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.

Billing · Architecture

Revenue assurance: the billing checks that catch what invoicing misses

9 min read Read →
Cloud · Migration

A cloud migration runbook: the steps in the order they matter

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Predictive · Analytics

Predictive analytics use cases: which method fits which question

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Cloud · Migration

The cloud migration challenges nobody puts in the plan

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Predictive · Fleet

Predictive maintenance for fleets: start with the data you already have

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Cloud · Security

Cloud migration security: what actually changes when the perimeter moves

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Cloud · Migration

On-premise to cloud: moving systems that are not allowed to stop

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Cloud · Migration

Cloud migration strategy: the decisions that set the final bill

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Data · Reliability

Data observability: catching the data incidents nobody wrote a rule for

8 min read Read →
Data · Governance

Master data management strategy: a roadmap that does not stall

8 min read Read →
Data · Quality

Data quality framework: the operating model behind data you can trust

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Data · Governance

Data catalog: the system that makes enterprise data findable

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AI · MLOps

Feature store: from notebook features to reliable production ML

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AI · Engineering

RAG pipeline in production: the parts that decide whether it works

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AI · Data

Enterprise vector database: when you need one and when you do not

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Data · Integration

Change data capture: keeping systems in sync without nightly batch

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Data · Governance

Data lineage: end-to-end traceability that survives an audit

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Data · Governance

Data governance framework: building one enterprises actually use

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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

8 min read Read →
Organization · AI

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

12 min read Read →
Retail · CRM

When AI understands your customers better than your team does

11 min read Read →
Sovereignty · Cloud

Why European companies need to rethink where their AI actually runs

8 min read Read →
Legacy · DIY

Legacy IT? 5 things you can fix yourself

7 min read Read →
Retail · AI

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

9 min read Read →
Legacy · AI

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

10 min read Read →

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