An extensive guide to upload files and retrieve the public url after upload, update and delete a file from AWS S3 Bucket.
Read Article : AWS S3 File Upload With NodeJs and React
An extensive guide to upload files and retrieve the public url after upload, update and delete a file from AWS S3 Bucket.
Read Article : AWS S3 File Upload With NodeJs and React
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Top comments (2)
Node + React + S3 is the right stack for app-side uploads. The piece I'd add: from a Windows admin side, the question is 'how do I actually look at what the app has uploaded'. Three patterns that close that gap:
Single-file upload via SDK is fine for prototypes but the moment you need to migrate 50M objects, re-encrypt a million, or fix metadata on billions of rows, single-PUT is the wrong tool. S3 Batch Operations is the answer and most teams underuse it:
S3 Inventory is the prerequisite — Batch Ops reads from a CSV manifest that S3 Inventory generates daily or weekly. Plan for the inventory delay; if you need to act on today's data, use 'list-and-execute' mode and accept the higher per-object cost.
Per-job failure tracking — every Batch Ops job writes a completion report to a prefix you specify. Parse it programmatically; do not eyeball it. We set up a Lambda on s3:TestEvent + ObjectCreated for the report bucket.
IAM role, not user — Batch Ops assumes an IAM role to perform each object operation. The role's policy must allow s3:GetObject on the manifest bucket AND the target bucket. Easy to miss when the manifest bucket is in a different account.
Cost reality — Batch Ops charges per object operated, plus the underlying operation cost. For 'S3 Copy' jobs that touch terabytes, the bill can exceed $10K. Always run the inventory report first to size the job before kicking it off.
For ops on Windows who want to see Batch Operations reports in Explorer: ScsDriver