Tag: #docker

Run Watson NLP for Embed on your local computer with Docker

This blog post is about using the IBM Watson Natural Language Processing Library for Embed on your local computer with Docker. The IBM Watson Libraries for Embed are made for IBM Business Partners. Partners can get additional details about embeddable AI on the IBM Partner World page. If you are an IBM Business Partner you can get a free access to the IBM Watson Natural Language Processing Library for Embed. To get started with the libraries you can use the link Watson Natural Language Processing Library for Embed home. It is an awesome documentation and it is public available.

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Export a Keycloak realm by using the version 20.0.1

This blog post is about how export an example development realm using the Keycloak in version 20. I wanted to ensure that the export contains all information including users. You can find the relevant information in the Keycloak documentation ‘Exporting a realm to a file.’. I did some demo configurations in the new version and I can’t reuse my older exported examples from Keycloak.

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Add a conversion webhook to an operator to convert API versions

In that blog post we will add a webhook to our existing operator project Multi Tenancy Frontend Operator in the branch update-operator were we created the v2alpha2 API version for the operator in the last blog post "Add a new API version to an existing operator". The final implementation for the current blog post you find in the webhook-gen-operator branch. (details about conversion webhook) Yes, that... Continue Reading →

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Add a new API version to an existing operator

This is my next blog post related to operators. That blog post is about adding a new API version to our existing example Multi Tenancy Frontend Operator. When we have added the new API version we will deploy the changed operator to a Kubernetes cluster using the Operator Lifecycle Manager (OLM).

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