Deploying to IONOS Managed Kubernetes: A Practical Walkthrough
Most cloud discussions tend to revolve around the large hyperscalers, but the cloud ecosystem is broader than Azure, AWS and Google Cloud. I recently had to ...
A RAG-based Document Q&A Agent on Azure
I built a system for a customer that needed to work with large volumes of invoices and contracts. The idea was: upload documents; extract, index and save inf...
GitLab Management MCP Agent
In our group, we use GitLab not only as our version-control tool but also for planning. However, adding and editing issues on the website involves many click...
Achieving Full Observability with the Grafana Ecosystem
To add full logging and monitoring to a project, I reviewed the Grafana doc and evaluated various tooling options. Reaching a coherent, end-to-end observabil...
Data Access Layer Abstraction with Apache Spark
Some data processing applications serve multiple customers with similar workflows. While the core processes may be comparable, customer-specific requirements...
Time Series Forecasting — Continuous Ranked Probability Score (CRPS)
In time series forecasting, the least squares method or one of its variants is commonly used. These methods predict a single value, and the difference betwee...
Time Series Forecasting - Quantile Forecasting - Quantile Loss
The most common approach in time series regression analysis is symmetric modeling, where the objective is to predict the mean of the dependent variable using...
Logging Datasets in Machine Learning Experiments with MLflow
MLflow is widely recognized as a powerful tool for tracking machine learning (ML) experiments, enabling data scientists and ML experts to systematically log ...
Microsoft Azure Certificates — Part 1: Azure Fundamental AZ-900
I was offered a package of training programs covering several Microsoft Azure certificates. In a few posts, I’m going to explain each of these Azure certific...
From Exploration to Modeling: When ML Models Fail in Action — A Case Study
I was asked to explore a car insurance premium dataset and predict a “fair” premium for each policyholder. The task included exploratory data analysis, featu...
BentoML: Serving and Deploying Machine Learning Models
BentoML is an open-source platform for packaging ML models. It effectively simplifies the productionization of ML models by offering easy-to-use built-in fea...