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This article mainly introduces "what changes have taken place in the role of the database administrator after going to the cloud". In the daily operation, I believe that many people have doubts about the changes in the role of the database administrator after going to the cloud. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the doubts about "what changes have taken place in the role of the database administrator after going to the cloud?" Next, please follow the editor to study!

Capacity planning

Traditionally, database capacity planning refers to configuring server capacity for peak loads, so most of the time DBA pays for underutilized resources. This is not only expensive, but also much less flexible. However, cloud databases are more resilient, so their storage and computing capacity can be dynamically and automatically expanded to meet changing needs. Software API is typically used to configure automatic responses to monitored metrics and alerts. In addition, some cloud databases are serverless, which means that there is no need to configure servers or virtual machines at all.

Database backup and recovery

Traditional methods of backing up databases involve storing and maintaining physical backup devices, such as tapes. For security reasons, tapes are stored in remote locations, are troublesome to manage, and limit recovery time for chivalry. The cloud provides a simpler, more persistent storage solution that automatically retains multiple copies of backup data in multiple physical locations. There are no physical storage devices for DBA to manage, so DBA can script and automate backup and recovery.

Choose an excellent database solution

The cloud platform provides new options for the build team to have specially built database options, including self-managed and fully managed relationships, NoSQL options, key-value pairs, documents, memory, formulations, graphics, time series, and more. This means that database experts (not just DBA) need to understand these options and how to apply them to specific use cases and application deployment requirements. For example, database experts can work with the development team to choose a dedicated database solution that best suits the data type and the desired access pattern, and meets performance, persistence, and scalability requirements at the lowest cost.

As DBA has more options and solutions, it becomes more complex and interesting to learn how to map application requirements to database requirements to optimize scale, performance, and cost efficiency.

Workload design

With the transition to cloud services, DBA no longer needs to spend a lot of time performing routine administrative tasks, such as patching, upgrading, and installing the database engine. They can now be used as a reference to assist application developers in selecting the right database services for specific workloads and performing reduced administrative tasks.

At this point, the study on "what changes have taken place in the role of the database administrator after going to the cloud" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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