8 articles
Lean management: eliminating waste in processes
Lean management is the systematic elimination of waste (muda) in processes — the eight types of waste under the TIMWOOD framework, tools for spotting them, and a step-by-step rollout plan that doesn't sacrifice quality.
Read more →Kubernetes autoscaling with HPA and VPA: What It Really Costs — and Whether It's Worth It
The Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) in Kubernetes automatically match pod count and pod size to load — how they work, what implementing them really costs, and when autoscaling isn't worth it.
Read more →Industry 4.0: digitising the production line step by step
Industry 4.0 combines IoT sensors, real-time data analytics and automation on the production line — how practical digitisation works step by step, from a single-line pilot to scaling across a whole plant.
Read more →GitHub Actions for deployment automation: A Mid-Size Company Implementation Case Study
An illustrative walkthrough of rolling out GitHub Actions for deployment automation at a mid-size IT company: from the first workflow to a full CI/CD pipeline with test, build and deploy stages.
Read more →Low-Code/No-Code: When It's the Right Choice for Your Business
Low-code and no-code speed up building business applications, but they aren't always the right call — when they work, when they create technical debt, and how to decide deliberately.
Read more →Industrial IoT: A Complete Guide to IoT in Manufacturing
Industrial IoT (IIoT) explained: core use cases, the architecture layers behind a manufacturing deployment, cybersecurity risks, and the standards that govern connected factories.
Read more →Building a CI/CD Pipeline From Scratch: What's Changing in 2026
How to build a CI/CD pipeline from scratch in 2026 — tool selection, pipeline stages, pipeline security and the mistakes that most often delay rollout.
Read more →MLOps in Practice: From Jupyter Notebook to Production
A model that works beautifully in a Jupyter notebook and a model running reliably in production are two very different engineering problems. MLOps is the discipline that closes that gap — the pipeline stages, tooling and team competencies it actually requires.
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