Cloud Architecture: Design Decisions

Introduction

• Making decisions around cloud architecture design
• What you should know

1. Beyond Basic Architecture

• Taking your architecture to the next level
• Advanced architecture scenario: HR systems
• Advanced architecture scenario: Edge computing
• Advanced architecture scenario: Containers and Kubernetes
• Advanced architecture scenario: Serverless computing
• Advanced architecture scenario: Generative AI computing
• Advanced architecture scenario: Agentic AI computing
• Necessary skills, tools, and processes

2. Define a Business Case

• Build a business case
• Soft costs and benefits
• Hard costs and benefits
• Economies of optimization
• Leveraging AI as a innovative differentiator
• Economies of complexity
• Challenge: Defining the business case for ABC Inc.
• Solution: Defining the business case for ABC Inc.

3. Define the Requirement Patterns

• Designing for storage
• Designing for compute
• Designing for data and database
• Designing for secuirty
• Designing for governance
• Designing for CloudOps and FinOps
• Other services to consider

4. Advanced Cloud Architecture Design Concepts

• Map requirements to storage
• Map requirements to compute
• Map requirements to databases
• Map to security and governance
• Map to cloud operations (CloudOps)
• Map requirements to an AI solution
• Making sense of it all
• Challenge: Defining the cloud architecture requirements for ABC Inc.
• Solution: Defining the cloud architecture requirements for ABC Inc.

5. Other Advanced Topics

• Performance management
• Proactive security
• Serverless
• Containers and container orchestration
• IoT and edge computing
• Machine learning, generative AI, agentic AI, and deep learning
• Multi-cloud
• Low-code and no-code
• Emerging technology

Conclusion

• Learn to stay state of the art