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36:54
Development Follow 197 Followers

Shaving the Golden Yak

Posted by Jessica Kerr  on  Oct 20, 2017 1 Posted by Jessica Kerr Follow 0 Followers  on  Oct 20, 2017 1

Jessica Kerr provides reasons to spend some time smoothing the development experience, and clues for where to spend that time in ways that help the entire team.

42:04
Architecture & Design Follow 809 Followers

Reasoning about Complex Distributed Systems

Posted by Erich Ess  on  Sep 20, 2017 Posted by Erich Ess Follow 0 Followers  on  Sep 20, 2017

Erich Ess discusses technical tools needed to gain information on a complex system and practical approaches to convert that information into an actual understanding of the system.

45:07
Culture & Methods Follow 236 Followers

More Reliable Delivery with Monte Carlo & Mapping

Posted by Conal Scanlon  on  Aug 22, 2017 Posted by Conal Scanlon Follow 0 Followers  on  Aug 22, 2017

Conal Scanlon talks about how to use Monte Carlo simulations to remove the guesswork from planning, story mapping to discover the story up front, and reviews an example of how to automate a forecast.

42:18
Culture & Methods Follow 236 Followers

Development Metrics You Should Use But Don't

Posted by Cat Swetel  on  Aug 22, 2017 Posted by Cat Swetel Follow 2 Followers  on  Aug 22, 2017

Cat Swetel discusses new ways and tools to visualize a team’s reliability and variability of delivery using the data already collected.

30:37
Development Follow 197 Followers

Growing A Development Team’s Process Guided by Tests

Posted by Orta Therox  on  Aug 13, 2017 Posted by Orta Therox Follow 0 Followers  on  Aug 13, 2017

Orta Therox introduces Danger, a tool for automating a team's conventions surrounding code review.

42:06
Web API Follow 147 Followers

API Testing with Code Libraries and Cucumber

Posted by Ole Lensmar  on  Aug 06, 2017 Posted by Ole Lensmar Follow 0 Followers  on  Aug 06, 2017

Ole Lensmar discusses various ways and tools for testing web APIs, focusing on using Cucumber.

46:54
Development Follow 197 Followers

An Introduction to Distributed Tracing and Zipkin

Posted by Adrian Cole  on  Aug 05, 2017 Posted by Adrian Cole Follow 2 Followers  on  Aug 05, 2017

Adrian Cole overviews debugging latency problems using call graphs created by Zipkin and reviews the ecosystem, including tools to trace other languages and frameworks.

51:30
Culture & Methods Follow 236 Followers

Understand, Automate, and Collaborate for Development Speed with Microservices

Posted by Russ Miles  on  Jun 02, 2017 Posted by Russ Miles Follow 0 Followers  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
DevOps Follow 310 Followers

Automating at a Higher Level with Atomist

Posted by Jessica Kerr  on  Jun 01, 2017 Posted by Jessica Kerr Follow 0 Followers  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 Science Follow 340 Followers

Data Preparation for Data Science: A Field Guide

Posted by Casey Stella  on  Apr 23, 2017 Posted by Casey Stella Follow 0 Followers  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
Data Science Follow 340 Followers

Machine Learning at Scale

Posted by Aditya Kalro  on  Apr 18, 2017 Posted by Aditya Kalro Follow 0 Followers  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
Data Science Follow 340 Followers

Elastic Data Analytics Platform @Datadog

Posted by Doug Daniels  on  Feb 17, 2017 1 Posted by Doug Daniels Follow 0 Followers  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.

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