From the course: Cloud Computing: BC/DR Best Practices
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Solution: BC/DR AI processing for Atlas Inc.
From the course: Cloud Computing: BC/DR Best Practices
Solution: BC/DR AI processing for Atlas Inc.
(upbeat music) - [Narrator] Here's how Atlas Incorporated can build a strong business continuity and disaster recovery plan for their cloud-based AI systems. First Atlas should start by inventorying all essential assets involved in their AI processing. This includes data sets, train models, pipelines, orchestration scripts, and the underlying cloud infrastructure. Once everything is cataloged, it's important to prioritize each component based on its business impact and recovery needs. Next, Atlas needs to implement automated scheduled backups and versioning for their data, models, and configurations. By using cloud native tools and enabling version control, they can make sure that recent copies are always available and that it's easy to roll back changes if something goes wrong. To guard against regional outages, Atlas should store backup copies in multiple geographically separate cloud regions. This geo-redundancy means that even if one area is affected, data and services can be…
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Identifying processes for backup2m 53s
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BC/DR for platform instances2m 40s
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BC/DR for other cloud services2m 14s
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BC/DR for AI/ML inference processing3m 8s
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Machine Learning Operations (MLOps) and BC/DR3m 19s
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Challenge: BC/DR AI processing for Atlas Inc.1m 56s
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Solution: BC/DR AI processing for Atlas Inc.2m 18s
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