May I know where to set the cert to in env variable?

@<1523701435869433856:profile|SmugDolphin23> Hello, again! I tried to fill the values by your example. Still no luck. I noticed console log on my task says that I have certificate error. I disabled it in api section in clearml.conf like this: verify_certificate = false and I still have SSL error. Any clues why would that be?

@<1526734383564722176:profile|BoredBat47> Yeah. This is an example:

 s3 {
            key: "mykey"
            secret: "mysecret"
            region: "us-east-1"
            credentials: [
                 {
                     bucket: "

"
                     key: "mykey"
                     secret: "mysecret"
                    region: "us-east-1"
                  },
            ]
}
# some other config
default_output_uri: "

"

@<1523701435869433856:profile|SmugDolphin23> I actually don't know where to get my region for the creds to S3 I am using. From what I figured, I have to plug in my sk, ak and bucket into credentials in agent and output URI must be my S3 endpoint — complete URI with protocol. Is it correct?

I meant the code where you upload an artifact, sorry

@<1523701087100473344:profile|SuccessfulKoala55> I figured where to find a region but we don't have an AWS dashboard. We have a custom S3 solution for our own enterprise servers like many companies do, data is not stored on amazon servers. That is why we have and endpoint which is an URL starting with http:// If I would connect to our bucket via boto3 I would pass endpoint to a client session with endpoint_url

@<1523701435869433856:profile|SmugDolphin23> I didn't use a region at first and that was not working. Now I use a region and it still doesn't work.
From the boto3 inside a Python I could create a session where I specify ak and sk, and create a client from the session where I pass service_name and endpoint_url. It works just fine

How can you have a certificate error if you're using S3? I'm sure their certificate is OK...

And I believe that by default we send artifacts to the clearml server if not specified

The code is run from another machine where clearml.conf configured to connect to ClearML server, no other configurations are provided

@<1523701087100473344:profile|SuccessfulKoala55> Hey, Jake, getting back to you. I couldn't be able to resolve my issue. I can access my bucket by any means just fine, e.g. by S3 CLI client. All the tools I use require 4 params: AK, SK, endpoint, bucket. I wonder why ClearML doesn't have explicit endpoint parameter and you have to use output_uri for it and why is there a region when other tools don't require it.

SmugDolphin23 Got it. Now I am a bit confused about region parameter in s3 section. Amazon docs say that region could be a regular URL with protocol like https://etc.etc which my endpoint actually is. I plugged it in s3 section in clearml.conf. Should it stay that way?

SmugDolphin23 Thank you very much!
That's clearml.conf for ClearML end users right?

SmugDolphin23 I added a region, run experiment again. Didn't work

it's the same file you added your s3 creds to

The S3 endpoint

SmugDolphin23

@<1526734383564722176:profile|BoredBat47> Just to check if u need to do update-ca-certificates or equivalent?

The only expection is the models if I'm not mistaken, which are stored locally by default.

@<1523701304709353472:profile|OddShrimp85> I haven't done it, for me it worked as-is

it's pretty much the same

` s3 {
# S3 credentials, used for read/write access by various SDK elements

        # default, used for any bucket not specified below
        key: "mykey"
        secret: "mysecret"
        region: " ` ` "

        credentials: [

             {
                 bucket: "mybucket"
                 key: "mykey"
                 secret: "mysecret"
                 region: " ` ` "
              }, `

You need to specify it. Or you could specify this in your config: https://github.com/allegroai/clearml/blob/54c601eea2f9981bb8e360a8203bc36696a55cfd/clearml/config/default/sdk.conf#L164

@<1523701087100473344:profile|SuccessfulKoala55> Could you provide a sample of how to properly fill all the necessary config values to make S3 work, please?
My endpoint starts with https:// and I don't know what my region is, endpoint URL doesn't contain it.
Right now I fill it like this:

aws.s3.key = <access-key>
aws.s3.secret = <secret-key>
aws.s3.region = <blank>
aws.s3.credentials.0.bucket = <just_bucket_name>
aws.s3.credentials.0.key = <access-key>
aws.s3.credentials.0.secret = <secret-key>
sdk.development.default_output_uri = <

>

Yeah, that's always the case with complex systems 😕

SmugDolphin23 Sorry to bother again, output_uri should be a URI to S3 endpoint or clear ml fileserver? If it's not provided artifacts are stored locally, right?

Oh, it's configured o agent machine, got you

Can you share a snippet?

Could you try adding region under credentials as well?

OK. Bt the way, you can find the region from the AWS dashabord