Amazon AWS

Rozo Systems Releases High-Performance File System on AWS

Rozo Systems, a provider of software-defined scale-out NAS solutions, announced today the availability of its RozoFS file system on Amazon Web Services (AWS). This new offering enables RozoFS users to maximize performance, scale to meet future demands and adapt cost-effectively to virtually any workload by leveraging data storage across on-premises data centers and the public cloud.

Modern enterprises generate data sets approaching billions of files and petabyte scale that need to be accessed globally across locations and time zones. With the introduction of RozoFS on AWS, these enterprises can now leverage the cloud for instantaneous elastic storage resources, operational efficiency and access to advanced technologies offered by the public cloud. The solution offered by Rozo Systems addresses the need for data-intensive industries, such as media and entertainment and artificial intelligence, that require a solution that spans infrastructures across on-premises and the public cloud.
 

HyperGrid Announces HyperCloud for VMware Cloud on AWS

HyperGrid, the market leader in Hybrid Cloud Management, today announced HyperCloud is available to customers of VMware Cloud on AWS. VMware Cloud on AWS brings together VMware's enterprise-class Software-Defined Data Center (SDDC) software and elastic, bare-metal infrastructure from Amazon Web Services (AWS) to give organizations consistent operating model and application mobility for private and public cloud. HyperCloud enables customers of VMware Cloud on AWS to execute robust cloud migration projects; continuously optimize cloud consumption; automate security and compliance; and scale cloud operations to support business needs. 

HyperCloud combines the power of machine learning and analytics for vastly superior cloud management capabilities. HyperCloud is different than other solutions on the market because the platform takes a proactive approach to cloud planning, cost management, governance, security and compliance for complete transparency into cloud operations without the guesswork. The platform eliminates the manual, complex and error-prone processes that can impede or derail cloud adoption and operational scaling with simple setup and workflows that require just a few clicks to get actionable insights. 
 

Computer Design & Integration LLC (CDI LLC) Launches Kickstart Program for VMware Cloud on AWS

Computer Design & Integration LLC (CDI LLC), one of eight national partners pre-selected to enroll in the VMware Cloud on AWS Early Adopter Program, announced today the launch of its Kickstart Program for VMware Cloud on AWS (VMC on AWS), a one-week engagement during which CDI will guide customers through the process of moving to the AWS cloud. This program will analyze an enterprise's current VMware environment and provide expert consulting on how to deploy, move and maintain cloud migration.

Activities include:
 

Upbound Makes Multicloud a Reality with Crossplane, An Open Source Multicloud Control Plane

Upbound, the company who brought forward Rook, announced Crossplane, an open source multicloud control plane. Crossplane introduces workload and resource abstractions on-top of existing managed services to enable a high degree of workload portability across cloud providers. A single crossplane enables the provisioning and full-lifecycle management of services and infrastructure across a wide range of providers, offerings, vendors, regions, and clusters. The open source project is a community driven effort to provide the best of all clouds to organizations.

"By running workloads across cloud providers, organizations are able to improve availability, geographic presence, reach, as well as optimize cost and take advantage of differentiated services," said Bassam Tabbara, CEO of Upbound. "A critical component of a multicloud strategy is a control plane that is able to schedule and orchestrate portable workloads across cloud providers, regions, clusters and on-premises while still using best-of-breed managed services."

Crossplane supports AWS, Microsoft Azure, and Google Cloud with more cloud providers and on-premises options coming soon. Based on the familiar Kubernetes API, Crossplane was built with the cloud native world in mind. Crossplane applies many of the lessons learned in container orchestration to multicloud workload and resource orchestration.

CloudJumper Announces Cloud Workspace Management Suite for VMware Cloud on AWS

CloudJumper, a leading provider of Virtual Desktop Infrastructure (VDI), Workspace as a Service (WaaS) and Desktop as a Service (DaaS) solutions, today announced that its Cloud Workspace Management Suite (CWMS) software is now available to customers of VMware Cloud on AWS. VMware Cloud on AWS brings together VMware's enterprise-class Software-Defined Data Center (SDDC) software and elastic, bare-metal infrastructure from Amazon Web Services (AWS) to give organizations consistent operating model and application mobility for private and public clouds.

CloudJumper CWMS software is a complete cloud-based platform for Desktop as a Service (DaaS), Workspace as a Service (WaaS), and Virtual Desktop Infrastructure (VDI) delivery, providing ease of management and access to the productivity tools needed to run businesses in the cloud. CWMS delivers an integrated online experience that unifies business applications and corporate file systems using a full-featured Microsoft Windows desktop from anywhere, across any device. IT administrators retain complete control, security and auditability of their IT infrastructure for compliance through an intuitive browser-based management system that reduces support costs, increases service quality and improves responsiveness.

 

Armor Integrates with Amazon Web Services Security Hub at Launch

Armor, a leading cloud security solutions provider, announced today that it continues to expand its work with cloud-native solutions with the recent integration of Amazon Web Services (AWS) Security Hub with its Armor Anywhere service.

This move allows Armor to deliver deeper security insights and context to AWS customers by feeding vulnerability scan and malware detection information into the AWS Security Hub data repository. AWS Security Hub provides users with a comprehensive view of their high-priority security alerts and compliance status by aggregating, organizing, and prioritizing alerts, or findings, from multiple AWS services, such as Amazon GuardDuty, Amazon Inspector, and Amazon Macie as well as from AWS Partner Network (APN) security solutions. The findings are then visually summarized on integrated dashboards with actionable graphs and tables.

As a result of the integration, users of the Armor Anywhere service will now be able to receive alerts for high-priority vulnerability and malware information via the AWS Security Hub user interface. In addition, Armor's threat prevention and response platform can analyze findings fed into AWS Security Hub by the customer's other security solutions to further bolster their threat detection and overall security defenses.

Serverless Startup Thundra Announces Release of "Thundra Layers" Leveraging AWS Lambda

Thundra, the newly launched observability company for serverless environments, today announced the release of Thundra Layers for AWS Lambda. The company also announced it has achieved Advanced Technology Partner status in the Amazon Web Services (AWS) Partner Network (APN).

A custom runtime implemented on top of the new AWS Runtime API feature, Thundra Layers reduces development and deployment time for software developers adding observability to their applications, even across multiple AWS Lambda functions and accounts.

With Thundra Layers for AWS Lambda-AWS's "serverless" computing service-customers don't need to download, install, and manually set up Thundra to achieve full serverless observability of AWS Lambda. Instead, they can simply select the Thundra Layer option within AWS Lambda, set a few configuration options, and immediately start monitoring their serverless applications. Customers can try Thundra free at console.thundra.io/sign-up.

Figure Eight Machine Learning Models Now Available on Amazon Web Services Marketplace for Machine Learning

Figure Eight, the essential Human-in-the-Loop Machine Learning (ML) platform, today announced that its production-quality ML algorithms and models will be available on Amazon Web Services (AWS) Marketplace for Machine Learning, which allows developers and data scientists to find and procure ML algorithms and models and deploy in Amazon SageMaker. The Figure Eight models will be deployed in Amazon SageMaker, a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy ML models at any scale.

"We are excited to welcome Figure Eight as one of our launch ISVs for the new AWS Marketplace for Machine Learning," said Dave McCann, Vice President, AWS Marketplace Service Catalog and Migration Services, Amazon Web Services, Inc. "With the introduction of the AWS Marketplace for Machine Learning we are enhancing our customers' ability to increase efficiency and productivity of their businesses with machine learning models, and making it easier for people to find models and algorithms right inside the Amazon SageMaker Console."

Trifacta Launches Serverless Data Preparation Service on Amazon Web Services

Trifacta, Inc., the global leader in data preparation, today announced the addition of a serverless data preparation service on Amazon Web Services, Inc. (AWS). Based on Amazon Elastic MapReduce (Amazon EMR), the fully managed service allows organizations to quickly deploy Trifacta while eliminating the need for customers to manage their own AWS infrastructure. The serverless architecture was designed to allow customers to dynamically scale computing capacity to match the shifting requirements of different workloads, which, in turn, can increase efficiency and lower operational costs.

Trifacta's customer portfolio is growing rapidly, with over 4X growth in the number of customers deploying Trifacta on AWS in the last year, such as Deutsche Börse and Munich Re. Trifacta has been working with AWS since 2013. Trifacta products Wrangler Pro and Wrangler Enterprise are available on AWS Marketplace and AWS GovCloud (US) to support government agencies, in addition to Trifacta managed deployments on AWS. The addition of a serverless data preparation service on AWS allows Trifacta to best meet enterprises' evolving data needs in the cloud.

Amazon Web Services Announces 13 New Machine Learning Services and Capabilities

Amazon Web Services, Inc. (AWS) announced 13 new machine learning capabilities and services, across all layers in the machine learning stack, to help put machine learning in the hands of even more developers. AWS introduced new Amazon SageMaker features making it easier for developers to build, train, and deploy machine learning models - including low cost, automatic data labeling and reinforcement learning (RL). AWS revealed new services, framework enhancements, and a custom chip to speed up machine learning training and inference, while reducing cost. AWS announced new artificial intelligence (AI) services that can extract text from virtually any document, read medical information, and provide customized personalization, recommendations, and forecasts using the same technology used by Amazon.com. And, last but certainly not least, AWS will help developers get rolling with machine learning with AWS DeepRacer, a new 1/18th scale autonomous model race car for developers, driven by reinforcement learning.

These announcements continue the drum beat of machine learning innovation from AWS, which has launched more than 200 significant machine learning capabilities in the past 12 months. Customers using these new services and capabilities include Adobe, BMW, Cathay Pacific, Dow Jones, Expedia, Formula 1, GE Healthcare, HERE, Intuit, Johnson & Johnson, Kia Motors, Lionbridge, Major League Baseball, NASA JPL, Politico.eu, Ryanair, Shell, Tinder, United Nations, Vonage, the World Bank, and Zillow. To learn more about AWS's new machine learning services, visit: https://aws.amazon.com/machine-learning.

"We want to help all of our customers embrace machine learning, no matter their size, budget, experience, or skill level," said Swami Sivasubramanian, Vice President, Amazon Machine Learning. "Today's announcements remove significant barriers to the successful adoption of machine learning, by reducing the cost of machine learning training and inference, introducing new SageMaker capabilities that make it easier for developers to build, train, and deploy machine learning models in the cloud and at the edge, and delivering new AI services based on our years of experience at Amazon."