8/4/2023, 12:00:00 AM ~ 8/7/2023, 12:00:00 AM (UTC)
Recent Announcements
Announcing support for ml.p5 instances for Amazon SageMaker Model Training
Amazon SageMaker training jobs now support ml.p5 instances, powered by NVIDIA H100 chips, which are purpose built for high-performance ML training applications in the cloud. You can use ml.p5 instances on SageMaker to train some of the most demanding models. This includes large language models (LLMs) and diffusion models powering the most demanding generative AI applications. These applications include question answering, code generation, video and image generation, and speech recognition.
Amazon SageMaker announces a new direct integration with Salesforce Data Cloud
Today, Amazon SageMaker announces a new direct integration with Salesforce Data Cloud, allowing customers to securely access their data in Salesforce Data Cloud from SageMaker to build, train, and deploy ML models on SageMaker. Customers can then bring the ML models into Salesforce Data Cloud using Salesforce Einstein Studio to power their ML-driven business applications.
Announcing the release of AWS Thinkbox Deadline 10.3
AWS Thinkbox Deadline 10.3.0.9 is generally available with a DeadlineCommand application plugin, updated support for third-party integrations, and an upgrade to Python 3.10.
Amazon RDS simplifies connectivity between an RDS or Aurora database and AWS Lambda
Starting today, you have the option to automatically set up connectivity between an Amazon Relational Database Services (Amazon RDS) or an Amazon Aurora database and an AWS Lambda function using an Amazon RDS Proxy. From the Amazon RDS console, you can choose an action to set up a connection between your Amazon RDS or Amazon Aurora database and a Lambda function using an existing Amazon RDS Proxy or using an auto-created, new Amazon RDS Proxy in your account. Amazon RDS automatically sets up your related network settings to enable a secure and scalable connection between the Lambda function and the Amazon RDS or Amazon Aurora database.
AWS Transit Gateway Flow Logs is now available in five additional regions
Starting today, Amazon Virtual Private Cloud (VPC) customers can use AWS Transit Gateway Flow Logs in five additional AWS regions: Middle East (UAE), Europe (Zurich), Europe (Spain), Asia Pacific (Hyderabad), and Asia Pacific (Melbourne).
Amazon VPC now supports primary IPv6 address on an elastic network interface
Amazon Web Services (AWS) announces the launch of primary IPv6 address in a Virtual Private Cloud (VPC), enabling customer to make the first IPv6 address associated with their elastic network interface (ENI) immutable. Once the first IPv6 address is made primary on the ENI, the IPv6 address cannot be removed as long as the ENI is attached to an instance or until the instance is terminated, effectively making the address immutable. The primary IPv6 address can be an Amazon provided IPv6 address or a Bring your own IP (IPv6) addresses.
Amazon Translate enables language detection for real time document translation
Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Today, we are enabling language detection for real time document translation. Customers can now automatically detect the source document’s dominant language leveraging Amazon Comprehend’s language detection API.
Amazon Aurora now supports automatic backup of deleted clusters
Amazon Aurora MySQL-Compatible and PostgreSQL-Compatible editions now supports automatic backups for deleted clusters. Customers can now choose to retain automatic backups when deleting an Aurora cluster, and later use it to restore a new cluster from it.
AWS Resilience Hub announces application resilience drift detection
AWS Resilience Hub adds support for application resilience drift detection, allowing you to opt into notifications that your application is no longer meeting the recovery objectives set by your business. Resilience Hub provides a single place to define, validate, and track the resilience of your applications so that you can avoid unnecessary downtime caused by software, infrastructure, or operational disruptions.
AWS Blogs
AWS Japan Blog (Japanese)
- The AWS Glue Studio notebook is integrated with Amazon CodeWhisperer. Use AI coding assistance to quickly build data integration jobs
- Monitoring hybrid and multi-cloud environments using AWS Systems Manager and Amazon CloudWatch
AWS Japan Startup Blog (Japanese)
AWS Architecture Blog
AWS Cloud Operations & Migrations Blog
Containers
AWS Database Blog
- Exploring the feature packed 1.2.1.0 release for Amazon Neptune
- Introducing Amazon Managed Blockchain Access Bitcoin
AWS Developer Tools Blog
AWS DevOps Blog
The Internet of Things on AWS – Official Blog
AWS Machine Learning Blog
- Optimize data preparation with new features in AWS SageMaker Data Wrangler
- Index your Alfresco content using the new Amazon Kendra Alfresco connector
- Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML
- Bring your own AI using Amazon SageMaker with Salesforce Data Cloud