52 weeks AWS: Episode 22 Solutions Architect: Planning for Disaster

52 weeks AWS: Episode 22 Solutions Architect: Planning for Disaster

Author: Noah Gift May 23, 2022 Duration: 26:08

Episode 22 covers the preparing for Disasters.

00:00 Intro
02:37 Planning for failures
03:34 Avoiding and planning for disasters
05:37 Using the Well-Architected Framework design principles
05:51 Recovery Point objectives (RPO)
06:34 Recovery time objective (RTO)
07:12 Plan for disaster recovery
08:03 Storage and backup building blocks
09:50 S3 Cross-Region replication
10:41 EBS volume snapshots
11:41 File system replication
12:50 Compute Capacity recovery
13:44 Strategies for disaster recovery
15:01 Networking design for resilience
15:34 Databases and recovery
16:45 Automation Services: CloudFormation, Elastic Beanstalk and AWS OpsWorks
17:38 Four disaster recovery strategies: Backup and restore, Pilot light, Warm Standby and Multi-site
18:23 AWS Storage Gateway
24:00 Summary of common DR patterns

If you enjoyed this video, here are additional resources to look at:

Coursera + Duke Specialization: Building Cloud Computing Solutions at Scale Specialization: https://www.coursera.org/specializations/building-cloud-computing-solutions-at-scale

Python, Bash, and SQL Essentials for Data Engineering Specialization: https://www.coursera.org/specializations/python-bash-sql-data-engineering-duke

AWS Certified Solutions Architect - Professional (SAP-C01) Cert Prep: 1 Design for Organizational Complexity:
https://www.linkedin.com/learning/aws-certified-solutions-architect-professional-sap-c01-cert-prep-1-design-for-organizational-complexity/design-for-organizational-complexity?autoplay=true

O'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017

O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/

Pragmatic AI: An Introduction to Cloud-based Machine Learning: https://www.amazon.com/gp/product/B07FB8F8QP/

Pragmatic AI Labs Book: Python Command-Line Tools: https://www.amazon.com/gp/product/B0855FSFYZ

Pragmatic AI Labs Book: Cloud Computing for Data Analysis: https://www.amazon.com/gp/product/B0992BN7W8

Pragmatic AI Book: Minimal Python: https://www.amazon.com/gp/product/B0855NSRR7

Pragmatic AI Book: Testing in Python: https://www.amazon.com/gp/product/B0855NSRR7

Subscribe to Pragmatic AI Labs YouTube Channel: https://www.youtube.com/channel/UCNDfiL0D1LUeKWAkRE1xO5Q

Subscribe to 52 Weeks of AWS Podcast: https://52-weeks-of-cloud.simplecast.com

View content on noahgift.com: https://noahgift.com/

View content on Pragmatic AI Labs Website: https://paiml.com/

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Noah Gift guides you through a year-long journey with 52 Weeks of Cloud, a weekly exploration designed for anyone building, managing, or simply curious about modern cloud infrastructure. Each episode digs into a specific technical topic, moving beyond surface-level explanations to offer practical insights you can apply. You’ll hear detailed discussions on the platforms that power the industry-like AWS, Azure, and Google Cloud-and how to navigate multi-cloud strategies effectively. The conversation regularly delves into the orchestration of these systems with Kubernetes and the specialized world of machine learning operations, or MLOps, including the integration and implications of large language models. This isn't just theory; it's a focused look at the tools and methodologies shaping how software is deployed and scaled today. By committing to this podcast, you're essentially getting a structured, expert-led curriculum that breaks down complex subjects into manageable weekly segments, all aimed at building a comprehensive and practical understanding of the cloud ecosystem.
Author: Language: English Episodes: 225

52 Weeks of Cloud
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