Distributed Readings

Netflix needed to efficiently partition and scale time series data across Cassandra clusters to handle petabytes of temporal event data while maintaining millisecond latency query performance.

Netflix needed a real-time, dynamic way for engineers to understand service dependencies and troubleshoot issues quickly across their complex distributed microservices infrastructure.

Netflix needed a unified abstraction layer to efficiently handle multiple graph query paradigms (OLAP and OLTP) with different performance and functionality requirements across diverse business use cases.