, pricing, and best practices
- →Amazon Aurora cost, pricing, and best practices
- →Amazon DynamoDB cost, pricing, and best practices
- →Amazon ElastiCache cost, pricing, and best practices
- →Amazon Redshift cost, pricing, and best practices
Topics covered
- →Setting up AWS Organizations
- →AWS Systems Manager
- →Hands-On Lab: Cost optimization: Reduce Compute Costs Using AWS Instance Scheduler
Topics covered
- →Course review
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
Teaching Methods Used
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
Evaluation and Monitoring System
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote