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Articles

Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference

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By Ruogu Du, Zefang Chu, Sida Zhao, Chunlei Han
| arxiv.org
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Using Machine Learning to Ensure the Capacity Safety of Individual Microservices

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By Ranjib Dey, Shrey Desai, Chris Adams, Ruogu Du
| UBER
Reliability engineering teams at Uber build the tools, libraries, and infrastructure that enable engineers to operate our thousands of microservices reliably at scale. At its essence, reliability engineering boils down to actively preventing outages that affect the mean time between failures (MTBF). As Uber’s global mobility platform grows, our global scale and complex network of microservice call patterns have made capacity requirements for individual services difficult to predict.
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