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. The Amazon Inf1 instance is powered by AWS Inferentia, a custom chip built from the ground up by AWS to accelerate ML inference workloads. Starting today, Amazon ml.Inf1 instances are additionally available on Amazon SageMaker in the Asia Pacific (Sydney), Europe (Stockholm), Europe (Milan), and AWS GovCloud (US-West) regions.
AWS Now Allows Customers To Pay For Their Usage in Advance
With Advance Pay, you can now pay for your AWS usage in advance, and pay your future invoices automatically. Once you add funds to Advance Pay, AWS will automatically use them to pay for your invoices when they become due for payment.
AWS AppSync Now Available in Asia Pacific (Osaka)
Starting today, AWS AppSync is available in the Asia Pacific (Osaka) region.
AWS Organizations increases quotas for tag policies
Tag policies help you govern tag consistency across resources in your organization’s accounts. For example, with tag policies, you can define rules on tag keys, including how they should be capitalized and their allowed values. With this release, the maximum size of a tag policy document has been increased from 2.5k to 10k characters for both new and existing tag policies. The number of allowed policies has also been increased from 5 to 10.
Amazon RDS for PostgreSQL Supports New Minor Versions 13.3, 12.7, 11.12, 10.17, and 9.6.22
Following the announcement of updates to the PostgreSQL database , we have updated Amazon RDS for PostgreSQL to support PostgreSQL minor versions 13.3, 12.7, 11.12, 10.17, and 9.6.22. This release closes security vulnerabilities in PostgreSQL and contains bug fixes and improvements done by the PostgreSQL community.
Amplify Flutter now supports Null Safety
Today, we’re announcing that we have updated AWS Amplify’s tools and libraries for Flutter to support null safety for all of our use cases. Flutter developers can now enjoy all the easy-to-integrate Amplify functionality with higher reliability and improved developer ergonomics. Sound null safety is a Dart language feature in which code is non-nullable by default and turns runtime null-dereference errors into edit-time analysis errors. This enables developers to reduce bugs in their code and benefit from performance improvements through smaller binaries and faster execution.
The Amazon Redshift Data API is now available in the AWS Asia Pacific (Osaka) Region
You can now use the Amazon Redshift Data API in the AWS Asia Pacific (Osaka) Region to access Amazon Redshift. The Redshift Data API simplifies data access, ingest, and egress from languages supported with the AWS SDK such as Python, Go, Java, Node.js, PHP, Ruby, and C++.
AWS Cloud Map supports configuring negative caching for DNS queries
AWS Cloud Map now provides the ability to configure the negative caching for DNS queries. AWS Cloud Map is a cloud resource discovery service that allows customers to define custom names for their application resources, such as Amazon Elastic Container Services (ECS) tasks, Amazon Elastic Compute Cloud (EC2) instances, Amazon DynamoDB tables, or any other cloud resource. They can then use these custom names to discover the network location and metadata of these cloud resources from their applications using AWS SDK and authenticated API queries.
AWS IoT Core for LoRaWAN now supports VPC endpoints
AWS IoT Core for LoRaWAN now supports customer endpoints in VPCs. With this feature, your IoT devices and applications can communicate with IoT Core for LoRaWAN from your Virtual Private Cloud (VPC) without the need to allow traffic from the VPC to public IP addresses. VPC endpoints are powered by AWS PrivateLink, an AWS technology that enables private communication between your VPC and AWS services, like AWS IoT Core for LoRaWAN, on the private AWS network.
NoSQL Workbench for Amazon DynamoDB now helps you run frequent operations more easily to modify and access table data
NoSQL Workbench for DynamoDB , a client-side tool that helps you design, visualize, and query nonrelational data models by using a point-and-click interface, now helps you run frequent data-plane operations more easily to modify and access table data. Now, you can save or bookmark as many as 50 DynamoDB data-plane operations in the NoSQL Workbench operation builder.