Skip To Main Content
Nazneen Jafri on Muck Rack

Nazneen Jafri

As seen in: Amazon Web Services
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Nazneen

Contact Nazneen, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

PostgreSQL 18 on Amazon Aurora and Amazon RDS: Performance enhancements

|
By Sukhpreet Kaur Bedi, Ranjan Burman, Nazneen Jafri
| Amazon Web Services
Managing query performance across composite indexes, diagnosing memory spills in materialized CTEs, and upgrading major versions without plan regressions are everyday challenges for PostgreSQL users. PostgreSQL 18 addresses each of these directly with skip scan optimization that removes redundant indexes, EXPLAIN enhancements that expose storage behavior, and optimizer statistics that survive major version upgrades.
Open in Who Shared Issue with article?

PostgreSQL 18 on Amazon Aurora and Amazon RDS: Security, monitoring, and developer enhancements

|
By Nazneen Jafri, Sukhpreet Kaur Bedi, Ranjan Burman
| Amazon Web Services
AWS Database Blog In Part 1 of this series, we explored the performance enhancements in PostgreSQL 18, including skip scan optimization, enhanced EXPLAIN output, automatic self-join removal, and vacuum/autovacuum improvements. In this second part, we focus on security, monitoring, developer productivity, and logical replication enhancements that improve operational efficiency and the overall developer experience.
Open in Who Shared Issue with article?
See all 2 articles