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48:13

Beyond the Hype: 4 Years of Go in Production

Posted by Travis Reeder  on  Feb 07, 2016

Travis Reeder thinks performance, memory, concurrency, reliability, and deployment are key to exploring Go and its value in production. Travis describes how it’s worked for Iron.io.

48:45

Using React for the Mobile Web

Posted by Brian Holt  on  Jan 31, 2016

Brian Holt talks about React, performance issues, some general web performance tips, lessons learned while helping write m.reddit.com using React.

01:31:15

Spring Data REST - Data Meets Hypermedia + Security

Posted by Roy Clarkson, Greg Turnquist  on  Jan 30, 2016

Roy Clarkson and Greg Turnquist discuss using Spring Data REST to build a back-end for a startup, exemplifying with Spring-A-Gram, an app built with Spring Data REST and secured by Spring Security.

01:07:27

Functional Programming Kata with Groovy

Posted by Scott Hickey  on  Jan 28, 2016

Scott Hickey works through a solution to the Bank OCR kata, using Groovy and functional programming techniques. The code uses recursion plus Groovy methods that support functional programming.

28:42

The Hypermedia API Pivot

Posted by Nick MacDonald  on  Jan 26, 2016

Nick MacDonald discusses a project’s transformation using hypermedia APIs, which has provided them with a simplified backbone to evolve internally and across boundaries.

48:00

Dino DNA! Health Identity from the Wrist @Jawbone

Posted by Brian Wilt  on  Jan 24, 2016

Brian Wilt discusses how applied machine learning techniques and data science helped Jawbone build a successful fitness tracking app.

01:25:23

Implementing a Highly Scalable Stock Prediction System with R, GemFire and Spring XD

Posted by William Markito Oliveira, Fred Melo  on  Jan 23, 2016 1

William Markito Oliveira and Fred Melo discuss the architecture and implementation details of a stock prediction solution built entirely on top of open source code and some R and a web interface.

01:07:11

Full Stack Groovy Developer

Posted by Iván López  on  Jan 22, 2016

Iván López presents the technological stack of Polaromatic, and demonstrates that it's possible to write the whole stack with Groovy: Backend, Javascript, HTML, Android, test, build tool.

50:53

Takes a Village to Raise a Machine Learning Model

Posted by Lucian Vlad Lita  on  Jan 16, 2016

Lucian Vlad Lita focuses on the next step in personalization: well-designed software architectures for storing, computing, and delivering responsive, accurate in-product predictions and experiments.

49:07

The Lego Model for Machine Learning Pipelines

Posted by Leah McGuire  on  Jan 16, 2016

Leah McGuire describes the machine learning platform Salesforce wrote on top of Spark to modularize data cleaning and feature engineering.

29:31

API Management – A Governmental Perspective

Posted by Simon Ferguson  on  Jan 12, 2016

Simon Ferguson describes how MBIE is using APIs, initiatives that are underway to increase use of APIs, and the considerations that are involved with providing governmental services as APIs.

47:04

Scaling Uber

Posted by Matt Ranney  on  Jan 07, 2016

Matt Ranney covers the evolution of Uber's architecture and some of the systems they built to handle the current scaling challenges.

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