Network Stats for Q2 2026: All Eyes on Neocloud Traffic Variance

What this post added

Introduced a new methodology for analyzing network traffic variance by building a time-series dataset and modeling traffic behavior against statistical baselines. Utilized SciPy for statistical analysis to generate variance signals. Presented new analysis on traffic variance, focusing on the impact of neocloud and hyperscaler traffic, and its implications for network architecture and capacity planning. Updated existing charts with Q2 2026 data and introduced new heatmaps for magnitude and uniqueness metrics.