8/6/2024, 12:00:00 AM ~ 8/7/2024, 12:00:00 AM (UTC)
Recent Announcements
Announcing G4dn WorkSpaces Personal bundles with WSP for Windows
Amazon WorkSpaces is introducing G4dn WorkSpaces Personal bundles with WSP (WorkSpaces Streaming Protocol) for Windows. Now you can run your graphics-intensive and accelerated applications on Windows using G4dn WorkSpaces with WSP on AWS.\n
The Graphics G4dn bundles offer cost-effective solutions for graphics applications optimized for NVIDIA GPUs using NVIDIA libraries such as CUDA, CuDNN, OptiX, and Video Codec SDK. With WSP, your users will benefit from a highly responsive remote desktop experience with 4K resolution and support for multiple monitors. G4dn WorkSpaces with WSP is available for Windows Server 2022. Alternatively, you can bring your own Windows desktop licenses for Windows 10/11.
You can deploy the Graphics G4dn bundles for Windows with WSP in AWS Regions where WorkSpaces is available, except for the Africa (Cape Town) and Israel (Tel Aviv) Regions. You can launch G4dn Graphics bundles for Windows with WSP from the AWS Management Console, AWS API, or AWS CLI. See the Amazon WorkSpaces pricing page for more information.
Amazon EC2 High Memory instances now available in Europe (Frankfurt) Region
Starting today, Amazon EC2 High Memory instances with 18TiB of memory (u-18tb1.112xlarge) are now available in Europe (Frankfurt) region. Customers can start using these new High Memory instances with On Demand and Savings Plan purchase options.\n Amazon EC2 High Memory instances are certified by SAP for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, and SAP BW/4HANA in production environments. For details, see the Certified and Supported SAP HANA Hardware Directory. For information on how to get started with your SAP HANA migration to EC2 High Memory instances, view the Migrating SAP HANA on AWS to an EC2 High Memory Instance documentation. To hear from Steven Jones, GM for SAP on AWS on what this launch means for our SAP customers, you can read his launch blog.
Introducing Titan Image Generator v2 now available on Amazon Bedrock
We’re excited to announce the launch of Amazon Titan Image Generator v2, a new image generation model which brings to customers additional control and flexibility - including image conditioning using ControlNet, subject consistency, and background removal.\n With Amazon Titan Image Generator v2 image conditioning, you can use a reference image to guide the generation of the output image. Image conditioning uses ControlNet techniques, like canny edge to preserve edges, and segmentation to identify regions in the reference image, to guide image generation. Amazon Titan Image Generator v2 also lets you fine-tune the model for subject consistency, allowing you to preserve specific images, objects, or themes in the output. Amazon Titan Image Generator v2’s background removal supports intelligent detection and segmentation, allowing it to work with multiple foreground objects and overlapping elements in the image. With Amazon Titan Image Generator v2, you can now shape your visual narratives like never before, guiding the generative process with precision and infusing your artistic vision into every pixel. Amazon Titan Image Generator v2 is now available in the US East (N. Virginia), US West (Oregon). To learn more, read about Amazon Titan Image Generator v2 in the AWS News launch blog, visit the Amazon Titan product page, or refer to our documentation. To get started with Amazon Titan Image Generator v2 in Amazon Bedrock, visit the Amazon Bedrock console.
Large language models powered by Amazon Sagemaker Jumpstart available in Redshift ML
Amazon Redshift ML enables customers to create, train, and deploy machine learning models on their Redshift data using familiar SQL commands. Now, you can leverage pretrained publicly available LLMs in Amazon SageMaker JumpStart as part of Redshift ML. For example, you can use LLMs to summarize feedback, perform entity extraction, and conduct sentiment analysis on data in your Redshift table. Large Language Models in Redshift ML is now generally available which empowers you to bring the power of generative AI to your data warehouse.\n With this capability, Amazon Redshift ML removes the complexities of building custom machine learning pipelines to perform generative AI tasks like text summarization or categorization. To get started, create an endpoint using one of the supported text based LLMs in SageMaker Jumpstart, create a Redshift ML model referencing the endpoint and you can start invoking the LLM endpoint using standard SQL commands through Redshift ML using your data in Redshift. Amazon Redshift support for Large Language Models in Amazon Sagemaker Jumpstart is now available where Amazon Redshift is available and Amazon Sagemaker Jumpstart is available. To learn more, visit the Amazon Redshift database developer guide.
Simplified Migration Acceleration Program for VMware funding experience in AWS Partner Central
Today, Amazon Web Services, Inc. (AWS) announces a simplified Migration Acceleration Program (MAP) template in AWS Partner Central that includes the VMware Strategic Partner Incentive (SPI). Eligible AWS Partners can leverage the enhanced MAP template to accelerate more VMware customer migration opportunities with a simple approval workflow and access to SPIs.\n The simplified MAP template accelerates VMware opportunities by providing better speed to market with fewer AWS approval stages. The AWS Partner Funding Portal (APFP) automatically calculates the eligible VMware SPI incentive and creates associated claim milestones. This improves overall partner productivity by eliminating manual steps. Now, partners can skip navigating to a separate Partner Initiative Funding (PIF) benefit and directly request the VMware SPI as part of the standard MAP template. The simplified MAP template can be accessed by all partners at the Validated Stage in AWS Partner Central and AWS Migration Competency Partners. To learn more, review the 2024 APFP user guide.
New version of Amazon ECR basic scanning is now generally available
Today, Amazon Elastic Container Registry (ECR) announced the general availability of a new version of basic scanning. The new version of ECR basic scanning uses Amazon’s native scanning technology, which is designed to provide customers with improved scanning results and vulnerability detection across a broad set of popular operating systems. This allows customers to further strengthen the security of their container images.\n ECR basic scanning enables customers to identify software vulnerabilities in their ECR container images. Customers can either scan their container images manually or via configurations that specify which repositories should be scanned when an image is pushed. Today’s launch enables customers to detect container image vulnerabilities across popular operating systems and receive improved scan findings. The new version of ECR basic scanning is now generally available in all AWS commercial regions and the AWS GovCloud (US) Regions at no additional cost. Existing customers can switch to the new version by using the AWS console or using the new put-account-setting API. New ECR accounts are automatically opted into using the new scanning version. To learn more about ECR basic scanning, this change, and supported regions, please visit our documentation. ECR also offers enhanced scanning which is powered by Amazon Inspector and comes with additional security benefits, including scanning for programming language package vulnerabilities. A complete list of differences between ECR basic scanning and enhanced scanning can be found here.
AWS Control Tower releases 2 new descriptive control APIs
AWS Control Tower customers can now programmatically get descriptions for managed controls. These APIs enable automation of AWS Control Tower’s library of managed controls improving ease of use for control deployment. With this release customers can extend AWS Control Tower governance into regions where some of their enabled controls are not available. Customers can also enable a control in additional Regions, even though the control is not supported in all of their governed Regions. AWS Control Tower now supports the below APIs:\n
ListControls – This API call returns a paginated list of all available controls in AWS Control Tower controls library.
GetControl – This API call returns details of an enabled control which includes target identifier, control summary, target regions, and drift status of the control.
Announcing Terraform support Amazon Timestream for InfluxDB Deployments
We are excited to announce the launch of Terraform compatibility for Amazon Timestream for InfluxDB. Terraform support enables you to automate and streamline your time-series data management workflows with infrastructure-as-code (IaC).\n With Terraform support, you can now define and manage your Timestream for InfluxDB instances, databases, and tables using Terraform configuration files, reducing manual errors and increasing efficiency. This feature makes it easier to version and track changes to your infrastructure, providing a more seamless experience for industrial and IoT applications. To get started, use the AWS-provided Terraform Reference Engine on GitHub that configures the code and infrastructure required for the Terraform open source engine to work with Amazon Timestream for InfluxDB. Amazon Timestream for InfluxDB is available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Mumbai), Europe (Ireland), Europe (Frankfurt), and Europe (Stockholm). To learn more about this new feature and how to get started, visit the Amazon Timestream for InfluxDB product page, documentation, and pricing page. You can also explore the Terraform documentation for more information on how to integrate Terraform with Timestream for InfluxDB.
Amazon OpenSearch Service OR1 instances now available in Sao Paulo
OR1, the OpenSearch Optimized Instance family, is now available in South America (Sao Paulo). OR1 delivers up to 30% price-performance improvement over existing instances (based on internal benchmarks), and uses Amazon S3 to provide 11 9s of durability. The new OR1 instances are best suited for indexing-heavy workloads, and offers better indexing performance compared to the existing memory optimized instances available on OpenSearch Service.\n OR1 enables customers to economically and reliably scale their OpenSearch deployments without compromising the interactive analytics experience they expect. Each OR1 instance is provisioned with compute, local instance storage for caching, and remote Amazon S3-based managed storage. OR1 offers pay-as-you-go pricing and reserved instances, with a simple hourly rate for the instance, local instance storage, as well as provisioned managed storage. OR1 instances come in sizes ‘medium’ through ‘16xlarge’, and offer compute, memory, and storage flexibility. OR1 instances support OpenSearch versions 2.11 and above. Please refer to the Amazon OpenSearch Service pricing page for pricing details. OR1 instance family is now available on Amazon OpenSearch Service in South America (Sao Paulo). Please refer to the AWS Region Table for more information about Amazon OpenSearch Service availability. To get started with OR1 instances, visit our documentation.
Amazon Cognito enhances Advanced Security Features (ASF) to address additional enterprise needs. You now have the option to disallow users from reusing previous passwords, helping you address compliance needs. Additionally, you now have the option to stream security events from ASF to an Amazon S3 bucket, Amazon Kinesis Firehose, or CloudWatch Insights. This allows you to combine ASF events with security signals from other AWS and third-party tools, helping you gain better insights and elevating security.\n Amazon Cognito is a service that makes it simpler to add authentication, authorization, and user management to your web and mobile apps. The service provides authentication for applications with millions of users and supports sign-in with social identity providers such as Apple, Facebook, Google, and Amazon, and enterprise identity providers via standards such as SAML 2.0 and OpenID Connect. This new feature is now available as part of Cognito advanced security features in all AWS Regions, except AWS GovCloud (US) Regions.
To get started, see the following resources:
Preventing password reuse documentation page
Exporting Logs documentation page
Amazon Cognito advanced security features pricing
AWS Blogs
AWS Japan Blog (Japanese)
- Medical content creation in the age of generative AI
- Migrate and operate batch jobs with AWS Mainframe Modernization Blu Age
- Tips from IDC to improve the environmental sustainability of IT workloads
AWS News Blog
AWS Cloud Operations & Migrations Blog
AWS Big Data Blog
- Enrich, standardize, and translate streaming data in Amazon Redshift with generative AI
- How Amazon GTTS runs large-scale ETL jobs on AWS using Amazon MWAA
- Build a real-time analytics solution with Apache Pinot on AWS
AWS Compute Blog
AWS Contact Center
AWS Database Blog
- Implement a rollback strategy after an Amazon Aurora MySQL blue/green deployment switchover
- Review your Amazon Aurora and Amazon RDS security configuration with Prowler’s new checks
AWS for Industries
- Generative AI Meets Augmented Reality for Frontline Worker Assistance in Manufacturing and Field Services
- Application Deployment Strategies on Amazon Web Services in China
AWS Machine Learning Blog
- Build custom generative AI applications powered by Amazon Bedrock
- Use Amazon Bedrock to generate, evaluate, and understand code in your software development pipeline
- Inference AudioCraft MusicGen models using Amazon SageMaker
AWS for M&E Blog
AWS Security Blog
- Spring 2024 SOC 2 report now available in Japanese, Korean, and Spanish
- Hardening the RAG chatbot architecture powered by Amazon Bedrock: Blueprint for secure design and anti-pattern mitigation
AWS Storage Blog
- How Vivian Health is using Amazon S3 Express One Zone to accelerate healthcare hiring
- Establish private connectivity for AWS Elastic Disaster Recovery using AWS Direct Connect