Learn how to use IAM principal attribution to attribute Amazon Bedrock usage and costs to specific IAM identities.

Amazon Aurora PostgreSQL can now query data from a data lake alongside content from the database without first copying the data lake data.

Discover how Amazon S3 provides scalable, secure, and cost-effective object storage for modern cloud environments. This article explores its core capabilities, storage classes, security features, and strategic role in backups, data lakes, analytics, and artificial intelligence.

Amazon S3 is AWS's object storage service for storing and retrieving files, backups, images, logs, and application data. Learn the core S3 concepts with simple examples.

Amazon Aurora PostgreSQL kann nun Daten aus einem Data Lake gemeinsam mit Inhalten aus der Datenbank abfragen, ohne die Data-Lake-Daten zuvor zu kopieren.

Compare Amazon S3 Vectors, Amazon OpenSearch Serverless, Amazon Aurora PostgreSQL with pgvector, and Amazon Neptune Analytics using the same embeddings, queries, and measurement methodology.

    Amazon S3 Vectors introduces metadata pre-filtering for up to 5x higher recall on filtered search 0 views Eyal Estrin unread, 6:56 AM (9 minutes ago)    to https://aws.amazon.com/about-aws/whats-new/2026/09/s3-vectors-introduces-metadata-pre-filtering/ https://aws.amazon.com/blogs/aws/amazon-s3-vectors-now-supports-metadata-pre-filtering-for-higher-recall-on-filtered-searches/ https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-vectors-metadata-filtering.html Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Continuing my AWS learning journey after EC2 and VPC, I explored Amazon S3 through a hands-on AWS Skill Builder lab and learned the fundamentals of cloud storage, buckets, objects, and real-world use cases.

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    Amazon S3 Tables now support all Apache Iceberg V3 data types 0 views Skip to first unread message Eyal Estrin unread, 8:53 AM (1 hour ago)    to https://aws.amazon.com/about-aws/whats-new/2026/09/amazon-s3-tables-iceberg-v3-data-types/ https://aws.amazon.com/blogs/aws/amazon-s3-tables-now-support-all-apache-iceberg-v3-data-types/ https://docs.aws.amazon.com/AmazonS3/latest/userguide/working-with-apache-iceberg-v3.html https://docs.aws.amazon.com/prescriptive-guidance/latest/apache-iceberg-on-aws/table-spec-v3.html Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Amazon S3 + CloudFront + Route 53: a simple, secure, and scalable setup

AWSは2026年9月30日、同社のマネージドRDBサービス「Amazon Aurora PostgreSQL」で、Apache IcebergおよびParquet形式のデータレイクに保存されたデータに対して直接クエリ実行できるようになったことを発表した。

AWSは2026年9月30日、同社のマネージドRDBサービス「Amazon Aurora PostgreSQL」で、Apache IcebergおよびParquet形式のデータレイクに保存されたデータに対して直接クエリ実行できるようになったことを発表した。

Amazon S3 Vectors now supports metadata pre filtering, delivering up to 5x higher recall on filtered searches. Filters evaluate before similarity search so scoped queries return more relevant results. Ideal for RAG, agentic apps, and document search.

Understand the fundamentals of Amazon S3, including buckets, objects, storage classes, and common use cases.

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.

Practical ways to cut S3 costs: choose the right storage class, design data transfer paths early, and weigh the true TCO of managed versus self-run storage.

An RL agent with network topology copied directly from a real FlyWire connectome circuit (optomotor pathway), trained with PPO to dodge obstacles as a pig. Compared against a matched random-wiring baseline and an ablation on SageMaker, with a Bedrock agent supervising training. Honest result inside — including where the hypothesis didn't hold up cleanly.