Experienced architect and software engineer with history of designing, building, and maintaining complex distributed systems in a polygot environment and extracting real-time signals and results from large data-sets. Develop tools to deploy, test, scale, and troubleshoot micro services across multiple datacenters and on premise installation. PhD from Purdue University in statistical optics providing a robust background for dealing with large complicated datasets requiring custom algorithms and machine learning to extract deep, insightful, and nuanced results.
Navigating the Testing Spectrum: Balancing Code Quality and Observability in Go Programming
In this presentation, we'll explore how to find the right balance of code quality, testing, and observability. Whether you're dealing with new projects, modifying legacy code, or honing your testing strategies and how to balance those needs against the business' need of delivering reliable code quickly.