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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 San Francisco Lead Chair, Host of the InfoQ Podcast, & Former VP of Technology @SectionIO

Wesley Reisz is the former 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

2020 Tracks

  • Remotely Productive: Remote Teams & Software

    More and more companies are moving to remote work. How do you build, work on, and lead teams remotely?

  • Operating Microservices

    Building and operating distributed systems is hard, and microservices are no different. Learn strategies for not just building a service but operating them at scale.

  • Distributed Systems for Developers

    Computer science in practice. An applied track that fuses together the human side of computer science with the technical choices that are made along the way

  • The Future of the API: REST, gRPC, GraphQL and More

    Web-based API continue to evolve. The track provides the what, how, and why of future APIs, including GraphQL, Backend for Frontend, gRPC, & ReST

  • Resurgence of Functional Programming

    What was once a paradigm shift in how we thought of programming languages is now main stream in nearly all modern languages. Hear how software shops are infusing concepts like pure functions and immutablity into their architectures and design choices.

  • Social Responsibility: Implications of Building Modern Software

    Software has an ever increasing impact on individuals and society. Understanding these implications helps build software that works for all users

  • Non-Technical Skills for Technical Folks

    To be an effective engineer, requires more than great coding skills. Learn the subtle arts of the tech lead, including empathy, communication, and organization.

  • Clientside: From WASM to Browser Applications

    Dive into some of the technologies that can be leveraged to ultimately deliver a more impactful interaction between the user and client.

  • Languages of Infra

    More than just Infrastructure as a Service, today we have librarys, languages, and platforms that help us define our infra. Languages of Infra explore languages and libraries being used today to build modern cloud native architectures.

  • Mechanical Sympathy: The Software/Hardware Divide

    Understanding the Hardware Makes You a Better Developer

  • Paths to Production: Deployments You've Always Wondered About

    Deployment pipelines allow us to push to production at ever increasing volume. Paths to production looks at how some of software's most well known shops continuous deliver code.

  • Java, The Platform

    Mobile, Micro, Modular: The platform continues to evolve and change. Discover how the platform continues to drive us forward.

  • Security for Engineers

    How to build secure, yet usable, systems from the engineer's perspective.

  • Modern Data Engineering

    The innovations necessary to build towards a fully automated decentralized data warehouse.

  • Machine Learning for the Software Engineer

    AI and machine learning is more approachable than ever. Discover how ML, deep learning, and other modern approaches are being used in practice by Software Engineers.

  • Inclusion & Diversity in Tech

    The road map to a inclusive and diverse tech organization. *Diversity & Inclusion defined as the inclusion of all individuals in an within tech, regardless of gender, religion, ethnicity, race, age, sexual orientation, and physical or mental fitness.

  • Architectures You've Always Wondered About

    How do they do it? In QCon's marquee Architectures track, we learn what it takes to operate at large scale from well-known names in our industry. You will take away hard-earned architectural lessons on scalability, reliability, throughput, and performance.

  • Architecting for Confidence: Building Resilant Systems

    Your system will fail. Build systems with the confidence to know when they do, you won't.