10/16/2024, 12:00:00 AM ~ 10/17/2024, 12:00:00 AM (UTC)
Recent Announcements
Amazon S3 adds new Region and bucket name filtering for the ListBuckets API
Amazon S3 now supports AWS Region and bucket name filters for the ListBuckets API. In addition, paginated ListBuckets requests now return your S3 general purpose buckets and their corresponding AWS Regions in the response, helping you simplify applications that need to determine bucket locations across multiple Regions.\n To get started, specify an AWS Region like “us-east-1” as a query parameter on a ListBuckets request to list your buckets in a particular Region. When using the bucket name filtering query parameter, you can also specify bucket name prefixes like “amzn-s3-demo-bucket” to return all of your bucket names that start with “amzn-s3-demo-bucket…” These new parameters can help you limit your ListBuckets API response to your desired buckets. The ListBuckets API support for Region and bucket name prefix query parameters is now available in all AWS Regions. You can use the AWS SDK, API, or CLI to list your buckets for a specific AWS Region or prefix. To learn more about the ListBuckets API, visit the documentation.
AWS Marketplace now allows sellers to manage their Single Amazon Machine Images (AMIs) product availability in the AWS GovCloud (US) Regions through a self-service experience. This makes the listing process easier and faster for AWS Marketplace sellers to sell software into the AWS GovCloud (US) Regions.\n Starting today, eligible AWS Marketplace sellers can self-serve creating or modifying products to make their Single AMI products available to customers in AWS GovCloud (US) Regions. Sellers can choose us-gov-east-1 and us-gov-west-1 regions when choosing region availability in AWS Marketplace Management Portal. To get started, sellers must have an AWS GovCloud (US) account and work with AWS Marketplace Seller Operations team to enable their selling account to list in the AWS GovCloud (US) Regions. Then, sellers can go to AWS Marketplace Management Portal to create or modify their Single AMI products to make them available in the AWS GovCloud (US) Regions. To learn more, review the Blog Post on how to list in GovCloud here.
Amazon Transcribe now supports streaming transcription in 30 additional languages
Today, we are excited to announce support for 30 additional languages for streaming audio transcriptions bringing the total number of supported languages to 54. Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. New languages supported with this release include Afrikaans, Amharic, Arabic (Gulf), Arabic (Standard), Basque, Catalan, Croatian, Czech, Danish, Dutch, Farsi, Finnish, Galician, Greek, Hebrew, Indonesian, Latvian, Malay, Norwegian, Polish ,Romanian, Russian, Serbian, Slovak, Somali, Swedish, Tagalog, Ukrainian, Vietnamese, and Zulu. These new languages expand the coverage of Amazon Transcribe streaming and enable customers to reach a broader global audience.\n Live streaming transcription is used across industries in contact center applications, broadcast events, meetings captions, and e-learning. For example, contact centers use transcription to remove the need for note taking and improve agent productivity by providing recommendations for next best action. Companies also make their live sports events or real-time meetings more accessible with automatic subtitles. In addition, customers who have a large social media presence use Amazon Transcribe to help moderate content and detect inappropriate speech in user-generated content. Amazon Transcribe real-time streaming is available in the following AWS regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Seoul), Asia Pacific (Sydney), Asia Pacific (Tokyo), Africa (Cape Town), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), South America (São Paulo), AWS GovCloud (US-East) and AWS GovCloud (US-West). To learn more, visit Amazon Transcribe documentation or or visit the AWS console.
AWS Beanstalk adds support for Python 3.12
AWS Beanstalk adds support for Python 3.12 on AL2023 Beanstalk environments.\n AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Python 3.12 on AL2023 adds improved error messaging, Linux perf profiler support, improved speed of interpreter and usability of f-strings. This platform is generally available in commercial regions where Elastic Beanstalk is available including AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions. For more information about Python and Linux Platforms, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
AWS CloudShell now supports Amazon Q CLI
Today, we are announcing the integration of Amazon Q CLI into CloudShell, the embedded terminal experience in the AWS Management Console. The command line is used by over thirty million engineers to write, build, run, debug, and deploy software. However, despite how critical it is to the software development process, the command line is challenging to use. Amazon Q CLI allows you to use natural language to generate AWS commands and provides personalized command suggestions, reducing the need to search documentation and boosting productivity.\n Many of you prefer using a shell interface to interact with cloud resources but often encounter a learning curve with the command syntax. With tens of thousands of command line applications (called as command-line interfaces or CLIs), it’s almost impossible to remember the correct input syntax. The command line’s lack of input validation also means that typos can cause unnecessary errors, security risks, and even production outages. It’s no wonder that most software engineers find the command line an error-prone and often frustrating experience. Integrating Amazon Q CLI helps bridge this gap by modernizing the command line with features such as, personalized command suggestions, inline documentation, and AI natural-language-to-code translation. CloudShell supports Amazon Q CLI in the 24 commercial regions where CloudShell is available. For more information about the AWS Regions where CloudShell is available, see the AWS Region table. To get started, you can open CloudShell from the Console Toolbar on any page of the AWS Management Console and use a trigger such as, “q chat” to begin a conversation.
Amazon Bedrock Agents now provides Conversational Builder
Today, AWS announces the general availability of Conversational Builder for Amazon Bedrock Agents which provides a chat interface for you to use to build your Bedrock Agents. With the Conversational Builder, you can chat with an assistant that will guide you through building an agent and create your agent based off natural language instructions. The Conversational Builder is available to be used through the Amazon Bedrock Agents management console.\n Conversational Builder is an alternative experience over the traditional manual configuration methods for building an agent that reduces the time of your agent creation and prototyping process. You can describe what you want your agent to do - e.g. “build a customer service agent that answers questions on shopping” and Conversational Builder will automatically generate the necessary configurations for you to test out your agent. This new feature is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Europe (Paris), Europe (Frankfurt) where Amazon Bedrock Agents is available.
Announcing AWS DMS Serverless support for MongoDB and DocDB as a source
AWS Database Migration Service Serverless (AWS DMSS) now supports MongoDB and Amazon DocDB as data sources. Using AWS DMSS, you can now migrate data from MongoDB and Amazon DocDB to a variety of data targets.\n AWS DMSS now shows MongoDB and Amazon DocDB as options when defining endpoints which can then be used as sources for data migrations. Additional information about AWS DMSS sources can be found in our documentation. To learn more about DMS Serverless, see Working with AWS DMS Serverless. For AWS DMS regional availability, please refer to the AWS Region Table.
Amazon Corretto October, 2024 Quarterly Updates
On October 15, 2024 Amazon announced quarterly security and critical updates for Amazon Corretto Long-Term Supported (LTS) and Feature Release (FR) versions of OpenJDK. Corretto 23.0.1, 21.0.5, 17.0.13, 11.0.25, 8u432 are now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK.\n Click on the Corretto home page to download Corretto 8, Corretto 11, Corretto 17, Corretto 21, or Corretto 23. You can also get the updates on your Linux system by configuring a Corretto Apt or Yum repo. Feedback is welcomed!
Amazon Managed Service for Prometheus now supports configuring a minimum firing period for alerts
Amazon Managed Service for Prometheus now supports the ability to configure the minimum duration for which an alert remains active, after the condition that triggered the alert is no longer valid. Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale. Prometheus is a popular Cloud Native Computing Foundation open-source project for monitoring and alerting on metrics from compute environments such as Amazon Elastic Kubernetes Service.\n Using a minimum firing period enables you to maintain alerts in active state until the problem is fully resolved, regardless of short-term data changes. It also reduces alert noise and prevents alerts from constantly switching between “firing” and “resolved” states. This feature is now available in all AWS regions where Amazon Managed Service for Prometheus is generally available. Check out the Amazon Managed Service for Prometheus user guide for detailed documentation. To learn more about Amazon Managed Service for Prometheus, visit the product page and pricing page.
AWS Blogs
AWS Japan Blog (Japanese)
- Introducing the AWS Generated AI Case Study by Metavers Co., Ltd. “Using Amazon Bedrock in an AI Bot Service in the Metaverse Space to Reduce Development Man-hours Required to Increase the Number of Generated AI Models Supported”
- AWS Summit Japan 2024 — Industry Village /Railway Booth Report Blog (Part 2)
- AWS Summit Japan 2024 — Industry Village /Railway Booth Report Blog (Part 1)
- Understanding and optimizing the Amazon Timestream Compute Unit (TCU) for efficient management of time series data
- Strengthening security in the age of generative AI: re:Invent 2024 must-see session
- Fostering a security-first mindset: 3 key themes from AWS re:Invent 2023
AWS Architecture Blog
Containers
- Amazon EKS optimized Amazon Linux 2023 accelerated AMIs now available
- Scaling a Large Language Model with NVIDIA NIM on Amazon EKS with Karpenter
- Inside Pinterest’s Custom Spark Job logging and monitoring on Amazon EKS: Using AWS for Fluent Bit, Amazon S3, and ADOT
- Inside Pinterest’s Custom Spark Job logging and monitoring on Amazon EKS: Using AWS for Fluent Bit, Amazon S3, and ADOT
AWS Database Blog
AWS DevOps & Developer Productivity Blog
- Enhance release control with AWS CodePipeline stage-level conditions
- Instant Well-Architected CDK Resources with Solutions Constructs Factories
- Five ways to optimize code with Amazon Q Developer
- Code security scanning with Amazon Q Developer
AWS HPC Blog
AWS Machine Learning Blog
- How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines
- How SailPoint uses Anthropic’s Claude on Amazon Bedrock to automatically generate TypeScript code for SaaS connectors
- Map Earth’s vegetation in under 20 minutes with Amazon SageMaker
- Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS
Open Source Project
AWS CLI
OpenSearch
Amplify UI
- @aws-amplify/ui-vue@4.2.21
- @aws-amplify/ui-react-storage@3.3.8
- @aws-amplify/ui-react-notifications@2.0.33
- @aws-amplify/ui-react-native@2.2.15
- @aws-amplify/ui-react-liveness@3.1.14
- @aws-amplify/ui-react-geo@2.0.29
- @aws-amplify/ui-react-core-notifications@2.0.28
- @aws-amplify/ui-react-core@3.0.28
- @aws-amplify/ui-react-ai@0.3.2
- @aws-amplify/ui-react@6.5.4