Containers are everywhere — but most “Kubernetes performance” debates are still built on assumptions: bare metal must be faster, virtualization adds too much overhead, platform choice doesn’t change the latency curve, Kubernetes is Kubernetes. In this Architect’s Edge Live session, we’re going beyond the myths with real workload data and real infrastructure outcomes.

Join Christopher Kusek, Bryan Sullins, and Christopher Catano for a performance deep dive that anchors on a recent Principled Technologies study comparing VKS on VMware Cloud Foundation (VCF) against OpenShift (including bare metal and on-VCF scenarios).

We’ll unpack what actually changes under load and at scale—with a focus on the metrics architects and platform teams get held accountable for: throughput, latency behavior, and headroom.

We’ll translate the findings from Kafka (throughput + latency under scale) and PostgreSQL OLTP (HammerDB-style throughput + latency) into practical architecture guidance you can use immediately: how to structure a PoC, where bottlenecks show up first, how to set “acceptable latency” thresholds, and what these results imply for modern container platforms running real enterprise workloads.

Expect a high-signal discussion, study review, technical context, and a live panel Q&A on VKS, OpenShift, VCF, and modern Kubernetes platform design.

For details on the study and an analysis of its findings you can find it here on the Architect's Edge Insight: Kubernetes Performance Measured: VKS on VCF vs OpenShift

Features Speakers: