Memory management
The optimized build uses more conservative memory allocation and avoids keeping unused assets in RAM. Cache cleanup is triggered more actively, which helps reduce memory growth during long sessions.
Architecture
Technical optimization approach
Zynthora focuses on reducing unnecessary load, improving resource handling, and keeping the streaming pipeline stable.
Network handling
Buffer queues and packet processing are adjusted to reduce latency spikes. The client prioritizes time-sensitive stream data over non-critical background requests.
Rendering pipeline
UI rendering is simplified to reduce redraw overhead. Unnecessary visual effects and hidden panels are disabled by default to save GPU and CPU resources.
Background process reduction
Non-essential services, update checkers, and analytics modules are removed or disabled. This helps the client stay lightweight while running in the background.
Optimized pipeline
A simplified data path helps reduce delay and makes playback more predictable.
Input → Decode → Buffer Control → Render → Network Sync → Display
Before optimization
Heavy clients may load multiple background modules, cache large interface assets, and keep inactive services running. This increases startup time, RAM usage, and CPU load.
After optimization
Zynthora keeps only the components required for stable streaming, playback, and basic controls. The result is a smaller build with lower system impact.
Technical targets
| Area | Optimization target | Expected effect |
|---|---|---|
| Disk footprint | Remove unused libraries and assets | Smaller download and faster launch |
| RAM usage | Reduce cache size and unused modules | Lower memory pressure |
| CPU usage | Disable redundant background tasks | More stable performance |
| Latency | Prioritize stream packets | Smoother playback |
| Portability | Run from a local folder | Easier testing and deployment |