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The S3 explorer that works like a file browser. Our web client makes it easy to browse, explore, upload files into your bucket but also downloads files, rename or delete them or just act as an S3 viewer, all from the web interface! An S3 viewer and a document editor. AWS. Security. Multi-part Upload. S3. Cloudfront. cdn. Performance. Large file uploads ( 5GB). STS. Temporary Tokens. AWS JS SDK Secure, fast uploads for large files directly from browser to s3 By Aameer Rafiq Wani February 18, 2018 Comment Permalink Like Tweet +1. S3 Browser will help you organize your Amazon S3 buckets and files. Create public URLs to share the files. Upload and download files to and from Amazon S3. Keep your files backed up on a multiple.

Uploading files to S3 directly from the browser is a great way to increase performance by removing the need to process and then re-upload files from your own server.

Note: In this post we'll be examining the use of pre-signed POST requests. See pre-signed URLs as an alternative (less powerful) method.

Overview

A traditional approach to file uploading would typically involve the client making a POST request to an endpoint on your API server. Your API server would then be responsible for processing the handling of the transfer of the file itself, and any subsequent processing you might want to perform (image resizing/thumbnail generation etc).

There's certainly nothing wrong with this approach, however these days many people opt to use third party storage solutions, like S3, to avoid having to implement a scalable storage solution of their own. Great, right? This now means your API server has to transfer the file(s) to S3 and incur additional resource costs.

What if you could avoid these resource costs, think RAM, CPU, bandwidth in and out, etc by having your client upload directly to S3? Enter pre-signed POST requests!

Pre-signed POST requests allow the client to upload directly to S3, bypassing your server entirely. Your API server is only tasked with generating the pre-signed POST request and providing it to the client, no file handling at all! As you can imagine, this frees up significant resources which can then be utilized for handling additional API requests.

You might be wondering how we can perform any additional processes, like thumbnail generation for example, if we never actually get our hands on the file. This is where lambda functions come in handy!

Although outside the scope of this particular post, I will look to address post upload processing with lambda functions in a future post!

Process summary

  1. The client makes a request to an endpoint which responds with a URL and pre-signed post data.
  2. The client then uses the provided URL and pre-signed POST data to form a request containing the file to be uploaded directly to S3.

Now that we've gone over the benefits of utilizing pre-signed POST requests over the traditional approach, let's dive in further and take a look at how to implement them!

S3 bucket CORS

Assuming you already have an S3 bucket you'd like to upload your files to, the next step is to modify the bucket's CORS configuration to allow POST requests.

Once that's done it's time to create our pre-signed POST request!

Creating the pre-signed POST request

An endpoint on your server that's accessible to the client would contain code similar to the following:

Specific conditions may be specified to add validation to the request. In this case, we verify that the file size is less than 100000000 bytes and that the content-type of the file begins with 'image/'.

It's also worth noting that additional custom meta information can be specified. Here we specify the user id of the person uploading the file which would be useful in post upload processing when we need to associate the file with the uploader.

The result of createPresignedPost would look something like the following:

Uploading the file to S3

Once we've written the code to create a pre-signed POST request, it's time to create the request itself and upload the file to S3!

We use FormData to build out the POST request, appending all the necessary fields that were specified in our code to create the pre-signed POST request. We then append all the fields provided by the pre-signed POST request response and lastly, we append the file itself.

Please note: the file must be the last field appended to the FormData.

Now that the form data has been prepared with all the necessary fields, all that's left to do is make the request! In this example we use the popular HTTP request library ky but any will do!

If all went to plan S3 should reply with a 204 and if not, it should reply with one of the following error codes instead.

Security Concerns

Pre-signed POST requests are secure by nature. The pre-signed POST request itself contains no sensitive information so there is no harm in allowing the client access to it. That being said, it's important to note that anyone with access to a valid pre-signed POST request can use it to upload directly to your S3 bucket!

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Be sure to only issue your pre-signed POST requests to trusted parties! It's important to protect your endpoint responsible for the request generation like you would any other secure endpoint on your API.

That's it!

I hope this post was helpful in getting a basic understanding of the process involved with uploading a file directly to S3 from the browser.

Utilizing this approach along with a lambda function to replace any file processing that would normally have been performed on your server makes for a really powerful combination.

What's next?

We'll look to create a lambda function to process the file once it's been uploaded to S3 and retrieve the meta data we passed along with it. Stay tuned!

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Browse with ease. Browse and move your files quickly in the browser with caching enabled for the best performance. Works with any character encoding for the correct display of Umlaute, Japanese and Chinese.

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Quickly preview files with Quick Look. Press the space key to preview files like in Finder.app without explicitly downloading.

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The outline view of the browser allows to browse large folder structures efficiently. Cut & paste or drag & drop files to organize. Adobe pdf 8 0 mac. Best presentation apps.

Transfer anything. Limit the number of concurrent transfers and filter files using a regular expression. Resume both interrupted download and uploads. Recursively transfer directories.

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Drag and drop to and from the browser to download and upload.

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Synchronize local with remote directories (and vice versa) and get a preview of affected files before any action is taken.

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