Database Migration Service
Understanding RDS Scaling & Elasticity
Configuring Operational Parameters for AWS Databases
Amazon RDS Performance Insights
When to use RDS Multi-AZ & Read Replicas
The course is part of this learning path
This course covers the core learning objective to meet the requirements of the 'Designing Database solutions in AWS - Level 3' skill
- Analzy targert AWS database platforms when performing a migration
- Create and deploy an enterprise-wide scalable RDS Database solition to meet and exceed workload performance expectations
- Create an AWS database slution to withstand AWS global infrastructure outages with minimal data loss
The Amazon Relational database service (RDS) provides a robust, managed platform that allows you to spend your time avoiding the undifferentiated heavy lifting of creating your own databases. These out of the box databases provided by the service do give you incredible power, freedom, and flexibility to develop and build the way you want to. However, there are many times when you might need more than the standard out of the box deployments that come native with the service.
There are situations where your data set or the actions you perform on it, are putting a unique strain on your database, and you might suffer from adverse performance. You might notice undue slowdowns or the database chugging when you try to access certain elements.
Well, that is because behind the scenes there are over 400 unique parameters that RDS uses to function. These parameters control all kinds of configuration about the database that could be affecting your performance. So for this lecture, I wanted to take a moment to discuss parameter groups and how you can use them to get every little bit of extra tuning and power out of your database instances.
Stephen is the AWS Certification Specialist at Cloud Academy. His content focuses heavily on topics related to certification on Amazon Web Services technologies. He loves teaching and believes that there are no shortcuts to certification but it is possible to find the right path and course of study.
Stephen has worked in IT for over 25 years in roles ranging from tech support to systems engineering. At one point, he taught computer network technology at a community college in Washington state.
Before coming to Cloud Academy, Stephen worked as a trainer and curriculum developer at AWS and brings a wealth of knowledge and experience in cloud technologies.
In his spare time, Stephen enjoys reading, sudoku, gaming, and modern square dancing.