Increased Security: Perhaps the most controversial benefit of SDS is that it offers increased security. Hardware enthusiasts will argue that there is nothing stronger than the sticks and bricks of the physical data center and the metal of the hardware devices. But this is not necessarily so. Mathematics, and especially when mathematical proof is available, is more resilient than hardware. And some companies, with limited resources, cannot create the kind of physical security that SDS offers.

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Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. With the concept of Fog Computing, where by the network locally analyze the IoT data and take a decision on what data to be passed on to cloud. It’s a concept called fog computing. And Cisco makes it possible today with the Cisco IOx platform. Cisco IOx takes the best of Cisco IOS Software capabilities, combines them with compute, storage, and memory at the network edge.

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I’ll explain the difference between two major categories in in-memory computing: In-Memory Database and In-Memory Data Grid.
A few months ago, I spoke at the conference where I explained the difference between caching and an in-memory data grid. Today, having realized that many people are also looking to better understand the difference between two major categories in in-memory computing: In-Memory Database and In-Memory Data Grid, I am sharing the succinct version of my thinking on this topic – thanks to a recent analyst call that helped to put everything in place

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«The year ahead brings accelerated disruption, as those technologies which we spoke about last year as being emergent — have now begun to evolve to practical application,» stated Puneet Gupta, Brillio’s Chief Technology Officer. «We are seeing the industry’s rapid adoption of next-generation platforms and services centered on cloud, mobility, big data and the Internet of Things. As our customers continue to leverage technology for digital transformation, Brillio looks towards 2015 as the year we push the limits of where technology can go — as a way to bridge the gap between existing and new solutions, between business and IT — to create real value and genuine growth for our customers.» demanding — their technology partners to run faster with a disruptive frame of mind. These technology partners need to focus on finding new ways to participate, harness, and advance early adoption and innovation at the edge.

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SYS-CON Events announced today Isomorphic Software, the global leader in high-end, web-based business applications, will exhibit at SYS-CON’s DevOps Summit 2015 New York, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY.
Isomorphic Software is the global leader in high-end, web-based business applications. We develop, market, and support the SmartClient & Smart GWT HTML5/Ajax platform, combining the productivity and performance of traditional desktop software with the simplicity and reach of the open web.

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Much of what human beings experience as commonplace today – social networking, on-line gaming, mobile and wearable computing — was impossible a decade ago. One thing is certain: we’re going to see even more impressive advances in the next few years. However, this will be the result of a fundamental change in computing, as current methods have reached their limit in terms of speed and volume. Traditional disk-based storage infrastructure is far too slow to meet today’s data demands for speed at volume, which are growing exponentially. In-memory computing (IMC) offers the only practical way to scale to today’s computing demands. Although IMC may once have been the domain of only the most well-funded organizations, the falling cost of RAM means that it can now be accomplished by any organization on commodity hardware.

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It is almost two years ago now when Dmitriy and I stood in front of the white board at the old GridGain office thinking: “How can we deliver all the real-time performance of GridGain’s in-memory technology to Hadoop customers without asking them rip and replace their systems and without asking them to move their datasets off Hadoop?”.
If you know anything about Hadoop architecture – the task seemed daunting to us and it proved to be one of the most challenging engineering feat that we have accomplished so far.
After almost 24 months of development, tens of thousands of lines of Java, Scala and C++ code, multiple design iterations, several releases and dozens of benchmarks later we have the product that can deliver real-time performance to Hadoop with only minimal integration and no ETL required. Backed-up by customer deployments that prove our performance claims and validate our architecture

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The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp.
When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary.
In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series data.
By focusing on enterprise applications and the data center, he will use OpenTSDB as an example to explain some of these concepts including when to use different storage models.

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DevOps Summit 2015 New York, co-located with the 16th International Cloud Expo – to be held June 9-11, 2015, at the Javits Center in New York City, NY – announces that it is now accepting Keynote Proposals.
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.

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