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High Availability and Disaster Recovery on AWS for DevOps Engineers

This course will teach you best practices for designing globally scalable and resilient applications on AWS, emphasizing the "High Availability, Fault Tolerance, and Disaster Recovery" domain of the AWS Certified DevOps Engineer - Professional exam.

Danny Jessee - Pluralsight course - High Availability and Disaster Recovery on AWS for DevOps Engineers
Danny Jessee
What you'll learn

Simply deploying your applications to the AWS cloud does not guarantee that they will be scalable, highly available, or resilient in the event of a disaster. In this course, High Availability and Disaster Recovery on AWS for DevOps Engineers, you'll learn how to design well-architected solutions that are responsive, fault tolerant, and quickly recoverable in the event of failure. First, you'll explore best practices when designing your application for high availability and scalability. Next, you'll discover how to design highly available and scalable databases. Finally, you'll learn how to apply disaster recovery strategies as you define your own business continuity requirements. When you're finished with this course, you'll have the skills and knowledge of a DevOps engineer needed to answer questions from the "High Availability, Fault Tolerance, and Disaster Recovery" domain of the AWS Certified DevOps Engineer - Professional exam.

Table of contents

About the author
Danny Jessee - Pluralsight course - High Availability and Disaster Recovery on AWS for DevOps Engineers
Danny Jessee

Danny Jessee is a senior software developer and cloud engineer in the Washington, DC metro area. He specializes in updating legacy applications to take advantage of the cloud and building custom solutions leveraging technologies such as SharePoint, ServiceNow, and AWS. He has numerous AWS certifications, has spoken at national SharePoint conferences, and enjoys sharing his knowledge and experience with developers and IT professionals around the world. In his spare time, he enjoys running and meteorology.

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