Amazon Web Service (AWS) Release Managed Blockchain Services

Judy Cobb
December 3, 2018

He said that is why AWS has been spending so much time and investment, and has made so many releases in the ML and AI space in the last few years.

The first group are the tinkerers who want to use the full range of AWS services, pick out various building blocks, and hammer them together to create a specific architecture.

"We know there is real thrust and hunger from builders to be able to do it more easily, and this is what we want to enable them to do", said Jassy. VMware Cloud on AWS Outposts will be a fully-managed VMware SDDC as a service powered by VMware Cloud Foundation that includes a comprehensive set of software-defined services for compute, storage, networking, security, and cloud management running on AWS Outposts in customers' data centers or co-location facilities. AWS on its website commented on its managed blockchain service informing on how it will operate.

Amazon QLDB is a transparent and cryptographically verifiable ledger for applications that need a central, trusted authority to provide a permanent and complete record of transactions - like supply chain, financial, manufacturing, insurance, and human resources.

VMware software powers the world's complex digital infrastructure.

Today, AWS is launching two new blockchain services.

Enterprises migrating to AWS often need to manage a large number of accounts, distributed teams, and applications. "There is a lot of machine learning being done on the cloud, and most of it is happening on AWS".

And they want all of this without sacrificing the speed and agility of AWS.

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In 2017, AWS collaborated with VMware to introduce VMware Cloud on AWS.

The blockchain service and the new Quantum Ledger Database (QLDB) were unveiled at its AWS re:Invent annual user conference.

"What they have asked us for is a way to provide AWS services, like compute, like storage, on-premises but in a way that really seamlessly and constantly interacts with the rest of my applications and services in AWS".

For those unfamiliar with reinforcement learning, it's a subset of machine learning, which is a field that AWS has been investing in heavily over the past year, along with announcing several new services aimed specifically at this segment of the industry.

The company is also releasing a minimum viable cloud framework for AWS to help clients establish foundational infrastructure. Either way, users get a uniform experience bridging the public and private cloud, the vendors say. As AWS is famously customer-centric, we'll take him at his word. It is the latest example of the giant provider of the cloud services building next-gen processors.

AWS Lake Formation removes much of this heavy lifting, allowing customers to build a data lake in a matter of days. To learn more about AWS, visit

Also launched was SageMaker RL, a fully managed service for reinforcement learning algorithms and simulators. For this, customers use blockchain frameworks like Ethereum and Hyperledger Fabric. Splunk® Enterprise and Splunk Phantom integrations with the AWS Security Hub are created to help customers further accelerate detection, investigation and response to potential threats within their AWS security environment. Once trained on a subset of the data, it may be used to apply labels automatically.

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