Trend Micro Incorporated, a global leader in cybersecurity solutions, has announced a new partnership with Moxa Inc., a leader in industrial communication and networking, as part of its Technology Alliance Partner Program to jointly develop state-of-the-art solutions to protect Industrial Internet of Things (IIoT) environments like smart manufacturing and smart energy.

IIoT projects offer organizations across a range of sectors the opportunity to become more agile, efficient and cost effective. In manufacturing, oil and gas, and transportation, adoption of solutions is estimated to have reached 86 percent. Surging interest in IIoT is also driving a rapidly growing smart city market predicted to be worth over $2.5 trillion by 2025.

However, IIoT cyber risk continues to grow and threaten the success of IIoT applications. Insecure devices and networks can be exploited to sabotage industrial equipment, leveraged to cause damaging ransomware outages, or used to reach sensitive stores of corporate data elsewhere on enterprise networks. Many organizations struggle with securing their IIoT devices because these devices are at the crossroads of IT and OT organizations. The responsibility for their security is often unclear.

Amazon Web Services, Inc. (AWS) today announced that HubSpot has selected AWS as its preferred public cloud provider. HubSpot’s core products, including HubSpot CRM, Marketing Hub, Sales Hub, and Service Hub, run on AWS, and HubSpot will expand its use of AWS to build new applications in the cloud. AWS enables HubSpot to scale its business quickly, powering its global expansion and companywide innovation. In turn, HubSpot is able to focus more of its resources on developing new cloud-based products and services on AWS for its over 48,000 customers in more than 100 countries.

AWS’s expansive infrastructure, operational expertise, scalability, and industry-leading services gives HubSpot the right set of tools to strengthen its software, services, and support capabilities. HubSpot built a highly automated microservices architecture on AWS to support applications of all sizes, scale, and complexity, gain greater agility, and establish a DevOps practice in the cloud. They’ve also constructed a data lake using Amazon Simple Storage Service (Amazon S3) and Amazon Athena to ingest and analyze operational data so that HubSpot can diminish internal waste and cut operational costs. In addition, through utilizing Amazon machine learning technology such as Amazon Lex, HubSpot added natural language processing capabilities to GrowthBot, its chatbot that helps marketing and salespeople quickly and easily get help creating content, researching competitors, and monitoring analytics.

Building a Hyper-V failover plan is a critical step for any organization wishing to maintain 24/7/365 availability of their Microsoft Cloud. However, configuring Hyper-V failover clusters and managing Hyper-V hosts has its own set of unique challenges, nuances and steps. This article provides an introduction to Hyper-V failover challenges, discusses its benefits and shares some resources where virtualization administrators can access more information.

A Brief Introduction to the History of Hyper-V Failover Clusters

A Hyper-V failover cluster is a group of Hyper-V hosts that can synchronize in a way so that one host can take the load (virtual machines, services, processes, etc) if another fails or suffers performance issues. Windows Server Administrators who wish to fortify their server workloads have a helpful option – Hyper-V failover clustering – right inside Windows Server 2012 R2, Windows Server 2012, Windows Server 2016, and 5nine Manager.

This can be a great advantage or a challenge, depending on how you approach making data-driven decisions. The key to turning a wealth of data into a competitive advantage is good data management. In this article, we are going to go over the five tips on how you can make your business more data-driven.

Understand the Boundaries

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Personalized Gene Editing

One of the biggest advancements in recent years is CRISPR, a method of editing genes that has made editing individual genes much easier and cheaper than in the past. It can be used to fight world hunger by making plants produce more fruit or become more resistant to anything from weather, insects, or blight, and even edit a person’s genes. It’s not quite at the stage where it’s ready for humans, but it’s close. 

Now, combine an easy way to edit genes with big data. First, the patient’s gene sequence is uploaded to the cloud. This lets a computer comb through and identify what could be changed with CRISPR, to either reduce the chance for disease or eliminate it entirely could be in our near future. It seems like something out of a sci-fi movie, but it could very soon be a reality. Using big data to essentially crowdsource the solution to medical problems is not new, however.

ScienceLogic announced that ScienceLogic SL1 is available to customers of VMware Cloud on AWS. Powered by algorithmic IT operations (AIOps), SL1 delivers real-time context to operational data for customers of VMware Cloud on AWS.

VMware Cloud on AWS delivers a seamlessly integrated hybrid cloud that extends on-premises vSphere environments to a VMware SDDC running on Amazon EC2 elastic, bare-metal infrastructure that is fully integrated as part of the AWS Cloud.

SL1 enables VMware Cloud on AWS customers to understand how mission-critical applications connect to their underlying IT infrastructure through consistent, controlled visibility and management. Multi-dimensional topology maps, known as PowerMap, enable real-time views into infrastructure, application, and service health so IT can proactively and responsively inform, analyze, and act. This context is driven by PowerSync, which allows businesses to combine data across multiple silos and generate insights that drive automated actions, regardless of whether a service runs on-premises or in the cloud. The result offers enterprises the opportunity to stay ahead of market competition by applying machine-speed to ongoing business growth.