Cloud Architecture: Design Decisions

Course details

In this course, David Linthicum—an internationally known enterprise technology thought leader and influencer—explores the essential components of cloud computing architecture. Learn how to make informed design decisions that optimize cloud storage, compute resources, databases, and security across various cloud service providers. Build your understanding of performance operations, security operations, and governance principles. Explore advanced topics such as containerization, serverless computing, edge computing, and AI integration to enhance your cloud solutions. Learn about financial operations and cost management to maximize cloud investments. When you complete this course, you can create robust cloud architectures that deliver business value and stay cost-efficient. Stay ahead of the competition by mastering modern cloud technologies and optimizing your cloud environments for long-term success.

Concepts

0. Introduction

01 - Making decisions around cloud architecture design
02 - What you should know

1. Beyond Basic Architecture

03 - Taking your architecture to the next level
04 - Advanced architecture scenario - HR systems
05 - Advanced architecture scenario - Edge computing
06 - Advanced architecture scenario - HR systems
07 - Advanced architecture scenario - Serverless computing
08 - Advanced architecture scenario - Generative AI computing
09 - Advanced architecture scenario - Agentic AI computing
10 - Necessary skills, tools, and processes

2. Define a Business Case

11 - Build a business case
12 - Soft costs and benefits
13 - Hard costs and benefits
14 - Economies of optimization
15 - Leveraging AI as a innovative differentiator
16 - Economies of complexity
17 - Challenge - Defining the business case for ABC Inc.
18 - Solution - Defining the business case for ABC Inc.

3. Define the Requirement Patterns

19 - Designing for storage
20 - Designing for compute
21 - Designing for data and database
22 - Designing for secuirty
23 - Designing for governance
24 - Designing for CloudOps and FinOps
25 - Other services to consider

4. Advanced Cloud Architecture Design Concepts

26 - Map requirements to storage
27 - Map requirements to compute
28 - Map requirements to databases
29 - Map to security and governance
30 - Map to cloud operations (CloudOps)
31 - Map requirements to an AI solution
32 - Making sense of it all
33 - Challenge - Defining the cloud architecture requirements for ABC Inc.
34 - Solution - Defining the cloud architecture requirements for ABC Inc.

5. Other Advanced Topics

35 - Performance management
36 - Proactive security
37 - Serverless
38 - Containers and container orchestration
39 - IoT and edge computing
40 - Machine learning, generative AI, agentic AI, and deep learning
41 - Multi-cloud
42 - Low-code and no-code
43 - Emerging technology

Conclusion

44 - Learn to stay state of the art