The course is part of this learning path
In this course, we cover Google’s recommended best practices for migrating any database to the Google Cloud Platform. The four main phases covered are Assess, Plan, Deploy, and Optimize.
- Choose the best migration tools
- Select a migration strategy
- Define a fallback plan
- Migrate and validate your data
- Measure and optimize your results
- Database administrators
- Database engineers
- Anyone preparing for a Google Cloud certification
- Some experience working with databases
Congratulations! You made it to the end of the course. Let’s do a quick review over the four main phases for database migration.
In this phase, you want to identify all dependents and dependencies. That is everything that depends upon your database. And everything your database depends upon. Once you have done that, then you can then select your target database along with any required tools and automation.
Here you are going to choose a migration methodology, write out all the required steps, and develop a fallback plan. Start out by asking yourself if this is going to be a one-time or a continuous migration.
Here you will be putting all your plans into action. This includes creating your new instance, replicating your records, and migrating your client connections.
You want to ensure that logging and monitoring are configured in a way that you can stay on top of issues and fix any problems. You also should be investigating ways to improve your performance, resilience, and cost.
Well, that’s all I have for you today! Remember to give this course a rating, and if you have any questions or comments, please let us know. Thanks for watching, and make sure to check out our many other courses on Cloud Academy!
Daniel began his career as a Software Engineer, focusing mostly on web and mobile development. After twenty years of dealing with insufficient training and fragmented documentation, he decided to use his extensive experience to help the next generation of engineers.
Daniel has spent his most recent years designing and running technical classes for both Amazon and Microsoft. Today at Cloud Academy, he is working on building out an extensive Google Cloud training library.
When he isn’t working or tinkering in his home lab, Daniel enjoys BBQing, target shooting, and watching classic movies.