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Track: Sponsored Solutions Track II

Location:

Day of week:

Industry practitioners and technical product managers from leading vendors demonstrate solutions to some of today's toughest software development challenges in the areas of performance monitoring, Big Data, software delivery, scalability, and more.

Track Host:
Nitin Bharti
Managing Editor and Product Manager @C4Media
Nitin has helped build several notable online developer communities including TheServerSide.com, DZone, and The Code Project. He is known for his extensive editorial work in the Enterprise Java, .NET, SOA, and Agile communities. As Managing Editor and Product Manager at C4Media - the producer of InfoQ.com and QCon events - Nitin continues to pursue his primary passion: helping spread knowledge and innovation throughout the enterprise software development community.
10:35am - 11:25am

by Ian Goldsmith
VP of Product Management @AkanaInc

More and more enterprises today are doing business by opening up their data and applications through APIs. Though forward-thinking and strategic, exposing APIs also increases the surface area for potential attack by hackers.

To benefit from APIs while staying secure, enterprises and security architects need to continue to develop a deep understanding about API security and how it differs from traditional web application security or mobile application security.

In this session,...

11:50am - 12:40pm

by Wayne Ariola
Chief Strategy Officer @Parasoft

As software increasingly becomes the face of the business, defects can lead to embarrassment, financial loss, and even business failure. Nevertheless, in response to today's demand for speed and “continuous everything,” the software delivery conveyer belt keeps moving faster and faster. It's foolhardy to expect that speeding up an already-troubled implementation process will achieve the desired results.

Wayne Ariola shares why and how to evolve from automated to continuous testing and...

1:40pm - 2:30pm

by Neelesh Pateriya
Innovation Architect @CiscoCloud

Developers are driving the market for cloud consumption and leading each industry into the new era of software defined disruption. There are no longer questions about elastic and flexible agile development as the way to innovate and reduce time to market for businesses. However, current cloud solutions do not enable application development platforms natively or provide the ability to create applications that are cloud native with elastic services.

In addition, businesses are moving to...

2:55pm - 3:45pm

by Nitin Pathak
Senior Solutions Engineer @Perforce

Why does Continuous Delivery matter? In this session, Perforce’s Nitin Pathak will demonstrate tips and tricks behind the functional components of successful Continuous Delivery.

Join us and delve into efficient management practices powered by the Perforce Helix stack, learn how Helix Version Control can sanitize and optimize your delivery pipeline with Jenkins and Puppet Integration, and watch a demonstration on useful Continuous Delivery components. Your pipeline will thank you.

4:10pm - 5:00pm

by Ken Mugrage
Technical Evangelist @ThoughtWorks

There is a lot of talk about breaking away from monolithic design in software systems in favor of more manageable architectures like microservices. Often there is a desire to run these smaller parts in containers like Docker. Unfortunately organizational behaviors often do not change to properly take advantage of this newer way of thinking.

In this talk you’ll learn how modern Continuous Delivery systems can be used to independently build, test and deploy small services while still...

5:25pm - 6:15pm

by Doug Bateman
Dir. of Training @NewCircle

You’ve heard a lot of buzz about Spark - but have you seen it in action?

In this fast-paced coding tour I’ll show you Spark's ability to rapidly process Big Data. I'll demonstrate extracting information with RDDs, querying data using DataFrames, visualizing and plotting data, and show you how to create a machine-learning pipeline with Spark-ML and MLLib. We'll also discuss the internals which make Spark 10-100 times faster than Hadoop MapReduce and Hive.

Tracks

Covering innovative topics

Monday Nov 16

Tuesday Nov 17

Wednesday Nov 18