What was built
A bounded backoff strategy and queue watermarking were implemented in the renderer scheduler. Under fluctuating bandwidth, tasks retain ordering and commit checkpoints, preventing speculative duplication.
What was tested
Synthetic packet loss scenarios (2–18%) and latency spikes (80–350ms) across multi-region profiles. Scheduler determinism was verified via idempotent commit tracing and recovery simulations.
What was learned
Determinism persists with bounded jitter when watermarking is paired with conservative checkpointing. Aggressive parallelism reduces stability under loss—conservative concurrency yields fewer re-orders.
What is next
Extend the approach to document ingestion streams and image processing pipelines with consistent commit semantics.
Technical Context
This change aligns with the renderer’s evidence-driven execution model and supports long-term reliability targets.
This update reflects the current state of the Davzia AI platform and will evolve as development continues.