8/14/2024, 12:00:00 AM ~ 8/15/2024, 12:00:00 AM (UTC)
Recent Announcements
Amazon EKS introduces EKS Pod Identity in the AWS GovCloud (US) Regions
Today, Amazon EKS introduces EKS Pod Identity, a new feature that simplifies how cluster administrators can configure Kubernetes applications to obtain AWS IAM permissions in the AWS GovCloud (US) Regions. These permissions can now be easily configured with fewer steps directly through EKS console, APIs, and CLI. EKS Pod Identity makes it easy to use an IAM role across multiple clusters and simplifies policy management by enabling the reuse of permission policies across IAM roles.\n EKS Pod Identity offers cluster administrators a simplified workflow for authenticating applications to all AWS resources such as Amazon S3 buckets, Amazon DynamoDB tables, and more. As a result, cluster administrators need not switch between the EKS and IAM services, or execute privileged IAM operations to configure permissions required by your applications. IAM roles can now be used across multiple clusters without the need to update the role trust policy when creating new clusters. IAM credentials supplied by EKS Pod Identity include support for role session tags, with support for attributes such as cluster name, namespace, service account name. Role session tags enable administrators to author a single permission policy that can work across roles by allowing access to AWS resources based on matching tags. To get started visit the EKS documentation. To learn more about the feature, see the launch blog.
Today, with the release of Karpenter version 1.0.0, Karpenter’s APIs graduate out of beta. Karpenter is a flexible, efficient, and high-performance Kubernetes compute management solution that helps improve application availability, reduce operational overhead, and increase cluster compute utilization. This release also includes three new features which provide customers greater control over how and when Karpenter disrupts Kubernetes applications. Customers can use Karpenter with Amazon Elastic Kubernetes Service (EKS) or any conformant Kubernetes cluster.\n Like other Kubernetes open-source projects, Karpenter’s APIs follow a maturity progression from alpha to beta then stable. In October 2023, the Karpenter project graduated its APIs from alpha to beta. This release marks the final milestone in the project’s maturity and customers can be assured that all Karpenter APIs will remain available in future 1.0 minor versions and not modified in any way that results in breaking changes. Alongside the graduation from beta, this 1.0 release includes three new features for Karpenter: 1/ the ability to specify disruption reasons, e.g. underutilization, emptiness, drift, for disruption budgets, 2/ a forceful disruption mode that helps customers balance application availability against security requirements, and 3/ an expansion of consolidateAfter which lets customers better tune Karpenter’s consolidation feature to meet their cost-efficiency and application availability requirements. A full description of these features, and other changes introduced in v1.0.0, is available in the Karpenter 1.0 launch blog. To learn more about Karpenter, visit karpenter.sh or the Autoscaling page in the Amazon EKS User Guide.
Amazon Redshift Query Editor V2 now supports query import
Amazon Redshift announces support for the query import feature in Query Editor V2, enabling you to bring your existing SQL queries into the editor. This functionality streamlines workflows for data analysts, engineers, and developers working with Amazon Redshift by allowing them to upload one or more SQL files on their desktop to the query editor.\n The query import feature eliminates the need for manual and error prone copy-pasting or rewriting queries, allowing you to upload your existing SQL queries directly into the Query Editor. You can import single files, multiple files, or entire folders and easily migrate your SQL queries from your desktop, another tool, or data warehouse. Imported queries can also be seamlessly integrated into existing SQL notebooks or new ones, fostering organized workspaces and efficient sharing and collaboration across teams. With this feature, you can streamline your data analysis processes, reduce duplicated effort, and accelerate time-to-insight. This feature is available in all regions where Amazon Redshift Query Editor v2 is available. To learn more, see the Amazon Redshift documentation.
Amazon Q in QuickSight is now available in 5 additional regions
Amazon Q in QuickSight is now generally available in Asia Pacific (Mumbai), Europe (Ireland), South America (São Paulo), Europe (London), Canada (Central), in addition to the existing Europe (Frankfurt), US East (N. Virginia), and US West (Oregon) regions.\n This expansion brings the power of Generative Business Intelligence to more customers, enabling them to leverage natural language capabilities of Amazon Q to quickly extract insights from data, make better business decisions, and accelerate the work of business analysts. With Amazon Q in QuickSight, users can generate documents, slide decks, and executive summaries explaining data and providing recommendations tailored to their business. The data Q&A experience empowers users to confidently answer questions of data, even those not covered by existing dashboards. This launch expands availability of Amazon Q in QuickSight capabilities within existing QuickSight Regions, reducing latency to access services and helping customers meet data residency compliance. Amazon Q in QuickSight is not trained on customer data, and its governance and data security features meet the most stringent requirements for enterprise and government customers. To learn more visit the Amazon Q in QuickSight product page and try it FREE for 30-days.
Today, we are introducing new capabilities for managing Amazon EC2 On-Demand Capacity Reservations which enable you to split your Capacity Reservations, move capacity between Capacity Reservations, and modify your Capacity Reservation’s instance eligibility attribute. On-Demand Capacity Reservations help you to reserve compute capacity for your workloads in a specific Availability Zone for any duration. When your workload requirements change, these new features provide you the flexibility to resize and reconfigure your reservations.\n To get started, you can specify any reservation and split its available capacity into a new reservation. Similarly, you can specify any reservation and move its available capacity into an existing reservation with matching configuration. Finally, you can now switch between “open” and “targeted” Capacity Reservation configurations by modifying the instance eligibility attribute. These new features are available to all Capacity Reservations customers in all AWS commercial regions, China regions (Beijing region, operated by Sinnet, and Ningxia region, operated by NWCD), and the AWS GovCloud (US) Regions at no additional cost. To learn more about these features, please refer to the Capacity Reservations user guide.
AWS Blogs
AWS Japan Startup Blog (Japanese)
AWS Architecture Blog
AWS Big Data Blog
- Build a serverless data quality pipeline using Deequ on AWS Lambda
- Improve the resilience of Amazon Managed Service for Apache Flink application with system-rollback feature
Containers
AWS Developer Tools Blog
AWS HPC Blog
The Internet of Things on AWS – Official Blog
AWS Machine Learning Blog
- Introducing document-level sync reports: Enhanced data sync visibility in Amazon Q Business
- Derive generative AI-powered insights from ServiceNow with Amazon Q Business