You can now restrict direct access to AWS Elemental MediaPackage by securing requests for VOD content using CDN authorization. With CDN authorization, content requests require a specific HTTP origin header and authorization code. MediaPackage verifies this code before it serves any content. For instructions on how to configure CDN authorization for live endpoints, please refer to the documentation pages .
Amazon Connect adds filtering by channel to the ‘Get queue metrics’ block
You can now filter queue metrics by channel within contact flows for a single queue. With the launch of chat, queue metrics blended both voice and chat contacts. Now you can filter queue metrics by contact type when configuring the ‘Get queue metrics’ block. For example, based on the number of contacts in a blended queue, the contact flow designer can calculate the effective hold time to manage the duration a customer spends waiting.
Amazon ECS adds support for AWS PrivateLink in three additional regions
Amazon Elastic Container Service (ECS) has added support for AWS PrivateLink in three additional regions: Africa (Cape Town), Europe (Milan), and Middle East (Bahrain).
Amazon Aurora with PostgreSQL Compatibility Supports T3.large Instances
Amazon Aurora with PostgreSQL compatibility now supports T3.large instances, in addition to the T3.medium and R5 class instances already available. Using T3.large instances with Amazon Aurora PostgreSQL is a cost-effective option for smaller workloads such as test, dev, and QA, while still giving you the option to use larger class instances for production deployments.
Announcing the General Availability of Amazon EC2 G4dn Bare Metal Instances – GPU instances with up to 8 NVIDIA T4 GPUs
Amazon EC2 has the cloud’s broadest and most capable portfolio of hardware-accelerated instances featuring GPUs, FPGAs, and our own custom ML inference chip, AWS Inferentia. G4dn instances offer the best price/performance for GPU based ML inference, training less-complex ML models, graphics applications others that need access to NVIDIA libraries such as CUDA, CuDNN and NVENC.
Amazon Augmented AI enables quality control via metadata for customers using a private workforce
Amazon Augmented AI (Amazon A2I) is an AWS service that makes it easy to build the workflows required for human review of ML predictions (such as predictions from Amazon Rekognition, Amazon Textract, Amazon Translate or Amazon Comprehend). Amazon A2I provides you the option to work with human reviewers or “workers” inside your own organization through a private workforce, Amazon Mechanical Turk workforce of over 500,000 independent contractors, or vendor-managed workforces pre-screened by AWS for quality and security procedures. Starting today, for your private workforce, Amazon A2I provides additional metadata for each worker that reviews your data, enabling you to uniquely identify them and implement quality control for your workforce.
Now Install Custom Kernels and Data Science Libraries on EMR clusters directly from EMR Notebooks
EMR Notebooks is a managed service that provides a full-managed, Jupyter-based notebook to data scientists. A Jupyter kernel provides programming language support in Jupyter. EMR IPython is the default kernel. Additional kernels include R, Julia, and many more . Today we are announcing a new feature that allows data scientists, analysts, and engineers to install and execute custom kernels on the EMR cluster directly from the EMR Notebook. Before this feature, installing custom kernels on a cluster required a multi-step installation process.
WebM outputs with VP8 and VP9 video now available with AWS Elemental MediaConvert
AWS Elemental MediaConvert now offers the ability to encode WebM outputs using VP8 or VP9 video with Vorbis or Opus audio. This addition gives you greater choice when selecting a format for distributing video for browser-based and mobile device playback.
Real-time anomaly detection support in Amazon Elasticsearch Service
Amazon Elasticsearch Service now offers anomaly detection, which uses machine learning to detect anomalies on real-time streaming data and identifies issues as they evolve so you can mitigate them immediately. This new feature is built on Random Cut Forests (RCF), a proven algorithm for real-time streaming, and is domain agnostic, making it a great choice for a wide range of log analytics applications.
AWS Elastic Beanstalk announces General Availability of Amazon Linux 2 Based Tomcat platforms
You can now run your applications on the AWS Elastic Beanstalk using the new generation of Tomcat Elastic Beanstalk platforms built on top of Amazon Linux 2 Operating System.