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Engineering

Modernizing Logging at Uber with CLP (Part II)

27 June / Global
Featured image for Modernizing Logging at Uber with CLP (Part II)
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Figure 1: The Current CLP Ecosystem Deployed At Uber.
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Figure 2: The diversity of logs at Uber and the systems suitable to handle each type.
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Figure 3: Using the log viewer to filter for critical (ERROR or below) log events.
Gao Xin

Gao Xin

Xin is a Staff Engineer on Uber’s Data Compute, YARN, Real Time Analytics, and Pinot team. He productionized the CLP ecosystem and spearheaded the modernization of Uber batch compute logs. He is also a contributor to the CLP open-source project.

Jack Luo

Jack Luo

Jack is a Consulting Engineer collaborating with many Data teams—including Pinot, Flink, YARN, Spark, HDFS, and Kafka—to enhance Uber’s logging, observability, and analytics infrastructure. Jack also co-authored CLP’s academic research paper during his PhD research at University of Toronto and serves as one of the core maintainers of the CLP project.

Kirk Rodrigues

Kirk Rodrigues

Kirk, a key maintainer of the open-source CLP project, collaborated with Jack and Xin to improve and develop Uber’s logging infrastructure. He was one of the authors and core developers of the CLP system during his PhD research at the University of Toronto.

Posted by Gao Xin, Jack Luo, Kirk Rodrigues

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