AWS News Blog

Category: Launch

Announcing AWS Well-Architected Agent, an AI-powered intelligence to optimize your cloud environment (preview)

Introducing the public preview of AWS Well-Architected Agent, an AI-powered service that analyzes your AWS environment to deliver targeted, contextual recommendations for improving your applications’ cost, security, performance, and resilience—with ready-to-implement fixes aligned to your business goals.

Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake

Amazon Aurora PostgreSQL now lets you directly query Apache Iceberg and Parquet data stored in your data lake alongside live operational data—no ETL pipelines required. Powered by DuckDB embedded within Aurora, this capability enables single queries that join transactional and historical data using familiar PostgreSQL syntax. It supports AWS Glue Data Catalog, S3, and S3 Tables, with optimizations like predicate pushdown and caching for efficient performance.

AWS Heroes

Celebrating Our Newest AWS Heroes – September 2026

Today, we’re excited to introduce the newest members of the AWS Heroes program. AWS Heroes are a vibrant, worldwide group of AWS experts who go above and beyond to share knowledge, mentor others, and build thriving communities. These individuals make a real difference in helping developers and organizations succeed with AWS. This month, we welcome […]

Introducing enhanced custom event buses in Amazon EventBridge for enterprise-scale event-driven applications

Amazon EventBridge announces an enhanced custom event bus for organizations scaling event-driven applications across teams and accounts. Deploy a single event bus shared across all AWS accounts in your organization, with ordering guarantees, a simplified Subscriber resource, and improved economics at scale.

Introducing Amazon CloudWatch Omni: AI-powered observability for generative AI and agentic workloads

Learn how Amazon CloudWatch Omni delivers AI-powered observability purpose-built for generative AI and agentic workloads. Trace, evaluate, and experiment with AI agents across any framework—directly from your IDE or a standalone web experience—using open standards and built-in evaluators for quality, correctness, and coherence.