Batch Processing with Burst

The Problem

Batch processing jobs are resource-intensive and time-consuming:

• Processing thousands of images ties up your local machine
• Video transcoding can take hours
• Large dataset operations need dedicated compute
• Lambda timeouts at 15 minutes — not enough for real batch work

You need compute that can run for hours without babysitting.

How Burst Solves It

Submit your batch job and let it run in an isolated VM. Process thousands of files while you do other things.

Check back to see progress or wait for completion:

Why Burst for Batch Processing

• No timeout limits — Process for minutes or hours
• Full VM resources — CPU, memory, disk space as needed
• Isolated execution — Each job gets its own environment
• Fire and forget — Submit and walk away
• Any language — Python, shell scripts, whatever you need

Use Cases

• Image processing — Resize, convert, or apply filters to thousands of images
• Video transcoding — Convert video formats, extract frames, generate thumbnails
• PDF generation — Generate reports, invoices, or documents in bulk
• Data transformation — Parse, clean, and transform large datasets
• File conversion — Convert between formats at scale

Comparison