Software-defined architectures are critical for achieving the right mix of efficiency and scale needed to meet the challenges that will come with the Internet of Things If you’ve been living under a rock (or rack in the data center) you might not have noticed the explosive growth of technologies and architectures designed to address emerging challenges with scaling data centers. Whether considering the operational aspects (devops) or technical components (SDN, SDDC, Cloud), software-defined architectures are the future enabler of business, fueled by the increasing demand for applications.
Monthly Archives: December 2014
Internet of Things and ‘The Physical Web’ By @ScottJenson | @ThingsExpo [#IoT]
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you’ll be fine. But if we really believe there will be trillions of these devices, that just can’t scale. We need a system that is open a scalable and by using the URL as a basic building block, we open this up and get the same resilience that the web enjoys.
Ho to Build an Effective and Stable Network By @10StrikeSoft | @CloudExpo [#Cloud]
Usually, it is the task of the system administrator in the organization to make its network stable and reliable. His effective operation requires him to know all the information on network: number of hosts, where they are situated, quality of connections between them, their operation, and many other aspects. If he does not know every small detail of the company’s network, if he does not have the whole picture in front of his eyes when problems arise, he might fight the symptoms of the problems and not the problems themselves.
Big Sensor Data and the ‘Internet of Things’ By @TreasureData | @ThingsExpo [#IoT]
There’s Big Data, then there’s really Big Data from the Internet of Things.
IoT is evolving to include many data possibilities like new types of event, log and network data.
The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges.
In her session at Big Data Expo®, Hannah Smalltree, Director at Treasure Data, discussed how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other machines.
The Internet of Things and Mobility | @ThingsExpo [#IoT]
The Internet of Things smells like opportunity for everyone. There is no industry that hasn’t been touched by the notion of smart “things” enabling convenience or collaboration or control in every aspect of our lives. From healthcare to entertainment, from automotive to financials, the Internet of Things is changing the way we work, live and play. That’s the view from the consumer side, from the perspective of someone using the technology made available by
Real-time Analysis of the ‘Internet of Things’ on Azure | @ThingsExpo [#IoT]
Simply put, it is about collection of data from various devices (different types, different protocols, different complexity, etc) in real-time and aggregating and processing this incoming stream of data to provide useful information. This can enormously improve efficency and make the business stand out. Presently businesses may be implementing custom solutions for addressing such data handling and analysing scenarios.
This is going to get more streamlined, easy and cost-effective using the recently introduced Azure Stream Analytics. Azure Stream analytics has all the well known advantages of Azure Cloud; fully managed; real-time stream computation; highly resilient; and easy to implement and easy to get started. It can, not only help larger corporations who want to dissociate themselves from custom solutions but also help small businesses who cannot afford a custom solution.
Internet of Things Monetization By @AriaSystemsInc | @Thingsxpo [#IoT]
When it comes to monetizing the Internet of Things, it can appear that consumer scenarios are where all the action is. Connected cars, homes, kitchen appliances, connected clothing — connected wrists. If you’re a B2B company, you may be feeling left out of the party. Fear not. Your RSVP is […]Sean Kirk
The post Internet of Things – Monetization Opportunities for B2Bs appeared first on Recurring Revenue Blog | Aria Systems.
Big Data and Banking – More than Hadoop | @CloudExpo [#BigData]
Fraud is definitely top of mind for all banks. Steve Rosenbush at the Wall Street Journal recently wrote about Visa’s new Big Data analytic engine which has changed the way the company combats fraud. Visa estimates that its new Big Data fraud platform has identified $2 billion in potential annual incremental fraud savings. With Big Data, their new analytic engine can study as many as 500 aspects of a transaction at once. That’s a sharp improvement from the company’s previous analytic engine, which could study only 40 aspects at once. And instead of using just one analytic model, Visa now operates 16 models, covering different segments of its market, such as geographic regions.
.@Skytap Blog on ‘DevOps Journal’ Exceeds 84,000 Reads | @DevOpsSummit [#DevOps]
SYS-CON Media announced today that Skytap blog on “DevOps Journal” exceeded 84,000 story reads. DevOps Journal is focused on this critical enterprise IT topic in the world of cloud computing. DevOps Journal brings valuable information to DevOps professionals who are transforming the way enterprise IT is done. Noel Wurst is the managing content editor at Skytap. Skytap provides SaaS-based dev/test environments to the enterprise. Skytap solution removes the inefficiencies and constraints that companies have within their software development lifecycle. As a result, customers release better software faster. In this blog, we publish engaging, thought provoking stories that revolve around agile enterprise applications and cloud-based development and testing.
In-Memory Technology & Wave of Innovation By @GridGain | @CloudExpo [#BigData]
Gordon E. Moore’s famously predicted tech explosion was prophetic, but it may have hit a snag. While the number of transistors on integrated circuits has doubled approximately every two years since his 1965 paper, the ability to process and transact on data hasn’t. We’re now ingesting data faster than we can make sense of it, leaving computing at an impasse. Without a new approach, the innovation promised by the combination of big data and internet scale may be like the flying cars we thought we’d see by 2014. Fortunately, this is is not the case, as in-memory computing offers a way to bridge this impasse.ning the doors to mass adoptiong of in-memory computing through open source.