#amazons3

Announcing Amazon S3 Files, making S3 buckets accessible as file systems S3 Files delivers a shared file system that connects any AWS compute resource directly with your data in Amazon S3. With S3 Files, Amazon S3 is the first and only cloud object store that provides fully-featured, high-performance file system access to your data. It provides 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 your S3 data as a file system using the tools they already depend on. Built using Amazon EFS, S3 Files gives you the performance and simplicity of a file system with the scalability, durability, and cost-effectiveness of S3. You no longer need to duplicate your data or cycle it between object storage and file system storage. S3 Files maintains a view of the objects in your bucket and intelligently translates your file system operations into efficient S3 requests on your behalf. Your file-based applications run on your S3 data with no code changes, AI agents persist memory and share state across pipelines, and ML teams run data preparation workloads without duplicating or staging files first. Now, file-based tools and applications across your organization can work with your S3 data directly from any compute instance, container, and function using the tools your teams and agents already depend on. Organizations store their analytics data and data lakes in S3, but file-based tools, agents, and applications have never been able to directly work with that data. Bridging that gap meant managing a separate file system, duplicating data, and building complex pipelines to keep object and file storage in sync. S3 Files eliminates that friction and overhead. Using S3 Files, your data is accessible through the file system and directly through S3 APIs at the same time. Thousands of compute resources can connect to the same S3 file system simultaneously, enabling shared access across clusters without duplicating data. S3 Files works with all of your new and existing data in S3 buckets, with no migration required. S3 Files caches actively used data for low-latency access and provides up to multiple terabytes per second of aggregate read throughput, so storage never limits performance. There are no data silos, no synchronization complexities, and no tradeoffs. File and object storage, together in one place without compromise. S3 Files is now generally available in 34 AWS Regions. For the full list of supported Regions, visit the AWS Capabilities tool. To learn more, visit the product page, S3 pricing page, documentation, and AWS News Blog.

1 day ago

🆕 Amazon S3 Files now lets AWS compute resources directly access S3 data as a file system, bridging the gap for file-based tools. It offers full file system semantics, low latency, and scalability without data duplication, now available in 34 regions.

#AWS #AmazonS3

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Announcing Amazon S3 Files, making S3 buckets accessible as file systems S3 Files delivers a shared file system that connects any AWS compute resource directly with your data in Amazon S3. With S3 Files, Amazon S3 is the first and only cloud object store that provides fully-featured, high-performance file system access to your data. It provides 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 your S3 data as a file system using the tools they already depend on. Built using Amazon EFS, S3 Files gives you the performance and simplicity of a file system with the scalability, durability, and cost-effectiveness of S3. You no longer need to duplicate your data or cycle it between object storage and file system storage. S3 Files maintains a view of the objects in your bucket and intelligently translates your file system operations into efficient S3 requests on your behalf. Your file-based applications run on your S3 data with no code changes, AI agents persist memory and share state across pipelines, and ML teams run data preparation workloads without duplicating or staging files first. Now, file-based tools and applications across your organization can work with your S3 data directly from any compute instance, container, and function using the tools your teams and agents already depend on. Organizations store their analytics data and data lakes in S3, but file-based tools, agents, and applications have never been able to directly work with that data. Bridging that gap meant managing a separate file system, duplicating data, and building complex pipelines to keep object and file storage in sync. S3 Files eliminates that friction and overhead. Using S3 Files, your data is accessible through the file system and directly through S3 APIs at the same time. Thousands of compute resources can connect to the same S3 file system simultaneously, enabling shared access across clusters without duplicating data. S3 Files works with all of your new and existing data in S3 buckets, with no migration required. S3 Files caches actively used data for low-latency access and provides up to multiple terabytes per second of aggregate read throughput, so storage never limits performance. There are no data silos, no synchronization complexities, and no tradeoffs. File and object storage, together in one place without compromise. S3 Files is now generally available in 34 AWS Regions. For the full list of supported Regions, visit the https://builder.aws.com/build/capabilities. To learn more, visit the https://aws.amazon.com/s3/features/files/, https://aws.amazon.com/s3/pricing/, https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-files.html, and https://aws.amazon.com/blogs/aws/launching-s3-files-making-s3-buckets-accessible-as-file-systems.

1 day ago

Announcing Amazon S3 Files, making S3 buckets accessible as file systems

S3 Files delivers a shared file system that connects any AWS compute resource directly with your data in Amazon S3. With S3 Files, Amazon S3 is the first and only cloud object store that provides fully-f...

#AWS #AmazonS3

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Pure Tech

@puretech.news

1 day ago

Amazon revamps S3 cloud storage for the AI era, removing a key barrier for apps and agents Amazon Web Services is making it possible to access data stored in its S3 cloud storage service as a traditional file system, bridging a divide between two types of storage that has frustrated developers and data scientists for nearly two decades.

Amazon revamps S3 cloud storage for the AI era, removing a key barrier for apps and agents #Technology #Business #IndustryGiants #AmazonS3 #CloudStorage #AI

www.geekwire.com/2026/amazon-revamps-s3-c...

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Amazon S3 starts rolling out new security best practice to new and existing buckets by default As announced on November 19, 2025, Amazon S3 is now deploying a new default bucket security setting which will automatically disable server-side encryption with customer-provided keys (SSE-C) for all new general purpose buckets. For existing buckets in AWS accounts with no SSE-C encrypted objects, S3 will also disable SSE-C for all new write requests. For AWS accounts with SSE-C usage, S3 will not change the bucket encryption configuration on any of the existing buckets in those accounts. To learn more about this change, visit the S3 User Guide. Amazon S3 will deploy this new default to both new and existing general purpose buckets in 37 AWS Regions including the AWS China and AWS GovCloud (US) Regions over the next few weeks.

2 days ago

🆕 Amazon S3 rolls out new default security settings to disable SSE-C for new and existing buckets in 37 regions, enhancing encryption practices. For accounts without SSE-C, it's disabled for new writes. No changes for accounts using SSE-C. More details in the S3 User Guide.

#AWS #AmazonS3

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Amazon S3 starts rolling out new security best practice to new and existing buckets by default As https://aws.amazon.com/blogs/storage/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/, Amazon S3 is now deploying a new default bucket security setting which will automatically disable server-side encryption with customer-provided keys (SSE-C) for all new general purpose buckets. For existing buckets in AWS accounts with no SSE-C encrypted objects, S3 will also disable SSE-C for all new write requests. For AWS accounts with SSE-C usage, S3 will not change the bucket encryption configuration on any of the existing buckets in those accounts. To learn more about this change, visit the https://docs.aws.amazon.com/AmazonS3/latest/userguide/default-s3-c-encryption-setting-faq.html. Amazon S3 will deploy this new default to both new and existing general purpose buckets in 37 AWS Regions including the AWS China and AWS GovCloud (US) Regions over the next few weeks.

2 days ago

Amazon S3 starts rolling out new security best practice to new and existing buckets by default

As aws.amazon.com/blogs/storage/advanced-n... Ama...

#AWS #AmazonS3

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@cloudsee.bsky.social

2 days ago

Amazon S3 Doesn’t Lose Your Files » CloudSee Drive Lack of visibility is the real challenge in managing Amazon S3 storage. CloudSee Drive helps teams fix search, tagging, and lifecycle drift.

Hot take: your S3 problem isn't storage. It's visibility.

AWS guarantees 11 nines of durability. They guarantee nothing about your ability to find a file. At scale, "it's in there somewhere" is not a workflow.

www.cloudseedrive.com/s3-does-not-...

#AWS #AmazonS3 #cloudsee #tagexplorer

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Amazon S3 Express One Zone now supports request metrics in Amazon CloudWatch Amazon S3 Express One Zone, a high performance S3 storage class for latency-sensitive applications, now supports request metrics in Amazon CloudWatch. You can use request metrics to track performance and monitor the operational health of applications that use S3 Express One Zone. In addition to existing storage metrics, you can now use request metrics to monitor request counts, data transfer volumes, error rates, and latency measurements at minute-level granularity. These request metrics are available through the CloudWatch console, S3 console, S3 API, and AWS CLI. CloudWatch request metrics for S3 Express One Zone are available in all AWS Regions where the storage class is available. For pricing information, visit the CloudWatch pricing page. To learn more, visit the S3 Express One Zone overview page and documentation.

1 week ago

🆕 Amazon S3 Express One Zone now supports request metrics in Amazon CloudWatch, enabling minute-level monitoring of request counts, data transfer volumes, error rates, and latency for latency-sensitive applications. Available in all regions where the storage class is offered.

#AWS #AmazonS3

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Amazon S3 Express One Zone now supports request metrics in Amazon CloudWatch Amazon S3 Express One Zone, a high performance S3 storage class for latency-sensitive applications, now supports request metrics in Amazon CloudWatch. You can use request metrics to track performance and monitor the operational health of applications that use S3 Express One Zone. In addition to existing storage metrics, you can now use request metrics to monitor request counts, data transfer volumes, error rates, and latency measurements at minute-level granularity. These request metrics are available through the CloudWatch console, S3 console, S3 API, and AWS CLI. CloudWatch request metrics for S3 Express One Zone are available in all https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-express-Endpoints.html . For pricing information, visit the https://aws.amazon.com/cloudwatch/pricing/. To learn more, visit the https://aws.amazon.com/s3/storage-classes/express-one-zone/ and https://docs.aws.amazon.com/AmazonS3/latest/userguide/cloudwatch-monitoring-directory-buckets.html.

1 week ago

Amazon S3 Express One Zone now supports request metrics in Amazon CloudWatch

Amazon S3 Express One Zone, a high performance S3 storage class for latency-sensitive applications, now supports request metrics in Amazon CloudWatch. You can use request metrics to track performan...

#AWS #AmazonS3

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Amazon S3 Vectors expands to 17 additional AWS Regions Amazon S3 Vectors is now available in 17 additional AWS Regions: Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (New Zealand), Asia Pacific (Osaka), Asia Pacific (Taipei), Asia Pacific (Thailand), Canada West (Calgary), Europe (Milan), Europe (Spain), Europe (Zurich), Mexico (Central), South America (Sao Paulo), and US West (N. California). Amazon S3 Vectors is the first cloud object storage with native support for storing and querying vectors. It delivers purpose-built, cost-optimized vector storage for AI agents, inference, Retrieval Augmented Generation (RAG), and semantic search at billion-vector scale. S3 Vectors is designed to provide the same elasticity, durability, and availability as Amazon S3. With a dedicated set of APIs, you can store and query up to two billion vectors per vector index and elastically scale to 10,000 vector indexes per vector bucket without provisioning any infrastructure. Infrequent queries return results in under one second, with frequent queries resulting in latencies as low as 100 milliseconds. S3 Vectors is natively integrated with Amazon Bedrock Knowledge Bases so you can reduce the cost of using large vector datasets for RAG. With this expansion, S3 Vectors is now available in 31 AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page and documentation.

1 week ago

🆕 Amazon S3 Vectors expands to 17 more AWS Regions, now available in 31 locations globally, offering cost-optimized vector storage for AI, RAG, and semantic search, with elastic scalability and low latencies.

#AWS #AmazonS3

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Amazon S3 Vectors expands to 17 additional AWS Regions Amazon S3 Vectors is now available in 17 additional AWS Regions: Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (New Zealand), Asia Pacific (Osaka), Asia Pacific (Taipei), Asia Pacific (Thailand), Canada West (Calgary), Europe (Milan), Europe (Spain), Europe (Zurich), Mexico (Central), South America (Sao Paulo), and US West (N. California). Amazon S3 Vectors is the first cloud object storage with native support for storing and querying vectors. It delivers purpose-built, cost-optimized vector storage for AI agents, inference, Retrieval Augmented Generation (RAG), and semantic search at billion-vector scale. S3 Vectors is designed to provide the same elasticity, durability, and availability as Amazon S3. With a dedicated set of APIs, you can store and query up to two billion vectors per vector index and elastically scale to 10,000 vector indexes per vector bucket without provisioning any infrastructure. Infrequent queries return results in under one second, with frequent queries resulting in latencies as low as 100 milliseconds. S3 Vectors is natively integrated with Amazon Bedrock Knowledge Bases so you can reduce the cost of using large vector datasets for RAG. With this expansion, S3 Vectors is now available in 31 https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-vectors-regions-quotas.html. For pricing details, visit the https://aws.amazon.com/s3/pricing/. To learn more, visit the https://aws.amazon.com/s3/features/vectors/ and https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-vectors.html.

1 week ago

Amazon S3 Vectors expands to 17 additional AWS Regions

Amazon S3 Vectors is now available in 17 additional AWS Regions: Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacifi...

#AWS #AmazonS3

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@cloudsee.bsky.social

1 week ago

Egress Fees Are a Tax on Bad Architecture » CloudSee Drive AWS S3 egress fees aren’t a pricing bug. Tthey’re a design problem. Learn how you can cut your egress costs by 90% or more.

That growing line on your AWS bill labeled "data transfer"? Not a mistake...it's a design flaw.

S3 egress without CloudFront, NAT Gateway routing, cross-region reads. Fast fixes, big savings.

www.cloudseedrive.com/egress-fees/

#AWS #AmazonS3 #FinOps #CloudCosts

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DigitalNaiv = Stefan Pfeiffer

@digitalnaiv.bsky.social

2 weeks ago

20 Jahre Amazon S3 – und aus der Idee ist ein strukturelles Abhängigkeitsmodell geworden. @heise, wie bequem skalierbarer Speicher zum „goldenen Käfig“ mutiert: technisch brillant, ökonomisch fesselnd. Wer einmal drin ist, kommt schwer wieder raus
#Cloud #AmazonS3 #Digitalisierung bit.ly/4buWE3c

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2 weeks ago

🗺️ Simplifica la gestión de tus buckets de Amazon S3

aws.amazon.com/blogs/aws/introducing-ac...

#AWS #AmazonS3 #CloudComputing #Almacenamiento

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2 weeks ago

🎉 Amazon S3 cumple 20 años: ¿Qué viene ahora?

aws.amazon.com/blogs/aws/twenty-years-o...

#AmazonS3 #AWS #CloudComputing #Tecnología

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2 weeks ago

🎂 Amazon S3 cumple 20 años: así revolucionó el almacenamiento en la nube

aws.amazon.com/blogs/aws/twenty-years-o...

#AWS #AmazonS3 #CloudComputing #Tecnologia

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2 weeks ago

🎂 ¡Amazon S3 cumple 20 años! Y más novedades AWS

aws.amazon.com/blogs/aws/aws-weekly-rou...

#AWS #CloudComputing #AmazonS3 #Tecnología

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2 weeks ago

🎂 ¡Amazon S3 cumple 20 años! Y más novedades de AWS

aws.amazon.com/blogs/aws/aws-weekly-rou...

#AWS #CloudComputing #AmazonS3 #Tecnología

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@cloudsee.bsky.social

2 weeks ago

AWS finally killed S3 bucketsquatting.

New account-regional namespaces prevent attackers from registering your deleted bucket names and intercepting traffic.

Catch: existing buckets aren't protected.

Worth reading if you manage S3 at any scale.

news.risky.biz/risky-bullet...

#AWS #S3 #amazons3

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2 weeks ago

🗓️ Resumen Semanal AWS: S3 cumple 20 años, Route 53 Global Resolver disponible y más (16 Mar 2026)

aws.amazon.com/blogs/aws/aws-weekly-rou...

#AmazonS3 #Route53 #ObjectStorage #AWS #RoxsRoss

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Amazon S3 Access Grants are now available in the AWS Asia Pacific (New Zealand) Region You can now create Amazon S3 Access Grants in the AWS Asia Pacific (New Zealand) Region. Amazon S3 Access Grants map identities in directories such as Microsoft Entra ID, or AWS Identity and Access Management (IAM) principals, to datasets in S3. This helps you manage data permissions at scale by automatically granting S3 access to end users based on their corporate identity. Visit the AWS Region Table for complete regional availability information. To learn more about Amazon S3 Access Grants, visit our product page.

3 weeks ago

🆕 Amazon S3 Access Grants are now available in AWS Asia Pacific (New Zealand). They map identities to S3 datasets for scalable permissions, automatically granting access based on corporate identity. For regional details, see the AWS Region Table. Learn more on the product page.

#AWS #AmazonS3

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Amazon S3 Access Grants are now available in the AWS Asia Pacific (New Zealand) Region You can now create Amazon S3 Access Grants in the AWS Asia Pacific (New Zealand) Region. Amazon S3 Access Grants map identities in directories such as Microsoft Entra ID, or AWS Identity and Access Management (IAM) principals, to datasets in S3. This helps you manage data permissions at scale by automatically granting S3 access to end users based on their corporate identity. Visit the https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-grants-limitations.html#access-grants-limitations-regions for complete regional availability information. To learn more about Amazon S3 Access Grants, visit our https://aws.amazon.com/s3/features/access-grants/.

3 weeks ago

Amazon S3 Access Grants are now available in the AWS Asia Pacific (New Zealand) Region

You can now create Amazon S3 Access Grants in the AWS Asia Pacific (New Zealand) Region.

Amazon S3 Access Grants map identities in directories such as Microsoft Entra ID, or AWS Identity ...

#AWS #AmazonS3

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Simplified permissions for Amazon S3 Tables and Iceberg materialized views AWS Glue Data Catalog now supports AWS IAM-based authorization for Amazon S3 Tables and Apache Iceberg materialized views. With IAM-based authorization, you can define all necessary permissions across storage, catalog, and query engines in a single IAM policy. This capability simplifies the integration of S3 Tables or materialized views with any AWS Analytics service, including Amazon Athena, Amazon EMR, Amazon Redshift, and AWS Glue. You can also opt in to AWS Lake Formation at any time to manage fine-grained access controls using the AWS Management Console, AWS CLI, API, and AWS CloudFormation. This feature is now available in select AWS Regions. To learn more, visit the S3 Tables documentation and the AWS Glue Data Catalog documentation.

3 weeks ago

🆕 AWS Glue Data Catalog now supports IAM-based authorization for S3 Tables and Iceberg views, simplifying permissions via a single policy. This boosts integration with AWS analytics services and is available in select regions. Learn more in the docs.

#AWS #AwsGlue #AmazonS3

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Simplified permissions for Amazon S3 Tables and Iceberg materialized views AWS Glue Data Catalog now supports AWS IAM-based authorization for Amazon S3 Tables and Apache Iceberg materialized views. With IAM-based authorization, you can define all necessary permissions across storage, catalog, and query engines in a single IAM policy. This capability simplifies the integration of S3 Tables or materialized views with any AWS Analytics service, including Amazon Athena, Amazon EMR, Amazon Redshift, and AWS Glue. You can also opt in to AWS Lake Formation at any time to manage fine-grained access controls using the AWS Management Console, AWS CLI, API, and AWS CloudFormation. This feature is now available in select AWS Regions. To learn more, visit the https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-integration-overview.html and the https://docs.aws.amazon.com/glue/latest/dg/glue-federation-s3tables.html.

3 weeks ago

Simplified permissions for Amazon S3 Tables and Iceberg materialized views

AWS Glue Data Catalog now supports AWS IAM-based authorization for Amazon S3 Tables and Apache Iceberg materialized views. With IAM-based authorization, you can define all necessary permissions ...

#AWS #AwsGlue #AmazonS3

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Amazon Neptune now supports reading S3 data using openCyper Amazon Neptune now supports reading data from Amazon S3 within openCypher queries. Through the new `neptune.read()` procedure, customers now have an additional option of federating with external data stored in S3 versus needing to load data into Neptune. Organizations using Neptune for graph analytics can now dynamically incorporate S3-stored data without the traditional multi-step workflow requirements. Key use cases include real-time graph analytics that combine S3 data with existing graph structures, dynamic node and edge creation from external datasets, and complex graph queries requiring external reference data. The procedure supports comprehensive data types including standard and Neptune-specific formats such as geometry and datetime, while maintaining security through the caller's IAM credentials. Read from S3 is available in all regions where Amazon Neptune Database is currently offered. To learn more, check out the Neptune Database documentation.

3 weeks ago

🆕 Amazon Neptune now supports reading S3 data in openCypher queries via `neptune.read()`, enabling dynamic incorporation of external datasets for real-time analytics, node creation, and complex queries, all secured by IAM. Available in all Neptune regions.

#AWS #AmazonNeptune #AmazonS3

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