Blog – AI, Cloud & Software Engineering Insights

The EU AI Act takes effect in stages. Learn about risk classes, documentation requirements, deadlines and a concrete checklist for enterprise AI deployment.

FinOps for mid-market companies: Reserved Instances, right-sizing and tagging cut cloud costs by 25 percent. Hands-on guide with code examples.

GPL, MIT, Apache 2.0, AGPL explained: Learn what each license requires and how to identify, properly manage, and prevent license risks in code.

NIS-2 compliance imposes new duties on mid-size companies: risk management, incident reporting, supply chain security. What you must do now.

Open source for SMEs: Infrastructure yes, ERP only with cost analysis. Realistic framework for deciding where open source works and where it doesn't pay off.

Llama, Mistral, Qwen are called open models. What separates Open Weights from Open Source and when self-hosting beats API usage in production.

What powers OpenDesk? A technical analysis of Germany's open-source workplace suite with component breakdown, maturity assessment and practical guidance.

How mid-size companies can build an AI strategy that delivers results. A field-tested 5-step approach with concrete use cases and timelines.

How mid-size teams adopt DevOps without over-engineering: first pipeline, deployment strategies, observability, and a phased rollout roadmap.

94% of enterprises worry about AI agent sprawl. How governance frameworks secure autonomous agents without blocking innovation and velocity.

Terraform and Pulumi compared head-to-head: state management, testing, multi-cloud, and modules. A decision guide for cloud engineering teams.

The Trivy supply chain attack compromised CI/CD pipelines worldwide. How it happened, how CanisterWorm spread through npm, and what teams should do now.

Cloud bills spiraling out of control? Five proven strategies help mid-sized companies cut cloud spending without sacrificing performance or velocity.

Microservices or monolith? Decision criteria, common pitfalls, and practical experience from real migration projects in mid-sized companies.

What sets DevSecOps apart from traditional DevOps? Shift-left security, SAST, SCA, DAST tooling, and concrete CI/CD pipeline examples.

How AI agents complement existing marketing tools and accelerate content processes from idea to publication. A practical guide with real-world examples.

Retrieval Augmented Generation makes internal company knowledge accessible to LLMs. Architectures, chunking strategies, and a hands-on Python example.

Enterprise AI agents automate complex workflows, use tools, and act autonomously — from use case evaluation through proof of concept to scaled rollout. A practical guide for enterprise teams.

OpenClaw hit 60,000 GitHub stars in 72 hours. Five critical CVEs and uncontrolled enterprise adoption show: without governance, the hype is a liability.

Five concrete automation workflows with AI agents in day-to-day operations, from blog creation to email drafts. Hands-on examples from production.

Why a thoughtful cloud strategy matters more than provider choice – and how companies avoid common pitfalls.

MCP connects AI agents to enterprise tools like Jira or SAP. How the Model Context Protocol works and when it pays off for teams.

A pragmatic approach to modernizing legacy code without blocking day-to-day operations. With concrete methods and prioritization.

Our motivation for building an IT consultancy that works differently: pragmatic, technically deep, and at eye level.