I want to share my experience in the cloud, AI, and agents development areas.
Generative AI offers diverse business opportunities, often requiring GPU for intensive computing. IBM Cloud provides easy GPU instantiation with Virtual Server Instance (VSI) in a Virtual Private Cloud, available in minutes with pay-per-usage. This guide covers VPC configuration, VSI setup with GPU, SSH access, GPU accessibility in Ubuntu, and GPU verification in Python.
This blog post is about the powerful JSOUP Java Library, which allows you to convert an HTML to plain formatted text based on your requirements by extracting and inspecting HTML elements in various ways. We check two methods to do this in this example.
This blog post is about how to define a custom Open API specification` for Watson Machine Learning - IBM Cloud deployment to integrate it into watsonx Assistant. The Watson Machine Learning deployments make it easy for data scientists to write AI Prototypes to be integrated into applications because they can use Jupyter Notebooks and Python they are used to without knowing how to write containers and set up runtimes; they can deploy, and the developers can consume the AI functionalities they have implemented via a REST API.
Last time, I wrote a blog post about "IBM Watsonx.ai and a simple question-answering pipeline using Python and FastAPI", and I had an exchange with my family about an OpenAI sample for a FastAPI application, so I created a small FastAPI server to access OpenAI with Python.
This longer blog post is about an example of a "Functional Performance Test Plan" in the JMeter test tool. The example contains configuration of the Test Plan and the execution from the UI and the command line using a simple Node.js application as System Under Test. I would say the content is from the beginner to intermediate level.
This blog post contains an overview, where we get a summary of the used elements of JMeter for the Example Functional Performance Test.
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.
This is a simple cheat sheet: How access a remote machine with a SSH key?
This blog post is just a short cheat sheet, and this is the command that cancels your last git commit and keeps your local files.
This blog post is a short cheat sheet about how to save Elasticsearch query results with paging in a bash script automation. The automation does download all the query results in JSON files as long the paging returns results in the hits of the return JSON. The files are numbered 01.json to XX.json.
Thomas Suedbroecker's Blog 