While the importance of the cloud is obvious to anyone, the increasing importance of the edge is often overlooked. As digitization and the Internet of Things are leading to an exponential growth in the number of devices, the amount of data that is being generated by sensors in devices such as self-driving-cars, mobile endpoints and people tracking systems for retail is astronomical. Analyzing and turning that data into immediate actions is key to success in the era of digitization. The cloud enables massive data storage and processing, but it does not always lend itself to real time processing and immediate actions. Latency and the sheer amount of data to be transmitted are much less of a factor for the edge compared to the data center.
As the amount of data that needs to be processed continues to increase, more and more IT teams are turning to cloud computing to help manage their large workloads. Workload Automation plays a vital role in managing virtual and cloud resources and can mean the difference between successful, cost-efficient cloud computing, and hidden-cost ridden operations. A Workload Automation solution that offers automated provisioning and deprovisioning of virtual and cloud-based resources, based on both historical and predictive analytics, can introduce a form of machine learning into your cloud environment and help you optimize your resource usage. The EMA Radar Report commends ActiveBatch Workload Automation on its standout cloud features, such as Smart Queue and Managed Queue, and its prebuilt integrations with VMware, Amazon EC2, Microsoft Azure, and System Center Virtual Machine Manger. The report states that these features and capabilities "make ActiveBatch a strong choice for anyone relying on hybrid or multi-cloud to optimize resource usage."
VMware said Wednesday that VMware Cloud on AWS is now available in the AWS London Region. The announcement marks the first global expansion of the hybrid cloud service since it was made available less than a year ago. VMware Cloud on AWS, which was previously available only in the AWS US West and East regions, runs VMware's enterprise class software-defined data center (SDDC) on the AWS cloud, allowing customers to run any application across public, private or hybrid cloud environments. The service is optimized to run on dedicated, bare metal AWS infrastructure. Wednesday's announcement also includes updates to VMware's cloud portfolio and partner network, along with the launch of a new cloud service that offers centralized log management.
In my first blog in this series, I stated my case that adoption of Internet of Things (IoT) platforms will be the number-one technology trend of 2018. However, there are other important developments going on that are very close behind. Containers enable movement to the next level of virtualization. Container-based virtualization is the latest virtualization technology that will gain wider acceptance in 2018. Considered a new generation of virtual machines (VMs), which abstracted an entire device including the operating system (OS), containers consist only of the application and all the dependencies that the application needs.
If you're not a graph afficionado, the name Marko A. Rodriguez probably does not mean much to you. Rodriguez however has been working on the intersection of research, engineering and entrepreneurship in the graph space his entire career. The fact that graph is now in the limelight is at least to some extent related to his efforts.
Shivam Sharma works as a Subject Matter Expert at CloudThat Technologies and has been involved in various large and complex projects with global clients. He has experience in Machine Learning and Microsoft Infrastructure technology stack including Azure Stack, Office 365, EMS, Lync, Exchange, System Center, Windows Servers, designing Active Directory and managing various domain services, including Hyper-V virtualization. Having core training and consulting experience, he is passionate about technology and is involved in delivering training to corporate and individuals on cutting edge technologies. Arzan has 7 years of experience in Microsoft Infrastructure technology stack including setting up Windows servers, designing Active Directory and managing various domain services, including Hyper-V virtualization. As a Cloud Solutions Architect at CloudThat, he is responsible for deploying, supporting and managing client infrastructures on Azure.
We live in the era of mass surveillance. Most of what we do is carefully tracked: the websites we visit, the way we spend our money and, in some places, the way we drive. Certain cities and states across the nation already collect information about driver behavior using sensors and cameras embedded in their infrastructure; that data is later shared with city planners or the Department of Transportation to help them understand what kinds of changes need to be made--a new street light here, a stop sign there, a new road over there. But who else is that data useful for? According to Nino Tarantino, CEO of the data analytics agency Octo Telematics, it could be instrumental to insurance companies as they determine rates and process accident claims--i.e., figure out how much money they'll spend on their customers.
One of the neat things about cloud, as a user, is that you don't have to worry about how many servers you need. You know -- the guy or gal who must buy the servers that make up the cloud? AWS CEO Andy Jassy told attendees at the Pacific Science Center's 14th Annual Foundations of Science Breakfast that Amazon has been using machine learning to anticipate demand for its servers. "One of the least understood aspects of AWS is that it's a giant logistics challenge, it's a really hard business to operate," he said. This is true of any cloud operation.
The analytics engine offers a turn-key, closed-loop, autonomous system that continuously monitors users, devices, applications, networks to detect anomalous or malicious behavior and offers precise actions to mitigate and prevent them, delivering the most secure workspace in the industry. Enterprises are rapidly adopting a variety of new paradigms -- mobile devices, bring your own device (BYOD), SaaS applications, and public clouds -- that boost employee productivity while offering more choice & flexibility. This, however, has adverse consequences on Security. The most notable one is that the traditional well-defined security perimeter around the data center is no longer valid and this renders traditional solutions aimed at defending that perimeter insufficient. Also, the attacks and the attack vectors are becoming highly sophisticated and the traditional threat detection techniques based on signatures and known patterns have limited effect.
Opinions expressed by Forbes Contributors are their own. The author is a Forbes contributor. The opinions expressed are those of the writer. The way that people work is evolving rapidly, disrupting industries, and reinventing organizations. Companies around the world are transforming the ways in which their workforces operate by leaning into a digital workspace model--taking a fresh approach to security while driving more meaningful workflows, simpler access, and increased productivity.