Field notes on enterprise modernization.

Practical writing on legacy modernization, enterprise AI, cloud migration, and the realities of mission-critical software, by the team that maintains it.

Data · Streaming

Real-time data pipelines when every event is money

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Integration · Security

Keycloak for enterprise IAM: when self-hosted identity is the right call

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Data · Architecture

Data lake architecture: building one that does not become a swamp

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AI · Engineering

MLOps: why your models die between the notebook and production

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Sovereignty · AI

Sovereign AI: running enterprise models without handing your data to a US cloud

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Legacy · Data

Migrating from Oracle to PostgreSQL: a cutover playbook, not a fantasy

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Legacy · Modernization

Legacy modernization without the big-bang rewrite

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Integration · Platforms

Event-driven architecture for transaction-critical systems: where it helps, where it bites

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Integration · Architecture

The enterprise integration patterns that actually survive in production

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Tolling · Cross-border

Cross-border toll billing: integration patterns for multi-country deployments

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Tolling · Architecture

Toll collection system architecture: a 5-layer reference for European operators

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Tolling · Technology partnerships

7 criteria for choosing a toll collection solution provider

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Organization · AI

AI culture debt: why your teams aren't ready for AI (and how to fix it before it's too late)

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Retail · CRM

When AI understands your customers better than your team does

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Sovereignty · Cloud

Why European companies need to rethink where their AI actually runs

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Legacy · DIY

Legacy IT? 5 things you can fix yourself

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Retail · AI

In retail, margins are small. Profitability comes from ultra-targeted, AI-powered marketing.

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Legacy · AI

Your technical debt is blocking your AI projects. And nobody talks about it.

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