How One Team Cut GraphQL Latency with Persisted Queries
from The Software Engineering Podcast with Fexingo: Code, Architecture, and Engineering Best Practices Hosted by Fexingo
In this episode, Lucas and Luna explore how a fintech team slashed GraphQL response times by 60 percent using persisted queries and a smarter caching layer. They break down the difference between standard query hashing and true persisted queries, walk through a concrete example of a mobile app that went from 400 milliseconds to 160 milliseconds on a 4G connection, and discuss the trade-offs around cache invalidation, security, and client complexity. Along the way, they touch on how the team handled schema changes and rollout, and why this approach might be more relevant than ever as APIs grow in complexity. If you've ever wondered whether persisted queries are worth the engineering effort, this episode gives you a clear framework to decide. #GraphQL #PersistedQueries #APIDesign #LatencyOptimization #Caching #Fintech #WebPerformance #MobileDevelopment #DeveloperTools #TechPodcast #SoftwareEngineering #BackendDevelopment #API #PerformanceTuning #Technology #FexingoBusiness #BusinessPodcast #EngineeringBestPractices Keep every episode free: buymeacoffee.com/fexingo
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