Airbnb Engineering

Airbnb EngineeringJun 24, 2025

Understanding and Improving SwiftUI Performance

Why it matters: This article provides crucial insights into SwiftUI's underlying performance characteristics, especially its view diffing mechanism. Understanding these nuances and implementing strategies like custom Equatable conformance is vital for building high-performance and scalable mobile applications.

Airbnb adopted SwiftUI for increased developer productivity but encountered significant performance challenges, particularly with unnecessary view re-evaluations.
SwiftUI's default reflection-based diffing algorithm often fails to efficiently compare properties like closures or certain reference types, leading to excessive view body re-evaluations.
Integrating SwiftUI with existing unidirectional data flow libraries that use closure-based action handlers exacerbated performance issues, as closures are not reliably diffable by SwiftUI.
Explicitly conforming SwiftUI views to the Equatable protocol allows developers to precisely control which property changes trigger a view update, bypassing the default, often inefficient, diffing.
While effective, manual Equatable conformance introduces boilerplate code and is prone to errors and maintenance challenges in large-scale applications.

#mobile

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Airbnb EngineeringJun 9, 2025

Load Testing with Impulse at Airbnb

Why it matters: This framework helps engineers proactively identify bottlenecks, evaluate capacity, and ensure system reliability through robust, decentralized, and automated load testing integrated with CI/CD.

Airbnb's Impulse is a decentralized load-testing-as-a-service framework for robust system performance evaluation.
It features a context-aware load generator, an out-of-process dependency mocker, a traffic collector, and a testing API generator.
The load generator uses Java/Kotlin for flexible test logic, containerized for isolation, scalability, and cost-efficiency.
The dependency mocker enables selective stubbing of HTTP, Thrift, and GraphQL dependencies with configurable latency, isolating the SUT.
Impulse integrates with CI/CD for automated testing across warm-up, steady-state, and peak phases, using synthetic or collected traffic.
Its architecture empowers self-service load tests, minimizing manual effort and enhancing proactive issue detection.

#sre #dist

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