How One Engineer Visualised Dependency Graphs to Fix Inefficient Microservices
from The Software Engineering Podcast with Fexingo: Code, Architecture, and Engineering Best Practices Hosted by Fexingo
In this episode of The Software Engineering Podcast, Lucas and Luna explore how a single engineer at a mid-sized fintech company used dependency graph visualisation to untangle a microservices architecture that had become a tangled ball of circular dependencies, hidden cross-service calls, and unpredictable latency spikes. By mapping every inter-service interaction into a directed acyclic graph, the engineer identified the eight worst offending services responsible for 60 percent of all cascading failures. The fix involved breaking cycles, introducing asynchronous event buses, and deprecating 12 redundant services over three months. The result: latency dropped 45 percent, and on-call incidents fell by two-thirds. Lucas and Luna discuss the tooling choices — including the forgotten power of Graphviz and D3.js — and why most teams skip this kind of visual analysis until it's too late. They also touch on the psychological barrier of 'we already know our architecture' and why a fresh pair of eyes with a graphing library can uncover what months of monitoring dashboards miss. #DependencyGraph #Microservices #ArchitectureVisualisation #Graphviz #D3js #CircularDependencies #LatencyReduction #EngineeringBestPractices #SoftwareEngineering #Technology #FexingoBusiness #BusinessPodcast #Fintech #IncidentReduction #AsyncEvents #ServiceDeprecation #CascadingFailures #CodeArchitecture Keep every episode free: buymeacoffee.com/fexingo
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