Amazon Timestream will no longer charge customers for the dimension names and measure names associated with ingesting, storing, and querying data written after July 8, 2022 00:00 UTC. Dimension names and measure names are metadata that is used to identify time series data. With this change, Amazon Timestream provides customers increased flexibility in dimension and measure naming, as well as improved cost-effectiveness of the service. Amazon Timestream will continue to charge for ingesting, storing, and querying the dimension values, measure values, and timestamps associated with time series data. To learn more about costs while using Amazon Timestream, visit our pricing page.
Amazon Redshift announces open source ODBC driver with binary protocol support and enhanced performance
The Amazon Redshift ODBC driver is now open source and available for the user community under the Apache-2.0 license. With this release, customers will gain enhanced visibility to the driver implementation and can contribute to its development. Users can browse the code for the ODBC driver on the relevant AWS GitHub repository, submit driver functionality enhancements through Github pull requests, and report issues for review.
Porting Assistant for .NET adds support for assessment and porting of VB.NET applications to .NET Core
Porting Assistant for .NET now supports assessment and porting of legacy .NET Framework applications written in VB.NET language. With this release, Porting Assistant will translate VB.NET class libraries, web APIs, and console applications to .NET Core 3.1, .NET 5, or .NET 6 to simplify the modernization of legacy .NET Framework applications written in VB.NET . Developers can use the Porting Assistant for .NET standalone tool or Porting Assistant for .NET Visual Studio IDE extension to modernize their legacy VB.NET applications. Support for VB.NET is added in addition to existing support for assessment and porting of C# based .NET Framework applications.
Amazon WorkSpaces Web is now available in Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo) Regions
Amazon WorkSpaces Web is now generally available in AWS Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo) Regions. Creating a WorkSpaces Web portal in a local region provides a more responsive experience for users when streaming web content. It also enables customers to meet local data residency obligations. WorkSpaces Web is now available in a total of 7 regions.
Announcing Cloudscape Design System, an open source solution for building intuitive web applications
Today, we’re excited to announce Cloudscape Design System , an open source solution for building intuitive, engaging, and inclusive user experiences at scale. Cloudscape consists of an extensive set of guidelines to create web applications, along with the design resources and front-end components to streamline implementation.
New Amazon EBS Elastic Volumes automated performance settings make it even easier to modify volumes and save costs
As your application needs change, Amazon EBS Elastic Volumes allows you to easily increase capacity, tune performance, and change the type of Amazon EBS volumes. Customers are using EBS Elastic Volumes to migrate to gp3 volumes and save up to 20% per GB compared to gp2 volumes.
AWS Snowball Edge Storage Optimized devices now supports high performance NFS data transfer in the AWS GovCloud (US) Regions
AWS Snowball Edge (SBE) Storage Optimized devices now support high performance Network File System (NFS) data-transfer operations in the AWS GovCloud (US) Regions. With this launch, AWS GovCloud (US) customers can now transfer up to 80-TBs of data onto Snowball Edge Storage Optimized devices through file or object interfaces. The file interface exposes a Network File System (NFS) mount point for each Amazon S3 bucket on your AWS Snowball Edge Storage Optimized device. After mounting the file share, you can drag and drop files from your computer into S3 buckets on the Snowball Edge device.
AWS Single Sign-On (AWS SSO) adds support for AWS Identity and Access Management (IAM) customer managed policies (CMPs)
AWS Single Sign-On (AWS SSO) now supports AWS Identity and Access Management (IAM) customer managed policies (CMPs) and permission boundary policies within AWS SSO permission sets . The new capability helps AWS SSO customers to improve their security posture by creating larger and finer-grained policies for least privilege access and by tailoring policies to reference the resources of the account to which they are applied. Using CMPs, AWS SSO customers can maintain the consistency of policies, as CMP changes apply automatically to all permission sets and roles that use the CMP. This enables customers to govern their CMPs and permissions boundaries centrally, and allows auditors to find, monitor, and review them. Customers, who have existing CMPs for roles they manage in AWS IAM, can reuse their CMPs without the need to create, review, and approve new in-line policies for permission sets.
AWS re:Post introduces community-generated articles
re:Post now expands the capability for experts community members to share technical guidance and knowledge beyond answering questions through the Articles feature. Using this feature, community members can share best practices, troubleshooting processes, and address customer needs around AWS technology in greater depth. The Articles feature is unlocked for community members who have achieved Rising Star status on re:Post or subject matter experts who built their reputation in the community based on their contributions and certifications. Every article published on re:Post contributes to the growth of AWS public knowledge, improving self-service guidance for all customers and helps accelerate their cloud journey.
AWS Glue Streaming ETL Auto Scaling is now generally available
Auto Scaling in AWS Glue Streaming ETL is now generally available. AWS Glue Streaming ETL jobs can now dynamically scale resources up and down based on the input stream. Auto Scaling helps customers reduce the cost and manual effort required to optimize resources by allocating the right resources necessary for Streaming ETL jobs.