recently AWS released a file system client for S3 called AWS mountpointallows you to mount a remote S3 bucket as a local file system translating file operations like read and write into S3 API calls like get and put today mountpoint supports Reading Writing and listing files it does not support modifying existing files deleting directories symbolic links or file locking for more information on mountpoint check out the AWS documentation storage grid 11.9 offers full support for AWS mountpoint in this demo I'll be setting up mountpoint to access a storage grid bucket as a local file system starting from the storage grid 11.9 tenant manager I've created this demo bucket called mountpoint demo and uploaded some images here we have four jpegs Grand Canyon Joshua Tree Yos and Zion now let's Mount this bucket on a Linux host for file system access now I'm on my auntu server with the AWS mount Point package installed here I have two images I'd like to upload to my storage grid bucket Glacier and Acadia I also want the images already on the bucket locally accessible using AWS mountpoint we can easily Mount My Demo bucket for file system access this command will Mount the mountain Point demo bucket in the S3 bucket directory since I'm using a storage grid load bouncer I need to specify the m point here now the bucket is mounted Let's do an LS to see the contents we can see my four Images here and now we can use Simple commands to copy the new images into the bucket and the old images out of the bucket so now we can see all six images are uploaded to the S3 bucket now coming back to the tenant manager on storage grid we can see the new images have been uploaded to the bucket all six images are available on storage grid AWS mountpoint is best for large scale read heavy applications that need file access it's also great for simple and easy access to storage grid buckets for developers and smaller scale applications mountpoint offers high performance file system access to S3 data providing another tool to help stores customers get the most value out of their data thank you for watching