This blog post is a CheatSheet about how to loop an endpoint of an application running on IBM Cloud Code Engine with a bash automation.
CheatSheet: How to loop an endpoint of an application running on “IBM Cloud Code Engine” with a bash automation
How to get the Egress IPs for an IBM Cloud Code Engine Project
This blog post is just a short cheat sheet on how to get the Egress IPs for an IBM Cloud Code Engine Project.
Observe a running pod on IBM Cloud Code Engine with kubectl commands
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.
Build and push a container image to IBM Cloud Container Registry using bash automation
This extract is from a bash automation script in the question-answering GitHub project. The bash script automates the deployment to IBM Cloud Code Engine. The extraction is about the building and pushing a container to the IBM Cloud Container Registry.
Example of how to connect and use Elasticsearch on IBM Cloud Databases using bash automation and CURL commands
This blog post is a short example of connecting to Elasticsearch on IBM Cloud with Databases for Elasticsearch using bash scripting with cURL.
Show the collection IDs of IBM Cloud Watson Discovery projects using cURL
This blog post is a simple example (cheat sheet) of listing the collections for a project in Watson Discovery using cURL and the IBM Cloud Watson Discovery API V2. You can get more details in the IBM Cloud Watson Discovery API documentation. 1. Log on to IBM Cloud ibmcloud login (-sso) REGION=us-south GROUP=default ibmcloud target -r... Continue Reading →
The Setup of Bring Your Own Search (BYOS) for a Question Answering Service in Watson Assistant
This blog post is about how to set up Bring Your Own Search (BYOS) for the Question Answering Service based on IBM Software in Watson Assistant. The implementation of the Question and answering Service is available on GitHub.
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“.
Create a custom dictionary model for Watson NLP
This blog post is about, how to create a custom dictionary model for Watson NLP. One capability of the Watson NLP is the "Entity extraction to find mentions of entities (like person, organization, or date)." We will adapt the Watson NLP model to extract entities from a given text to find single entities like names and locations which are identified by an entry and its label.
Thomas Suedbroecker's Blog 