Compute Announcements:
- Launch of M6g, R6g, C6g Instances (Powered by Arm-based AWS Graviton2 Processors) - Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-new-amazon-ec2-m6g-c6g-and-r6g-instances-powered-by-next-generation-arm-based-aws-graviton2-processors/
- Amazon ECS Cluster Auto Scaling Now Available - With ECS Cluster Auto Scaling, your ECS clusters running on EC2 can automatically scale as needed to meet the resource demands of all tasks and services in your cluster, including scaling to and from zero. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-ecs-cluster-auto-scaling-now-available/
- Amazon ECS Capacity Providers Now Available - Capacity Providers are a new way to manage compute capacity for containers, that allow the application to define its requirements for how it uses the capacity. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-ecs-capacity-providers-now-available/
- AWS launches Fargate Spot, save up to 70% for fault tolerant applications - AWS Fargate now supports Fargate Spot, a new deployment option on AWS Fargate to run fault-tolerant applications with up to 70% discount compared to Fargate prices. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-launches-fargate-spot-save-up-to-70-for-fault-tolerant-applications/
- Amazon EC2 Nitro System Based Instances Now Support 36% Faster Amazon EBS-Optimized Instance Performance - The AWS Nitro System is the underlying platform for the latest generation of EC2 instances that enables AWS to innovate faster, further reduce cost for our customers, and deliver added benefits like increased security and new instance types. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-ec2-nitro-system-based-instances-now-support-36-faster-amazon-ebs-optimized-instance-performance/
- Run Serverless Kubernetes Pods Using Amazon EKS and AWS Fargate - You can now use Amazon Elastic Kubernetes Service (EKS) to run Kubernetes pods on AWS Fargate, the serverless compute engine built for containers on AWS. This makes it easier than ever to build and run your Kubernetes applications in the AWS cloud. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/run-serverless-kubernetes-pods-using-amazon-eks-and-aws-fargate/
- AWS Lambda announces Provisioned Concurrency - a feature that provides customers greater control over performance of their serverless applications at any scale. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-lambda-announces-provisioned-concurrency/
- Amazon ECS, Amazon EKS, and AWS App Mesh now support AWS Outposts - AWS Outposts, a fully managed service that extends AWS infrastructure, and tools to virtually any datacenter, co-location space, or on-premises facility for a consistent hybrid experience. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-ecs-amazon-eks-aws-app-mesh-now-support-aws-outposts/
- Introducing AWS Compute Optimizer - a new machine learning-based recommendation service that makes it easy for you to ensure that you are using optimal AWS Compute resources. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-aws-compute-optimizer/
- Amazon EC2 Inf1 Instances - high performance and the lowest cost machine learning inference in the cloud. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-ec2-inf1-instances-high-performance-and-the-lowest-cost-machine-learning-inference-in-the-cloud/
Machine Learning Announcements:
- Introducing Contact Lens for Amazon Connect (In Preview) - Contact Lens for Amazon Connect is a set of integrated ML analytics capabilities for Amazon Connect that gives contact centers the ability to understand the sentiment, trends, and compliance of customer conversations to improve customer experience and identify crucial customer feedback. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-contact-lens-for-amazon-connect-preview/
- Amazon Detective (In Preview) - a new service in Preview that makes it easy to analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-detective/
- Amazon SageMaker Model Monitor - a new capability of Amazon SageMaker that continuously monitors machine learning (ML) models in production, detects deviations such as data drift that can degrade model performance over time, and alerts you to take remedial actions. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-model-monitor/
- Amazon SageMaker Notebook (In Preview) - Amazon SageMaker has launched the public preview of a new notebook experience that allows developers to spin up machine learning notebooks in seconds, and enables sharing of notebooks with just a single click. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-the-new-amazon-sagemaker-notebook-experience-now-in-preview/
- Amazon Fraud Detector (In Preview) - a fully managed service that makes it easy to identify potentially fraudulent online activities such as online payment fraud and the creation of fake accounts. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-fraud-detector-now-in-preview/
- Amazon SageMaker Debugger - a new capability of Amazon SageMaker that provides complete insights into the training process of machine learning (ML) models by automating the capture and analysis of data from training runs at real time, with no code changes. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-debugger-get-complete-insights-into-the-training-process-of-machine-learning-models/
- Amazon CodeGuru - new machine learning service for development teams who want to automate code reviews, identify the most expensive lines of code in their applications, and receive intelligent recommendations on how to fix or improve their code. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-announces-amazon-codeguru-for-automated-code-reviews-and-application-performance-recommendations/
- Amazon SageMaker Autopilot - With this feature, Amazon SageMaker can use your tabular data and the target column you specify to automatically train and tune your model, while providing full visibility into the process. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-autopilot/
- Amazon SageMaker Adds Processing - a Managed Solution to Run Data Processing and Model Evaluation Workloads Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-sagemaker-adds-processing-managed-solution-data-processing-model-evaluation-workloads/
- Amazon SageMaker Studio - an integrated development environment (IDE) for machine learning (ML) that lets you easily build, train, debug, deploy and monitor your machine learning models. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-studio-the-first-integrated-development-environment-ide-for-machine-learning/
- Amazon Kendra - a new highly accurate and easy to use enterprise search service powered by machine learning. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-amazon-kendra-reinventing-enterprise-search-with-machine-learning/
Updates will be continued in next blog post.
AWS re:Invent 2019 - Day 3 (DEC, 3) experience by Piyush Jalan.
Stay tuned for more AWS re:Invent 2019 updates !!