Speaker: Victor Marmol
Victor is a Staff Software Engineer at Google and is one of the leaders of the Borg team. Borg is the cluster management system which runs all of Google’s compute jobs across the world; starting over 2 billion containers per week. He's worked on open sourcing some of Google’s containers infrastructure technology through lmctfy and cAdvisor. He also spent some time as a maintainer of Kubernetes and Docker's libcontainer. His current work around containers in Google is centered around automatic performance management and container migration.
Tracks
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Developer Experience: The Art and Science of Reducing Friction
Explore how to reduce developer friction between teams and stakeholders.
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Blameless Culture
Absorb the lessons learned from failures and outages in a human-centric process.
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Modern Computer Science in the Real World
Learn how companies are applying recent CS research to tackle concurrency, distributed data, and coordination.
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Architectures You’ve Always Wondered About
Join companies like Google, Netflix, Bloomberg, BBC, and more as they share an inside glimpse on their next-gen architectures and challenges of delivering at massive scale.
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Bare Knuckle Performance
Learn from practitioners on the challenges and benefits of architecting for performance and much more.
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Java - The Interesting Bits
Learn the new features in the recent and near-future releases of Java and the JVM and what they offer.
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Ethical Considerations in Consciously Designed Software
Design considerations for various contexts, locations, security and privacy requirements.
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Operating Microservices
Learn from practitioners operating and evolving systems in performance demanding environments.
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Shift-Left Cybersecurity: Developer Accountability for Security
Learn how to make security an inherent part of the software development process.
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Native Compilation Is Back (A Look at Non-Vm Compilation Targets)
Issues with native compilation for in browser-based and server-side environments
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Troubleshooting in Production
Learn debugging strategies for complex and high stakes environments where standard debuggers and profilers fail.
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Predictive Architectures and ML
Learn about cutting-edge ML applications and their underlying architectures.
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Mission Critical Data Engineering
Explore a variety of data engineering use-cases and applications
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Production Readiness
Observability, emergency response, capacity planning, release processes, and SLOs for availability and latency.
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Humane Leadership
A look at leadership with an emphasis on empathy, taking chances and building other leaders within organizations and teams