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LinkedIn Learning

Cloud Architecture: Design Decisions

via LinkedIn Learning

Overview

Strong architecture begins with smart design decisions. Learn how to define and map requirements for a solid cloud-based architecture.

Syllabus

Introduction
  • Making decisions around cloud architecture design
  • What you should know
1. Beyond Basic Architecture
  • Taking your architecture to the next level
  • Advanced architecture example one: HR systems
  • Advanced architecture example two: Edge computing
  • Advanced architecture example three: Containers and Kubernetes
  • Advanced architecture example four: Serverless 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
  • Economies of complexity
3. Define the Requirement Patterns
  • What storage is needed?
  • What compute is needed?
  • What data and databases are needed?
  • What security is needed?
  • What governance is needed?
  • What CloudOps processes and technology are needed?
  • Other services to consider
4. Cloud Architecture Advanced Concepts
  • Map requirements to storage
  • Map requirements to compute
  • Map requirements to databases
  • Map to security and governance
  • Map to cloud operations (CloudOps)
  • Making sense of it all
5. Advanced Topics
  • Performance management
  • Proactive security
  • Serverless
  • Containers and container orchestration
  • IoT and edge computing
  • AI and ML
  • Multi-cloud
  • Low-code and no-code
  • Emerging technology to pay attention to
Conclusion
  • Next steps

Taught by

David Linthicum

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4.7 rating at LinkedIn Learning based on 395 ratings

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