• Dec 2, 2025

The Hidden Cost of Org-Centric Architecture — And How Data 360 Fixes It

For more than a decade Salesforce architecture was shaped by one dominant principle. Consolidate wherever possible. Minimise fragmentation. Keep the estate inside a single org unless there were exceptional regulatory or geographic reasons to do otherwise.

This strategy made complete sense. It reflected the platform as it existed at the time. It helped customers avoid complexity that the platform could not absorb. It ensured consistency, governance and visibility in a monolithic application world.

The point of this post is not to criticise that strategy. It is to recognise that the assumptions behind it have expired. The platform has moved on. The delivery model has moved on. The data architecture has moved on. The relationship between process and experience has moved on.

This article explains why the legacy Salesforce org strategy was absolutely right for its time, and why it becomes increasingly outdated in the modern architecture built around Data 360, semantic models, packaging and containerised application environments.


The legacy strategy made sense for the platform we had

Before modern Data 360 and semantic federation existed, the logic was unavoidable:

  • each org was a silo of data and meaning

  • cross org reporting was difficult

  • multi org integrations were brittle

  • packaging was inconsistent

  • DevOps was nascent

  • configuration inside a single org was the safest option

  • governance scaled vertically, not horizontally

If you built enterprise Salesforce estates between 2007 and 2020, this strategy was the practical choice. It reduced risk. It gave customers a predictable operating model. It aligned with the limitations of the platform.

But those limitations are no longer the platform’s reality.


The platform is undergoing a structural shift

From 2022 onwards Salesforce began introducing the components of a fundamentally new architecture:

  • Data 360 as a separate data plane

  • a semantic layer that decouples meaning from individual orgs

  • zero copy federation

  • Hyperforce as a distributed infrastructure model

  • second generation packaging

  • Vibes for specification driven metadata generation

  • Agentforce for action orchestration on top of governed process

None of this is incremental. It is a redefinition of where data lives, how business meaning flows through the platform and how application components are assembled.

This is why the legacy org strategy begins to lose its force. Its assumptions no longer map to the platform beneath it.


**1. “More orgs create fragmentation”

Valid then. Outdated now.**

The old assumption:

More orgs meant more duplication, more inconsistency and more data divergence.

The modern reality:

Fragmentation is driven by uncontrolled data semantics, not the number of runtime containers.

Data 360 introduces:

  • shared semantics

  • shared identity

  • shared customer models

  • shared truth without copying data

Application containers can now share meaning through the data layer. The risk of fragmentation reduces rather than increases.


**2. “Org boundaries are permanent choices”

Valid then. Outdated now.**

Historically the org contained:

  • data

  • automation

  • process

  • identity

  • code

  • reporting

Changing boundaries was expensive and usually avoided.

In the modern architecture the ownership model shifts:

  • data moves into the data plane

  • semantics move into the shared graph

  • features move into versioned packages

  • orgs host configuration and runtime activity

The org stops being the anchor point of the entire estate and becomes a replaceable execution layer. It becomes a lifecycle asset rather than a permanent constraint.


**3. “Federation is weaker than consolidation”

Valid then. Becoming outdated now.**

When federation meant ETL, consolidation was the only stable option.

This is no longer the case.

Zero copy Data 360 provides:

  • harmonised enterprise models

  • unified identity resolution

  • semantic alignment

  • lineage

  • real time access

  • governed consumption

Federation becomes stronger than consolidation for many enterprise scenarios because it eliminates data duplication and reduces operational drag.


**4. “Avoid multi org to avoid fragmentation”

Valid then. Not accurate now.**

Legacy guidance from the monolithic era associated multi org estates with fragmentation because each org developed its own model of the truth.

In the modern model:

  • semantics move to the data plane

  • orgs become narrow in scope

  • feature sets are consistent through packaging

  • governance is pipeline enforced

  • observability gives cross org insight

  • containers have clear lifecycle boundaries

The risk profile changes. Fragmentation declines because meaning is centralised rather than embedded inside one giant org.


**5. “Orchestration is harder than configuration”

Valid then. Outdated now.**

Configuration was the safest delivery mechanism when DevOps was immature and packaging was brittle. Every new org added operational overhead.

Today:

  • pipelines are standard

  • testing is automated

  • package versioning is stable

  • metadata can be generated

  • impact analysis can be done with AI

  • cross org monitoring is accessible

The mechanical parts of orchestration are automated.

Configuration remains manual and error prone.

The balance shifts towards modular assembly rather than monolithic configuration.


**6. “Most customers are not ready for engineering heavy patterns”

Valid then. Less true now.**

For many years Salesforce estates grew without:

  • version control

  • packaging discipline

  • formal specifications

  • observability

  • platform engineering

However the modern platform forces a different shape:

  • Vibes requires structured specifications

  • Data 360 requires semantic modelling

  • Agentforce requires deterministic workflow

  • packaging requires modularity

  • multi org containers require platform level governance

The ecosystem is changing. The roles are changing. The expectations are changing. A platform with a separate data layer and agent orchestration is by definition an engineering platform.


**7. “Salesforce orgs are long lived assets”

Valid then. Outdated now.**

In the legacy model an org held everything. It became a twenty year investment whether customers wanted it or not.

In the container model:

  • the org holds configuration

  • data lives in the data plane

  • semantics live in the graph

  • features live in packages

  • observability sits above everything

The org becomes a replaceable runtime.

Its lifespan shortens.

Its operational value becomes clearer.

Its complexity remains contained.

This is a healthier architectural posture.


**8. “More orgs make governance harder”

Valid then. Not true now.**

Governance used to rely heavily on human configuration and manual checks. Adding orgs meant adding more surfaces for inconsistency.

In the modern architecture:

  • pipelines enforce policy

  • automated scanning prevents drift

  • container scopes are smaller

  • semantics are centralised

  • role models are simplified

  • misconfiguration can be detected through observability

  • administrative load is reduced through mechanisation

Governance becomes more predictable, not less.


**9. “Cross org reuse has historically failed”

True then. No longer true now.**

First generation packaging was weak.

Unmanaged packages offered no lifecycle management.

Dependencies were brittle.

Upgrade paths were unsafe.

Second generation packaging changes everything:

  • version pinning

  • dependency maps

  • safe upgrades

  • isolated namespaces

  • controlled rollout

  • testable modules

  • reliable component reuse

When combined with metadata generation and pattern libraries, reuse becomes a core principle rather than a pitfall.


**10. “If multi container architecture was correct, Salesforce would say so”

Valid expectation then. Different signals now.**

Salesforce may not publish a document titled “application containers reference architecture”, but the direction is clear if you track the platform changes:

  • data decoupling

  • semantic modelling

  • zero copy federation

  • action oriented agents

  • metadata generation

  • modular feature sets

  • distributed infrastructure

The platform is evolving into a multi tier system with a shared data backbone and replaceable application containers.

It no longer behaves like a single monolithic environment.


The conclusion

The legacy Salesforce org strategy was the right answer for its time. It was built on sensible assumptions, real constraints and proven patterns. It allowed enterprises to manage complexity when the platform was monolithic and tightly coupled.

But the platform has changed. Data 360 changes the data model. The semantic layer changes the meaning model. Packaging changes the feature model. Agentforce changes the process model. DevOps maturity changes the delivery model.

Modern Salesforce architecture is built around:

  • a shared data plane

  • a semantic backbone

  • small application containers

  • versioned packaged features

  • AI assisted engineering

  • pipelines for governance

  • observability

  • lifecycle driven org management

The org is no longer the system.

The org is the runtime.

Once you adopt that mental model, everything else becomes simpler.

1 comment

Fabrice Cathala1w

Excellent post IMHO. Content to be reused every day when designing for enterprise-class customers...
Thanks for writing this!

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