AWS News Blog
Category: Announcements
DNS over HTTPS is now available in Amazon Route 53 Resolver
Starting today, Amazon Route 53 Resolver supports using the DNS over HTTPS (DoH) protocol for both inbound and outbound Resolver endpoints. As the name suggests, DoH supports HTTP or HTTP/2 over TLS to encrypt the data exchanged for Domain Name System (DNS) resolutions. Using TLS encryption, DoH increases privacy and security by preventing eavesdropping and […]
The AWS Canada West (Calgary) Region is now available
Update: December 20, 2023 — The list of services available today at launch is now updated with AWS Artifact, AWS Cloud Control API, AWS Directory Services, EC2 Image Builder, and AWS Transit Gateway for a new total of 70 services. Today, we are opening a new Region in Canada. AWS Canada West (Calgary), also known […]
Zonal autoshift – Automatically shift your traffic away from Availability Zones when we detect potential issues
Today we’re launching zonal autoshift, a new capability of Amazon Route 53 Application Recovery Controller that you can enable to automatically and safely shift your workload’s traffic away from an Availability Zone when AWS identifies a potential failure affecting that Availability Zone and shift it back once the failure is resolved. When deploying resilient applications, […]
Amazon SageMaker Studio adds web-based interface, Code Editor, flexible workspaces, and streamlines user onboarding
Today, we are announcing an improved Amazon SageMaker Studio experience! The new SageMaker Studio web-based interface loads faster and provides consistent access to your preferred integrated development environment (IDE) and SageMaker resources and tooling, irrespective of your IDE choice. In addition to JupyterLab and RStudio, SageMaker Studio now includes a fully managed Code Editor based […]
Three new capabilities for Amazon Inspector broaden the realm of vulnerability scanning for workloads
Today, Amazon Inspector adds three new capabilities to increase the realm of possibilities when scanning your workloads for software vulnerabilities: Amazon Inspector introduces a new set of open source plugins and an API allowing you to assess your container images for software vulnerabilities at build time directly from your continuous integration and continuous delivery (CI/CD) […]
Package and deploy models faster with new tools and guided workflows in Amazon SageMaker
I’m happy to share that Amazon SageMaker now comes with an improved model deployment experience to help you deploy traditional machine learning (ML) models and foundation models (FMs) faster. As a data scientist or ML practitioner, you can now use the new ModelBuilder class in the SageMaker Python SDK to package models, perform local inference […]
Use natural language to explore and prepare data with a new capability of Amazon SageMaker Canvas
Today, I’m happy to introduce the ability to use natural language instructions in Amazon SageMaker Canvas to explore, visualize, and transform data for machine learning (ML). SageMaker Canvas now supports using foundation model-(FM) powered natural language instructions to complement its comprehensive data preparation capabilities for data exploration, analysis, visualization, and transformation. Using natural language instructions, […]
Amazon SageMaker adds new inference capabilities to help reduce foundation model deployment costs and latency
Today, we are announcing new Amazon SageMaker inference capabilities that can help you optimize deployment costs and reduce latency. With the new inference capabilities, you can deploy one or more foundation models (FMs) on the same SageMaker endpoint and control how many accelerators and how much memory is reserved for each FM. This helps to […]