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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.

🆕 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.

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.

🆕 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.

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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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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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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🗺️ Simplifica la gestión de tus buckets de Amazon S3

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

#AWS #AmazonS3 #CloudComputing #Almacenamiento

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

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

#AmazonS3 #AWS #CloudComputing #Tecnología

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🎂 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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🎂 ¡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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🎂 ¡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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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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🗓️ 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.

🆕 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/.

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.

🆕 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.

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.

🆕 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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Amazon Neptune now supports reading S3 data using openCyper https://aws.amazon.com/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 https://docs.aws.amazon.com/neptune/latest/userguide/intro.html.

Amazon Neptune now supports reading S3 data using openCyper

https://aws.amazon.com/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...

#AWS #AmazonNeptune #AmazonS3

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How to create s3 bucket Creating an S3 (Simple Storage Service) bucket is one of the fundamental steps in working with Amazon Web Services (AWS) for data storage. AWS S3 offers highly scalable, reliable, and low-cost data...

How to create s3 bucket
www.ekascloud.com/our-blog/how...
#AWSS3 #AmazonS3 #AWS #CloudComputing #AWSForBeginners #S3Bucket #CloudStorage #LearnAWS #DevOps #CloudTraining #TechEducation #ITSkills #Ekascloud #CloudTutorial ☁️💻🚀

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Secure, Store, and Scale How to Create Your First Amazon S3 Bucket Amazon Web Services (AWS) has revolutionized cloud computing, and its Simple Storage Service (S3) is at the core of its offerings. Amazon S3 allows businesses and developers to securely store, acce...

Secure, Store, and Scale How to Create Your First Amazon S3 Bucket
www.ekascloud.com/our-blog/sec...
#AmazonS3 #AWS #CloudComputing #AWSTutorial #CloudStorage #LearnAWS #CloudTechnology #TechTutorial #Ekascloud #AWSCloud #DevOps #CloudLearning #ITSkills #TechEducation

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Amazon S3 anniversary marks 20 years of evolution - SiliconANGLE Just in time for Pi Day, Amazon S3 anniversary celebrations mark 20 years of evolution from cloud storage service to a core layer of infrastructure at AWS.

Twenty years in, Amazon S3 finds itself at the center of AWS’ push beyond storage #Technology #Business #IndustryGiants #AWS #CloudComputing #AmazonS3

siliconangle.com/2026/03/14/amazon-s3-ann...

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🗂️ Presentamos los espacios de nombres regionales de cuenta para los buckets de propósito general de Amazon S3

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

#AmazonS3 #DataStorage #Infraestructura #AWS #RoxsRoss

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Amazon S3 introduces account regional namespaces for general purpose buckets You can now create Amazon S3 general purpose buckets in your own reserved namespace, eliminating the need to find globally unique bucket names and making it easier to build workloads that utilize a bucket per customer, team, or dataset. With account regional namespaces, you can create predictable bucket names across multiple AWS Regions with assurance that the names you want will always be available for you to use. Account regional namespaces help simplify bucket creation and management as your data storage needs grow in size and scope. To get started, add the new bucket namespace request header when creating buckets through the CreateBucket API or by updating your AWS CloudFormation templates to include your unique account regional suffix in the requested name. Additionally, cloud security teams can use service control policies (SCP) and IAM policies to enforce that users only create buckets in their account regional namespace, helping teams enforce consistent bucket naming practices across their enterprise. Account regional namespaces for S3 general purpose buckets are now available in 37 AWS Regions including the AWS China and AWS GovCloud (US) Regions at no additional cost through the AWS Management Console, S3 REST API, AWS CLI, AWS SDK, and AWS CloudFormation. To learn more, read the AWS News Blog or visit the S3 user guide.

🆕 Amazon S3 introduces regional namespaces for general buckets, letting users create unique names per customer or team in 37 regions at no extra cost. This simplifies management and naming via SCP and IAM policies.

#AWS #AmazonS3

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Amazon S3 introduces account regional namespaces for general purpose buckets You can now create Amazon S3 general purpose buckets in your own reserved namespace, eliminating the need to find globally unique bucket names and making it easier to build workloads that utilize a bucket per customer, team, or dataset. With account regional namespaces, you can create predictable bucket names across multiple AWS Regions with assurance that the names you want will always be available for you to use. Account regional namespaces help simplify bucket creation and management as your data storage needs grow in size and scope. To get started, add the new bucket namespace request header when creating buckets through the CreateBucket API or by updating your AWS CloudFormation templates to include your unique account regional suffix in the requested name. Additionally, cloud security teams can use service control policies (SCP) and IAM policies to enforce that users only create buckets in their account regional namespace, helping teams enforce consistent bucket naming practices across their enterprise. Account regional namespaces for S3 general purpose buckets are now available in 37 AWS Regions including the AWS China and AWS GovCloud (US) Regions at no additional cost through the AWS Management Console, S3 REST API, AWS CLI, AWS SDK, and AWS CloudFormation. To learn more, read the https://aws.amazon.com/blogs/aws/introducing-account-regional-namespaces-for-amazon-s3-general-purpose-buckets/ or visit the https://docs.aws.amazon.com/AmazonS3/latest/userguide/gpbucketnamespaces.html. 

Amazon S3 introduces account regional namespaces for general purpose buckets

You can now create Amazon S3 general purpose buckets in your own reserved namespace, eliminating the need to find globally unique bucket names and making it easier to build workloads that utilize a buc...

#AWS #AmazonS3

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Fixing Amazon S3 Browser Uploads » CloudSee Drive Learn why many S3 browser tools fail above 5GB and how CloudSee Drive fixes large file uploads with multipart support.

Your #S3 browser is lying to you about large file uploads.The S3 PUT API caps at 5GB. Above that, tools must use the multipart upload API. Most either skip it or botch it.

Fix: cloudseedrive.com/amazon-s3-browser-uploads/

#AmazonS3 #aws #cloudsee

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Amazon S3 Tables are now available in AWS GovCloud (US) Regions Amazon S3 Tables are now available in AWS GovCloud (US-East) and AWS GovCloud (US-West). Amazon S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, offering optimized tabular data storage at scale. S3 Tables are designed to perform continual table maintenance to automatically optimize query efficiency and storage cost over time, even as your data lake scales and evolves. With S3 Tables support for the Apache Iceberg standard, your tabular data can be easily queried by popular AWS and third-party query engines. Additionally, with the Intelligent-Tiering storage class, S3 Tables automatically manage costs based on access patterns, without performance impact or operational overhead. For a full list of AWS Regions where S3 Tables are available, see S3 Tables AWS Regions and endpoints. To learn more, visit the product page, documentation, and the Amazon S3 pricing page.

🆕 Amazon S3 Tables in AWS GovCloud (US) now support Apache Iceberg for optimized tabular data. They use Intelligent-Tiering for cost management, boosting scalability. For region specifics, check AWS S3 Tables page.

#AWS #AmazonS3

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Amazon S3 Tables are now available in AWS GovCloud (US) Regions Amazon S3 Tables are now available in AWS GovCloud (US-East) and AWS GovCloud (US-West). Amazon S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, offering optimized tabular data storage at scale. S3 Tables are designed to perform continual table maintenance to automatically optimize query efficiency and storage cost over time, even as your data lake scales and evolves. With S3 Tables support for the Apache Iceberg standard, your tabular data can be easily queried by popular AWS and third-party query engines. Additionally, with the Intelligent-Tiering storage class, S3 Tables automatically manage costs based on access patterns, without performance impact or operational overhead. For a full list of AWS Regions where S3 Tables are available, see https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-regions-quotas.html. To learn more, visit the https://aws.amazon.com/s3/features/tables/, https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables.html, and the https://aws.amazon.com/s3/pricing/.

Amazon S3 Tables are now available in AWS GovCloud (US) Regions

Amazon S3 Tables are now available in AWS GovCloud (US-East) and AWS GovCloud (US-West).

Amazon S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, offering optimized tabular d...

#AWS #AmazonS3

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Close the S3 Breach Vector » CloudSee Drive Learn how to resolve the s3 breach legacy vector problem in Amazon S3 buckets, identify risky public access, and phase in IAM & ACL updates.

If “S3 breach” feels like a repeating headline, it’s because the pattern hasn’t changed: legacy buckets, misconfig, and zero dependency visibility.

Treat S3 like a controlled change, not a guessing game: ​
www.cloudseedrive.com/s3-breach-ve...

#S3Breach #AWSSecurity #AmazonS3 #CloudSeeDrive

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Amazon S3 Access Grants are now available in the AWS Asia Pacific (Taipei) Region You can now create Amazon S3 Access Grants in the AWS Asia Pacific (Taipei) 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/.

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

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

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

#AWS #AmazonS3

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