AWS Storage Blog

How MIXI built natural language search over billions of photos with Amazon S3 Vectors

MIXI, Inc. operates FamilyAlbum, a service that approximately 30 million registered users rely on to share photos and videos with the people closest to them. As of January 2026, families have shared more than 20 billion photos and videos through the service. They can rediscover a specific precious moment — a baby’s first swim, an […]

Data-driven planning for cloud migration using AWS Storage Assessment

Data is the foundation of AWS Cloud migration, and choosing the right storage services is one of the earliest, most critical decisions enterprises face. Migrating to AWS storage is a chance to get right-size: you drop the wasted capacity you’ve been paying for and avoid the hardware refresh cycle that makes on-premises scaling so painful. […]

Inside the AWS Storage Assessment: How intelligent analysis replaces guesswork

A completed storage assessment looks simple: an AWS Storage service recommended per workload, capacity and performance recommendations, and cost. This post walks through the analysis of how we go from analyzed data to right-sizing on AWS. In Part 1 of this series, we covered what an AWS Storage Assessment delivers: service recommendations, right-sized configurations, and […]

Planning data protection before migration: How AWS Storage Assessments model backup and disaster recovery costs

Data Protection and disaster recovery is an important part of any migration. Customers often only consider this once they have already migrated, which increases budgets beyond the initial estimate. The AWS Storage Assessment solves this: the same source telemetry that sizes your primary storage also produces your data protection costs. No additional data collection, no […]

Running Apache Kafka with Amazon S3 Files

S3 Files is a shared file system that connects any AWS compute directly with your data in Amazon S3. It provides fast, direct access to all of your S3 data as files with full file system semantics and low-latency performance, without your data ever leaving S3. That means file-based applications, agents, and teams can now access and work with S3 data as a file system using the tools they already depend on.

Amazon S3 Tables

How Comcast scaled analytics 80x while cutting costs 38% with GraphQL and Amazon S3 Tables

Customer Story | Amazon S3 Tables – Learn how Comcast redesigned their analytics layer with GraphQL and Amazon S3 Tables, scaling to 80x higher concurrent request volumes while cutting costs by 38% and reducing query latency by 28%. Comcast is building America’s largest and most intelligent broadband network with a simple purpose: connect everyone, everywhere […]

Accelerate inference with KV cache tiering on AWS

When running large language model (LLM) inference at scale on AWS, the GPU might not be the only thing that limits you. The GPU generates tokens fast, but what then contributes to performance is everything around it: memory, storage, and the network path that connects them. That’s the difference between a demo and production. Training […]

How Precisely transforms user experience with AI agents using Amazon S3 Vectors

At Precisely, the team is reimagining the user experience for its Data Integrity Suite by adding a conversational interface powered by AI agents to the traditional UI. With this enhancement, users can interact with the platform more naturally and intuitively (asking questions, making requests, and exploring data assets through dialogue) while still benefiting from the […]

Connect workloads to Amazon S3 Files across VPCs and accounts

Organizations store vast amounts of data in Amazon S3 for machine learning, data analytics, media processing, and generative AI workloads. Many of the applications, agents, and teams that work with that data are file-based: they read and write on a mounted path using the file and directory operations and POSIX tools they already depend on. […]

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Build AI-powered file classification with AWS Transfer Family

Organizations that receive files from external partners through SFTP face a persistent operational challenge: routing each file to the correct downstream system. Invoices, contracts, images, CSVs, and reports all arrive in a single landing zone, and each requires a different destination. The traditional approach—pattern-matching on file names with regular expressions—is inherently fragile. It relies on […]