AI integration with OpenShift: Deploy and consume ready-to-use deep learning microservices on OpenShift

August 20, 2020

You can also log in at this URL if you already have an IBM Cloud account.

Step 2: Create a Visual Recognition Service https://cloud.ibm.com/catalog/services/visual-recognition

Select the Lite tier and click Create. Click Service Credentials on the left menu and note the apikey and url.
Open the IBM Cloud Shell by clicking in the upper-right of your IBM Cloud browser tab.
Call the service by copying the following URL curl -u "apikey:{apikey}" "{url}/v3/classify?url={image_url}&version=2018-03-19" and replace the apikey and url with your service credentials. Here is an example image_url to use: https://api.time.com/wp-content/uploads/2015/02/cats.jpg?quality=85&w=1024&h=512&crop=1

Now that we've created a cloud service, we'll see how easy it is to deploy our own microservice on a Red Hat OpenShift cluster.

Visit https://rhosai.mybluemix.net/ and enter the email address you used to sign up for IBM Cloud.
Enter the key oslab and hit submit.

Review the Red Hat OpenShift Workshop instructions: https://developer.ibm.com/tutorials/deploy-a-model-asset-exchange-microservice-on-red-hat-openshift/

Will the workshop be recorded? Yes, the workshop will be recorded and availalbe at the same URL on Crowdcast. It will take a few minutes to process at the end of the event, after which you'll be able to see it.
Is this cluster all mine? Depending on the number of participants, we may assign multiple people to each cluster, so please don't upload any personal information or protected code.