9/5/2023, 12:00:00 AM ~ 9/6/2023, 12:00:00 AM (UTC)
Recent Announcements
Amazon EC2 High Memory instances now available in Asia Pacific (Seoul) Region
Starting today, Amazon EC2 High Memory instances with 9TiB of memory (u-9tb1.112xlarge) are now available in Asia Pacific (Seoul) Region. Customers can start using these new High Memory instances with On Demand and Savings Plan purchase options.
AWS Trusted Advisor adds 1 new fault tolerance check
AWS Trusted Advisor now supports a new fault tolerance check for events that fail processing during asynchronous invocations with AWS Lambda. AWS Trusted Advisor evaluates your AWS account with automated checks and provides cloud optimization recommendations to reduce costs, improve performance, increase security and fault tolerance, and monitor service quotas.
Amazon FSx for NetApp ONTAP is now available in the AWS Israel (Tel Aviv) Region
Customers can now create Amazon FSx for NetApp ONTAP file systems in the AWS Israel (Tel Aviv) Region.
Amazon RDS for PostgreSQL now supports h3-pg for geospatial indexing
Amazon Relational Database Service (RDS) for PostgreSQL now supports the h3-pg extension, which provides an API to H3, an open-source hexagonal, hierarchical geospatial indexing system. With this extension, you can perform different kinds of spatial analysis over large datasets, including efficient indexing and lookups, modeling flow through a grid, and applying machine learning models over your geospatial data stored in Amazon RDS for PostgreSQL.
AWS SAM CLI announces local testing and debugging support on Terraform projects
The AWS Serverless Application Model (SAM) Command Line Interface (CLI) announces the launch of SAM CLI local testing and debugging on HashiCorp Terraform. The AWS SAM CLI is a developer tool that makes it easier to build, test, package, and deploy serverless applications. Terraform is an infrastructure as code tool that lets you build, change, and version cloud and on-premises resources safely and efficiently.
AWS Partner network launches new AWS Automotive Competency
We are excited to announce the launch of the AWS Automotive Competency designed to highlight APN Partners who have demonstrated technical proficiency and proven customer success in the automotive industry. AWS Automotive Competency Partners have shown their AWS competency across at least one of eight automotive strategic workloads: 1/Autonomous Mobility (AM), 2/Software Defined Vehicle (SDV), 3/Connected Mobility, 4/ Sustainability, 5/Digital Customer Experience (DCE), 6/Product Engineering, 7/Manufacturing, and 8/Supply Chain.
Amazon MWAA expands support for customer compliance with ISO and IRAP
Amazon Managed Workflows for Apache Airflow (MWAA) has added certifications for International Organization for Standardization (ISO) and Information Security Registered Assessors Program (IRAP). Amazon Web Services (AWS) maintains certifications through extensive audits of its controls to ensure that information security risks that affect the confidentiality, integrity, and availability of company and customer information are appropriately managed.
Amazon CloudWatch adds Amazon EKS control plane logs as Vended Logs
Amazon Elastic Kubernetes Service (EKS) control plane logs are now classified as Vended Logs in Amazon CloudWatch Logs. Vended Logs are specific AWS service logs natively published by AWS services on behalf of the customer and available at volume discount pricing.
AWS Compute Optimizer supports rightsizing for G4dn and P3 instances
AWS Compute Optimizer now supports 11 additional Amazon Elastic Compute Cloud (Amazon EC2) instance types. Newly supported instance types include accelerated computing instance families (G4dn, P3). The newly launched recommendations help customers discover opportunities to optimize their Machine Learning (ML), High-performance computing (HPC), and graphically intensive workloads.
Amazon SageMaker geospatial capabilities now support Notebook with GPU-based Instances
You can now use the geospatial image within SageMaker Studio’s notebook with GPU-based instances. Support for GPU-based instances with the geospatial image makes it easier for data scientists and machine learning (ML) engineers to build, train, and deploy ML models using geospatial data.
Amazon Personalize simplifies implementation by extending column limits
Amazon Personalize now makes it easier to implement machine learning powered personalization by reducing the need for experimentation with increased dataset column limits. Amazon Personalize uses datasets provided by customers to train custom personalization models on their behalf. Some customers experiment with multiple iterations of their datasets in order to optimize model performance while fitting within column limits on datasets. With this launch, we increased column limits to reduce the need for experimentation and accelerate implementation. Customers can now bring double the number of columns to their Items datasets (100 columns) and five times as many columns to their Users datasets (25 columns). With these increases, customers can now bring more of their data and allow Personalize to optimize model performance on their behalf.
AWS Blogs
AWS Japan Blog (Japanese)
- Operate and manage VMware Cloud on AWS with AWS Systems Manager
- Introducing Amazon FSx for NetApp ONTAP VPC peering on VMware Cloud on AWS
- Improving Visibility of Carbon Emissions Data with the AWS Customer Carbon Footprint Tool
- Optimization of FastAPI and PyTorch models in Amazon EC2 Inf1 and Inf2 instances when using AWS Inferentia
AWS News Blog
- AWS End User Computing Innovation Day 2023: Architecting End User Computing for Change and Agility
- How Vercel Shipped Cron Jobs in 2 Months Using Amazon EventBridge Scheduler
Business Productivity
AWS Compute Blog
AWS Developer Tools Blog
AWS HPC Blog
AWS for Industries
- CPG Partner Conversations: GE Digital uses AI to drive energy optimization
- Automate Packet Acceleration configuration using DPDK on Amazon EKS
AWS Machine Learning Blog
- Build a generative AI-based content moderation solution on Amazon SageMaker JumpStart
- How Carrier predicts HVAC faults using AWS Glue and Amazon SageMaker
- Optimize deployment cost of Amazon SageMaker JumpStart foundation models with Amazon SageMaker asynchronous endpoints
AWS for M&E Blog
AWS Security Blog
- Reduce the security and compliance risks of messaging apps with AWS Wickr
- Establishing a data perimeter on AWS: Allow access to company data only from expected networks