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Effective Performance Engineering at Twitter-Scale: Yao Yue at QCon San Francisco

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During the second day of QCon San Francisco 2023, Yao Yue, a Founder of IOP Systems, presented on performance engineering. Yue discussed in her session the evolving performance engineering in the modern era.

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Presentation: Modern Compute Stack for Scaling Large AI/ML/LLM Workloads

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Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized? By Jules Damji

Tuning 88
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Presentation: Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla

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Lily Mara, Hunter Laine walk through the design of a system, its performance characteristics, and how they scaled it. By Lily Mara, Hunter Laine

Design 88
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Presentation: Effective Performance Engineering at Twitter-Scale

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Yao Yue recapitulates scaling a project at Twitter while summarizing some key lessons learned about effective performance engineering. By Yao Yue

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Presentation: The Journey to a Million Ops / Sec / Node in Venice

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Alex Dubrouski, Gaojie Liu discuss some of the tricks used in their pursuit to lower read latency and to reach 1M operations per second per node. By Alex Dubrouski, Gaojie Liu

Latency 82
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Presentation: Managing 238M Memberships at Netflix

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Surabhi Diwan discusses how the Netflix’ membership team outgrew many of its technology and architectural choices as memberships went from a few hundred thousand to 200 million. By Surabhi Diwan