AWS Config now supports the ability to use an AWS Key Management Service (KMS) key or alias Amazon Resource Name (ARN) that you provide, to encrypt the data delivered to your Amazon Simple Storage Service (S3) bucket. By default, AWS Config delivers configuration history and snapshot files to your S3 bucket and encrypts the data at rest using S3 AES-256 server-side encryption, SSE-S3. With this release, if you provide AWS Config with your KMS key or alias ARN, AWS Config will use that KMS key instead of using AES-256 encryption.
Updated digital training for AWS Partners on End User Computing and Machine Learning
AWS Training and Certification is excited to announce the availability of three updated digital courses for AWS Partners.
Amazon Elasticsearch Service adds Trace Analytics, a new feature for distributed tracing
Amazon Elasticsearch Service adds Trace Analytics, a new feature for distributed tracing that enables developers and IT operators to find and fix performance problems in distributed applications, leading to faster problem resolution times.
Amazon SNS now supports sending SMS messages to US destinations using ten-digit long codes and toll-free numbers
Amazon Simple Notification Service (Amazon SNS) now supports ten-digit long codes (10DLC) and toll-free numbers (TFN) for sending SMS text messages from businesses to consumers in the US. These new origination ID types enable SNS customers to send messages using a phone number that is unique to them, and provide improved delivery rates.
Simplified Amazon Elastic File System management console now available in AWS GovCloud (US) Regions
You can now use the updated Amazon Elastic File System (Amazon EFS) console in the AWS GovCloud (US) Regions. The updated console makes it even easier for you to create and manage your file system resources. In addition to a refreshed look and feel, you can create file systems configured with the recommended settings in just few clicks. You can also monitor your file system’s behavior using Amazon CloudWatch metrics and alarms natively in the Amazon EFS console.
AWS Glue Studio now supports reading uncatalogued data from Amazon S3 and inferring its schema
AWS Glue now supports reading data stored in Amazon S3 without first adding it to the AWS Glue Data Catalog. This feature makes it fast to start authoring Extract, Transform, and Load (ETL) and ELT jobs in AWS Glue Studio by allowing you to use locations and objects in Amazon S3 directly as data sources. AWS Glue infers the schema of the data in real time , allowing you to easily define transforms on it in the AWS Glue Studio visual job authoring interface.
Amazon Pinpoint now supports 10DLC and toll-free numbers
Amazon Pinpoint now includes the ability to register Ten-Digit Long Codes (10DLC), and purchase toll-free phone numbers. Both 10DLC phone numbers and toll-free numbers are used to send SMS text messages to recipients in the United States. Both of these types of phone numbers enable you to send Application-to-Person (A2P) messages with improved delivery rates and at an affordable price.
AWS Glue Studio jobs can now update AWS Glue Data Catalog tables
AWS Glue Studio now supports updating the AWS Glue Data Catalog during job runs. This feature makes it easy to keep your tables up to date as AWS Glue writes new data into Amazon S3, making the data immediately queryable from any analytics service compatible with the AWS Glue Data Catalog.
Amazon Redshift Query Editor now supports clusters with enhanced VPC routing, longer query run times, and all node types
You can now use the Amazon Redshift Query editor with Amazon Redshift clusters enabled with enhanced VPC routing. You can leverage AWS Secrets Manager to store your cluster credentials and use that with the Amazon Redshift Query Editor.
Amazon ml.Inf1 instances are now available on Amazon SageMaker in 14 additional AWS regions
Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. To deploy ML models for real-time predictions, Amazon SageMaker provides you with a large selection of
AWS compute instances, so you can find the right cost to performance ratio depending on your requirements. One such instance type is
Amazon Inf1, powered by
AWS Inferentia, a custom chip built from the ground up by AWS to accelerate ML inference workloads. Amazon ml.Inf1 instances were available in Amazon SageMaker in the US East (N. Virginia) and US West (Oregon) regions. Starting today, Amazon ml.Inf1 instances are available on Amazon SageMaker in 14 additional AWS regions worldwide.