[REQUIRED] Step 2: Extension name

This feature request is for extension: storage-resize-images

What feature would you like to see?

Support for more scalable backfill processing. We're using DO_BACKFILL=true to resize ~600k images (JPG, PNG, etc) into multiple AVIF sizes (total ~200 GB), with the function continuously running for over a week. Initially we processed ~9 images/minute — now it's down to ~2/minute and continues to degrade.

It seems bottlenecked by the hardcoded maxResults: 3 in bucket.getFiles(), making throughput unmanageable at scale. We'd like:

• maxResults to be configurable
• Options to parallelize backfill (e.g. via Pub/Sub or task splitting)
• Optional progress tracking (so that we don't have to guesstimate against the log messages)

How would you use it?

One-time backfill of a large historical image set to generate multiple AVIF sizes. Current speed would take ~200 days to complete. We're running the extension with:

CONTENT_FILTER_LEVEL=OFF  
DELETE_ORIGINAL_FILE=false  
DO_BACKFILL=true  
firebaseextensions.v1beta.function/location=europe-west1  
FUNCTION_MEMORY=2048  
IMAGE_TYPE=avif  
IMG_SIZES=640x480,1200x800,1920x1280  
IS_ANIMATED=true  
MAKE_PUBLIC=true  
OUTPUT_OPTIONS={"avif":{"quality":100}}  
REGENERATE_TOKEN=false  
RESIZED_IMAGES_PATH=thumbnails  
SHARP_OPTIONS={"fit": "cover"}  

Would appreciate any improvements, and/or general scaling tips & best practices for improving throughput on large datasets.