DynamoDB High Availability
Backup and Restore
Point in Time Recovery
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This course explores Amazon Web Service's DynamoDB and teaches you how to architect DynamoDB setups—with an emphasis on high availability—ensuring that your internet-scale applications are always available. The course begins by looking at the various option offered by DynamoDB, before moving onto on-demand backup and restore, and rounding off by looking at point in time recovery. In each section, there is a real-world demonstration from the AWS platform which walks you through the topics covered.
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- Understand how to provision and configure DynamoDB in a manner that ensures it is highly available and able to serve all read and write requests to it.
This course has been created for those who are responsible for architecting DynamoDB setups.
To get the most from this course you should be familiar with basic NoSQL concepts, and DynamoDb concepts such as Tables, Items, and Attributes. Consider watching our dedicated “Working with Amazon DynamoDB” course and/or review the “10 Things You Should Know” about DynamoDB blog post, before taking this course.
The following GitHub repository is referenced within this course:
Ok, that brings me to the end of this course which explained and demonstrated the various HA backup and restore options available within the Amazon DynamoDB service, and how you go about configuring them to ensure that your DynamoDB stored data is highly available, redundant and durable.
Feedback on our courses here at Cloud Academy is valuable to both us as trainers and any students looking to take the same course in the future. If you have any feedback, it would be greatly appreciated if you could provide it to us. You can contact us at email@example.com, and again, thank you for the time you've invested in taking this course and good luck with your continued learning of cloud computing.
Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.
He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, GCP, Azure), Security, Kubernetes, and Machine Learning.
Jeremy holds professional certifications for AWS, GCP, and Kubernetes.