Unleash your creativity and design a custom visualization for the Shelly 3EM device with Grafana

The blog post details an example implementation of a connection server using Shelly 3EM, IBM Cloud Cloudant, and Grafana. It aims to store historical data for visualizing electricity consumption. The project involves detailed architecture, environment setup, Python, FastAPI, Podman, and more usage. The setup covers Raspberry Pi, Podman Compose, and IBM Cloud Code Engine environments, with prerequisites and detailed configurations. The approach allows users to monitor and visualize power consumption efficiently and cost-effectively using Grafana.

January 21, 2024 0

CheatSheet: Run a PostgreSQL container with Podman and podman-compose

This brief article provides a step-by-step guide for setting up and running a PostgreSQL database container locally using Podman Desktop and podman-compose. It covers installation, configuration, and execution, along with additional notes on maintenance and troubleshooting.

January 20, 2024 1

How do you initially set up a Virtual Server Instance with a GPU in IBM Cloud?

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.

January 18, 2024 3

Writing an HTML-to-Text converter can be the first task in an AI pipeline with the JSOUP Java Library

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.

December 17, 2023 1

How to define a custom Open API specification for a Watson Machine Learning deployment to integrate it into watsonx Assistant

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.

December 5, 2023 0

How to create a FastAPI server to use OpenAI models

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.

November 23, 2023 0

An example for a Functional Performance Test Plan in JMeter

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.

October 21, 2023 1

CheatSheet: Basic structure and elements of a JMeter Test Plan

This blog post contains an overview, where we get a summary of the used elements of JMeter for the Example Functional Performance Test.

October 21, 2023 1

CheatSheet: How to loop an endpoint of an application running on “IBM Cloud Code Engine” with a bash automation

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.

October 17, 2023 1

CheatSheet: How access a remote machine with a SSH key?

This is a simple cheat sheet: How access a remote machine with a SSH key?