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53:19

Enabling Awesome Engineering Teams

Posted by Alexandre Freire  on  Mar 25, 2017 Posted by Alexandre Freire  on  Mar 25, 2017

Alexandre Freire discusses what his team has learned through experiments, from the very fundamentals of what a team needs to be successful to Modern Agile engineering techniques.

47:47

Stream Processing & Analytics with Flink @Uber

Posted by Danny Yuan  on  Mar 25, 2017 Posted by Danny Yuan  on  Mar 25, 2017

Danny Yuan discusses how Uber builds its next generation of stream processing system to support real-time analytics as well as complex event processing.

39:21

Demistifying DynamoDB Streams

Posted by Akshat Vig  on  Mar 25, 2017 Posted by Akshat Vig Khawaja Shams  on  Mar 25, 2017

Akshat Vig and Khawaja Shams discuss DynamoDB Streams and what it takes to build an ordered, highly available, durable, performant, and scalable replicated log stream.

51:04

How to Design and Develop in an Inclusive Way

Posted by Chris Bush  on  Mar 25, 2017 Posted by Chris Bush Molly Watt  on  Mar 25, 2017

Molly Watt and Chris Bush discuss designing for people with specific visual, auditory, cognitive and mobility needs, accessibility features and challenges for certain users engaging digital services.

43:24

Freeing the Whale: How to Fail at Scale

Posted by Oliver Gould  on  Mar 25, 2017 Posted by Oliver Gould  on  Mar 25, 2017

Oliver Gould discusses Finagle, a library providing a uniform model for handling failure at the communications layer, enabling Twitter to fail, safely and often.

49:06

Building a Data Science Capability from Scratch

Posted by Victor Hu  on  Mar 23, 2017 Posted by Victor Hu  on  Mar 23, 2017

Victor Hu covers the challenges, both technical and cultural, of building a data science team and capability in a large, global company.

49:31

Data Cleansing and Understanding Best Practices

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

Casey Stella talks about discovering missing values, values with skewed distributions and likely errors within data, as well as a novel approach at finding data interconnectedness.

48:32

Predictability in ML Applications

Posted by Claudia Perlich  on  Mar 23, 2017 Posted by Claudia Perlich  on  Mar 23, 2017

Claudia Perlich presents scenarios in which the combination of different and highly informative features can have significantly negative overall impact on the usefulness of predictive modeling.

44:45

SQL Server on Linux: Will it Perform or Not?

Posted by Slava Oks  on  Mar 22, 2017 Posted by Slava Oks  on  Mar 22, 2017

Slava Oks talks about SQL Server’s history, high-level architecture and dives into core of I/O Manager, Memory Manager, and Scheduler. Topics include lessons learned and experiences behind the scenes.

44:34

Security War Stories: The Battle for the Internet of Things

Posted by Alasdair Allan  on  Mar 22, 2017 Posted by Alasdair Allan  on  Mar 22, 2017

Alasdair Allan discusses the security problems when building Internet of Things devices, and the underlying differences between the IoT and the digital Internet that drive those security issues.

45:21

Framing Our Potential for Failure

Posted by Michelle Brush  on  Mar 18, 2017 Posted by Michelle Brush  on  Mar 18, 2017

Michelle Brush discusses modeling complex systems and architectural changes that could introduce new modes of failure, using examples from embedded systems to large stream processing pipelines.

47:47

Automating Chaos Experiments in Production

Posted by Ali Basiri  on  Mar 15, 2017 Posted by Ali Basiri  on  Mar 15, 2017

Ali Basiri discusses the motivation behind ChAP (Chaos Automation Platform), how they implemented it, and how Netflix service teams are using it to identify systemic weaknesses.

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