Descriptive to Prescriptive Analytics and Beyond for Developer Productivity
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.
Shailesh Jannu is a hands-on technology leader with more than 20 years of experience in engineering, architecture, product management and product development. He has a passion for developing solutions using AI, Machine learning, IOT and Big Data. Expertise in building and shipping multiple releases of world-class enterprise software- applications, platform, middleware and infrastructure components for top enterprises in the world.