Complete Internet of Things (IoT) embedded device security is not just about the device but involves the entire product’s identity, data and control integrity, and services traversing the cloud. A device can no longer be looked at as an island; it is a part of a system. In fact, given the cross-domain interactions enabled by IoT it could be a part of many systems. Also, depending on where the device is deployed, for example, in the office building versus a factory floor or oil field, security has to be weaved into processes without affecting operational reliability, uptime, efficiency and safety requirements. This issue is compounded by the magnitude of smart and connected devices that are projected to be disseminated throughout the network in all verticals.
"We are a custom software development, engineering firm. We specialize in cloud applications from helping customers that have on-premise applications migrating to the cloud, to helping customers design brand new apps in the cloud. And we specialize in mobile apps," explained Peter Di Stefano, Vice President of Marketing at Impiger Technologies, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
The time of year when crystal balls get a viewing and many pundits put out their annual predictions for the coming year. Rather than thinking up my own, I figured I’d regurgitate what many others are expecting to happen. 8 Predictions About How the Security Industry Will Fare in 2017 – An eWeek slideshow looking at areas like IoT, ransomware, automated attacks and the security skills shortage in the industry. Chris Preimesberger (@editingwhiz), who does a monthly #eweekchat on twitter, covers many of the worries facing organizations.
In this strange new world where more and more power is drawn from business technology, companies are effectively straddling two paths on the road to innovation and transformation into digital enterprises. The first path is the heritage trail – with “legacy” technology forming the background. Here, extant technologies are transformed by core IT teams to provide more API-driven approaches. Legacy systems can restrict companies that are transitioning into digital enterprises. To truly become a leader in the space, it’s necessary to accommodate, incorporate, and exploit the new breed of enterprise technologies — cloud, Big Data, and APIs.
The holiday season is nearly upon us (I’ve already heard Christmas songs being played…really?) and retailers are usually the big winners during the holiday season. However, leading retailers are already thinking beyond the current holiday season, and not just from marketing and merchandising perspectives. These leading retailers are considering how this holiday season – and the resulting wealth of customer, product and operational data – can be converted into new analytic insights that can be used to optimize key business processes, uncover new monetization opportunities and create a more compelling, more prescriptive user experience all year round.
You are moving to the Cloud. The question is not if, it’s when. Now that your competitors are in the cloud and lapping you, your “when” better hurry up and get here. But saying and doing are two different things. In his session at @DevOpsSummit at 18th Cloud Expo, Robert Reeves, CTO of Datical, explained how DevOps can be your onramp to the cloud. By adopting simple, platform independent DevOps strategies, you can accelerate your move to the cloud. Spoiler Alert: He also makes sure you don’t forget the database in your adoption of DevOps and the cloud.
"We are a custom software development, engineering firm. We specialize in cloud applications from helping customers that have on-premise applications migrating to the cloud, to helping customers design brand new apps in the cloud. And we specialize in mobile apps," explained Peter Di Stefano, Vice President of Marketing at Impiger Technologies, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
The time of year when crystal balls get a viewing and many pundits put out their annual predictions for the coming year. Rather than thinking up my own, I figured I’d regurgitate what many others are expecting to happen. 8 Predictions About How the Security Industry Will Fare in 2017 – An eWeek slideshow looking at areas like IoT, ransomware, automated attacks and the security skills shortage in the industry. Chris Preimesberger (@editingwhiz), who does a monthly #eweekchat on twitter, covers many of the worries facing organizations.
How can a dinosaur adapt to the modern world? Well, if your ‘dinosaur’ happens to be a mainframe environment, then we suggest you take a good long at DevOps. The next generation of application delivery and agile methodologies are illuminating the challenges and solutions mainframe engineers face on a daily basis. As Continuous Delivery and DevOps evolve, so too should your mainframe and its processes.
In this strange new world where more and more power is drawn from business technology, companies are effectively straddling two paths on the road to innovation and transformation into digital enterprises. The first path is the heritage trail – with “legacy” technology forming the background. Here, extant technologies are transformed by core IT teams to provide more API-driven approaches. Legacy systems can restrict companies that are transitioning into digital enterprises. To truly become a leader in the space, it’s necessary to accommodate, incorporate, and exploit the new breed of enterprise technologies — cloud, Big Data, and APIs.
"Qosmos has launched L7Viewer, a network traffic analysis tool, so it analyzes all the traffic between the virtual machine and the data center and the virtual machine and the external world," stated Sebastien Synold, Product Line Manager at Qosmos, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Infrastructure is widely available, but who’s managing inbound/outbound traffic? Data is created, stored, and managed online – who is protecting it and how? In his session at 19th Cloud Expo, Jaeson Yoo, SVP of Business Development at Penta Security Systems Inc., discussed how to keep any and all infrastructure clean, safe, and efficient by monitoring and filtering all malicious HTTP/HTTPS traffic at the OSI Layer 7. Stop attacks and web intruders before they can enter your network.
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehend.
Information self-service is undoubtedly one of the main drivers of Modern Data Management. From “data services marketplaces” to “self-service Big Data analytics,” one of the objectives of most data-related initiatives today is to provide business professionals with new ways to solve their information needs with the goals of achieving self-reliance and minimizing the IT bottleneck. However, is it realistic to expect business users to assume this job? Studies [1] report that more than 60 percent of companies grade their experience with self-service initiatives as “average” or lower, with nearly four out of five (73 percent) claiming that “…it requires more training than expected.” So, what is the problem and what can we do to solve it? Let’s start with the easy part: data visualization, which is the last stage of the data analysis process. Self-service BI tools have been around for some years now, allowing business data analysts to create their own graphical reports. Although those tools are not for every business user, business analysts with data experience, basic knowledge of statistics and a bit of SQL, can use them successfully.
Okay, let me get this out there: I find the term “Citizen Data Scientist” confusing. Gartner defines a “citizen data scientist as “a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics.” While we teach business users to “think like a data scientist” in their ability to identify those variables and metrics that might be better predictors of performance, I do not expect that the business stakeholders are going to be able to create and generate analytic models. I do not believe, nor do I expect, that the business stakeholders are going to be proficient enough with tools like SAS or R or Python or Mahout or MADlib to 1) create or generate the models, and then 2) be proficient enough to be able to interpret the t-tests, f-scores, p-values and residuals necessary to ascertain the analytic model’s goodness of time.
"ReadyTalk is an audio and web video conferencing provider. We've really come to embrace WebRTC as the platform for our future of technology," explained Dan Cunningham, CTO of ReadyTalk, in this SYS-CON.tv interview at WebRTC Summit at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
"At ROHA we develop an app called Catcha. It was developed after we spent a year meeting with, talking to, interacting with senior citizens watching them use their smartphones and talking to them about how they use their smartphones so we could get to know their smartphone behavior," explained Dave Woods, Chief Innovation Officer at ROHA, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
@DevOpsSummit at Cloud taking place June 6-8, 2017, at Javits Center, New York City, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential.
SYS-CON Events announced today that Dataloop.IO, an innovator in cloud IT-monitoring whose products help organizations save time and money, has been named “Bronze Sponsor” of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Dataloop.IO is an emerging software company on the cutting edge of major IT-infrastructure trends including cloud computing and microservices. The company, founded in the UK but now based in San Francisco, is developing the next generation of cloud monitoring required for microservices and DevOps.
"Qosmos has launched L7Viewer, a network traffic analysis tool, so it analyzes all the traffic between the virtual machine and the data center and the virtual machine and the external world," stated Sebastien Synold, Product Line Manager at Qosmos, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Central to the idea of DevOps is collaboration between all of the teams involved in IT applications and infrastructure. Developers, Operations, Quality Assurance, Security, and more, all have stakes in the delivery of a product or service. So, what does collaboration mean when it comes to monitoring in the world of DevOps? In the past, different teams involved in creating or maintaining an application would first finish their portion completely before passing it on to the next team. For example, the Development team would first write code for the entire app, or specific features in the app, before passing it to the Quality Assurance (QA) team. The QA team would then do their testing and analysis before sending it forward to Operations, and so on.
Today’s IT environments are increasingly heterogeneous, with Linux, Java, Oracle and MySQL considered nearly as common as traditional Windows environments. In many cases, these platforms have been integrated into an organization’s Windows-based IT department by way of an acquisition of a company that leverages one of those platforms. In other cases, the applications may have been part of the IT department for years, but managed by a separate department or singular administrator. Still, whether it's a perception of required specialization, frustration over these platforms’ many version permutations or just general uncertainty and doubt, Linux, Java, Oracle and MySQL create mass monitoring confusion and are routinely considered “hard to reach” for even a seasoned IT professional. This problem goes both ways (when monitoring Windows is actually the unnatural element) but for the most part, IT shops are primarily Windows-based and consistently struggle to monitor these more niche platforms.
Information self-service is undoubtedly one of the main drivers of Modern Data Management. From “data services marketplaces” to “self-service Big Data analytics,” one of the objectives of most data-related initiatives today is to provide business professionals with new ways to solve their information needs with the goals of achieving self-reliance and minimizing the IT bottleneck. However, is it realistic to expect business users to assume this job? Studies [1] report that more than 60 percent of companies grade their experience with self-service initiatives as “average” or lower, with nearly four out of five (73 percent) claiming that “…it requires more training than expected.” So, what is the problem and what can we do to solve it? Let’s start with the easy part: data visualization, which is the last stage of the data analysis process. Self-service BI tools have been around for some years now, allowing business data analysts to create their own graphical reports. Although those tools are not for every business user, business analysts with data experience, basic knowledge of statistics and a bit of SQL, can use them successfully.
Predictions can be enlightening as we round out the end of the year, and industry analysts covering the Industrial Internet of Things (IIoT) have begun forecasting what to expect in 2017. In the ever changing digital business landscape, companies need to keep a pulse on the technology and regulatory environments to have direction on where to focus their efforts. Over the past few years, IIoT has taken on the shared title of industry 4.0, as new ways of connecting businesses and consumers impact systems infrastructures and technology integrations across many, if not all. business lines.
The holiday season is nearly upon us (I’ve already heard Christmas songs being played…really?) and retailers are usually the big winners during the holiday season. However, leading retailers are already thinking beyond the current holiday season, and not just from marketing and merchandising perspectives. These leading retailers are considering how this holiday season – and the resulting wealth of customer, product and operational data – can be converted into new analytic insights that can be used to optimize key business processes, uncover new monetization opportunities and create a more compelling, more prescriptive user experience all year round.