I created the IOT Application Enablement destination "ConfigurationAPI" as in Help portal.
I performed all the configurations until this step. The configuration I set is as follows
After checking the connection I am getting 404 not found error as
Any thoughts about this issue or any possible resolving steps?
The "check connection" is not really checking the connection end to end. Please don't let this distract you and carry on with the instructions.
The subaccounts NEO and CF using for the configuration should be under the same global account.
Related
I deleted my KF cluster last night to create a new one (using kubectl cluster command not Kfctl delete), and then when I tied to create a new one, it fails, it does not work with CLI not Console. I found other people have run into this issue before, for example (here and here)
"However, as I said even with CLI my deployment fails, the error from console is:
ailed to apply: (kubeflow.error): Code 500 with message: coordinator Apply failed for gcp: (kubeflow.error): Code 500 with message: gcp apply could not update deployment manager Error could not update storage-kubeflow.yaml; Insert deployment error: googleapi: Error 403: Request had insufficient authentication scopes.
More details:
Reason: insufficientPermissions, Message: Insufficient Permission"
and the error I get from Console is:
"Please enable APIs for your project and try again
Please enable cloud resource manager API: https://console.developers.google.com/apis/api/cloudresourcemanager.googleapis.com/ and iam API: https://console.developers.google.com/apis/api/iam.googleapis.com/"
Note that this error is wrong, all the apis are active already. I'm quite sure this is a bug of KF but not sure how to find a workaround, any thoughts?
With CLI, I'm using my own account which has "owner" privileges.
Thanks
It seems you have an issue with IAM and the installation of Kubeflow, a 3rd party product that itself is not supported by us; nevertheless I went ahead and dig some information about this Machine Learning product.
The main issues (and although it seems you already cover permissions) are permissions, number of projects and some fine grained points.
I was checking and found out the following things that may help
a) Troubleshooting Kubeflow 1
b) Deploying Kubeflow in GKE[2]
c) Kubleflow auto deployer for GKE[3]
There are also some discussion about a mismatch permissions setting in Kubeflow that may be worth reading [4]
Finally there is a group that, also on a best-effort basis due the nature of Kubeflow:"google-kubeflow-support#google.com" that may come in handy.
I trust this information will be useful for you to solve your issue
When I try to deploy an application from WEBIDE to an internal System, it is throwing an error:
"Request cannot be routed. The server has not found any Matching resource /sap/bc/adt/discovery".
The service /sap/bc/adt is active in SICF, cloud connector and Destinations have been configured Correctly.
make sure the values in the property WebIDEUsage in the destination are correct (first a in dev_abap looks strange).
Here you have all the possible values and the explanation
https://help.sap.com/viewer/825270ffffe74d9f988a0f0066ad59f0/Cloud/en-US/5c3debce758a470e8342161457fd6f70.html
dev_abap: for extensibility scenarios and developing or deploying to
SAPUI5 ABAP Repository (corresponds to URL path /sap/bc/adt)
Definitely some services are not activated in SICF, you should check them in detail.
I am new to the Google Vision API and I would like to conduct a label detection of approx. 10 images and I would like to run the vision quickstart.py file. However when I do this with only 3 images then it is successful. With more than 3 images I am getting the error message below. I know that I would need to change something at my setup, but I do not know what I should change.
Here is my error message:
google.gax.errors.RetryError: GaxError(Exception occurred in retry method
that was not classified as transient, caused by <_Rendezvous of RPC that
terminated with (StatusCode.RESOURCE_EXHAUSTED, Insufficient tokens for
quota 'DefaultGroup' and limit 'USER-100s' of service
'vision.googleapis.com' for consumer 'project_number: XXX'.)>)
Does anybody know what I need to do?
Any help would be much appreciated
Cheers,
Andi
I ran into the same problem and fixed it with these steps:
Make sure you have the Google Cloud SDK properly installed: https://cloud.google.com/vision/docs/reference/libraries
Setup a Service Account in the Google Cloud backend: https://developers.google.com/identity/protocols/OAuth2ServiceAccount#creatinganaccount
Create a Service Account Key and download it as a JSON file to a local folder. You need to keep the key private.
Export the filepath to the key-file as an environment variable: gcloud auth activate-service-account --key-file path/to/your/keyfile/here
Log out/in of the console.
Make sure, the environment variable is properly set with printenv
Try your py-script again...
Good luck...
Edit: In addition to the mentioned steps 1.-3. you can just do vision_client = vision.Client.from_service_account_json('/path/to/your/keyfile.json') in your script. No need for the env variable then.
This error is driving me nuts...
Situation:
I am trying to create a REST api and use a api-gateway proxy to access it. Proxy URL is HTTPS.
The deployment goes through fine. No errors reported in the logs. Worker assigned.
However when I try to access through browser get the "Uh-oh spaghettios! There's nothing here.".
Have tried all the usual things like making the https port dynamic using ${https.port} and using 0.0.0.0 instead of localhost in the http-listener config. But that does not help. Has this something to got to do with the proxy version ?
Any help or pointers will be great!
Make sure you follow Steps 2 from below link
Getting Started with Connectors
All,
Got the resolution. The problem was with the certificate chain. The keystore did not contain intermediate certificates. When added to the keystore the connectivity worked fine.
Only if Mulesoft provided correct errors or detailed logging, I would have saved lot of time over this.
Thanks for your inputs.
I've followed the procedure documented at "Adding new ways to share content"
...but keep getting an error:
Failed to preload gadget http://....
Detailed error: 400 Gadget is not trusted to render in this container. cre.iruntime:cre.iwidget.event:cre.wire:cre.iwidget:cre.iwidget.itemset:cre….ibm.connections.ee:ibm.connections.ee:container.nongadget:open-views.js:4
sharebox error http://i7.minus.com/ibiLz4SSWA5EL8.png
This looks like some sort of trust problem with external servers, but my other gadgets (embedded experience & home page gadgets) on the same external host are all working fine.
What have I missed out in the configuration?
OK, shamefully, it looks like I missed out swapping the security attribute whitelistEnabled="true" to whitelistEnabled="false" in:
/opt/IBM/WebSphere/AppServer/profiles/Dmgr01/config/cells/connectionswwCell01/LotusConnections-config/opensocial-config.xml
Here:
<security whitelistEnabled="false" featureAdminEnabled="true">
More details in this slide: How to add your own OpenSocial Gadgets to IBM Connections.
Of course, in a production system, you'll have to checkout the opensocial config using wsadmin.sh, edit, checkin & restart.