AWS enters blockchain market with 2 dedicated services

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Amazon is reportedly coming up with a blockchain service to enable clients to create digital ledger networks without spending a penny of creating their own platform.

For some companies, there are regulatory concerns or privacy issues that limit their ability to use public cloud, while other businesses just aren't ready to abandon their own equipment and facilities.

Despite denying any plans of entering the blockchain industry with AWS past year, Amazon has recently unveiled its Amazon Quantum Ledger Database service, which is a fully managed ledger with its own central trusted authority.

AWS has also boosted its machine learning services.

Yet another popular open-source project is now available as a managed service from Amazon Web Services with the addition of Amazon Managed Streaming for Kafka, announced Thursday at re:Invent 2018. "So, today we're offering an immutable, transparent, and cryptographically verifiable ledger, based on the same one that AWS teams have been using for years at scale, as a fully managed service".

AWS is hoping developers interested in the field of machine learning and autonomous vehicles will begin experimenting with the DeepRacer, and in particular start using the device to train their own software to react more intuitive to the designated track that comes with the small auto. The cloud environment is built on Amazon SageMaker, a service that was launched past year and created to make it cheaper for everyday developers to build, train and deploy machine learning "into a production-ready hosted environment". The blockchain service dubbed Amazon Managed Blockchain will be a completely managed service that makes it convenient to develop and control scalable blockchain networks.

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Customers will have two options to manage this "on-premises cloud" infrastructure - either VMware Cloud on AWS, or AWS native instances. This delivers VMware's entire software-defined data center-which includes compute, storage and networking infrastructure-to run on-premises and be managed as a service from the same console as VMware Cloud on AWS by using AWS Outposts. It leverages the same software stack, control plane, API's, and managed service as VMware Cloud on AWS and will be sold, provisioned, operated, and supported by VMware or one of its partners.

And AWS announced a new product for building personalization features and recommendation systems for applications, a tool for training systems that use a trendy type of artificial intelligence called reinforcement learning and debuted a marketplace of AI algorithms. "So, we tried to reimagine what customers really wanted when running in hybrid mode, and developed AWS Outposts".

"AWS's new services abstract away additional complexity, speeding and simplifying the process of deploying and managing cloud workloads, so customers can build faster, operate more securely, and maintain consistent governance in a way that gives them more time to innovate".

VMware said that hybrid cloud service lets customers migrate VMware-based workloads to the cloud.

More can be learned about Amazon's new offering on the QLDB website.

"On-prem is more resilient than any cloud provider may have thought and AWS is the last to admit it", says Holger Mueller, prinicipal analyst at Constellation Research Inc.

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