This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey.
AWS Graviton Processors are custom designed server processors developed by AWS to provide the best price performance for cloud workloads running on Amazon EC2. It uses the Arm (or arm64) instruction set. Utilize AWS Graviton to optimize workloads, reduce costs, and enhance scalability.
In this course, you will explore various scenarios where AWS Graviton can provide significant advantages and learn how to leverage performance metrics and baselining methodologies for optimization. Through practical examples and best practices, you will gain the ability to develop effective optimization strategies and navigate common implementation pitfalls with ease. Additionally, the course will guide you on optimizing .NET Core applications and Windows workloads on Graviton.
- Course level: Intermediate
- Duration: 40 minutes
Course objectives
In this course, you will learn to:
- Identify and analyze various optimization scenarios
- Determine and address performance bottlenecks using analysis tools and metrics
- Implement and optimize .NET Core applications and Windows workloads on Graviton
Intended Audience:
This course is intended for:
- Developers
- Cloud Architects
- Cloud Operators
- DevOps Engineers
- Platform Engineers
Prerequisites
- AWS Graviton Processors Fundamentals and Migrating to AWS Graviton or equivalent experience.
Course outline
- Module 1: Discover Key Optimization Opportunities
- Module 2: Performance Metrics and Analysis Tools Overview
- Module 3: How to Test and Baseline Your Application's Performance?
- Module 4: Common Issues and Best Practices
- Module 5: Windows Workloads and .NET Core on Graviton
