AWS Database Blog
Author: Katja-Maja Kroedel
Katja-Maja Kroedel is a passionate Advocate for Databases and IoT at AWS, where she helps customers leverage the full potential of cloud technologies. With a background in computer engineering and extensive experience in IoT and databases, she works with customers to provide guidance on cloud adoption, migration, and strategy in these areas. Katja is passionate about innovative technologies and enjoys building and experimenting with cloud services like AWS IoT Core and AWS RDS.
Everything you don’t need to know about Amazon Aurora DSQL: Part 5 – How the service uses clocks
In this post, I explore how Amazon Aurora DSQL uses Amazon Time Sync Service to build a hybrid logical clock solution.
Everything you don’t need to know about Amazon Aurora DSQL: Part 4 – DSQL components
Amazon Aurora DSQL employs an active-active distributed database design, wherein all database resources are peers and serve both write and read traffic within a Region and across Regions. This design facilitates synchronous data replication and automated zero data loss failover for single and multi-Region Aurora DSQL clusters. In this post, I discuss the individual components and the responsibilities of a multi-Region distributed database to provide an ACID-compliant, strongly consistent relational database.
Everything you don’t need to know about Amazon Aurora DSQL: Part 3 – Transaction processing
In this third post of the series, I examine the end-to-end processing of the two transaction types in Aurora DSQL: read-only and read-write. Amazon Aurora DSQL doesn’t have write-only transactions, since it’s imperative to verify the table schema or ensure the uniqueness of primary keys on each change – which results them being read-write transactions as well.
Everything you don’t need to know about Amazon Aurora DSQL: Part 2 – Shallow view
In this second post, I examine Aurora DSQL’s architecture and explain how its design decisions impact functionality—such as optimistic locking and PostgreSQL feature support—so you can assess compatibility with your applications. I provide a comprehensive overview of the underlying architecture, which is fully abstracted from the user.
Everything you don’t need to know about Amazon Aurora DSQL: Part 1 – Setting the scene
In this post, I dive deep into fundamental concepts that are important to comprehend the benefits of Aurora DSQL, its feature set, and its underlying components.
Optimize Amazon RDS Multi-AZ backups with incremental snapshots
As your business grows and your databases expand into the terabyte range, optimizing your backup strategy becomes increasingly important for maintaining operational excellence. Modern backup solutions that implement incremental backups where possible, offer an elegant way to protect your valuable data while minimizing maintenance windows and ensuring consistent application performance. In this post, we discuss the aspects of maximizing the use of incremental backups in Amazon RDS, leading to backup times remaining steady even while the database grows.