Architecting for Change at Scale

Regardless of industry, programming language, or company size, change is a necessity in technology. We can’t effectively anticipate all future evolutions, but we can learn from past experiences to inform how to make our systems easier to change without over-engineering. The ability to safely and effectively deploy change at scale can be the difference in beating competitors to market, mitigating zero-day vulnerabilities, keeping developers happy, and ensuring customers have a reliable product.

Change is present every day in how we evolve our systems and release features. It is there when we decide to adopt a new technology or migrate systems from one solution to another. It’s also there when we need to rapidly address large-scale vulnerabilities at scale like we saw last year with log4j.

In this track, attendees will learn patterns and practices to help them architect systems and tooling with agility top of mind – enabling technology to keep up with the needs of the business while minimizing risk and technical debt


From this track

Session

Adopting Continuous Deployment at Lyft

Monday Oct 24 / 10:35AM PDT

All organizations, regardless of size, need to be able to make rapid changes and improvements in their constantly growing systems. How can we handle all this change while maintaining a reliable product? 

Tom Wanielista

Senior Staff Software Engineer @Lyft

Session

Dark Side of DevOps

Monday Oct 24 / 02:55PM PDT

Topics like “you build it, you run it” and “shifting testing/security/data governance left” are popular: moving things to the earlier stages of software development, empowering engineers, shifting control definitely sounds good.

Mykyta Protsenko

Senior Software Engineer @Netflix

Session

Crypto Agility: Risk Management For When Your Service Can Take Down Everyone

Monday Oct 24 / 04:10PM PDT

In May 2022 the White House released a National Security memorandum

Anvita Pandit

Senior Software Engineer @Google

Session

Log4Shell Response Patterns & Learnings From Them

Monday Oct 24 / 05:25PM PDT

In early December 2021, rumors about a remote code execution (RCE) vulnerability in Log4j began circulating on social media, dubbed Log4Shell. Over the next three days, those rumors were confirmed and the immense scope of the vulnerability became clear.

Tapabrata Pal

Vice President of Architecture @Fidelity

Session

Enabling Change @ Scale Roundtable

Monday Oct 24 / 11:50AM PDT

Increasing the safe delivery of change has immense business value across a number of dimensions, so how can we improve our ability to manage change at scale?

Anvita Pandit

Senior Software Engineer @Google

Tom Wanielista

Senior Staff Software Engineer @Lyft

Mykyta Protsenko

Senior Software Engineer @Netflix

Tapabrata Pal

Vice President of Architecture @Fidelity

Session

Unconference: Architecting for Change

Monday Oct 24 / 01:40PM PDT

What is an unconference? At QCon SF, we’ll have unconferences in most of our tracks.

Shane Hastie

Global Delivery Lead for SoftEd and Lead Editor for Culture & Methods at InfoQ.com

Date

Monday Oct 24 / 09:00AM PDT

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QCon San Francisco 2022
Oct 24 - 28, 2022

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Track Host

Haley Tucker

Senior Software Engineer for Productivity Engineering @Netflix

Haley Tucker is a Senior Software Engineer for Productivity Engineering at Netflix where she is responsible for building systems and tools which reduce friction in the Software Development Lifecycle (SDLC), allowing developers to focus more on their business goals. Prior to that, she was a member of the Resilience Engineering team responsible for improving the reliability of the Netflix ecosystem through trustable and safe tooling. She has also worked on the Playback Features team where her services filled a key role in enabling Netflix to stream content to millions of members on thousands of device types worldwide. Prior to Netflix, Haley spent a few years building custom billing and payment solutions for cloud and telephony service providers as a consultant as well as near-real-time command and control systems at Raytheon. Haley enjoys applying new technologies to develop robust and maintainable systems, and the scale at Netflix has been a unique and exciting challenge. Haley received a BS in Computer Science from Texas A&M University

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