AWS Storage Blog

Tag: Amazon Simple Storage Service (Amazon S3)

Lower your Amazon S3 backup costs with AWS Backup S3 tiering

Organizations face a critical challenge in data protection: how to retain ever-increasing volumes of backup data for extended periods while maintaining cost efficiency. Regulatory mandates, internal governance policies, and comprehensive disaster recovery strategies often necessitate preserving backups for months or even years. At the same time, the threat landscape continues to evolve, with sophisticated ransomware […]

Access Analyzer for Amazon S3

Advanced notice: Amazon S3 to disable the use of SSE-C encryption by default for all new buckets and select existing buckets in April 2026

Starting on April 6, 2026, we will be changing how server-side encryption with customer-provided keys (SSE-C) is enabled for Amazon S3 buckets. With this change, SSE-C will be disabled by default on all new S3 general purpose buckets. Furthermore, SSE-C will also be disabled for all existing buckets in Amazon Web Services (AWS) Accounts that […]

Amazon S3 Multi-Region Access Points

How to use Amazon S3 Multi-Region Access Points to streamline and reduce the cost of writing across AWS Regions

Large global organizations often struggle to efficiently manage data copies across different geographic regions when using distributed object storage services. Although several approaches exist for cross-region data writing, common solutions such as data replication or streaming can be costly and introduce latency issues. Many customers have core services deployed globally across multiple Amazon Web Services […]

Build intelligent ETL pipelines using AWS Model Context Protocol and Amazon Q

Data scientists and engineers spend hours writing complex data pipelines to extract, transform, and load (ETL) data from various sources into their data lakes for data integration and creating unified data models to build business insights. The process involves understanding the source and target systems, discovering schemas, mapping source and target, writing and testing ETL […]

Optimizing recommendations and analytics using Amazon DynamoDB and Amazon S3

Today, consumers navigate thousands of products on e-commerce sites, hundreds of shows on streaming platforms, and countless options in digital marketplaces. This choice overload creates decision fatigue, yet consumers continue to demand more variety and make more purchases online. As a result, personalization has become essential—consumers reward brands that deliver relevant, tailored online experiences. However, […]

Cross-account Amazon S3 bulk transfers with enhanced AWS KMS support

Cross-account Amazon S3 bulk transfers with enhanced AWS Key Management Service (AWS KMS) support become increasingly critical as organizations grow and accumulate vast amounts of digital assets across their enterprise. Managing millions or even billions of files presents unique challenges, especially when these files need to be moved securely between different AWS accounts. Operations such […]

Amazon S3 Metadata thumbnail image

Derive intelligent storage insights using S3 Metadata and Model Context Protocol (MCP)

Organizations face mounting challenges in managing and operationalizing their ever-growing data assets for machine learning and analytics workflows. When dealing with billions and trillions of objects, teams struggle to find what data they have and how to efficiently find specific datasets. Without proper data discovery and metadata management, teams spend valuable time searching for relevant […]

Accelerating Amazon S3 Batch Operations at scale with on-demand manifest generation

Modern enterprises routinely manage billions of objects across their cloud storage environments, needing efficient bulk operations for disaster recovery, compliance management, data transfer, and cost optimization. Performing these operations manually or through custom scripts becomes impractical at scale, often creating operational bottlenecks when time-sensitive actions are necessary. Organizations frequently need to identify and process specific […]

Building self-managed RAG applications with Amazon EKS and Amazon S3 Vectors

Retrieval-Augmented Generation (RAG) is a technique that optimizes large language model (LLM) outputs by referencing authoritative knowledge bases outside of the model’s training data before generating responses. This addresses common limitations of traditional LLMs, such as outdated knowledge, hallucinated facts, and misinterpreted terminology. Organizations can implement RAG to enhance their generative AI applications with current, […]

Amazon S3 Tables

How Zeta Global scales multi-tenant data ingestion with Amazon S3 Tables

Zeta Global is a data-driven marketing technology company that uses consumer insights to empower brands in customer acquisition, growth, and retention. At the core of its operations is the Zeta Marketing Platform, an advanced system that applies sophisticated AI and machine learning (ML) capabilities on proprietary data from over 245 million U.S. consumer profiles. This […]