AWS Advanced CLR LRG
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AWS Well-Architected Best Practices

The Well-Architected Framework enables you to make informed decisions about your customers architectures in a cloud-native way and understand the impact of design decisions that are made. By using...

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$730 USD GSA  $578.09
Course Code AWS-WELLARCH
Duration 1 day
Available Formats Classroom

The Well-Architected Framework enables you to make informed decisions about your customers architectures in a cloud-native way and understand the impact of design decisions that are made. By using the Well-Architected Framework, you will understand the risks in your architecture and ways to mitigate them. This course is designed to provide a deep dive into the AWS Well-Architected Framework and its 5 pillars. This course also covers the Well-Architected Review process, and using the AWS Well-Architected Tool to complete reviews.

Skills Gained

  • Identify the Well-Architected Framework features, design principles, design pillars, and common uses
  • Apply the design principles, key services, and best practices for each pillar of the Well-Architected Framework
  • Use the Well-Architected Tool to conduct Well-Architected Reviews

Who Can Benefit

Technical professionals involved in architecting, building, and operating AWS solutions.

Prerequisites

  • Knowledge of core AWS services (Course: AWS Cloud Practitioner Essentials classroom or digital training)
  • Knowledge of AWS management interfaces (Course: AWS Technical Essentials classroom or digital training)
  • Knowledge of core AWS design and architecture (Course: Architecting on AWS)

Course Details

Course Outline

Module 1: Well-Architected Introduction

  • History of Well-Architected
  • Goals of Well-Architected
  • What is the AWS Well-Architected Framework?
  • The AWS Well-Architected Tool

Module 2: Design Principles

  • Operational Excellence
  • Lab 1: Operational Excellence
  • Reliability
  • Lab 2: Reliability
  • Security
  • Lab 3: Security
  • Performance Efficiency
  • Lab 4: Performance Efficiency
  • Cost Optimization
  • Lab 5: Cost Optimization