April 2026: Delivered end-to-end optimization improvements for the Rocket Fin Example by adopting the latest Tesseract, which reduces container overhead and enhances solver performance. Key changes include persisting bars_3d as a container and routing data via URL to avoid spawning a new container per iteration; serving design_tess via Tesseract.from_image with explicit network wiring; expanding the Neumann BC mask to cover all end-nodes; swapping the solver from umfpack to PETSc LU to fix NaNs. Upgraded core dependencies to tesseract-core 1.6.0, unpinned PyVista to resolve Python 3.11 wheel incompatibilities, and integrated tqdm into the optimization loop. Adjusted configuration (tesseract_config.yaml) to target_platform native to reduce QEMU overhead on Apple Silicon. Comprehensive manual notebook validation completed; results show improved stability and reproducibility, setting the stage for production-grade runs.