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Open Source

GoDaddy machine learning team presents Expanded Interval Minimization (EIM), a novel loss function to generate prediction intervals using neural networks. Prediction intervals are a valuable way of quantifying uncertainty in regression problems. Good prediction intervals should contain the actual value and have a small mean width of the bounds. We compare EIM to three published techniques and show EIM produces on average 1.37x tighter prediction intervals and in the worst case 1.06x tighter intervals across two large real-world datasets and varying coverage levels.

By Ying Yin Ting By Jason Ansel

The DNS Team explored the possibility of using a software-based router instead of a hardware router. This post examines the reasons for using a software-based router with Kernel-Bypass Networking.

By Benjamin Bowen

In March of 2018, GoDaddy and AWS announced a multi-year transition plan to migrate the majority of GoDaddy's infrastructure to AWS. This required a new approach to security because we could no longer rely on the same on-premise tools and infrastructure to secure a cloud environment. To address this, we developed a serverless containerized framework on AWS to continuously detect and track security issues.

By Greg Bailey By Aarushi Goel