Descriptive to Prescriptive Analytics and Beyond for Developer Productivity
Topic Time & Date: TBD
Developer productivity teams make the most impact by presenting the right insights to the right people at the right time. Now in the trenches of development, developer pain is often obvious and acute. But at the mile-high view of the executive level, understanding bottlenecks and priorities conjures the imagery of a crystal ball. See how the Developer Insights team integrated subjective and objective telemetry sources into analytics presented through a single pane of glass to all levels. At LinkedIn, development occurs in an ecosystem, and many kingdoms of biological diversity exist: backend, frontend, mobile, and more. Each of these kingdoms has patterns and nuances that no single team can understand. Moving through the four kinds of analytics: descriptive, diagnostic, predictive, and prescriptive, the Developer Insights team is now looking beyond. As LinkedIn continues to scale, the team is turning to data science and AI models for analytics and services.
Grant Jenks is a technical leader with 15 years of experience in turning research and product ideas into high performance software. For the last three years, he has worked at LinkedIn in the Developer Productivity and Happiness organization on the Developer Insights team. Developer Insights works like a “Fitbit for engineering teams” to identify and improve pain points in developer workflows. Prior to LinkedIn, Grant founded an adtech analytics company and applied expertise in distributed systems and machine learning to predicting search engine rankings. His work in analytics was a pivot from his initial role as a compiler engineer on the Midori OS research and incubation project at Microsoft.