Introduction & HA Overview
Aurora Single Master
Aurora Multi Master
Interested in learning about Amazon Aurora?
Amazon Aurora is a next generation cloud native relational database, providing unrivalled performance and availability features!!
This course explores the various configuration options and techniques that you can use to create highly available Amazon Aurora databases. It starts off by looking at the high availability options available within Amazon Aurora, before diving deeper into more specific features, such as single and multi master setups, read replicas, and how Aurora can be provisioned serverless. Each new topic is accompanied by a real-world demonstration to help you better understand the concepts presented within the course.
For any feedback or questions relating to this course, please contact us as firstname.lastname@example.org.
- Understand how to provision and configure Amazon Aurora in a manner that ensures it is highly available and able to serve all read and write requests.
This course is intended for those responsible for architecting Aurora database setups, with an emphasis on high availability.
To get the most from this course, you should be familiar with basic SQL database concepts. If required, consider taking our "Database Fundamentals for AWS" course first.
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 Aurora service, and how you go about configuring them to ensure that your Aurora 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 contact email@example.com. And again, thank you for your time 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, Azure, GCP), Security, Kubernetes, and Machine Learning.
Jeremy holds professional certifications for AWS, Azure, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).