AWS AmazonS3 documentation change
Summary
Announced deprecation of S3 Object Lambda for new customers, updated service names to 'Quick Suite', and maintained security references in S3 Tables documentation
Security assessment
The Object Lambda deprecation notice is a service availability change without security context. References to Lake Formation's security controls are maintained but not newly added. QuickSuite changes are branding updates.
Diff
diff --git a/AmazonS3/latest/userguide/WhatsNew.md b/AmazonS3/latest/userguide/WhatsNew.md index e484c066b..6ea7d9200 100644 --- a//AmazonS3/latest/userguide/WhatsNew.md +++ b//AmazonS3/latest/userguide/WhatsNew.md @@ -17,0 +18 @@ Change| Description| Date +S3 Object Lambda will no longer be open to new customers starting starting on November 7th, 2025| S3 Object Lambda will no longer be open to new customers starting November 7, 2025. If you would like to use S3 Object Lambda, sign up prior to that date. Existing customers can continue to use the service as normal. For more information, see [Amazon S3 Object Lambda availability change](https://docs.aws.amazon.com/AmazonS3/latest/userguide/amazons3-ol-change.html).| October 7, 2025 @@ -30 +31 @@ Access points for directory buckets are available in AWS Local Zones| Directory -S3 table bucket integration with Amazon SageMaker Lakehouse is now generally available| You can integrate S3 table buckets with Amazon SageMaker Lakehouse to access tables from AWS analytics services, such as Amazon Athena, Amazon Redshift, and QuickSight. Amazon SageMaker Lakehouse unifies your data across Amazon S3 data lakes and Amazon Redshift data warehouses, so you can build analytics, machine learning (ML), and generative AI applications on a single copy of data. The integration populates the AWS Glue Data Catalog with your table resources, and federates access to these resources with AWS Lake Formation. The integration enables fine-grained access control through Lake Formation to provide additional security. For more information about integrating, see [Using Amazon S3 Tables with AWS analytics services](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-integrating-aws.html). If you set up the integration with the preview release, you can continue to use your current integration. However, the updated integration process provides performance improvements, so we recommend migrating. To migrate to the updated integration, see [Migrating to the updated integration process](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-integrating-aws.html#migrate-integrate-console).| March 13, 2025 +S3 table bucket integration with Amazon SageMaker Lakehouse is now generally available| You can integrate S3 table buckets with Amazon SageMaker Lakehouse to access tables from AWS analytics services, such as Amazon Athena, Amazon Redshift, and Quick Suite. Amazon SageMaker Lakehouse unifies your data across Amazon S3 data lakes and Amazon Redshift data warehouses, so you can build analytics, machine learning (ML), and generative AI applications on a single copy of data. The integration populates the AWS Glue Data Catalog with your table resources, and federates access to these resources with AWS Lake Formation. The integration enables fine-grained access control through Lake Formation to provide additional security. For more information about integrating, see [Using Amazon S3 Tables with AWS analytics services](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-integrating-aws.html). If you set up the integration with the preview release, you can continue to use your current integration. However, the updated integration process provides performance improvements, so we recommend migrating. To migrate to the updated integration, see [Migrating to the updated integration process](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables-integrating-aws.html#migrate-integrate-console).| March 13, 2025 @@ -36 +37 @@ AWS managed policies – New policies| S3 Tables added two new AWS managed polic -S3 Tables| Amazon S3 Tables provide S3 storage that’s optimized for analytics workloads, with features that improve query performance, reduce storage costs for tables, and simplify the operation of data lakes at scale. S3 Tables introduces a new bucket type: table buckets, which are purpose-built for storing Apache Iceberg tables as subresources. Table buckets provide higher transactions per second (TPS) and better query throughput compared to self-managed tables in S3 general purpose buckets. You can automatically integrate your table buckets with AWS analytics services, such as Athena, Amazon Redshift QuickSight, and more. For more information, see [Working with Amazon S3 Tables and table buckets ](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables.html). | December 3, 2024 +S3 Tables| Amazon S3 Tables provide S3 storage that’s optimized for analytics workloads, with features that improve query performance, reduce storage costs for tables, and simplify the operation of data lakes at scale. S3 Tables introduces a new bucket type: table buckets, which are purpose-built for storing Apache Iceberg tables as subresources. Table buckets provide higher transactions per second (TPS) and better query throughput compared to self-managed tables in S3 general purpose buckets. You can automatically integrate your table buckets with AWS analytics services, such as Athena, Amazon Redshift Quick Suite, and more. For more information, see [Working with Amazon S3 Tables and table buckets ](https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-tables.html). | December 3, 2024