Cloud Architecture: Design Decisions (2022)

Course details

Strong architecture begins with smart design decisions. With the cloud, the options can seem almost limitless. By focusing on your business and application needs, and how they may change over time, you can make intelligent choices, leading to a more efficient, cost-effective infrastructure.

This course is targeted at IT professionals who have a basic understanding of the cloud and are ready to move on to creating a cloud architecture. David Linthicum begins with the business case and requirement patterns, and then discusses mapping requirements to individual architecture concepts like storage, processing, and governance. David also covers advanced topics such as serverless architecture, containers, AI, machine learning, and more. Watch and learn how to make sense of today's requirements, as you plan your cloud-based architecture to scale with what your company needs to succeed tomorrow.

Learning objectives
Advanced architecture concepts
Building a business case
Defining storage, processing, and other requirements
Mapping requirements
Performance and security
Serverless computing
Containers and container orchestration

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 example one - HR systems
05 - Advanced architecture example two - Edge computing
06 - Advanced architecture example three - Containers and Kubernetes
07 - Advanced architecture example four - Serverless computing
08 - Necessary skills, tools, and processes

2. Define a Business Case

09 - Build a business case
10 - Soft costs and benefits
11 - Hard costs and benefits
12 - Economies of optimization
13 - Economies of complexity

3. Define the Requirement Patterns

14 - What storage is needed
15 - What compute is needed
16 - What data and databases are needed
17 - What security is needed
18 - What governance is needed
19 - What CloudOps processes and technology are needed
20 - Other services to consider

4. Cloud Architecture Advanced Concepts

21 - Map requirements to storage
22 - Map requirements to compute
23 - Map requirements to databases
24 - Map to security and governance
25 - Map to cloud operations (CloudOps)
26 - Making sense of it all

5. Advanced Topics

27 - Performance management
28 - Proactive security
29 - Serverless
30 - Containers and container orchestration
31 - IoT and edge computing
32 - AI and ML
33 - Multi-cloud
34 - Low-code and no-code
35 - Emerging technology to pay attention to

Conclusion

36 - Next steps