Fileupload Gunner Project New Site

gunner benchmark --workers 4 --file-size 100MB --concurrent 50 Instead of writing to local temp storage, configure Gunner to stream chunks directly to S3 multipart uploads:

Save this file and run the validation command: fileupload gunner project new

grep temp_storage ./config/upload.yaml To achieve maximum performance from your fileupload gunner project new deployment, apply these optimizations: Tuning the Worker Pool Gunner’s default worker count equals your CPU cores. For I/O-bound uploads (network + disk), increase workers to 2x CPU cores . For CPU-bound scanning, reduce to 0.5x cores . const safeName = gunner

const safeName = gunner.sanitizeFilename(originalName); // Returns: "safe_file.txt" Set a hard deadline per upload in upload.yaml : When a client uploads a file in chunks,

Uploaded filenames can contain path traversal sequences ( ../../../etc/passwd ). Use Gunner's built-in sanitizer:

gunner validate --config ./config/upload.yaml 1. Automatic Chunk Reassembly One standout feature of the fileupload gunner project new architecture is its intelligent chunk reassembly. When a client uploads a file in chunks, Gunner temporarily stores each chunk in Redis with a TTL (time-to-live). Once all chunks are received, a background worker reassembles them in the correct order using a deterministic chunking algorithm.

fileupload gunner project new --name my-awesome-project --production-ready Happy (and safe) uploading! This article was last updated in May 2026. For the latest documentation, run gunner docs within any initialized project.