(AWS), an Amazon.com company (NASDAQ:AMZN), announced AWS Outposts, fully managed and configurable compute and storage racks built with AWS-designed hardware, that allow customers to run compute and storage on-premises, while seamlessly connecting to the rest of AWS's broad array of services in the cloud.
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. Still, some customers have certain workloads that will likely need to remain on-premises for several years such as applications that are latency sensitive and need to be in close proximity to on-premises assets.
AWS Control Tower gives customers an automated "landing zone" that makes it easy to set up their multi-account environment and continuously govern their AWS workloads with rules for security, operations, and compliance. 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.
In addition to its new managed ledger database, Amazon also revealed that it had created its own managed blockchain service called AWS Managed Blockchain which also works with QLDB.
Outposts will also be an extension of AWS virtual private clouds (VPCs), which offer control over the internal network of a walled-off segment of AWS resources.
"If you look at the last couple of years, we hardly get through conversations with companies without talking in some significant part about machine learning", AWS CEO Andy Jassy told journalists at a press briefing at the event. "So we started with what our customers were asking for and worked backwards".
The AWS Deep Racer model race car
Some industry watchers say AWS CEO Andy Jassy is overspending on building ML models and services, but for him giving the technology so much time, energy and money is meant to open the doors of companies and developers to the enormous possibilities ahead once they figure out what exactly is to be done with ML.
The new AWS-Optimized TensorFlow offering, now generally available, allows TensorFlow jobs to be automatically scaled and balanced across multiple GPU-powered EC2 nodes.
The new service is under a public preview and the actual release is expected to be announced in the second half of the upcoming year. Amazon Personalize is a real-time personalization and recommendation service.
SageMaker "Ground Truth" capability produces high-quality labelled training data; SageMaker RL delivers Cloud's first managed service for reinforcement learning algorithms and simulators; and a new ML Marketplace offers more than 150 new models and algorithms to developers via SageMaker.
The automated landing zone employs best-practices blueprints, such as configuring a multi-account structure using AWS Organisations, managing user identities and federated access with AWS Single Sign-on or Microsoft Active Directory, configuring an account factory through AWS Service Catalogue, centralising a log archive using AWS CloudTrail and AWS Config, and more.
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.
VMware is majority owned by Dell and a subsidiary of Dell Technologies.