Cloud Architecture: Advanced Concepts

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.

Concepts

0. Introduction

01 - Orchestrating your cloud architecture
02 - Course audience
03 - Intricacies of cloud architecture

1. Cloud Types and Structures

04 - Public, private, and hybrid cloud
05 - Multicloud and polycloud
06 - Selecting the right cloud type

2. Microservices

07 - Understanding microservices
08 - Why use microservices
09 - Types of services
10 - Running microservices in the cloud

3. Data and Data Management

11 - Data storage in the cloud
12 - Data across services
13 - Selecting the right data model

4. Serverless Computing

14 - Advantages of serverless computing
15 - Disadvantages of serverless computing
16 - Serverless computing and your applications

5. Cloud Security

17 - Cloud vs. on-premises security
18 - Leveraging cloud provider expertise
19 - Security zones
20 - Identity and permissions in the cloud

6. Constructing a Cloud Infrastructure

21 - Dynamic infrastructures
22 - Infrastructures brick by brick
23 - Infrastructure as code

7. Managing the Cloud

24 - Single Team Oriented Service Architecture (STOSA) organizations
25 - Effective devops in the cloud
26 - Understanding automation

8. AI and the Cloud

27 - Foundations of AI in cloud computing
28 - AI integration patterns
29 - Resource and cost considerations
30 - AI-assisted cloud operations
31 - AI-assisted security and governance
32 - Why use the cloud for AI ML

9. The Edge of the Cloud

33 - The Internet of Things
34 - Extending the cloud to the edge

10. Cloud Sustainability and Green Computing

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

Conclusion

37 - Cloud Center of Excellence (CoE)