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51:30

Understand, Automate, and Collaborate for Development Speed with Microservices

Posted by Russ Miles  on  Jun 02, 2017 Posted by Russ Miles  on  Jun 02, 2017

Russ Miles discusses how to ensure proper collaboration between microservices teams using the Atomist suite of ChatOps tools and services.

59:44

Automating at a Higher Level with Atomist

Posted by Jessica Kerr  on  Jun 01, 2017 Posted by Jessica Kerr  on  Jun 01, 2017

Jessica Kerr demonstrates the standard Atomist coordination and automation tools, plus how to program instant automation for a code and team.

45:00

Data Preparation for Data Science: A Field Guide

Posted by Casey Stella  on  Apr 23, 2017 Posted by Casey Stella  on  Apr 23, 2017

Casey Stella presents a utility written with Apache Spark to automate data preparation, discovering missing values, values with skewed distributions and discovering likely errors within data.

21:07

Machine Learning at Scale

Posted by Aditya Kalro  on  Apr 18, 2017 Posted by Aditya Kalro  on  Apr 18, 2017

Aditya Kalro discusses using large-scale data for Machine Learning (ML) research and some of the tools Facebook uses to manage the entire process of training, testing, and deploying ML models.

43:06

Elastic Data Analytics Platform @Datadog

Posted by Doug Daniels  on  Feb 17, 2017 1 Posted by Doug Daniels  on  Feb 17, 2017 1

Doug Daniels discusses the cloud-based platform they have built at DataDog and how it differs from a traditional datacenter-based analytics stack, pros and cons and the tooling built.

49:48

Architecting for Failure in a Containerized World

Posted by Tom Faulhaber  on  Feb 16, 2017 Posted by Tom Faulhaber  on  Feb 16, 2017

Tom Faulhaber discusses the new container-based toolbox for building systems that are robust in the face of failures, how to recover from failure and how the tools can be used to best effect.

38:47

Webpack: The One Build Step to Rule Them All

Posted by Sean Larkin  on  Jan 22, 2017 Posted by Sean Larkin  on  Jan 22, 2017

Sean Larking talks about the four concepts everyone should know when using Webpack so they can take and make it their own.

01:09:56

Implementing Microservices Tracing with Spring Cloud and Zipkin

Posted by Marcin Grzejszczak  on  Jan 04, 2017 Posted by Marcin Grzejszczak Reshmi Krishna  on  Jan 04, 2017

Marcin Grzejszczak and Reshmi Krishna describe how to do distributed tracing with Spring Cloud Sleuth and Zipkin, demoing incorporating these technologies into an existing stock trading application.

32:43

How to Properly Blame Things for Causing Latency: An Introduction to Distributed Tracing and Zipkin

Posted by Adrian Cole  on  Jan 04, 2017 Posted by Adrian Cole  on  Jan 04, 2017

Adrian Cole overviews how to debug latency problems using call graphs created by Zipkin, taking a look at the ecosystem, including tools to trace Ruby, C#, Java and Spring Boot apps.

50:00

Intuition Engineering

Posted by Casey Rosenthal  on  Dec 17, 2016 Posted by Casey Rosenthal  on  Dec 17, 2016

Casey Rosenthal talks about a new discipline called Intuition Engineering and Vizceral, a tool they built at Neflix to process massive amounts of visual data in parallel.

01:03:36

Spinnaker - Land of a 1000 Builds

Posted by Greg Turnquist  on  Dec 14, 2016 Posted by Greg Turnquist  on  Dec 14, 2016

Greg Turnquist talks about Spinnaker, the open source continuous deployment tool that supports multiple clouds, multiple languages, and multiple providers.

01:01:08

40 Tips & Tricks for Spring in IntelliJ IDEA

Posted by Stephane Nicoll  on  Dec 07, 2016 Posted by Stephane Nicoll Yann Cebron  on  Dec 07, 2016

Stephane Nicoll and Yann Cebron talk about how to navigate, edit and perform refactorings across a variety of common Spring technologies.

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