In IBM Cloud Code Engine you also can use kubectl commands to get information about your running application in addition to the IBM Cloud Code Engine CLI.
Observe a running pod on IBM Cloud Code Engine with kubectl commands
How to create a model container image for Watson NLP for Embed
This longer blog post shows how to : … build a model init container with a custom model for Watson NLP for Embed. … upload the model init container to the IBM Cloud container registry. … deploy the model init container and the Watson NLP runtime to an IBM Cloud Kubernetes Cluster. … test Watson NLP runtime with the loaded model using the REST API.
Run Watson Speech to Text for Embed on an IBM Cloud Kubernetes cluster in a Virtual Private Cloud environment
This blog post is about to deploy the IBM Watson Speech to Text Library for Embed to an IBM Cloud Kubernetes cluster. IBM Cloud Kubernetes cluster is a “certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud“.
Run Watson NLP for Embed in a KServe ModelMesh Serving environment on an IBM Cloud Kubernetes cluster in a VPC environment
This blog post is about to run Watson NLP for Embed example in a KServe ModelMesh Serving environment on an IBM Cloud Kubernetes cluster in a Virtual Private Cloud environment and reuses parts of the IBM Watson Libraries for Embed documentation.
Run Watson NLP for Embed on an IBM Cloud Kubernetes cluster in a Virtual Private Cloud environment
This blog post is about to deploy the IBM Watson Natural Language Processing Library for Embed to an IBM Cloud Kubernetes cluster in a Virtual Private Cloud (VPC) environment and is related to my blog post Run Watson NLP for Embed on IBM Cloud Code Engine. IBM Cloud Kubernetes cluster is a “certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud“.
Run Watson NLP for Embed on IBM Cloud Code Engine
This blog post is about using the IBM Watson Natural Language Processing Library for Embed on IBM Cloud Code Engine and is related to my blog post Run Watson NLP for Embed on your local computer with Docker. IBM Cloud Code Engine is a fully managed, serverless platform where you can run container images or batch jobs.
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.
Short example/cheat sheet how to use the new terraform module for IBM Cloud observability instances
This is a short example/cheat sheet about, how to use the new module called terraform-ibm-observability-instances to plan service instances on IBM Cloud with Terraform. You can find the source code for the example of the blog post in this GitHub repository Example to use the IBM Observability Module. In this example we plan to create an Activity Tracker, a Log Analysis, and a Monitoring service instance on IBM Cloud with Terraform.
Thomas Suedbroecker's Blog 