6/9/2022, 12:00:00 AM ~ 6/10/2022, 12:00:00 AM (UTC)
Recent Announcements
Amazon RDS for SQL Server now supports SQL Server 2014 SP3 CU4 SU
A new minor version of Microsoft SQL Server is now available on Amazon Relational Database Service (Amazon RDS) for SQL Server, offering performance and security fixes. Amazon RDS for SQL Server supports the new minor version for Microsoft SQL Server 2014 on the Express, Web, Standard, and Enterprise Editions.
Amazon EC2 R5n instances now available in additional regions
Starting today, Amazon EC2 R5n instances are available in the Africa (Cape Town) and Europe (Milan) Regions.
Incident Manager from AWS Systems Manager now streamlines responses to ServiceNow Incidents
Starting today, customers who use ServiceNow can respond, investigate and resolve incidents affecting their AWS-hosted applications using AWS Systems Manager Incident Manager and the AWS Service Management Connector. AWS Systems Manager is the operations hub for AWS applications and resources, that helps to automate reactive processes to quickly diagnose and remediate operational issues. With the Incident Manager integration with ServiceNow, customers can now automate their incident response plans in AWS Systems Manager and automatically synchronize their incidents into ServiceNow. This feature enables faster resolution of critical application availability and performance issues without disrupting existing workflows in ServiceNow. The AWS Service Management Connector also integrates with AWS Systems Manager OpsCenter to view, investigate, and resolve operational issues related to your AWS resources.
Split data into train and test sets in a few clicks with Amazon SageMaker Data Wrangler
Today we are announcing the general availability of splitting data into train and test splits with Amazon SageMaker Data Wrangler. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Snowflake, and Databricks Delta Lake.
Today, you can export features into Amazon SageMaker Feature Store faster than ever with export functionality now available in Amazon SageMaker Data Wrangler. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Amazon SageMaker Feature Store, and Snowflake. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
AWS Health Dashboard streamlines service transparency via Connector for ServiceNow
Starting today, customers can now view AWS Health and service status availability powered by AWS Health Dashboard in the Connector for ServiceNow. AWS Health provides ongoing visibility into resource performance and the availability of AWS services. Customers can view the AWS Health Dashboard to get relevant and timely information to help manage events in progress, prepare for planned activities and provide information on accounts and services. AWS Health Dashboard delivers alerts and notifications initiated by changes in the health of AWS resources for near-instant event visibility and guidance to help accelerate troubleshooting.
Amazon SageMaker Data Wrangler now enables model training with Amazon SageMaker Autopilot
Starting today, you can invoke SageMaker Autopilot from SageMaker Data Wrangler to automatically train, tune and build machine learning models. SageMaker Data Wrangler reduces the time to aggregate and prepare data for machine learning (ML) from weeks to minutes. SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Previously, customers used Data Wrangler to prepare their data for machine learning and Autopilot for training machine learning models independently. With this unified experience, you can now prepare your data in SageMaker Data Wrangler and easily export to SageMaker Autopilot for model training. With just a few clicks, you can automatically build, train, and tune machine learning models, making it easier to automatically employ state-of-the-art feature engineering techinques, train high quality machine learning models, and gain insights from your data faster.
Starting today, customers can view CloudTrail event logs corresponding to a change request using AWS Systems Manager Change Manager ServiceNow Connector. The integration helps customers understand which resources were impacted by the change request, thereby providing customers with more visibility into the change request execution. AWS Systems Manager Change Manager helps customers request, approve, implement, and report on operational changes to their application configuration and infrastructure on AWS and on-premises. Using AWS Service Management Connector, customers can create and approve change requests, and get the CloudTrail events associated with these change requests in the ServiceNow console, making the integration with AWS Change Manager even deeper.
Amazon Transcribe real-time streaming is now available in AWS GovCloud (US) Regions
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Today, we are excited to announce availability of Amazon Transcribe streaming APIs in AWS GovCloud (US) Regions.
Introducing Amazon R6id instances
AWS announces the general availability of new memory-optimized Amazon EC2 R6id instances. R6id instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors, with an all-core turbo frequency of 3.5 GHz, up to 7.6 TB of local NVMe-based SSD block-level storage, and up to 15% better price performance than R5d instances. Furthermore, R6id instances also offer up to 58% higher TB storage per vCPU and 34% lower cost per TB and come with always-on memory encryption using Intel Total Memory Encryption (TME).
Amazon Chime SDK now supports live transcription in AWS GovCloud (US)
Developers can now use live transcription with Amazon Chime SDK in AWS GovCloud (US) Regions to generate live audio transcriptions. The Amazon Chime SDK lets developers add intelligent real-time audio, video, and screen share to their web and mobile applications. AWS GovCloud (US) allows U.S. government agencies and contractors to move communication workloads into the cloud while addressing their specific regulatory and compliance requirements.
AWS Service Catalog is now available in (Jakarta) Indonesia
AWS Service Catalog is now available to customers in the AWS Region in (Jakarta) Indonesia.
AWS Blogs
AWS Japan Blog (Japanese)
- Introducing Retail Demo Stores, where you can learn platforms that deliver compelling customer experiences
- Managing Application Security and Compliance with the AWS Cloud Development Kit and cdk-nag
AWS News Blog
AWS Startups Blog
AWS Open Source Blog
AWS Cloud Financial Management
AWS Big Data Blog
Front-End Web & Mobile
AWS HPC Blog
AWS for Industries
- Get ready for re:MARS: The Healthcare and Life Sciences guide to re:MARS 2022
- AWS delivers on the promise of Industry 4.0 at The Smart Factory @ Wichita
AWS Machine Learning Blog
- How service providers can use natural language processing to gain insights from customer tickets with Amazon Comprehend
- Incremental training with Amazon SageMaker JumpStart
- How eMagazines utilizes Amazon Polly to voice articles for school-aged kids
- Weekly forecasts can now start on Sunday with Amazon Forecast
- Continuously monitor predictor accuracy with Amazon Forecast
- Unified data preparation and model training with Amazon SageMaker Data Wrangler and Amazon SageMaker Autopilot