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Track: Speaker AMAs (Ask Me Anything)

Location: Boardroom C

Day of week: Wednesday

QCon has 18 technical and 4 sponsored tracks across the three conference days. 

Each of the technical tracks represents a vertical conference focused on a technology or trend in software. Often times, important concentrations develop at the conference outside of those tracks. The AMAs are a way to address these microtracks or just to get your questions answered with popular speakers. The idea with the AMAs is to create a space for general Q&A around these topics and speakers. 

AMA are an informal gathering for Q&A. Bring your questions for in-depth conversations with QCon speakers.

Track Host: Wes Reisz

QCon SF Chair, Host of the InfoQ Podcast, & VP of Technology @SectionIO

Wesley Reisz is the VP of Technology at Section (an Edge Compute Platform focused on rethinking how the edge is used in DevOps-focused application development). Wes also chairs the LFEdge Landscape Working Group and the San Francisco edition of QCon.

Before joining Section, Wes served as the product owner for all of the English speaking QCon conferences worldwide, was a principal architect with HP Enterprise Systems, and, for over 13 years, taught as an adjunct professor for the University of Louisville (Go Cards!).

At HPE, Wes’ primary roles supported the US Army’s Human Resources (HRC), Recruiting, and Cadet Support Commands based at Fort Knox, Kentucky. Wes was the Principal Architect for US Army Cadet Command and was known for championing, building, and deploying enterprise portal and identity solutions used by Army Recruiting.

In addition to Wes’ current roles, he co-hosts a weekly podcast called The InfoQ Podcast. The InfoQ Podcast serves senior early adopter/early majority developers and architects with interviews from some of software’s most important thought leaders. The podcast has been downloaded over 1.5 million times and has a weekly listener base of around 14K.

10:35am - 11:25am

Speaker AMA w/ Mike McGarr

Mike McGarr, Engineering Leader, Frontend Infrastructure @Slack

11:50am - 12:40pm

Mini workshop Deliberately Designing Collaborative Culture

Collaborative organisational culture doesn't just happen, it needs conscious and deliberate design and careful nurturing.   In this workshop participants will explore what a collaborative organisation culture is, why it matters and how to deliberately design culture.    

Culture is "the way we do things here" rather than anything written or prescribed, so understanding how leadership attitudes and behaviors influence and create organisation culture is vitally important to successfully establishing an environment where people are able to bring their whole selves to work, are engaged and positively contribute to the organisation's success.  This session is presented as series of facilitated conversations drawing out the key aspects of organisation culture and showing how it is influenced by a wide variety of factors including structure, geography, promotion policies and practices, the conversations leaders have, what gets rewarded, ignored or punished, relationships and friendships and a wide variety of other factors.

By the end of the session, the participants will be able to identify areas they wish to address in their own organisations and will have some resources to help them in their culture design.

Shane Hastie, Director of Agile Learning Programs @ICAgile

1:40pm - 2:30pm

Supporting Java Outside LTS w/ Gil Tene

Gil Tene, CTO @AzulSystems

4:10pm - 5:00pm

ML Mini workshop w/ Hien Luu

Please bring a laptop to this session. We recommend taking a look at the following preparation steps in order to prepare for the workshop.

Machine Learning development is a highly iterative process that requires running many experiments to find the best performant model. It also requires a way to easily share the experiment results as well as to package data science code into a reusable and reproducible format.  This workshop will show how MLflow, an open-source project that is designed to simplifying the entire Machine Learning lifecycle, can help with solving the needs listed above.  It will start with a quick overview of MLflow and then follow with a hands-on example of how MLflow can help in the development of a simple Machine Learning application.

Hien Luu, Engineering Manager @Linkedin focused on Big Data

Last Year's Tracks