AWS Well-Architected Framework: Performance Efficiency Pillar

AWS Well-Architected Framework: Performance Efficiency Pillar

1h 5mIntermediate2021-04-01

Authors

Mark Wilkins

Mark Wilkins

Author, Technical Trainer, AWS Cloud Expert

Course details

The AWS Well-Architected Framework includes strategies to help enterprise architects compare workloads against AWS-identified best practices. It is designed to help architects build secure, high-performing, resilient, and efficient infrastructure for their applications and comprises five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. In this course, Mark Wilkins takes an in-depth look at the fifth pillar, performance efficiency. Mark covers the different computing resources—including compute, storage, database, and network—and shows how to optimize performance for each. He also illustrates the importance of fine-tuning performance to maintain efficiency over time. This course is designed to work in conjunction with the remaining courses in the path, and while Mark covers some topics that were detailed in the other pillars, in this course he looks at these topics specifically from the viewpoint of efficiency.

Skills covered

Operations ManagementAmazon Web Services (AWS)AmazonCloud ServicesProject ManagementCloud PlatformsCloud ComputingBusiness Analysis and StrategyDeep Dive (X:Y)

Concepts

Introduction

  • The performance efficiency pillar
  • What you should know

Designing Performance Efficiencies

  • Design principals
  • Achieving performance efficiency at AWS
  • Compute performance efficiency
  • Demo Use AWS Compute Optimizer
  • Effective storage efficiencies
  • Demo Storage tuning
  • Designing for effective database performance efficiency
  • Demo Aurora Serverless deployment
  • Designing for effective Network performance efficiency
  • Demo Using a Quick Start reference deployment
  • Challenge Modify and test compute and storage speeds
  • Monitoring performance efficiency
  • Performance efficiency trade-offs
  • Demo Using the Well-Architected tool

Conclusion

  • Next steps
40,000 Toman