Tag: Internet

AWS Batch now provides Queue and Share Utilization Visibility, giving you insights into how your workloads are distributed across compute resources. This feature introduces queue utilization data in job queue snapshots, revealing compute capacity used by your first-in-first-out (FIFO) and fair share job queues, along with capacity consumption by individual fair share allocations. Additionally, the ListServiceJobs API now includes a scheduledAt timestamp for AWS Batch service jobs, allowing you to track when jobs are scheduled for execution. Queue and Share Utilization Visibility helps you understand which fair-share allocations consume the most capacity and pinpoint the specific jobs driving resource consumption. You can monitor overall queue utilization and drill down into active shares to optimize resource distribution, or filter jobs by share identifier to analyze consumption patterns and scheduling behavior across your workloads. You can access th

Amazon Connect now supports in-app notifications in the workspace header, visible from any page, so your team can stay informed without interrupting their workflow— whether configuring, analyzing data, or servicing customers. A notification icon appears in the header of every workspace page, with a badge indicating unread messages. Click the icon to view messages, access relevant resources through embedded links, and manage read/unread status—all without navigating away from your current task. For example, if all supervisors need to complete a certain training by end of week, a notification can be published to non-compliant users to remind them. The new notification APIs enable you to programmatically send targeted messages to specific audiences within your organization, ensuring teams stay aware of urgent updates, policy changes, and action items requiring immediate attention. Amazon Connect will also leverage this capability to deliver system updates and important ann

Amazon Connect now provides AI-powered Task overviews with suggested next actions so agents can understand work items faster and resolve them more quickly. For example, when an agent receives a Task to process a refund request submitted through an online form, Amazon Connect summarizes earlier activities such as verifying order details, checking return eligibility, and confirming the payment method, and then presents recommended next steps to complete the refund. To enable this feature, add the Connect assistant flow block to your flows before a Task contact is assigned to your agent. You can guide the recommendations of your generative AI-powered Tasks assistant by adding knowledge bases. This new feature is available in all AWS regions where Amazon Connect r

Amazon Relational Database Service (RDS) and Amazon Aurora now offer greater flexibility for restore operations to view and modify backup retention period and preferred backup window prior to and upon restoring database snapshots. The backup retention period lets you specify how many days backups are retained, while the preferred backup window allows you to set your desired backup schedule. Previously, restored database instances and clusters inherited backup parameter values from snapshot metadata and could only be modified after restore was complete. This launch introduces two enhancements - you can now view the backup retention period and preferred backup window settings as part of automated backups and snapshots, providing visibility into backup configurations before initiating restore operation. Additionally, you can now specify or modify the backup retention period and preferred backup window when restoring database instances and clusters, eliminating the need to modi

Amazon Aurora DSQL now supports identity columns and sequence objects enabling developers to generate auto-incrementing, integer-based IDs directly in the database using familiar SQL patterns. This launch simplifies migrations of existing PostgreSQL applications and supports development of new workloads that rely on database-managed integer identifiers. Developers can create compact, human-readable IDs, such as order numbers, account IDs, or operational references without custom ID generation logic in application code or middleware. 

AWS is announcing local support for the latest generation of x86-powered Amazon EC2 instances on second-generation AWS Outposts racks, including C8i compute-optimized instances, M8i general-purpose instances, and R8i memory-optimized instances. These new instances deliver 20% better performance and 2.5x more memory bandwidth compared to the C7i, M7i, and R7i instances on second-generation Outposts racks. In addition, C8i, M8i, and R8i instances on second-generation Outposts racks deliver 20% more compute capacity than C7i, M7i, and R7i instances within the same rack space and power draw, enabling better space and energy efficiency for your on-premises workloads. C8i, M8i, and R8i instances on second-generation Outposts racks are powered by custom Intel Xeon 6 processors available only on AWS and are ideal for a broad range of on-premises workloads requiring enhanced performance, such as larger databases, more memory-intensive applications, advanced real-time big data analyt

Amazon Bedrock is a fully managed service that provides secure, enterprise-grade access to high-performing foundation models from leading AI companies, enabling you to build and scale generative AI applications. Today, Amazon Bedrock announced support for the latest open-weight models in Asia Pacific (Sydney) using the bedrock-mantle endpoint. These include models from industry-leading providers, including DeepSeek, Google, MiniMax, Mistral, Moonshot AI, MiniMax, Nvidia, and OpenAI. The bedrock-mantle endpoint is powered by Project Mantle, a new distributed inference engine for large-scale machine learning model serving on Amazon Bedrock. Project Mantle simplifies and expedites onboarding of new models onto Amazon Bedrock. It provides highly performant and reliable serverless inference with sophisticated quality of service controls, unlocks higher default customer quotas with automated capacity ma

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 AWS Region Table for complete regional availability information. To learn more about Amazon S3 Access Grants, visit our product page.

Amazon Bedrock is a fully managed service that provides secure, enterprise-grade access to high-performing foundation models from leading AI companies. It enables you to build and scale generative AI applications. Amazon Bedrock already supported AWS PrivateLink for the bedrock-runtime endpoint. Now, with this launch, you can also use AWS PrivateLink to privately access your applications using the bedrock-mantle endpoint. The bedrock-mantle endpoint is powered by Project Mantle, a new distributed inference engine for large-scale machine learning model serving on Amazon Bedrock. Project Mantle simplifies and expedites onboarding of new models onto Amazon Bedrock. It provides highly performant and reliable serverless inference with sophisticated quality of service controls, unlocks higher default customer quotas with automa

AWS Resource Control Policies (RCPs) now support Amazon DynamoDB. RCPs are a type of organization policy that you can use to manage permissions in your organization. RCPs offer central control over the maximum available permissions for resources in your organization. With this expansion, you can now use RCPs to manage permissions for Amazon DynamoDB. For example, you can create policies that prevent identities outside your organization from accessing DynamoDB, helping you build a