From Cloud Native to AI Native

Pini Reznik, Michael Müller, 2025

Years after Kubernetes, many companies still struggle with Cloud Native, and AI is coming next. Two practitioners show how to transform step by step and avoid costly mistakes.

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17 parts, about 22 minutes to read.

Why read it

Explains why Cloud Native transformations stall and argues the same traps now await companies rushing into AI
Gives a stepwise path from a protected research lab through a thin platform to scaling, optimizing and retiring old systems
Pini Reznik and Michael Müller draw on years of consulting and a manufacturer case study, treating culture and team structure as seriously as tools

Who it is for

Chief technology officers planning a cloud or AI transformation
Platform and engineering managers stuck halfway through migration
Tech leaders deciding when to invest in AI Native systems

What the summary covers

Why Cloud Native still disappoints1 min
An early lesson at Check Point1 min
What Cloud Native really means2 min
Transformation, not upgrade1 min
Waves and six modes1 min
Step 0: a research lab2 min
Step 1: a leadership decision1 min
Step 2: a thin platform and a bridge1 min
Step 3: onboard carefully, retire deliberately2 min
Step 4: scale across the enterprise and optimize1 min
Step 5: keep optimizing and innovating1 min
Step 6: pioneer the next wave1 min
Costly mistakes1 min
Sustaining the gains1 min
AI Native: the next wave3 min
A company that learned to transform1 min
The capability that lasts1 min

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Milan SeijbelCTO at Ortec Finance

About the authors

Pini ReznikCofounder and CEO of re:cinq; cofounder of cloud native consultancy Container Solutions
- In the IT industry since 1997, from mainframes to modern cloud platforms
Michael MüllerCofounder and CTO of re:cinq