AWS re: Invent 2020, the leading announcements from the Amazon Web Services world

AWS re: Invent 2020, the leading announcements from the Amazon Web Services world
As happens every year, there are many topics of re: Invent 2020, the largest conference in the world Amazon Web Services. This time, thanks to the coronavirus pandemic, the pace of the announcements has been even tighter, so much so that it is really worth making a summary of the news presented. Let's start with Analytics and the new Amazon QuickSight Q answers questions in natural language about business data. Available in preview, Q also integrates an NLQ (Natural Language Query) functionality based on machine learning (ML). With Q, business users can use QuickSight to ask questions about their data, using everyday language and receiving accurate answers in seconds.

The main news

As for the marketplace, Authorizations managed in AWS License Manager now simplify license monitoring and distribution. You can then use Managed Permissions, a new feature in AWS License Manager to quickly automate software deployments and track licenses, all from one central account. AWS Marketplace offers professional services by seeking and purchasing third-party software, but also solutions to support the entire product lifecycle, including planning, distribution and support.

"Amazon EC2 Mac instances allow Apple developers to natively run macOS within AWS, extending the flexibility and scalability of the cloud to all Apple developers. Built on Apple Mac mini computers, Mac EC2 instances allow developers and customers to run macOS workloads in the AWS cloud for the first time. With EC2 Mac instances, developers building apps for iPhone, iPad, Mac, Apple Watch, Apple TV, and Safari can now provision and access macOS environments in minutes, dynamically scale capacity as needed, and take advantage from AWS pay-as-you-go. Customers who already use Mac EC2 instances include Intuit, Ring and FiLMiC »says Alex Casalboni, AWS Developer Advocate.

AWS Outpost, Amazon ECS Anywhere and Amazon EKS Anywhere

"AWS Outposts already provided customers with the ability to run their workloads on-premise and seamlessly connect with the wide range of AWS cloud services in formats ranging from a rack (roughly the size of a refrigerator) to tens of racks, with capacity equivalent to hundreds or thousands of servers. Some customers need to extend the benefit of AWS Outposts to locations that may have space, power or network constraints, or that don't need an entire rack of capacity. ”

Two new AWS Outposts formats smaller ones, available starting next year, will allow customers to bring the same AWS services, infrastructure, and on-site operational models to space-constrained locations such as branch offices, factories, hospitals or retail stores. AWS Outposts will now be available in two new, smaller sizes that require far less power and network connectivity than the complete 42-rack AWS Outposts unit. The AWS Outposts 1U format is suitable for 19 '' wide and 24 '' wide enclosures and provides 64 vCPUs, 128 GB of memory, and 4 TB of local NVMe memory.

The 2U version measures 19 inches in standard width , 36 inches deep and provides up to 128 vCPUs, 512 GiB of memory and 8 TB of local NVMe memory, with configurations that support accelerators such as AWS Inferentia or GPU. Each of these two new formats can allow customers to run AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Services (EKS), and Amazon Virtual Private Cloud (VPC) on-premises. br>

Amazon EC2 P3 instances

Coming soon Amazon EC2 G4ad instances with AMD GPU for graphics workloads will enable customers, such as those developing game streaming, animation and video rendering, to improve performance and reduce costs for graphics-intensive workloads. AWS has also expanded the ARM-based Graviton2 portfolio with C6gn instances providing network bandwidth up to 100Gbps, Amazon Elastic Block Store (EBS) bandwidth up to 38Gbps, up to 40% more compute performance of packages and up to 40% more price / performance than comparable current generation x86-based network optimized instances.

«We launched several generations of EC2 instances with storage, including HS1 in 2012 and D2 in 2015. We now make D3 and D3en instances available. Like their predecessors, these provide access to huge amounts of low-cost HDD on-instance storage, ”explains Danilo Poccia, AWS Chief Evangelist EMEA. Amazon EC2 R5b instances deliver 3X faster EBS performance R5 instances and are designed for memory-intensive applications such as high-performance databases, web-scale distributed in-memory caches, in-memory databases, real-time big data analytics, and other business applications. The next generation R5b instance provides the best network-attached storage performance available on EC2 »explains Amazon Web Services.

Lots of news for the arrival of more local AWS zones, which will be 12 in 2021 . "The debut of the first AWS local zone in Los Angeles dates back to last December and we added a second one (also in Los Angeles) in August 2020. With 3 more available today and 12 planned for next year, we are choosing the cities target with the aim of allowing access with a latency of milliseconds to the vast majority of users ".

Machine learning

Ama zon Lookout for Equipment analyzes historical sensor data to help detect equipment failure. This is because companies that use industrial equipment are constantly working to improve operational efficiency and avoid unplanned downtime due to component failure. Amazon Lookout for Equipment is an API-based machine learning (ML) service that detects abnormal equipment behavior and helps companies monitor the health of their assets.

This is now joined by Lookout for Vision, a new machine learning service that helps increase the quality of industrial products and reduce operating costs by automating the visual inspection of product defects in manufacturing processes. Using Lookout for Vision, you can detect damage to manufactured parts, identify missing components or parts, and uncover problems related to underlying processes in production lines.

AWS Panorama Appliance brings computer vision applications to the edge instead . It will be easier to develop a computer vision model using Amazon SageMaker and then distribute it to a Panorama appliance that can then run the model on video feeds from multiple network and IP cameras. Finally, Amazon Monitron is a simple and cheap service that enables predictive maintenance. Monitron is a simple and cheap condition monitoring service, so as to have a program optimization for predictive maintenance.

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