Cloud Architecture: Advanced Concepts

Cloud Architecture: Advanced Concepts

2h 29mAdvanced2025-04-04

Authors

Lee Atchison

Lee Atchison

Cloud Strategist, Thought Leader, Industry Cloud Expert

Course details

Join instructor Lee Atchison as he covers the business and tech-related basics of orchestrating and managing an effective cloud architecture. Learn about the various types of cloud platforms and architecture types, as well as how to determine which option will work best for you. Explore service and microservice architectures, data management tools, edge and serverless computing, AI, sustainability, and cloud security as you build out your infrastructure. Along the way, Lee shows you how to successfully incorporate automation and management practices into your architecture strategy so that you can create a more efficient work environment for software development.

Skills covered

Software ArchitectureCloud FoundationsCloud DevelopmentCloud ComputingSoftware DevelopmentDeep Dive (X:Y)

Concepts

Introduction

  • Orchestrating your cloud architecture
  • Course audience
  • Intricacies of cloud architecture

Cloud Types and Structures

  • Public, private, and hybrid cloud
  • Multicloud and polycloud
  • Selecting the right cloud type

Microservices

  • Understanding microservices
  • Why use microservices
  • Types of services
  • Running microservices in the cloud

Data and Data Management

  • Data storage in the cloud
  • Data across services
  • Selecting the right data model

Serverless Computing

  • Advantages of serverless computing
  • Disadvantages of serverless computing
  • Serverless computing and your applications

Cloud Security

  • Cloud vs. on-premises security
  • Leveraging cloud provider expertise
  • Security zones
  • Identity and permissions in the cloud

Constructing a Cloud Infrastructure

  • Dynamic infrastructures
  • Infrastructures brick by brick
  • Infrastructure as code

Managing the Cloud

  • Single Team Oriented Service Architecture (STOSA) organizations
  • Effective devops in the cloud
  • Understanding automation

AI and the Cloud

  • Foundations of AI in cloud computing
  • AI integration patterns
  • Resource and cost considerations
  • AI-assisted cloud operations
  • AI-assisted security and governance
  • Why use the cloud for AI ML

The Edge of the Cloud

  • The Internet of Things
  • Extending the cloud to the edge

Cloud Sustainability and Green Computing

  • The environmental cost of computing
  • Why the cloud is greener than on-premises

Conclusion

  • Cloud Center of Excellence (CoE)
80,000 Toman