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Scroll to exploreField 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.
Integration · SAP
SAP integration patterns: how to choose the route out of the system
KI · Strategy
AI consulting: what a serious engagement leaves behind
Predictive · Analytics
Demand forecasting: the data quality problem behind every bad forecast
Cloud · Migration
Cloud migration cost: where the overrun comes from
Predictive · Analytics
Churn prediction: from the score to the retention decision
KI · Strategy
Enterprise AI roadmap: from pilot to operations
Cloud · Migration
Cloud migration consulting: what you should expect for the money
Tolling · Architecture
Toll interoperability: what EETS demands of your backend
Billing · Architecture
Revenue assurance: the billing checks that catch what invoicing misses
Cloud · Migration
A cloud migration runbook: the steps in the order they matter
Predictive · Analytics
Predictive analytics use cases: which method fits which question
Cloud · Migration
The cloud migration challenges nobody puts in the plan
Predictive · Fleet
Fleet predictive maintenance with the data you have
Cloud · Security
Cloud migration security: what changes when the perimeter moves
Cloud · Migration
On-premise to cloud: moving systems that are not allowed to stop
Cloud · Migration
Cloud migration strategy: the decisions that set the final bill
Data · Reliability
Data observability: catching incidents without explicit rules
Data · Governance
Master data management strategy: a roadmap that does not stall
Data · Quality
Data quality framework: the operating model behind data you can trust
Data · Governance
Data catalog: the system that makes enterprise data findable
AI · MLOps
Feature store: from notebook features to reliable production ML
AI · Engineering
RAG pipeline in production: the parts that decide whether it works
AI · Data
Enterprise vector database: when you need one and when you do not
Data · Integration
Change data capture: keeping systems in sync without nightly batch
Data · Governance
Data lineage: end-to-end traceability that survives an audit
Data · Governance
Data governance framework: building one enterprises actually use
Data · Streaming
Real-time data pipelines when every event is money
Integration · Security
Keycloak for enterprise IAM: when self-hosting makes sense
Data · Architecture
Data lake architecture: building one that does not become a swamp
AI · Engineering
MLOps: why your models die between the notebook and production
Sovereignty · AI
Sovereign AI: enterprise models without a US cloud
Legacy · Data
Migrating from Oracle to PostgreSQL: a cutover playbook, not a fantasy
Legacy · Modernization
Legacy modernization without the big-bang rewrite
Integration · Platforms
Event-driven architecture for transaction-critical systems
Integration · Architecture
Enterprise integration patterns that survive production
Tolling · Cross-border
Cross-border toll billing: multi-country integration patterns
Tolling · Architecture
Toll collection system architecture: a 5-layer reference
Tolling · Technology partnerships
7 criteria for choosing a toll collection solution provider
Organization · AI
AI culture debt: why teams are not ready for AI
Retail · CRM
When AI understands your customers better than your team does
Sovereignty · Cloud
Why European companies need to rethink where their AI actually runs
Legacy · DIY
Legacy IT? 5 things you can fix yourself
Retail · AI
Retail margins: profitability through AI-powered marketing
Legacy · AI