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AWS Launches & Previews at re:Invent 2019 – Tuesday, December 3rd

Whew, what a day. This post contains a summary of the announcements that we made today.

Launch Blog Posts
Here are detailed blog posts for the launches:

Other Launches
Here’s an overview of some launches that did not get a blog post. I’ve linked to the What’s New or product information pages instead:

EBS-Optimized Bandwidth Increase – Thanks to improvements to the Nitro system, all newly launched C5/C5d/C5n/C5dn, M5/M5d/M5n/M5dn, R5/R5d/R5n/R5dn, and P3dn instances will support 36% higher EBS-optimized instance bandwidth, up to 19 Gbps. In addition newly launched High Memory instances (6, 9, 12 TB) will also support 19 Gbps of EBS-optimized instance bandwidth, a 36% increase from 14Gbps. For details on each size, read more about Amazon EBS-Optimized Instances.

EC2 Capacity Providers – You will have additional control over how your applications use compute capacity within EC2 Auto Scaling Groups and when using AWS Fargate. You get an abstraction layer that lets you make late binding decisions on capacity, including the ability to choose how much Spot capacity that you would like to use. Read the What’s New to learn more.

Previews
Here’s an overview of the previews that we revealed today, along with links that will let you sign up and/or learn more (most of these were in Andy’s keynote):

AWS Wavelength – AWS infrastructure deployments that embed AWS compute and storage services within the telecommunications providers’ datacenters at the edge of the 5G network to provide developers the ability to build applications that serve end-users with single-digit millisecond latencies. You will be able to extend your existing VPC to a Wavelength Zone and then make use of EC2, EBS, ECS, EKS, IAM, CloudFormation, Auto Scaling, and other services. This low-latency access to AWS will enable the next generation of mobile gaming, AR/VR, security, and video processing applications. To learn more, visit the AWS Wavelength page.

Amazon Managed Apache Cassandra Service (MCS) – This is a scalable, highly available, and managed Apache Cassandra-compatible database service. Amazon Managed Cassandra Service is serverless, so you pay for only the resources you use and the service automatically scales tables up and down in response to application traffic. You can build applications that serve thousands of requests per second with virtually unlimited throughput and storage. To learn more, read New – Amazon Managed Apache Cassandra Service (MCS).

Graviton2-Powered EC2 Instances – New Arm-based general purpose, compute-optimized, and memory-optimized EC2 instances powered by the new Graviton2 processor. The instances offer a significant performance benefit over the 5th generation (M5, C5, and R5) instances, and also raise the bar on security. To learn more, read Coming Soon – Graviton2-Powered General Purpose, Compute-Optimized, & Memory-Optimized EC2 Instances.

AWS Nitro EnclavesAWS Nitro Enclaves will let you create isolated compute environments to further protect and securely process highly sensitive data such as personally identifiable information (PII), healthcare, financial, and intellectual property data within your Amazon EC2 instances. Nitro Enclaves uses the same Nitro Hypervisor technology that provides CPU and memory isolation for EC2 instances. To learn more, visit the Nitro Enclaves page. The Nitro Enclaves preview is coming soon and you can sign up now.

Amazon Detective – This service will help you to analyze and visualize security data at scale. You will be able to quickly identify the root causes of potential security issues or suspicious activities. It automatically collects log data from your AWS resources and uses machine learning, statistical analysis, and graph theory to build a linked set of data that will accelerate your security investigation. Amazon Detective can scale to process terabytes of log data and trillions of events. Sign up for the Amazon Detective Preview.

Amazon Fraud Detector – This service makes it easy for you to identify potential fraud that is associated with online activities. It uses machine learning and incorporates 20 years of fraud detection expertise from AWS and Amazon.com, allowing you to catch fraud faster than ever before. You can create a fraud detection model with a few clicks, and detect fraud related to new accounts, guest checkout, abuse of try-before-you-buy, and (coming soon) online payments. To learn more, visit the Amazon Fraud Detector page.

Amazon Kendra – This is a highly accurate and easy to use enterprise search service that is powered by machine learning. It supports natural language queries and will allow users to discover information buried deep within your organization’s vast content stores. Amazon Kendra will include connectors for popular data sources, along with an API to allow data ingestion from other sources. You can access the Kendra Preview from the AWS Management Console.

Contact Lens for Amazon Connect – This is a set of analytics capabilities for Amazon Connect that use machine learning to understand sentiment and trends within customer conversations in your contact center. Once enabled, specified calls are automatically transcribed using state-of-the-art machine learning techniques, fed through a natural language processing engine to extract sentiment, and indexed for searching. Contact center supervisors and analysts can look for trends, compliance risks, or contacts based on specific words and phrases mentioned in the call to effectively train agents, replicate successful interactions, and identify crucial company and product feedback. Sign up for the Contact Lens for Amazon Connect Preview.

Amazon Augmented AI (A2I) – This service will make it easy for you to build workflows that use a human to review low-confidence machine learning predictions. The service includes built-in workflows for common machine learning use cases including content moderation (via Amazon Rekognition) and text extraction (via Amazon Textract), and also allows you to create your own. You can use a pool of reviewers within your own organization, or you can access the workforce of over 500,000 independent contractors who are already performing machine learning tasks through Amazon Mechanical Turk. You can also make use of workforce vendors that are pre-screened by AWS for quality and adherence to security procedures. To learn more, read about Amazon Augmented AI (Amazon A2I), or visit the A2I Console to get started.

Amazon CodeGuru – This ML-powered service provides code reviews and application performance recommendations. It helps to find the most expensive (computationally speaking) lines of code, and gives you specific recommendations on how to fix or improve them. It has been trained on best practices learned from millions of code reviews, along with code from thousands of Amazon projects and the top 10,000 open source projects. It can identify resource leaks, data race conditions between concurrent threads, and wasted CPU cycles. To learn more, visit the Amazon CodeGuru page.

Amazon RDS Proxy – This is a fully managed database proxy that will help you better scale applications, including those built on modern serverless architectures, without worrying about managing connections and connection pools, while also benefiting from faster failover in the event of a database outage. It is highly available and deployed across multiple AZs, and integrates with IAM and AWS Secrets Manager so that you don’t have to embed your database credentials in your code. Amazon RDS Proxy is fully compatible with MySQL protocol and requires no application change. You will be able to create proxy endpoints and start using them in minutes. To learn more, visit the RDS Proxy page.

Jeff;

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Article Source: AWS Launches & Previews at re:Invent 2019 – Tuesday, December 3rd

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