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AWS for Architects: Network and Storage Design

AWS for Architects: Network and Storage Design

2h 17mAdvanced2018-05-29

Authors

Lynn Langit

Lynn Langit

Cloud Architect

Course details

Discover how to properly scale applications on the Amazon ecosystem. This course shows IT pros how to use AWS network and data storage design scalability services, techniques, and tools. Throughout the course, instructor Lynn Langit covers scaling networks around server-based and serverless application architectures, as well as scaling files and data. Learn how to use migration tools such as Server Migration Service, explore scaling considerations for hybrid scenarios, and review how best to scale common architectures. This course can also prepare you for the Network Design domain in the AWS Certified Solutions Architect – Professional exam.

Learning objectives
Scalability in AWS application design
Scaling serverless vs. server-based applications
Scaling files
Storage design approaches
Design approaches to scaling data and data storage
Scaling SQL queries
Understanding Data Migration Service
Scaling applications

Skills covered

Cloud StorageAmazon Web Services (AWS)AmazonCloud ServicesCloud PlatformsCloud ComputingDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - Welcome
  • 02 - What you should know
  • 03 - About using cloud services

1. Scaling Networks

  • 04 - Scalability in AWS application design
  • 05 - AWS infrastructure and service limits
  • 06 - Scaling serverless vs. server-based applications
  • 07 - X-ray tracing for serverless apps
  • 08 - Scaling networks with VPCs and servers
  • 09 - Networks in hybrid scenarios

2. Scaling Files

  • 10 - Storage design approaches
  • 11 - Moving files to the cloud
  • 12 - Life cycle for file storage
  • 13 - Scaling files in a data lake
  • 14 - Scaling via a CDN or CloudFront
  • 15 - Scaling files in hybrid scenarios

3. Scaling Data

  • 16 - Data design approaches
  • 17 - Moving data to the cloud
  • 18 - Understanding Data Migration Service
  • 19 - Scaling SQL queries
  • 20 - Scaling data in a data warehouse
  • 21 - Data in hybrid scenarios

4. Scaling Applications

  • 22 - Application scaling patterns
  • 23 - Scale a serverless website
  • 24 - Scale a dynamic website
  • 25 - Scale an internal business application
  • 26 - Scale a big data pipeline
  • 27 - Scale an IoT and machine learning application

Conclusion

  • 28 - Next steps

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