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Found 10 results

  1. As the Northern Hemisphere enjoys early fall and pumpkins take over the local farmers markets and coffee flavors here in the United States, we’re also just 50 days away from re:Invent 2023! But before we officially enter pre:Invent sea­­son, let’s have a look at some of last week’s exciting news and announcements. Last Week’s Launches Here are some launches that got my attention: AWS Control Tower – AWS Control Tower released 22 proactive controls and 10 AWS Security Hub detective controls to help you meet regulatory requirements and meet control objectives such as encrypting data in transit, encrypting data at rest, or using strong authentication. For more details and a list of controls, check out the AWS Control Tower user guide. Amazon Bedrock – Just a week after Amazon Bedrock became available in AWS Regions US East (N. Virginia) and US West (Oregon), Amazon Bedrock is now also available in the Asia Pacific (Tokyo) AWS Region. To get started building and scaling generative AI applications with foundation models, check out the Amazon Bedrock documentation, explore the generative AI space at community.aws, and get hands-on with the Amazon Bedrock workshop. Amazon OpenSearch Service – You can now run OpenSearch version 2.9 in Amazon OpenSearch Service with improvements to search, observability, security analytics, and machine learning (ML) capabilities. OpenSearch Service has expanded its geospatial aggregations support in version 2.9 to gather insights on high-level overview of trends and patterns and establish correlations within the data. OpenSearch Service 2.9 now also comes with OpenSearch Service Integrations to take advantage of new schema standards such as OpenTelemetry and supports managing and overlaying alerts and anomalies onto dashboard visualization line charts. Amazon SageMaker – SageMaker Feature Store now supports a fully managed, in-memory online store to help you retrieve features for model serving in real time for high throughput ML applications. The new online store is powered by ElastiCache for Redis, an in-memory data store built on open-source Redis. The SageMaker developer guide has all the details. Also, SageMaker Model Registry added support for private model repositories. You can now register models that are stored in private Docker repositories and track all your models across multiple private AWS and non-AWS model repositories in one central service, simplifying ML operations (MLOps) and ML governance at scale. The SageMaker Developer Guide shows you how to get started. Amazon SageMaker Canvas – SageMaker Canvas expanded its support for ready-to-use models to include foundation models (FMs). You can now access FMs such as Claude 2, Amazon Titan, and Jurassic-2 (powered by Amazon Bedrock) as well as publicly available models such as Falcon and MPT (powered by SageMaker JumpStart) through a no-code chat interface. Check out the SageMaker Developer Guide for more details. For a full list of AWS announcements, be sure to keep an eye on the What's New at AWS page. Other AWS News Here are some additional blog posts and news items that you might find interesting: Behind the scenes on AWS contributions to open-source databases – This post shares some of the more substantial open-source contributions AWS has made in the past two years to upstream databases, introduces some key contributors, and shares how AWS approaches upstream work in our database services. Fast and cost-effective Llama 2 fine-tuning with AWS Trainium – This post shows you how to fine-tune the Llama 2 model from Meta on AWS Trainium, a purpose-built accelerator for LLM training, to reduce training times and costs. Code Llama code generation models from Meta are now available via Amazon SageMaker JumpStart – You can now deploy Code Llama FMs, developed by Meta, with one click in SageMaker JumpStart. This post walks you through the details. Upcoming AWS Events Check your calendars and sign up for these AWS events: Build On Generative AI – Season 2 of this weekly Twitch show about all things generative AI is in full swing! Every Monday, 9:00 US PT, my colleagues Emily and Darko look at new technical and scientific patterns on AWS, invite guest speakers to demo their work, and show us how they built something new to improve the state of generative AI. In today’s episode, Emily and Darko discussed how to translate unstructured documents into structured data. Check out show notes and the full list of episodes on community.aws. AWS Community Days – Join a community-led conference run by AWS user group leaders in your region: DMV (DC, Maryland, Virginia) (October 13), Italy (October 18), UAE (October 21), Jaipur (November 4), Vadodara (November 4), and Brasil (November 4). AWS Innovate: Every Application Edition – Join our free online conference to explore cutting-edge ways to enhance security and reliability, optimize performance on a budget, speed up application development, and revolutionize your applications with generative AI. Register for AWS Innovate Online Americas and EMEA on October 19 and AWS Innovate Online Asia Pacific & Japan on October 26. AWS re:Invent (November 27 – December 1) – Join us to hear the latest from AWS, learn from experts, and connect with the global cloud community. Browse the session catalog and attendee guides and check out the re:Invent highlights for generative AI. You can browse all upcoming in-person and virtual events. That’s all for this week. Check back next Monday for another Weekly Roundup! — Antje This post is part of our Weekly Roundup series. Check back each week for a quick roundup of interesting news and announcements from AWS! View the full article
  2. We are excited to announce the launch of 22 new proactive controls and 10 AWS Security Hub detective controls in the AWS Control Tower controls library to help you meet regulatory requirements. These new controls are managed by AWS Control Tower and help you meet control objectives such as encrypt data in transit, encrypt data at rest, or use strong authentication. Proactive controls block non-compliant resources before they are provisioned for services such as Amazon Athena, Amazon EMR, AWS Glue, Amazon DynamoDB Accelerator (DAX) and Amazon Neptune. The AWS Security Hub detective controls for services such as Amazon Neptune, Amazon Athena and Amazon RDS help you detect noncompliance of resources within your accounts. View the full article
  3. AWS Control Tower now includes AWS CloudTrail organization logging as part of landing zone version 3.0. With this new feature, an organization-level AWS CloudTrail trail will be deployed in your organization’s management account to automatically log the actions of all member accounts in your organizations. AWS Control Tower does not configure any parameters for logging other than a mandatory detective guardrail that checks logging is configured for all AWS Control Tower governed accounts. AWS Control Tower with organization logging offers users the latest standard and best practice for unified account logging. View the full article
  4. AWS Control Tower now helps reduce redundant AWS Config configuration items by limiting recording of global resources to home Regions only. Previously, AWS Control Tower configured AWS Config to record global resources in all Regions. Since global resources are not tied to a specific AWS Region, changes to global resources are identical across Regions. Limiting recording for global resources (such as IAM users, groups, roles, and customer managed polices) means redundant copies of global resource changes are no longer stored in every Region. This update brings resource recording into conformance with AWS Config best practices. A full list of global resources is available in AWS Config documentation. View the full article
  5. AWS Control Tower has updated its Region deny guardrail to include additional AWS global service APIs to assist in retrieving configuration settings, dashboard information, and support for an interactive chat agent. The Region deny guardrail, ‘Deny access to AWS based on the requested AWS Region', assists you in limiting access to AWS services and operations for enrolled accounts in your AWS Control Tower environment. The AWS Control Tower Region deny guardrail helps ensure that any customer data you upload to AWS services is located only in the AWS Regions that you specify. You can select the AWS Region or Regions in which your customer data is stored and processed. View the full article
  6. We are excited to announce the new Organization page in AWS Control Tower with a hierarchical view of all Organizational units (OUs) and accounts. Customers now have the ability to view, group, and manage their entire organizational structure through a single page. View the full article
  7. AWS Control Tower now provides you with the ability to manage and customize your shared and management accounts with Account Factory for Terraform (AFT). You can now centralize your account customization management and increase governance coverage of your AWS Control Tower environment while still protecting the security of your account configurations. Shared account customization assists customers that want the ability to use the same mechanism for customization across all of their accounts. AFT has also made a role change to help you better manage the permissions of your customizations. You will now be able to fully automate your permission management for AFT to act on all of your accounts with any level of granularity. View the full article
  8. AWS Control Tower now gives you the capability to enroll and update member accounts individually, from within your AWS Control Tower landing zone, with a single click. You can update your landing zone, remediate account drift, or enroll an account into a registered organizational unit (OU), in a few streamlined steps. View the full article
  9. AWS Control Tower now supports operational concurrency for all guardrail types, preventive or detective. With this new release you can now enable or disable multiple preventive guardrails without needing to wait for individual guardrail operations to complete. AWS Control Tower provides customers with out-of-the-box preventive and detective guardrails that you can deploy to increase your security, operational, and compliance posture. View the full article
  10. Today, we are announcing new functionality in AWS Control Tower that provides you the flexibility to use your existing security and logging accounts, or to have AWS Control Tower create new accounts on your behalf when setting up Control Tower or extending Control Tower governance to your existing AWS environment. The Security account is used as a restricted account that’s designed to give your security and compliance teams read and write access to all accounts in your landing zone. The Logging account works as a repository, storing logs of API activities and resource configurations from all accounts in your landing zone. View the full article
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