Software Engineering Daily – Data
Airbnb’s Open-Source GraphQL Framework with Adam Miskiewicz
Why It Matters
A unified data graph like Viaduct offers a blueprint for organizations struggling with fragmented microservice ecosystems, promising faster feature delivery and lower maintenance costs. As AI tools begin to generate and consume data at scale, having a consistent, high‑performance backend layer becomes critical for building reliable, future‑proof applications.
AI Summary
In this episode, Adam Miskiewicz, Principal Software Engineer at Airbnb, explains how the company built Viaduct, an open‑source data‑oriented service mesh and GraphQL platform that unifies a central schema across millions of microservices. He details the architectural principles—centralized schema, consistent execution layer, and performance‑first design—that allowed Airbnb to scale to tens of millions of queries per second while reducing duplicated logic and operational overhead. The conversation also covers the motivations for open‑sourcing Viaduct, the challenges of maintaining reliability at scale, and how unified data graphs could shape backend development in an increasingly AI‑driven world.
Episode Description
Engineering teams often build microservices as their systems grow, but over time this can lead to a fragmented ecosystem with scattered data access patterns, duplicated business logic, and an uneven developer experience. A unified data graph with a consistent execution layer helps address these challenges by centralizing schema, simplifying how teams compose functionality, and reducing
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