AWS Database Blog
Author: Krishna Sarabu
Krishna Sarabu is a Senior Database Engineer with AWS. He focuses on containers, application modernization, infrastructure, and open-source database engines Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. He enjoys working with users to help design, deploy, and optimize relational database workloads on AWS.
Simplify database authentication management with the Amazon Aurora PostgreSQL pg_ad_mapping extension
In this post, we look into Kerberos authentication for Amazon Aurora PostgreSQL-Compatible Edition using AWS Directory Service for Microsoft Active Directory, and particularly the new pg_ad_mapping extension and how it can help you manage access control more efficiently.
Building AI-powered search in PostgreSQL using Amazon SageMaker and pgvector
Organizations across diverse sectors are exploring novel ways to enhance user experiences by harnessing the potential of Generative AI and large language models (LLMs). In the fashion industry generative AI is revolutionizing the creative process. By analyzing user preferences and data, AI algorithms can generate unique apparel patterns and designs, bringing a new level of […]
Scale applications using multi-Region Amazon EKS and Amazon Aurora Global Database: Part 2
April, 2026: Aurora Serverless v2 has been renamed Aurora serverless. No action required. This is the second in a two-part series about scaling applications globally using multi-Region Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Aurora Global Database. In Part 1, you learned the architecture patterns and foundational pillars of a multi-Region application design. In this […]
A serverless architecture for analyzing PostgreSQL logs with pgBadger
PostgreSQL is one of the most popular open-source relational database systems. AWS offers services that make PostgreSQL database deployments easy to set up, manage, and scale in a cost-efficient manner. These services are Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition. Optimizing database performance is an important task for DevOps […]
Scale applications using multi-Region Amazon EKS and Amazon Aurora Global Database: Part 1
AWS offers a breadth and depth of services that helps you run and scale your critical workloads in multiple Regions on AWS’ global footprint. Whether you need a multi-Region architecture to support disaster recovery or bring your applications and the backend database into close proximity to your customers to reduce latency, AWS gives you the […]