Scalable and Reliable Logging at Pinterest (DataEngConf SF16)
Автор: AI Council
Загружено: 2016-06-01
Просмотров: 33641
In this talk, Krishna Gade (Head of Data Engineering) and Yu Yang (Data Engineer) will present Pinterest’s logging pipeline and share their experience addressing these challenges. They dive deep into three components they developed: data uploading from service hosts to Kafka, data transportation from Kafka to S3, and data sanitization. They also share their experience in operating Kafka at scale in the cloud.
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