--- title: Build deterministic OpenShift dataplane performance with... description: A detailed methodology for achieving deterministic, latency-stable dataplane performance for DPDK workloads on bare-metal Red Hat OpenShift. The approach... canonical: https://daily.dev/posts/build-deterministic-openshift-dataplane-performance-with-trex-1sfwesx4a twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Build deterministic OpenShift dataplane performance with TRex | daily.dev og:description: A detailed methodology for achieving deterministic, latency-stable dataplane performance for DPDK workloads on bare-metal Red Hat OpenShift. The approach... og:url: https://daily.dev/posts/build-deterministic-openshift-dataplane-performance-with-trex-1sfwesx4a og:image: https://api.daily.dev/og/posts/1SFwEsX4A.png og:image:alt: Build deterministic OpenShift dataplane performance with TRex og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Build deterministic OpenShift dataplane performance with TRex **[Red Hat Developer](https://daily.dev/sources/rhdev)** · 20 min read · 0 upvotes · 0 comments ## Summary A detailed methodology for achieving deterministic, latency-stable dataplane performance for DPDK workloads on bare-metal Red Hat OpenShift. The approach covers end-to-end stack tuning from BIOS to pod level, including SR-IOV with VFIO for userspace I/O, CPU isolation via Performance Profile Operator, and TRex as a deterministic traffic generator. A binary-search algorithm is used to discover the highest sustainable load (converging at 60% bi-directional line rate) rather than chasing peak throughput. A three-hour durability test validated stable ~13.36 Mpps per direction with mean RTT ~15 µs and max RTT ~27 µs, with no tail-latency spikes. Key takeaways emphasize separating load and latency measurement streams, enforcing resource guarantees, and prioritizing reproducibility over raw benchmark numbers. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Benchmark Red Hat Data Grid in OpenShift 4 using Hyperfoil](https://daily.dev/posts/benchmark-red-hat-data-grid-in-openshift-4-using-hyperfoil-bdvuu3wdu) · Red Hat Developer · 0 upvotes · 0 comments - [Building a reliable cloud native foundation for distributed AI training](https://daily.dev/posts/building-a-reliable-cloud-native-foundation-for-distributed-ai-training-pwun78uwc) · CNCF · 1 upvotes · 0 comments - [iSCSI vs. NVMe/TCP: The ultimate storage showdown for Red Hat OpenShift Virtualization](https://daily.dev/posts/iscsi-vs-nvme-tcp-the-ultimate-storage-showdown-for-red-hat-openshift-virtualization-chlfm9pk4) · Red Hat Developer · 0 upvotes · 0 comments - [Network performance in distributed training](https://daily.dev/posts/network-performance-in-distributed-training-f2cvwbf5i) · Red Hat Developer · 1 upvotes · 0 comments - [Trilio Extends Disaster Recovery Reach to Red Hat OpenShift Virtualization](https://daily.dev/posts/trilio-extends-disaster-recovery-reach-to-red-hat-openshift-virtualization-75i6xwup8) · Container Journal · 0 upvotes · 0 comments --- Tags: [#openshift](https://daily.dev/tags/openshift) [View this post on daily.dev](https://daily.dev/posts/build-deterministic-openshift-dataplane-performance-with-trex-1sfwesx4a) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Build deterministic OpenShift dataplane performance with TRex","url":"https://daily.dev/posts/build-deterministic-openshift-dataplane-performance-with-trex-1sfwesx4a","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/build-deterministic-openshift-dataplane-performance-with-trex-1sfwesx4a"},"datePublished":"2026-04-16T07:27:16.312Z","dateModified":"2026-04-16T07:28:50.168Z","description":"A detailed methodology for achieving deterministic, latency-stable dataplane performance for DPDK workloads on bare-metal Red Hat OpenShift. 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