Cloud Computing: BC/DR Best Practices

Course details

The cloud is a force multiplier for businesses, enabling companies of all sizes to scale quickly and efficiently. However, running your workloads in the cloud doesn't mean they're immune to disruptions. In the event of a disaster that interrupts services, whether a large-scale event or an incident specifically impacting your business, you need to have a plan in place to minimize downtime and the resulting loss of revenue. In this course, instructor David Linthicum reviews best practices and approaches for building a strategy around business continuity (BC) and disaster recovery (DR). Examine real-world case studies and explore specific technologies available for business continuity/disaster recovery (BC/DR) across Amazon Web Services, Microsoft Azure, and Google Cloud Platform. This practical course helps you identify the requirements specific to your business and translate them into a real-world BC/DR strategy and toolset.

Learning objectives
Identify how AI impacts BC/DR and the AI tools that are available for your BC/DR strategy.
Determine which data to build into your BC/DR strategy and how to assign a level of criticality.
Become familiar with the tools and services available on AWS, Azure, and Google Cloud.
Identify the storage and database options available in the cloud and how to build them into your BC/DR strategy.

Concepts

0. Introduction

01 - Introduction to business continuity and disaster recovery (BC DR) in the cloud
02 - What you should know

1. BC DR Basics

03 - What is BC DR
04 - BC DR case studies
05 - BC DR tools for the cloud
06 - Understanding BC DR requirements
07 - How AI impacts BC DR

2. BC DR for Data

08 - Identifying data for backup
09 - BC DR for cloud storage systems
10 - BC DR for cloud database systems
11 - BC DR for AI system data
12 - Challenge - BD DR data planning for Atlas Inc.
13 - Solution - BD DR data planning for Atlas Inc.

3. BC DR for Processing

14 - Identifying processes for backup
15 - BC DR for platform instances
16 - BC DR for other cloud services
17 - BC DR for AI ML inference processing
18 - Machine Learning Operations (MLOps) and BC DR
19 - Challenge - BC DR AI processing for Atlas Inc.
20 - Solution - BC DR AI processing for Atlas Inc.

4. BC DR for the Cloud - Tools and Services

21 - Amazon Web Services BC DR tools
22 - Google Cloud Platform BC DR tools
23 - Azure BC DR tools
24 - Choosing a BC DR tool for your cloud deployment

Conclusion

25 - Putting it all together
26 - Where to go next

Cloud Computing: BC/DR Best Practices

Authors

David Linthicum