Speakers:
• Jason Schatz, Principal Software Development Engineer, CodeLogic
• Rob Vrooman, Principal Software Development Engineer, CodeLogic
Session type: Full Length Session
Abstract: Making informed development decisions requires a strong understanding of the connections and complexity within and across your application landscape. With software changing faster than ever, and dozens of applications to manage within a single enterprise, it is often difficult to have a clear view of how everything fits together. CodeLogic equips engineers with the most comprehensive software dependency data available, combining binary and runtime scanning to create a complete graph of an application’s structure. In this session, you will learn how CodeLogic utilizes Neo4j and CypherQL to capture and analyze data achieved through application profiling, and how their data model visually mimics the source code itself. Jason Schatz (Principal Software Development Engineer, CodeLogic) and Rob Vrooman (Principal Software Development Engineer, CodeLogic) team up to discuss how moving from a relational database to a Neo4j graph database gave them the ability to visualize and distill complex codebases quickly. Attendees will learn a rare use case for graph and see how the CodeLogic backend models data into simplified maps that can be easily analyzed to identify cross-application dependencies, navigate code change impact, and ultimately reveal the bigger picture.