SYS-CON Events announced today that HTBase will exhibit at 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. HTBase (Gartner 2016 Cool Vendor) delivers a Composable IT infrastructure solution architected for agility and increased efficiency. It turns compute, storage, and fabric into fluid pools of resources that are easily composed and re-composed to meet each application’s needs. With HTBase, companies can quickly provision resources and deploy unique, mission-critical, self-designed solutions to add-onto or create any type of infrastructure as per the business requirement. HTBase is the first company to enable a true multi-cloud strategy, enabling organizations to automate movement of data and workloads between private and public clouds. This means that organizations can now move data and workloads between public clouds without any type of data transformation.
You can turn a microwave into a camera and I’ll teach you how in a minute, but before I do, let me share this news item. In a recent interview with a reporter from the Bergen Record, Kellyanne Conway was asked about surveillance. She responded: “There are many ways to surveil each other now, unfortunately. There was an article this week that talked about how you can surveil someone through their phones, certainly through their television sets, any number of different ways. And microwaves that turn into cameras, et cetera. So we know that that is just a fact of modern life.”
Serverless Computing or Functions as a Service (FaaS) is gaining momentum. Amazon is fueling the innovation by expanding Lambda to edge devices and content distribution network. IBM, Microsoft, and Google have their own FaaS offerings in the public cloud. There are over half-a-dozen open source serverless projects that are getting the attention of developers. This year, expect to see new platforms emerging in
Virtualization over the past years has become a key strategy for IT to acquire multi-tenancy, increase utilization, develop elasticity and improve security. And virtual machines (VMs) are quickly becoming a main vehicle for developing and deploying applications. The introduction of containers seems to be bringing another and perhaps overlapped solution for achieving the same above-mentioned benefits. Are a container and a virtual machine fundamentally the same or different? And how? Is one technically superior to the other? What about performance and security? Does IT need either one, or both?
With the introduction of IoT and Smart Living in every aspect of our lives, one question has become relevant: What are the security implications? To answer this, first we have to look and explore the security models of the technologies that IoT is founded upon. In his session at @ThingsExpo, Nevi Kaja, a Research Engineer at Ford Motor Company, will discuss some of the security challenges of the IoT infrastructure and relate how these aspects impact Smart Living. The material will be delivered interactively to engage with the audience and will consist of the following three parts.
In the first article of this three-part series on hybrid cloud security, we discussed the Shared Responsibility Model, and examined how the most common attack strategies persist, are amplified, or are mitigated as assets move from data centers to the cloud. In part two, we talked about the unique security challenges that are introduced by public cloud environments. In this third and final installment, we’ll review why it’s essential to approach hybrid cloud security with different methods, tools and best practices than those used in the data center.
SYS-CON Events announced today that Infranics will exhibit at 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. Since 2000, Infranics has developed SysMaster Suite, which is required for the stable and efficient management of ICT infrastructure. The ICT management solution developed and provided by Infranics continues to add intelligence to the ICT infrastructure through the IMC (Infra Management Cycle) based on mathematical analysis and forecasting Big Data Analyze and Control.
A Continuous Delivery pipeline as part of an Agile transformation is like spices in a meal. Without them, the food is bland and worthless. On the other hand, the right blend of spices will leave you craving more, stimulating your senses and energizing you. But as any good cook will tell you, it can be a bit difficult to find the exact right blend of spices for a specific dish.
Historically, some banking activities such as trading have been relying heavily on analytics and cutting edge algorithmic tools. The coming of age of powerful data analytics solutions combined with the development of intelligent algorithms have created new opportunities for financial institutions. In his session at 20th Cloud Expo, Sebastien Meunier, Head of Digital for North America at Chappuis Halder & Co., will discuss how these tools can be leveraged to develop a lasting competitive advantage in priority areas: customer analytics, financial crime prevention, regulatory compliance and risk management.
If technical debt were like monetary debt, it would be hard to keep track of it unless you checked in manually. The only way many people find out their checking account is running out of funds is by logging in and checking the balance — or, worse, having a check bounce or a debit card declined. But measuring technical debt can be more automatic. That’s because, unlike your bank account, your IT infrastructure can be monitored on an ongoing basis with specialized tools, and you can get notified on critical health metrics. In turn, you can use monitoring data to gain information about technical debt. In other words, you don’t have to do a manual audit to know when something is going awry in your data center. You don’t have to wait for a server to go down before learning about a problem. Incident Management tools provide that information for you. By extension, they also offer a way for you to take stock of your technical debt without having to measure things tediously by hand.
I developed a bot. Last weekend I opened the website https://rundexter.com/bot and developed a bot, which I then integrated with Twilio for messaging. I named it BeccaBot after our daughter. Just to be clear, her name is Becca, not Bot. It was a bot designed purely to freak-out our daughter. It was highly successful. Here are some things I learned. You tell the bot to look for specific words or even phrases and then act upon them in specified ways. You can answer with text, or a website link, or an image, etc. You can ask for a name, and program the bot to remember the name.
Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development at qplum, will discuss the transformational impact of Artificial Intelligence and Deep Learning in making trading a scientific process. This focus on learning a hierarchical set of concepts is truly making investing a scientific process, a utility.
SYS-CON Events announced today that Telecom Reseller has been named “Media 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. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
Enterprise mobility has become table stakes in the world of business. The ability to access current information at any time, from anywhere, on any device has really become a cliché. The familiarity we all have with smartphones and wireless access, actually obscures the true difficulty of developing and executing an effective corporate mobile strategy. This reality is driven by the fact that companies must actually have two mobile strategies.
When a person has clogged arteries it restricts and reduces the flow of oxygen rich blood through their body. Clogged arteries also greatly increase the risk of strokes, heart attacks and even death. In the digital age the equivalent of oxygen rich blood for organizations is the data running through an information logistics system. Healthy and digitally mature organizations have in place an optimized information logistics system (OILS), that enables data to flow unencumbered and efficiently throughout an organization in digital-time. Data must flow in digital-time, a speed which is fast enough to satisfy even impatient digital consumers.
With the complexity of today’s applications, it’s easy to end up in a situation where all of the pieces of your code aren’t ready at the same time. As a developer, you might be waiting for a third-party API to get updated, a partner organization to finish their code, or other teams in your organization to have a component ready to start testing against. This can be a drag on your organization’s entire release schedule, as testing is backed up waiting for all the pieces to be finished.
The United States Patent and Trademark Office (USPTO) recently announced an expansion of PatentsView, its visualization tool for US patents. First launched a few years ago, the intent behind the tool was to make 40 years of patent filing data available for free to those interested in examining “the dynamics of inventor patenting activity over time.” In spite of being limited to patents (not applications) and with a focus only on the US, it offers some interesting visualizations around locations and citations.
Amazon Web Services (AWS) broke the Internet again or better “a typo”. On February 28, 2017, an Amazon S3 service disruption in AWS’ oldest region US-EAST-1 shuts down several major websites and services like Slack, Trello, Quora, Business Insider, Coursera and Time Inc. Other users were reporting that they were also unable to control devices which were connected via the Internet of Things since IFTTT was also down. Those kinds of disruptions are becoming more and more business critical for today’s digital economy. To prevent these situations, cloud users should always consider the shared responsibility model in the public cloud. However, there are also ways where Artificial Intelligence (AI) can help. This article describes that an AI-defined Infrastructure respectively an AI-powered IT management system can help to avoid service disruptions of public cloud providers.
VeriStor Systems has announced that CRN has named VeriStor to its 2017 Managed Service Provider (MSP) 500 list in the Elite 150 category. This annual list recognizes North American solution providers with cutting-edge approaches to delivering managed services. Their offerings help companies navigate the complex and ever-changing landscape of IT, improve operational efficiencies, and maximize their return on IT investments. In today’s fast-paced business environments, MSPs play an important role in helping companies leverage new technologies without straining their budgets or losing focus on their core business. CRN’s MSP 500 list shines a light on the most forward-thinking and innovative of these key organizations.
These days we are moving more and more logic towards the user into the browser to achieve higher performance and better user experience. There are Single Page Application frameworks like AngularJS, React, Ember and others supporting this trend. If it works, everything is fine. But with this trend a JavaScript error can become a website killer. What does this mean? Below you can see the same page twice, but depending on the browser used, you get a product list from which you can make a selection…or NOT! The difference is the result of a simple JavaScript error!
Meteor is a full-stack JavaScript platform for developing modern web and mobile applications. It includes developer tools, websockets, MongoDB integration, and a package manager. Atmosphere.js is the Meteor package manager. Unfortunately, it doesn’t list many Meteor monitoring solutions. Luckily, thanks to the Meteor npm integration, it is possible to use npm packages for monitoring Meteor apps with npm based monitoring solutions, such as SPM for Node.js monitoring. SPM for Node.js collects key Node.js metrics such as Event Loop, Garbage Collection, CPU, Memory and web services metrics. All metrics are organized in out-of-the-box charts, which can be put on additional dashboards and placed next to performance charts for other parts of the application stack and their logs for doing metric-logs correlations.
On the one hand, AI is perhaps the most revolutionary set of innovations since the transistor. But on the other, the bad press surrounding it continues to mount, perhaps even faster than the innovations themselves. This PR storm impacts enterprises as well, as AI promises to change the role technology plays for every industry on this planet. That is, unless the killer robots do us in first.
In the age of global cyberattacks, corporate enterprises and government agencies that have some type of cloud-based network solutions should be looking at a strategic design focus that guarantees a very secure intelligent infrastructure unsusceptible to cyberattacks or natural disasters. Hardening an organization’s data center as well as its networks (and clouds) is a critical step to ensuring its business continuity. In today’s corporate business environment, many organizations cannot survive if their core applications are out-of-service for a couple of days.
Electric utility companies promoting power conservation programs discovered that simply informing consumers of their electricity usage relative to neighbors lowered overall consumption. This type of normative social comparison has produced the same effects in other domains. Why does this work? How can the idea be used in Customer Success?
A recent argument with folks whose intelligence I hold in high regard (like Tom, Brandon, Wei, Anil, etc.) got me thinking about the following question: What does it mean, as a vendor, to say that you support the Internet of Things (IOT) from an analytics perspective? I think the heart of that question really boils down to this: What are the differences between big data (which is analyzing large amounts of mostly human-generated data to support longer-duration use cases such as predictive maintenance, capacity planning, customer 360 and revenue protection) and IOT (which is aggregating and compressing massive amounts of low latency / low duration / high volume machine-generated data coming from a wide variety of sensors to support real-time use cases such as operational optimization, real-time ad bidding, fraud detection, and security breach detection)?