9/16/2024, 12:00:00 AM ~ 9/17/2024, 12:00:00 AM (UTC)

Recent Announcements

AWS Private CA now supports SCEP for mobile devices

AWS Private Certificate Authority (AWS Private CA) launches General Availability of the Connector for SCEP, which lets you use a managed and secure cloud certificate authority (CA) to enroll mobile devices securely and at scale. Simple Certificate Enrollment Protocol (SCEP) is a protocol widely adopted by mobile device management (MDM) solutions to obtain digital identity certificates from a CA and enroll corporate-issued and bring-your-own-device (BYOD) mobile devices. The Connector for SCEP helps you to reduce your PKI operational costs by using AWS Private CA with SCEP-compatible MDM solutions including, but not limited to, Microsoft Intune and Jamf Pro.\n The Connector for SCEP is one of three connectors that allow you to use AWS Private CA with Kubernetes, Active Directory, and, now, mobile devices. By using connectors, you can replace your existing CAs with AWS Private CA in environments that have an established native certificate distribution solution. This means that instead of using multiple CA solutions, you can utilize a single private CA solution for your enterprise. The Connector for SCEP is available in AWS Regions where AWS Private CA is available excluding GovCloud and China regions. This feature is offered at no additional charge. You only pay for the AWS Private CAs and the certificates issued from them. To get started, see the Getting started guide or go to the Connector for SCEP console.

Announcing general availability (GA) of Amazon Q generative SQL for Amazon Redshift

Amazon Redshift announces the general availability of Amazon Q generative SQL in Amazon Redshift Query Editor, an out-of-the-box web-based SQL editor for Amazon Redshift. Amazon Q generative SQL simplifies query authoring and increases productivity by allowing you to express queries in natural language and receive SQL code recommendations. Furthermore, it enables you to get insights faster without extensive knowledge of your organization’s complex database schema and metadata.\n Amazon Q generative SQL uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights. It provides a conversational interface where users can submit queries in natural language within the scope of their current data permissions. Generative SQL leverages query history for better accuracy and you can further improve accuracy through custom context, such as table descriptions, column descriptions, foreign key and primary key definitions, and sample queries. Custom context enhances the AI model’s understanding of your specific data model, business logic, and query patterns, allowing it to generate more relevant and accurate SQL recommendations. Amazon Q generative SQL in Amazon Redshift is available in the following regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Paris), and Europe (Ireland) regions. To learn more about pricing, visit the Amazon Q Developer pricing page. See the documentation to get started.

AWS announces Amazon Aurora PostgreSQL Optimized Reads in the AWS GovCloud (US) Regions

AWS announces Amazon Aurora PostgreSQL Optimized Reads in the AWS GovCloud (US) Regions, a new price-performance capability available on new r6gd and r6id instances that delivers up to 8x improved query latency and up to 30% cost savings compared to instances without it, for applications with large datasets that exceed the memory capacity of a database instance.\n Optimized Reads uses the local NVMe-based SSD block-level storage available on r6gd and r6id instances to store ephemeral data, reducing the data accesses to/from network-based storage offering improved read latency and throughput. These instances host temporary tables on the local storage (instead of network-based storage), delivering improved query performance for complex queries and faster index rebuild operations. Optimized Reads instances using I/O-Optimized use the local storage to extend their caching capacity. Database pages that are evicted from the in-memory buffer cache are cached onto local storage to speed subsequent retrievals of that data. This delivers up to 8x improved query latency, and enables Amazon Aurora PostgreSQL Optimized Reads with pgvector to increase queries per second for vector search by up to 9x in workloads that exceed available instance memory, accelerating the performance of Machine Learning and Generative AI applications. Customers can get started with Optimized Reads through the AWS Management Console, CLI, and SDK by modifying their Aurora database clusters or creating a new one using r6gd or r6id instances. Optimized Reads is available for Aurora Postgres 14.9 and 15.4. For more information visit our pricing page, and documentation.

Amazon Redshift now supports enhanced VPC routing warehouses in zero-ETL integration

Zero-ETL integrations help you derive holistic insights across many applications and break down data silos in your organization, making it simpler to analyze data from different operational databases. Amazon Redshift zero-ETL integrations now support Redshift clusters and Serverless workgroups configured with enhanced VPC routing (EVR). When you use Amazon Redshift enhanced VPC routing, Amazon Redshift forces all COPY and UNLOAD traffic between your warehouse and data repositories through your virtual private cloud (VPC) based on the Amazon VPC service.\n To learn more and get started with zero-ETL integration, visit the getting started guides for Amazon Redshift. To learn more about enhanced VPC routing on Amazon Redshift, see documentation.

AWS Blogs

AWS Japan Blog (Japanese)

AWS News Blog

AWS Open Source Blog

AWS Cloud Operations Blog

AWS Big Data Blog

AWS Contact Center

AWS Database Blog

AWS HPC Blog

AWS for Industries

AWS Machine Learning Blog

AWS Security Blog

Open Source Project

AWS CLI

Amplify for JavaScript

Amplify for iOS

AWS Load Balancer Controller