[Update Links] Mastering Amazon (AWS) Aurora RDS – 2023 (24 Hands On Demos) | Udemy

Amazon AWS Aurora (AWS Aurora) is a fully managed relational database engine that’s compatible with MySQL and PostgreSQL. You already know how MySQL and PostgreSQL combine the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases.  The code, tools, and applications you use today with your existing MySQL and PostgreSQL databases can be used with Amazon (AWS) Aurora. With some workloads, Aurora can deliver up to five times the throughput of MySQL and up to three times the throughput of PostgreSQL without requiring changes to most of your existing applications.

AWS Aurora includes a high-performance storage subsystem. Its MySQL- and PostgreSQL-compatible database engines are customized to take advantage of that fast distributed storage. The underlying storage grows automatically as needed. An AWS Aurora cluster volume can grow to a maximum size of 128 tebibytes (TiB). Aurora also automates and standardizes database clustering and replication, which are typically among the most challenging aspects of database configuration and administration.

An Amazon AWS Aurora DB cluster consists of one or more DB instances and a cluster volume that manages the data for those DB instances. An Aurora cluster volume is a virtual database storage volume that spans multiple Availability Zones, with each Availability Zone having a copy of the DB cluster data. Two types of DB instances make up an Aurora DB cluster:

This course will provide you with all the skills needed learn, understand, setup, configure and monitor AWS Aurora RDS.  Many organizations are using Amazon Aurora instead of Oracle or MS SQL Server.  This course will help you understand and become skilled at AWS Aurora RDS to continue to grow your career or personal interests.