Build deterministic OpenShift dataplane performance with TRex

This article presents a detailed methodology for achieving deterministic performance in latency-sensitive dataplane applications running on OpenShift. It focuses on identifying stable operating points under load using a binary-search approach, validating that throughput remains stable while latency is bounded. Key engineering practices discussed include end-to-end system tuning, userspace I/O management, and separating load from latency measurement streams. The article emphasizes the importance of reproducibility and sustained validation in optimizing DPDK workloads for predictable performance.