rate_limiting: algorithm: "adaptive" max_concurrent_uploads: 100 queue_wait_timeout: "30s" backpressure_threshold: 0.75 # 75% CPU usage triggers backpressure A misconfigured fileupload gunner project new can become an attack vector. Follow these non-negotiable rules: 1. Never Trust File Extensions Always perform MIME sniffing on the file's first 512 bytes. Gunner projects include a magic_number validator:
go run github.com/gunner-labs/fileupload@latest project new --output ./my-project Upon success, you will see a directory structure like this: fileupload gunner project new
// Client-side (JavaScript) const uploader = new GunnerUploader( projectId: "my-upload-service", chunkSize: 5 * 1024 * 1024, parallelChunks: 3 ); uploader.upload(file, onProgress: (percent) => console.log( $percent% ), onComplete: (etag) => console.log( Upload complete: $etag ) ); Gunner projects can integrate with ClamAV or similar antivirus engines natively. During project new , you can enable this with the --with-scan flag: Gunner projects include a magic_number validator: go run
Save this file and run the validation command: For CPU-bound scanning, reduce to 0
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 .