6/6/2022, 12:00:00 AM ~ 6/7/2022, 12:00:00 AM (UTC)
Recent Announcements
Amazon Chime SDK announces messaging conversation APIs
Amazon Chime SDK messaging enables developers to connect business users and their customers with secure, scalable messaging in their web and mobile applications. Starting today, developers have access to new APIs that provide the ability to search for specific channels as well as automatically pre-fetch information when clients connect to display the messaging channels that require users attention when opening their application.
Amazon AppStream 2.0 adds larger instance sizes to the General Purpose instance family
Amazon AppStream 2.0 adds new instance sizes stream.standard.xlarge, and stream.standard.2xlarge to the General Purpose instance family. stream.standard.xlarge offers 4 vCPUs and 16 GiB of memory, and stream.standard.2xlarge offers 8 vCPUs and 32 GiB of memory. These new instances provide higher performance options of compute, memory and networking resources for a diverse set of workloads that require more system resources to run effectively. A few examples include Integrated Development Environments, Web Servers and Code Repositories. The new instance sizes are available across all AppStream fleet types Always-On, On-Demand, and Elastic fleets.
AWS DeepRacer introduces quota management
AWS DeepRacer Multi-user mode provides an exciting way for organizations to sponsor multiple AWS DeepRacer participants under one AWS account. Until now, AWS DeepRacer event organizers lacked ways to preemptively set budgets and controls for participants and maintain, monitor, and control their budgets by monitoring usage.
Amazon RDS for MySQL supports new minor versions 5.7.38 and 8.0.29
Following the announcement of updates in MySQL database versions 5.7 and 8.0, we have updated Amazon Relational Database Service (Amazon RDS) for MySQL to support MySQL minor versions 5.7.38, and 8.0.29.
Amazon Personalize adds support for unstructured text in six new languages
Amazon Personalize has extended support for unstructured text in six new languages - Spanish, German, French, Portuguese, Chinese (Simplified and Traditional) and Japanese. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Last year, Amazon Personalize launched support for unstructured text in English which enabled customers to unlock the information trapped in their product descriptions, reviews, movie synopses or other unstructured text to generate highly relevant recommendations for users. Amazon Personalize is now extending this support to unstructured text in six new languages allowing customers with global catalogues to use this feature. Customers provide unstructured text as a part of their catalogue and, using state-of-the-art natural language processing (NLP) techniques, Amazon Personalize automatically extracts key information about the items and uses it when generating recommendations for your users.
Amazon SageMaker Studio and SageMaker Notebook Instance now come with JupyterLab 3 notebooks
Amazon SageMaker comes with two options to spin up fully managed notebooks for exploring data and building machine learning (ML) models. The first option is fast start, collaborative notebooks accessible within Amazon SageMaker Studio - a fully integrated development environment (IDE) for machine learning. You can quickly launch notebooks in Studio, easily dial up or down the underlying compute resources without interrupting your work, and even share your notebook as a link in few simple clicks. In addition to creating notebooks, you can perform all the ML development steps to build, train, debug, track, deploy, and monitor your models in a single pane of glass in Studio. The second option is Amazon SageMaker Notebook Instance - a single, fully managed ML compute instance running notebooks in cloud, offering customers more control on their notebook configurations. Today, we are excited to announce that both SageMaker Studio and SageMaker Notebook Instance now come with JupyterLab 3 notebooks to boost productivity of data scientists and developers building ML models on SageMaker.
AWS Blogs
AWS Japan Blog (Japanese)
- Amazon ECS on AWS Fargate Cost Optimization Checklist
- Axis Communications surveillance cameras and Amazon Rekognition enable scalable, accurate, and cost-effective video analytics
- Digital Twin on AWS: Understanding the “State” with the L2 Informative Digital Twin
- Migrating Oracle Database to Amazon RDS Custom with Physical Copies Using RMAN Duplication
- Dynamically personalize the user experience within your product with Amazon Pinpoint In-App Messaging
- Migration updates announced at re:invent 2021
- Weekly AWS — 2022/5/30
AWS News Blog
AWS Architecture Blog
AWS Database Blog
AWS for Industries
- Improving Healthcare Education and Simulation with AWS
- Building a foundation for GxP regulated IoT workloads on AWS
- Reinventing medical education with personalized video streaming
- How MOIA is building sustainable urban transportation with AWS
AWS Machine Learning Blog
- Amazon SageMaker Studio and SageMaker Notebook Instance now come with JupyterLab 3 notebooks to boost developer productivity
- Reinventing retail with no-code machine learning: Sales forecasting using Amazon SageMaker Canvas
Networking & Content Delivery
- Connecting Networks with Overlapping IP Ranges
- Introducing IPv6-only subnets and EC2 instances
- Expedite your IPv6 adoption with PrivateLink services and endpoints
AWS Security Blog
- Get more out of service control policies in a multi-account environment
- A sneak peek at the data protection and privacy sessions for AWS re:Inforce 2022