s3fuse | Amazon S3 and Google Storage | File Utils library
kandi X-RAY | s3fuse Summary
kandi X-RAY | s3fuse Summary
s3fuse is a FUSE (Filesystem in Userspace) driver for Amazon S3 and Google Storage.
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QUESTION
What is the best practice for mounting an S3 container inside a docker image that will be using as a ClearML agent? I can think of 3 solutions, but have been unable to get any to work currently:
- Use prefabbed configuration in ClearML, specifically CLEARML_AGENT_K8S_HOST_MOUNT. For this to work, the S3 bucket would be mounted separately on the host using rclone and then remapped into docker. This appears to only apply to Kubernetes and not Docker - and therefore would not work.
- Mount using s3fuse as specified here. The issue is will it work with the S3 bucket secret stored in ClearML browser sessions? This would also appear to be complicated and require custom docker images, not to mention running the docker image as --privileged or similar.
- Pass arguments to docker using "docker_args and docker_bash_setup_script arguments to Task.create()" as specified in the 1.0 release notes. This would be similar to (1), but the arguments would be for bind-mounting the volume. I do not see much documentation or examples on how this new feature may be used for this end.
ANSWER
Answered 2021-May-12 at 04:32i would recommend you to check out the Storage gateway S3 behind the gateway you can use the NFS, EFS or S3 bucket.
Read more at : https://aws.amazon.com/storagegateway/?whats-new-cards.sort-by=item.additionalFields.postDateTime&whats-new-cards.sort-order=desc
There are multiple ways you can do this. You can also use the CSI driver to connect the S3 also.
https://github.com/ctrox/csi-s3
rclone is nice option if you can use it, which will sync data to the POD host system in that if large files are there it might take time due to file size and network latecy.
Personal suggestion S3 is object storage so if you are looking forward to do file operations like writing the file or zip file it might take time to do operation based on my personal experience.
Remember that s3 is NOT a file system, but an object store - while mounting IS an incredibly useful capability - I wouldn't leverage anything more than file read or create - don't try to append a file, don't try to use file system trickery
If that the case I would recommend using the NFS or SSD to the container.
while if we look for s3fs-fuse it has own benefit of multipart upload and MD5 & local caching etc.
The easiest way you can write your own script which will sync to the local directory with the directory of S3 bucket over HTTP or else Storage gateway S3 is good option.
Amazon S3 File Gateway provides a seamless way to connect to the cloud in order to store application data files and backup images as durable objects in Amazon S3 cloud storage. Amazon S3 File Gateway offers SMB or NFS-based access to data in Amazon S3 with local caching.
QUESTION
I need to provide an alternative solution for AWS EFS as the service is not available in our region. I can provide performance requirements if that determines the recommended solution although I've read the following page and s3fuse is apparently a possible solution.
Has anyone used this in production and with what limitations have you experienced?
https://www.reddit.com/r/aws/comments/5g786x/any_alternative_solutions_of_aws_efs/
The solution would need to support around 1000 new documents/ minute with the document size 4-8mb
...ANSWER
Answered 2018-Dec-06 at 12:50You can use s3fuse as a solution for shared file system for use case with multiple reads and infrequent writes. AWS has a private link between vpc to s3. So you can access the object store within a low latency network instead of accessing it via an external internet gateway.
There are some limitations that are not addressed yet..
performance benchmarks for reference..
If you need a reliable shared storage file system, you can set up NFS cluster with high availability. It can setup with minimum 2 nodes.
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