How SRE Teams Use Dependency Graphs to Predict Outages

In this episode of The Site Reliability Podcast, hosts Lucas and Luna explore how SRE teams at major tech companies build and maintain dependency graphs to predict cascading failures before they happen. Using concrete examples from cloud infrastructure and microservices architectures, they explain how graph-based service maps help teams identify single points of failure, model blast radius, and prioritize resilience investments. Lucas walks through a real-world case where a seemingly minor dependency change caused a multi-region outage at a large e-commerce platform, and discusses how post-incident graph analysis revealed the weak link. Luna shares how her team uses automated graph discovery tools to update dependency maps continuously, preventing stale data from misleading incident responders. The episode also touches on the trade-offs between graph granularity and maintainability, and how teams can start small with critical path diagrams before scaling to full service meshes. Whether you're an SRE veteran or new to production engineering, this episode offers a practical framework for turning service dependencies from a blame map into a predictive reliability tool. #SiteReliabilityEngineering #DependencyGraphs #OutagePrediction #Microservices #CloudInfrastructure #IncidentResponse #ServiceMaps #ResilienceEngineering #ChaosEngineering #BlastRadius #GraphTheory #ProductionEngineering #SRE #Technology #Podcast #FexingoBusiness #BusinessPodcast #Uptime Keep every episode free: buymeacoffee.com/fexingo