Danilo published a weekly roundup of Amazon Web Services (AWS) releases on the AWS blog, highlighting key updates across various services. One of the notable releases of the week was the Storage Browser for Amazon S3 (alpha release), an open-source Amplify UI React component that developers can add to their web applications. This component provides end-users with a simple interface for accessing data stored in S3, utilizing the new ListCallerAccessGrants API to list all S3 buckets, prefixes, and objects they can access, as defined by their S3 Access Grants.
Another significant update is that Amazon ECS now supports AWS Graviton-based Spot compute with AWS Fargate, allowing for running fault-tolerant Arm-based applications with up to 70% lower costs compared to on-demand. Additionally, both AWS Network Load Balancer and AWS Gateway Load Balancer now support a configurable TCP idle timeout, providing users with more control over connection management.
In database news, Amazon DynamoDB now supports Attribute-Based Access Control (ABAC) for tables and indexes (limited preview), enhancing data security by enabling more granular access policies based on tags. Amazon Redshift also receives updates, with the Amazon Redshift Data API now supporting session reuse, reducing connection setup latency on repeated queries to the same data warehouse.
Beyond launches, the post highlighted upcoming AWS events, including AWS Summits in Toronto and Ottawa, AWS Community Days in the SF Bay Area, Argentina, Armenia, and DACH (Munich), and AWS GenAI Lofts in various locations. These events aim to connect the cloud computing community, provide learning opportunities, and showcase the latest technologies and services from AWS.
This AWS Weekly Roundup serves as a valuable resource for developers and technical professionals to stay informed about the latest developments and innovations within the AWS ecosystem. By providing a comprehensive overview of releases, announcements, and events, it empowers users to leverage the newest offerings and optimize their cloud workloads.
