Before Every Crop Depended on One Farm

Opening Scene

Before crop diversification across multiple fields was a well-understood agricultural practice, a farm’s entire fortune rode on however its single plot of land performed in any given season. Organizations choosing cloud infrastructure faced an analogous reality before multi-cloud and hybrid strategies matured: committing to a single provider was simply how cloud adoption typically happened, without much deliberate consideration of the dependence that choice created.

In Plain English

In cloud computing’s earlier years, organizations typically selected one cloud provider and built their entire infrastructure around that provider’s specific services, tools, and conventions. This made initial adoption comparatively simple, but it also created vendor lock-in: a deep, often difficult-to-reverse dependence on that one provider’s pricing, availability, and roadmap decisions.

The Old Way

Before multi-cloud and hybrid strategies were widely and deliberately practiced, single-provider commitment was the typical default:

Organizations typically selected one cloud provider early in their cloud adoption journey, building deeply integrated dependence on that provider’s specific tools and services.
There wasn’t yet a well-established practice of deliberately evaluating the long-term lock-in risk that deep, single-provider integration created.
Switching providers later, once meaningfully invested, was often prohibitively difficult and costly, having not been planned for from the outset.

Single-provider commitment without deliberate consideration of long-term lock-in risk is what today’s more deliberate multi-cloud and hybrid evaluation practice directly addresses.

What’s Changing (and Why AI Is the Reason)

Organizations increasingly evaluate provider lock-in risk explicitly and early, rather than discovering the cost of switching only after years of deep, single-provider integration.
This connects directly to the data portability practices covered in Article 8, which are a key defense against the lock-in risk single-provider commitment historically created.
As AI infrastructure investment grows increasingly significant, the cost of being locked into a single provider’s AI service offerings and pricing has become a more material, visible risk than it was for earlier generations of cloud workloads.

The Metaphor, Fully Extended

The Farmer	Multi-Cloud & Hybrid Concept
A farm’s entire fortune riding on one plot of land	An organization’s entire infrastructure riding on one cloud provider
Diversification not yet a well-understood practice	Multi-cloud and hybrid strategy not yet a well-established practice
Committing to a single field without much deliberate weighing	Committing to a single provider without much deliberate lock-in evaluation
Switching fields later proving difficult once deeply invested	Switching providers later proving difficult once deeply integrated

For Beginners: What to Actually Do

Practice explaining vendor lock-in in your own words, and why it becomes harder to address the longer an organization waits.
Learn to recognize the signs of deep, single-provider integration: heavy use of provider-specific, non-portable services and tools.
Get comfortable with the idea that lock-in risk is worth evaluating early, even for organizations not currently planning to switch providers.

For Practitioners and Leaders: The Deeper Layer

Assess your organization’s current level of single-provider integration, identifying how difficult switching would genuinely be today.
Build lock-in risk evaluation into infrastructure decisions from the outset, rather than only after a switching need arises.
Recognize growing AI infrastructure investment as a specific, material factor that raises the stakes of unaddressed lock-in risk.

Quick Recap

Cloud adoption historically defaulted to single-provider commitment, creating vendor lock-in over time.
This lock-in made later provider switching prohibitively difficult and costly.
Deliberate, early evaluation of lock-in risk is what today’s multi-cloud and hybrid practice directly addresses.
Growing AI infrastructure investment has made unaddressed lock-in risk increasingly material.

Where This Fits in the Series

Article 2 covered how single-provider commitment historically created lock-in risk. Article 3 turns to the specific danger this creates: what one bad season can genuinely wipe out.