Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Mark Grover

Mark Grover
Product Manager, Lyft

@mark_grover

Mark Grover is a product manager at Lyft. Mark’s a committer on Apache Bigtop, a committer and PPMCmember on Apache Spot (incubating), and a committer and PMC member on Apache Sentry. He’s also contributed to a number of open source projects, including Apache Hadoop, Apache Hive, Apache Sqoop, and Apache Flume. He’s a coauthor of Hadoop Application Architectures and wrote a section in Programming Hive. Mark is a sought-after speaker on topics related to big data. He occasionally blogs on topics related to technology.

Sessions

2:40pm3:20pm Wednesday, March 7, 2018
Mark Grover (Lyft), Arup Malakar (Lyft)
Average rating: ****.
(4.00, 2 ratings)
Mark Grover and Arup Malakar offer an overview of how Lyft leverages application metrics, logs, and auditing to monitor and troubleshoot its data platform and share how the company dogfoods the platform to provide security, auditing, alerting, and replayability. They also detail some of the internal services and tools Lyft has developed to make its data more robust, scalable, and self-serving. Read more.