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# Optimizing Your App for Success: Tips and Techniques for managing slow devices

Are cheap smart home gateways causing high app abandonment? Discover how to use asynchronous Golang microservices and React Native caching to seamlessly mask hardware latency.

- **Speakers:** [Milica Aleksic](https://www.wearedevelopers.com/@milica-aleksic), Nemanja Petrovic
- **Event:** World Congress 2023
- **Published:** August 11, 2023
- **Duration:** 25:15
- **URL:** https://www.wearedevelopers.com/videos/655-optimizing-your-app-for-success-tips-and-techniques-for-managing-slow-devices

## Summary

Building mobile applications to manage low-powered, notoriously slow smart home gateways presents unique architectural performance challenges. Because internet service providers deploy cheap consumer premises equipment, attempts to communicate via standard Auto Configuration Servers (ACS) using the TR-181 protocol often result in unstable, high-latency HTTP queries. Without active mitigation, this sluggish hardware responsiveness directly causes poor user experience and high app abandonment rates. To solve this, development teams must shift from traditional synchronous calls to non-blocking microservices architectures, leveraging languages like Golang for efficient coroutine-based asynchronous communication and implementing robust retry policies to gracefully handle hardware lockups.

Mitigating slow device speeds requires a rigorous approach to data caching across the entire tech stack. On the backend, routing queries to a cached MongoDB layer using direct read commands rather than fetching live router states significantly reduces latency. By defining strict time-to-live policies based on data volatility—querying static configurations like firmware versions from the database while only repeatedly fetching real-time connected device lists—servers can offload stress from the gateway hardware. Transitioning to an asynchronous microservices pattern enables seamless integration with multiple disparate ACS providers while scaling high-traffic endpoints dynamically based on user load.

On the React Native front-end, protecting slow routers from request overload requires intelligent request batching and aggressive state management. Integrating tools like Apollo Client or React Query establishes an in-memory cache and automatic data synchronization, effectively preventing redundant network requests from degrading network hardware. Because large mobile datasets can bottleneck client-side rendering, swapping out standard scrolling components for Shopify’s FlashList enables high-performance virtualization. Finally, maintaining the illusion of speed during network instability is achieved by utilizing react-native-mmkv for synchronous local storage, paired with high-performance animation libraries like Rive or Lottie to provide immediate visual feedback while heavy background operations execute.

**Keywords:** home gateway optimization, ACS server integration, TR-181 protocol challenges, asynchronous microservices architecture, backend caching strategies, non-blocking api communication, react native performance tuning, apollo client offline support, react query data fetching, react native mmkv storage, flashlist virtualized rendering, mobile ui bottlenecks, slow device mitigation, unstable connection state handling, lottie animation rendering

## Chapters

1. **Challenges of managing home gateways and poor app performance** (02:22) — Optimizing app performance is essential when interacting with slow and unreliable home network hardware.
1. **Understanding home gateway communication protocols and server configuration** (03:53) — Modems and routers utilize auto-configuration servers to communicate via automated management commands.
1. **Implementing retry policies to stabilize communication with underpowered devices** (08:00) — Polling underpowered gateways with remote requests requires robust retry policies to prevent application errors.
1. **Speeding up backend communication using caching and asynchronous operations** (09:15) — Deploying non-blocking operations and multi-level database caches mitigates delays when communicating with remote configuration servers.
1. **Structuring scalable backend architectures using tailored microservices and routing** (12:02) — Segmenting traffic loads into independent microservices allows engineering teams to allocate robust languages to complex networking tasks.
1. **Managing cross-platform mobile application performance and local state caching** (13:39) — Deploying intelligent client caching packages reduces redundant network loads and speeds up frontend data fetching.
1. **Optimizing long views with virtualized lists for smooth scrolling** (17:13) — Replacing standard scroll views with virtualized list frameworks prevents performance drops and rendering lag as data scales.
1. **Ensuring uninterrupted mobile access using local storage and offline support** (19:50) — Tracking network connection states and caching state locally ensures a resilient user experience during unexpected outages.
1. **Achieving smooth interface animations using native drivers and specialized libraries** (21:31) — Delegating animation execution to native visual drivers and specialized rendering libraries maintains high frame rates during complex transitions.
1. **Identifying system bottlenecks for comprehensive application performance optimization** (24:04) — Successfully resolving slow device connections requires pinpointing backend communication bottlenecks alongside mobile interface rendering flaws.

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