5/29/2024, 12:00:00 AM ~ 5/30/2024, 12:00:00 AM (UTC)

Recent Announcements

One-click instance profile creation to launch an RDS Custom for SQL Server instance

Starting today, RDS Custom for SQL Server database instance creation is simplified with single-click creation and attachment of an instance profile. You can choose “Create a new instance profile” and provide an instance profile name for Create database, Restore snapshot, and Restore to Point-in-time options within RDS Management Console. RDS Management Console will automatically generate a new instance profile with all the necessary permissions for RDS Custom automation tasks.\n To leverage this feature, you need to ensure that you are logged into AWS Console with the following permissions - iam:CreateInstanceProfile, iam:AddRoleToInstanceProfile, iam:CreateRole, and iam:AttachRolePolicy .

Claude 3 Sonnet and Haiku now available in Amazon Bedrock in the Europe (Frankfurt) region

Beginning today, customers in the Europe (Frankfurt) region can access Claude 3 Sonnet and Haiku in Amazon Bedrock to easily build and scale generative AI applications.\n Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, as well as Amazon via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance.

Amazon MSK adds support for Apache Kafka version 3.7

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports Apache Kafka version 3.7 for new and existing clusters. Apache Kafka version 3.7 includes several bug fixes and new features that improve performance. Key improvements include latency improvements resulting from leader discovery optimizations during leadership changes, as well as log segment flush optimization options. For more details and a complete list of improvements and bug fixes, see the Apache Kafka release notes for version 3.7.\n Amazon MSK is a fully managed service for Apache Kafka and Kafka Connect that makes it easier for you to build and run applications that use Apache Kafka as a data store. Amazon MSK is compatible with Apache Kafka, which enables you to quickly migrate your existing Apache Kafka workloads to Amazon MSK with confidence or build new ones from scratch. With Amazon MSK, you can spend more time innovating on streaming applications and less time managing Apache Kafka clusters. To learn how to get started, see the Amazon MSK Developer Guide.

Amazon RDS Multi-AZ deployment with two readable standbys supports 6 additional AWS Regions

Amazon Relational Database Service (Amazon RDS) Multi-AZ deployments with two readable standbys are now available in six additional AWS Regions.\n Amazon RDS Multi-AZ deployments with two readable standbys is ideal when your workloads require lower write latency, automated failovers, and more read capacity. In addition, this deployment option supports minor version upgrades and system maintenance updates with typically less than one second of downtime when using Amazon RDS Proxy or any one of the open-source AWS Advanced JDBC Driver, PgBouncer, or ProxySQL. The six newly supported regions are Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Europe (Spain), Europe (Zurich), Middle East (UAE), and Israel (Tel Aviv) Regions. Amazon RDS Multi-AZ database with two readable standby instances is supported on Amazon RDS for PostgreSQL version 16.1 and higher, 15.2 and higher, 14.5 and higher, 13.8 and higher, and Amazon RDS for MySQL version 8.0.28 and higher. Refer the Amazon RDS User Guide for a full list of regional availability and supported engine versions. Learn more about Amazon RDS Multi-AZ deployments in the AWS News Blog. Create or update fully managed Amazon RDS Multi-AZ database with two readable standby instances in the Amazon RDS Management Console.

Amazon SageMaker Canvas announces up to 10x faster startup time

Amazon SageMaker Canvas announces up to 10x faster startup time, enabling users to achieve faster business outcomes using a visual, no-code interface for machine learning (ML). With a faster startup time, you can now quickly prepare data, build, customize, and deploy machine learning (ML) and generative AI (Gen AI) models in SageMaker Canvas, without writing a single line of code.\n SageMaker Canvas can be launched using multiple methods including using your corporate credentials with a single sign-on portal such as AWS IAM Identity Center (IdC), Amazon SageMaker Studio, the AWS Management Console, or a pre-signed URL set up by IT administrators. Now, launching Canvas is quicker than ever using any of these methods. You can launch Canvas in less than a minute and get started with your ML journey 10x faster than before.

Starting today, all new user profiles created in existing or new SageMaker domains can experience this accelerated startup time. Faster startup time is available in all AWS regions where SageMaker Canvas is supported today. Please see the SageMaker Canvas product page to learn more.

Introducing the Document widget for PartyRock

Everyone can build, use, and share generative AI powered apps for fun and for boosting personal productivity using PartyRock. PartyRock uses foundation models from Amazon Bedrock to turn your ideas into working PartyRock apps.\n PartyRock apps are composed of UI elements called widgets. Widgets display content, accept input, connect with other widgets, and generate outputs like text, images, and chats using foundation models. Now available is the Document widget, allowing you to integrate text content from files and documents directly into a PartyRock app. The Document widget supports common file types including PDF, MD, TXT, DOCX, HTML, and CSV, with a limit of 120,000 characters. You can add the Document widget to new or existing apps. With the Document widget, you can build apps that generate summaries, extract action items, facilitate chats about document content, or create images based on text from documents like blogs. For a limited time, AWS offers new PartyRock users a free trial without the need to provide a credit card or sign up for an AWS account. To get hands-on with generative AI, visit PartyRock.

Amazon FSx for Lustre is now available in the AWS US East (Atlanta) Local Zone

Customers can now create Amazon FSx for Lustre file systems in the AWS US East (Atlanta) Local Zone.\n Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for Lustre provides fully managed shared storage built on the world’s most popular high-performance file system, designed for fast processing of workloads such as machine learning, high performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA). To learn more about Amazon FSx for Lustre, visit our product page, and see the AWS Region Table for complete regional availability information.

Introducing Amazon EC2 High Memory U7i Instances

Amazon Web Services is announcing general availability for Amazon EC2 High Memory U7i instances, the first DDR5 memory based 8-socket offering by a leading cloud provider, offering up to 32TiB of memory and 896 vCPUs. Powered by 4th Generation Intel Xeon Scalable processors (Sapphire Rapids), U7i instances have twice as many vCPUs, delivering more than 135% compute performance and up to 45% better price performance versus existing U-1 instances. Combining the largest memory sizes with the highest vCPU count in the AWS cloud, these instances are ideal to run large in-memory databases such as SAP HANA, Oracle, and SQL Server and compute-intensive workloads such as large language models.\n U7i instances are available in four sizes supporting 12TiB, 16TiB, 24TiB, and 32TiB memory. They offer up to 100Gbps of Elastic Block Storage (EBS) bandwidth for storage volumes, facilitating up to 2.5x faster restart times compared to existing U-1 instances. U7i instances deliver up to 200Gbps of network bandwidth and support ENA Express. U7i instances are available in the in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Seoul) and Asia Pacific (Sydney). Customers can use these instances with On Demand, Reserved Instances, and Savings Plan purchase options. To learn more, visit the U7i instances page. These instances are certified by SAP for running SAP S/4HANA, SAP BW/4HANA, Business Suite on HANA, Data Mart Solutions on HANA, and Business Warehouse on HANA in production environments. For details, see the SAP HANA Hardware Directory.

Amazon MSK launches support for KRaft mode for new Apache Kafka clusters

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports KRaft mode (Apache Kafka Raft) in Apache Kafka version 3.7. The Apache Kafka community developed KRaft to replace Apache ZooKeeper for metadata management in Apache Kafka clusters. In KRaft mode, cluster metadata is propagated within a group of Kafka controllers, which are part of the Kafka cluster, versus across ZooKeeper nodes. On Amazon MSK, like with ZooKeeper nodes, KRaft controllers are included at no additional cost to you, and require no additional setup or management.\n You can now create clusters in either KRaft mode or ZooKeeper mode on Apache Kafka version 3.7. In Kraft mode, you can add up to 60 brokers to host more partitions per-cluster, without requesting a limit increase, compared to the 30-broker quota on Zookeeper-based clusters. Support for Apache Kafka version 3.7 is offered in all AWS regions where Amazon MSK is available. To learn more about KRaft on MSK, read our launch blog and FAQs. To get started with Amazon MSK, see the Amazon MSK Developer Guide.

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The Internet of Things on AWS – Official Blog

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