AWS Announces Amazon Quantum Ledger Database (QLDB) & Amazon Managed Blockchain


At the AWS re:Invent conference in Las Vegas, Amazon introduced AWS Outposts, its boldest effort yet to take on legacy hardware vendors like Cisco, Dell and Hewlett Packard Enterprise by bringing AWS-branded boxes to traditional data centers.

Once customers receive satellite data at a ground station, they can immediately process it in an Amazon Elastic Compute Cloud (Amazon EC2) instance, store it in Amazon Simple Storage Service (S3), apply AWS analytics and machine learning services to gain insights, and use Amazon's network to move the data to other regions and processing facilities.

The user can then create and configure peer nodes that keep a record of the distributed ledger and be able to deploy decentralized applications (dApps).

With NeoPulse, organizations can build sophisticated and accurate AI models with as little as 14 lines of code. Amazon SageMaker RL adds pre-packaged reinforcement learning toolkits to SageMaker so developers can more easily build, train, and deploy reinforcement learning algorithms. Racers can also compete in virtual events and tournaments throughout the year by entering time trials on special tracks in the AWS DeepRacer simulator, available in the AWS Management Console. These new services are just a few of the 200 new ML services Amazon has launched in the last 12 months.

Amazon Forecast is a service that generates forecasts from time series data.

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.

While No. 2 Microsoft and No. 3 Google are growing well above the market growth rate, Amazon still commands a much greater market share - 34% by Synergy Research Group's estimates.

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Dive deep into the new service here.

"However, not many businesses and developers know yet how to fully utilise ML models". AWS will also make Neo available as an open source project.

"With QLDB, the change history of your data is immutable meaning it can not be deleted or altered- and by making use of cryptography, you will be able to easily verify the fact that there have not been any unintended changes to the data of your application".

None of this is to suggest that AWS is slowing down its efforts to provide an increasing number of tools and services to its public cloud customers. A new process called AutoML, which automates complicated ML tasks, "performs and accelerates the hard work required to design, train, and deploy a machine learning model", the company says.

"Outposts will allow you to have AWS hardware and services on-premises", said AWS chief exec Andy Jassy. You pay only for what you use and there are no minimum fees or upfront commitments.

Missing the mark with a forecast can have a significant impact, such as being unable to meet customer demand or significantly over-spending.

AWS Control Tower, AWS Security Hub, and AWS Lake Formation extend this approach to a wider array of workloads and scenarios, giving customers abstracted services to help with provisioning and governance, monitoring security and compliance, and building and managing data lakes.