"Amazon Web Services is a critical component of modern application design and cloud consumption", explains Eric Fouarge, Chief Technology Officer at RLT. It simplifies creating and managing scalable blockchain networks using the popular, open source Ethereum and Hyperledger Fabric frameworks.
"Blockchain makes it possible to build applications where multiple parties can execute transactions without the need for a trusted, central authority", Amazon Web Services said.
VMware software powers the world's complex digital infrastructure. 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".
Enterprises migrating to AWS often need to manage a large number of accounts, distributed teams, and applications.
For starters AWS says Outposts will involve "racks", indicating they won't be fit for businesses with modest server rooms or for many branch offices. "It makes sense as AWS needs VMware to make on-premises a reality for them".
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With Outposts, customers can now put AWS into their own datacenters using the AWS hardware. Carrying out Managed Blockchain requires the use of the AWS Console and configuring nodes.
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Shawn Bice, Vice President, Nonrelational Databases at AWS said, "Earlier this year, when we started talking to customers about what they needed from a blockchain solution, we realised that the Amazon QLDB's ledger technology met a lot of their requirements".
'We had to remind people that we were actually trying to build this and launch this for customers. McAfee worked closely with AWS to ensure compliance with Amazon GaurdDuty findings standards to easily integrate information into AWS. "Every imaginable enterprise vertical on Earth is using AWS", Jassy added. "It is a great place for developers and customers", informed Jassy.
Outposts will be sold on an opex basis, so they'll also match the procurement experience of the full AWS cloud.
The announcement comes soon after the launch of AWS Transit Gateways, which will provide a single way to manage the network resources, both in cloud and on-premises. The new offerings include AI services for developers, models and algorithms for Amazon SageMaker, automatic data labeling and reinforcement learning services, and AWS-optimized versions of TensorFlow and other familiar machine learning libraries. 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. Outposts let AWS scale while making building, electrifying and cooling data centre space its customers' problem. But the new offering won't have broad appeal.
AWS unveiled several Amazon SageMaker features, including low-priced, automatic data labelling and reinforcement learning, and also announced a high-performance ML inference chip, AWS Inferentia, which was custom-designed by AWS and will be available in 2019.