Uber improved its data observability by implementing a system that tracks I/O patterns across its cloud and on-prem infrastructure. This allows for real-time insights into application performance, network usage, and data access, aiding in migration to a hybrid cloud model. The solution aggregates metrics without requiring code changes, benefiting various workloads.

This article details Cloud Native Qumulo (CNQ) on AWS, highlighting its ability to handle various unstructured data workloads with high performance and scalability. It supports integration with AWS services, offers strong data security, and provides flexible consumption options. The platform is designed for both new applications and migration of existing workloads to the cloud.