GraalVM: Run Programs Faster Anywhere

Scaling Uber’s Hadoop Distributed File System for Growth

Uber’s Data Infrastructure team overhauled our approach to scaling our storage infrastructure by incorporating several new features and functionalities, including ViewFs, NameNode garbage collection tuning, and an HDFS load management service.

Introducing QALM, Uber’s QoS Load Management Framework

To proactively manage our traffic loads based on the criticality of requests, we built QoS Aware Load Management (QALM), a dynamic load shedding framework for incoming requests based on criticality. When the service degrades due to traffic overload, resource exhaustion, or dependency failure, QALM prioritizes server resources for more critical requests and sheds less critical ones. Our goal with QALM is to reduce the frequency and severity of any outages or incidents, leading to more reliable user experiences across our business.

Introducing Kayenta: An open automated canary analysis tool from Google and Netflix