Internet of Things and the API Economy @SOASoftwareInc | @ThingsExpo [#IoT]

“People are a lot more knowledgeable about APIs now. There are two types of people who work with APIs – IT people who want to use APIs for something internal and the product managers who want to do something outside APIs for people to connect to them,” explained Roberto Medrano, Executive Vice President at SOA Software, in this SYS-CON.tv interview at Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.

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Beyond Big Data and @Benioff’s “AI Spring” to the Dawn of Dataware By @MattMcIlwain | @CloudExpo [#BigData]

Big Data, AI, Machine Learning, Hadoop, Predictive Analytics — we hear these terms every day from companies such as Cloudera, Trifacta and Dato (formerly GraphLab) that are securing many millions in financing. I believe that 2015 will be the year when the conversation moves from Big Data to the Dataware stack. Over the past twelve months we have seen a lot of companies across the big data spectrum emerge and while the language can be the same, there are clear product categories that have emerged which describe the market opportunity and future growth.

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Parsing and Centralizing Elasticsearch Logs By @Sematext | @DevOpsSummit [#DevOps]

No, it’s not an endless loop waiting to happen, the plan here is to use Logstash to parse Elasticsearch logs and send them to another Elasticsearch cluster or to a log analytics service like Logsene (which conveniently exposes the Elasticsearch API, so you can use it without having to run and manage your own Elasticsearch cluster).
If you’re looking for some ELK stack intro and you think you’re in the wrong place, try our 5-minute Logstash tutorial. Still, if you have non-trivial amounts of data, you might end up here again. Because you’ll probably need to centralize Elasticsearch logs for the same reasons you centralize other logs.

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Remote Work in Ops By @PagerDuty | @DevOpsSummit [#DevOps]

Remote work in ops is divisive. The perks of working from home, your local coffee shop, wherever, can be quite obvious to engineers and contributors. But some team leaders and company execs aren’t buying it. One faction sees it as a way to do better quality work. Another has watched deadlines and motivation fall by the wayside because of unresponsive remote workers.

What are the advantages and disadvantages of remote work? What should you consider before you take the plunge into flexible hours and asynchronous communication?

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SDN and Gartner’s Hype Cycle By @MartenT1999 | @CloudExpo [#SDN]

Many years ago Gartner introduced their technology Hype Cycle, which maps visibility against maturity for new technology. The Hype Cycle in essence states that many new technologies get a large amount of visibility early in their maturity cycle. The visibility and enthusiasm drops significantly when reality sets in: technologies early in their maturity cycle will have low adoption rates. The vast majority of customers of technology are conservative in their choices, especially if this new technology is not (yet) fundamental to this customer’s business.

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Has MapR Already Won This Contest? | @CloudExpo [#BigData @MapR]

If you’re part of the decision making process in how to get started with Big Data then you’ve probably already discovered that open source Apache Hadoop has a big lead. You also know that unless you’ve got a particularly deep NoSQL team or want to write your own proprietary code that the free open source version of Hadoop is not for the great majority of businesses. You want the benefits of open source but with some support and some capabilities that tie the open source components together in an enterprise quality database system. You want a Hadoop Distribution.

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Responsive Internet of Things Platform with @AgilePoint | @ThingsExpo [#IoT]

“For over 25 years we have been working with a lot of enterprise customers and we have seen how companies create applications. And now that we have moved to cloud computing, mobile, social and the Internet of Things, we see that the market needs a new way of creating applications,” stated Jesse Shiah, CEO, President and Co-Founder of AgilePoint Inc., in this SYS-CON.tv interview at 15th Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.

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He Said / You Said By @MJannery | @CloudExpo [#Cloud #SDN]

Some of the network gear vendors cast a wary look at network management vendors, particularly those who do continual, automatic discovery of the network inventory and connectivity. Why?

We know what’s actually out there, and what’s actually being used.
We had one customer in the insurance industry who was due to renew their maintenance agreement with a large, well-known network gear vendor. The typical scenario was to be handed a spreadsheet by the salesperson, listing the serial numbers of the network devices they had purchased, together with a summary of maintenance charges.

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The Possibilities of the Internet of Things By @Cognizant | @ThingsExpo [#IoT]

Code Halos – aka “digital fingerprints” – are the key organizing principle to understand a) how dumb things become smart and b) how to monetize this dynamic.
In his session at @ThingsExpo, Robert Brown, AVP, Center for the Future of Work at Cognizant Technology Solutions, outlined research, analysis and recommendations from his recently published book on this phenomena on the way leading edge organizations like GE and Disney are unlocking the Internet of Things opportunity and what steps your organization should be taking to position itself for the next platform of digital competition.

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GE’s Industrial Internet of Things as a Service | @ThingsExpo [#IoT]

In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE’s advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial Cloud.

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