Raphael Menderico
A UNICAMP Computer Engineering graduate (2005), Raphael Menderico joined Google as a Software Engineer in 2010. Since February 2022, he has been part of the P2020 monitoring organization, where he leads the Ingestion team. In this role, he oversees Google's internal telemetry library for infrastructure data, including Borg, corporate machines, network, and CDN. Additionally, his work centers on the interoperability of Cloud and Borg to support observability for hybrid workloads.
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This talk addresses the challenges of operating Google's monitoring systems at scale, handling terabytes of telemetry data and preventing overload from diverse workloads. We'll explore how Google's internal client library and Monarch, its planet-scale time-series database, work together for cost-effective data collection. Key principles include a distributed push model, dynamic client-side data reduction, centralized retention, and periodic metric analysis. The session will then bridge these concepts to the open-source world, discussing our work with OpenTelemetry's OpAMP protocol to achieve similar scalable and efficient telemetry collection. Attendees will gain insights into adapting these principles for cost savings and learn about our collaboration with the OpAMP SIG to benefit the broader community.
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