This article discusses common pitfalls in data modernization, emphasizing that focusing solely on technology leads to stagnation. It highlights the importance of treating data as a product and integrating modern engineering practices to achieve tangible returns from cloud investments. The white paper offers insights from successful companies like Gilead and Roche.

A software update at Snowflake led to a 13-hour outage affecting 10 global regions, preventing customers from querying data or ingesting files. The issue stemmed from a backward-incompatible database schema change, which created version mismatch errors across the platform.

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.