Runway Queue-to-Asset Performance Tuning

Overview

End-to-end latency is a sequence of distinct phases: local admission, upload, provider queue, generation, output download, and owned storage. Optimize the measured bottleneck while preserving model quality, moderation, quota, and cost constraints.

Prerequisites

• An SLO with percentile, modality, model, duration, and quality dimensions
• Traceable operation and task state timestamps
• Current model, input, tier, and pricing evidence

Instructions

Step 1: Instrument the phases

Capture operation accepted, local queue start/end, upload start/end, provider create, each state transition, terminal state, download, validation, and storage completion. Use redacted IDs to join traces.

Step 2: Separate queue from generation