# How are database administrators optimizing performance and scalability using AWS Databases in large-scale applications?

How are database administrators optimizing performance and scalability using AWS Databases in large-scale applications?

##### Post Metadata
- Posted at: almost 2 years ago
- Author title: Pinned by G2 as a common question



## Comments
### Comment 1

Database administrators optimize performance and scalability in large-scale apps on AWS by using Aurora/RDS autoscaling, read replicas, and multi-AZ setups for high availability. They leverage Aurora Serverless v2 for dynamic capacity, Global Database for low-latency reads across regions, and ElastiCache for caching frequently accessed data. DBAs also use Performance Insights, Query Plan Analysis, and automatic backups to fine-tune queries and storage.

##### Comment Metadata
- Posted at: 5 months ago
- Author title: | AWS | GCP | DevOps | Kubernetes | Ansible | Kubernetes | OpenShift | 2xRedHat




## Related Product
[AWS Databases](https://www.g2.com/products/aws-databases/reviews)

## Related Category
[Product Suites](https://www.g2.com/categories/product-suites)

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