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Amazon Aurora PostgreSQL zero-ETL integration with Amazon SageMaker is now available

Amazon Aurora PostgreSQL-Compatible Edition now supports zero-ETL integration with Amazon SageMaker, enabling near real-time data availability for analytics workloads. This integration automatically extracts and loads data from PostgreSQL tables into your lakehouse where it’s immediately accessible through various analytics engines and machine learning tools. The data synced into the lakehouse is compatible with Apache Iceberg open standards, enabling you to use your preferred analytics tools and query engines such as SQL, Apache Spark, BI, and AI/ML tools. Through a simple no-code interface, you can create and maintain an up-to-date replica of your PostgreSQL data in your lakehouse without impacting production workloads. The integration features comprehensive, fine-grained access controls that are consistently enforced across all analytics tools and engines, ensuring secure data sharing throughout your organization. As a complement to the existing zero-ETL integrations with Amazon Redshift, this solution reduces operational complexity while enabling you to derive immediate insights from your operational data. Amazon Aurora PostgreSQL zero-ETL integration with Amazon SageMaker is now available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Canada (Central), South America (Sao Paulo), Asia Pacific (Hong Kong), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (Frankfurt), Europe (Ireland), Europe (London), and Europe (Stockholm) AWS Regions. To learn more, visit What is zero-ETL. To begin using this new integration, visit the zero-ETL documentation for Aurora PostgreSQL.
Quelle: aws.amazon.com

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AWS SAM CLI adds Finch support, expanding local development tool options for serverless applications

AWS Serverless Application Model Command Line Interface (SAM CLI) now supports Finch as an alternative to Docker for local development and testing of serverless applications. This gives developers greater flexibility in choosing their preferred local development environment when working with SAM CLI to build and test their serverless applications. Developers building serverless applications spend significant time in their local development environments. SAM CLI is a command-line tool for local development and testing of serverless applications. It allows you to build, test, debug, and package your serverless applications locally before deploying to AWS Cloud. To provide the local development and testing environment for your applications, SAM CLI uses a tool that can run containers on your local device. Previously, SAM CLI only supported Docker as the tool for running containers locally. Starting today, SAM CLI also supports Finch as a container development tool. Finch is an open-source tool, developed and supported by AWS, for local container development. This means you can now choose between Docker and Finch as your preferred container tool for local development when working with SAM CLI. You can use SAM CLI to invoke Lambda functions locally, test API endpoints, and debug your serverless applications with the same experience you would have in the AWS Cloud. With Finch support, SAM CLI now automatically detects and uses Finch as the container development tool when Docker is not available. You can also set Finch as your preferred container tool for SAM CLI. This new feature supports all core SAM CLI commands including sam build, sam local invoke, sam local start-api, and sam local start-lambda. To learn more about using SAM CLI with Finch, visit the SAM CLI developer guide. 
Quelle: aws.amazon.com

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Amazon WorkSpaces Core Managed Instances is now available in 5 additional AWS Regions

AWS today announced Amazon WorkSpaces Core Managed Instances availability in US East (Ohio), Asia Pacific (Malaysia), Asia Pacific (Hong Kong), Middle East (UAE), and Europe (Spain), bringing Amazon WorkSpaces capabilities to these AWS Regions for the first time. WorkSpaces Core Managed Instances in these Regions is supported by partners including Citrix, Workspot, Leostream, and Dizzion. Amazon WorkSpaces Core Managed Instances simplifies virtual desktop infrastructure (VDI) migrations with highly customizable instance configurations. WorkSpaces Core Managed Instances provisions resources in your AWS account, handling infrastructure lifecycle management for both persistent and non-persistent workloads. Managed Instances provide flexibility for organizations requiring specific compute, memory, or graphics configurations. With WorkSpaces Core Managed Instances, you can use existing discounts, Savings Plans, and other features like On-Demand Capacity Reservations (ODCRs), with the operational simplicity of WorkSpaces – all within the security and governance boundaries of your AWS account. This solution is ideal for organizations migrating from on-premises VDI environments or existing AWS customers seeking enhanced cost optimization without sacrificing control over their infrastructure configurations. You can use a broad selection of instance types, including accelerated graphics instances, while your Core partner solution handles desktop and application provisioning and session management through familiar administrative tools. Customers will incur standard compute costs along with an hourly fee for WorkSpaces Core. See the WorkSpaces Core pricing page for more information. To learn more about Amazon WorkSpaces Core Managed Instances, visit the product page. For technical documentation and getting started guides, see the Amazon WorkSpaces Core Documentation.
Quelle: aws.amazon.com