知鸦日报2023-01-21

At Uber, we have been operating an Apache Hadoop® based Data analytics platform since 2015. As adoption picked up exponentially in 2016, we decided to secure our platform with Kerberos authentication. Since then, Kerberos has become a critical component of our security infrastructure supporting not only Uber’s Hadoop ecosystem but also other services that are considered mission critical to our tech stack.

Uber has a large and diverse tech stack deployed on thousands of machines and storing more than 300 PB of analytics data. Systems using Kerberos authentication include YARN, HDFS, Apache Hive™, Apache Kafka®, Apache Zookeeper™, Presto®, Apache Spark™, Apache Flink®, and Apache Pinot™, to name a few. Besides open-source systems, many of the internally developed platforms and services also use Kerberos for authentication. All these services need to securely communicate with each other, as well as provide secure access for all their user clients.

In this blog post, we’ll share some of the key challenges and the solutions that enabled us to scale adoption of Kerberos for authentication at Uber.

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