Observability of team health: Deciphering and reacting to organizational feedback (sponsored by NS1)

Engineering managers build the strongest teams by listening to their engineers, continuously calibrating their own alerts, and driving change management based on the feedback sourced from within their engineering organization. Renee Orser explains how to monitor the human networks within your engineering teams using models similar to your distributed technology systems.

Engineering teams are the hearts of our organizations, but how do we measure their health and how effectively they function? There’s the obvious bottom-line data: outputs like product delivery velocity, code quality, and stability of production systems. But consider the way we monitor the statuses of our distributed networks. We design our systems to alert us to various severities, spot issue trends, and trigger actions. We aim to preempt incidents and mitigate impact of change. As managers, the feedback we receive and behaviors we observe allow us to build up and calibrate our own versions of alerts. We source root causes of problems and pivot our plans to redirect and galvanize our engineering efforts. The engineers on our teams are inherent sources of truth. Our best managers read their teams, and our best engineers share insights from the front lines. Renee Orser explains how to monitor the human networks within your engineering teams using models similar to your distributed technology systems as she walks you through how NS1 monitors and alerts on stresses and constraints within its distributed and dynamic engineering organization. This keynote is sponsored by NS1.