¶ Cloud Platform Interoperability vs. eTag Fuse Runtime Interoperability
While cloud providers like AWS, Azure, and Google Cloud offer strong infrastructure interoperability — connecting systems, networks, and storage — they do not provide runtime domain interoperability across AI, workflows, identity, messaging, and policy enforcement.
The eTag Fuse Platform is designed to bridge this gap, enabling governed, domain-driven collaboration across systems, users, and AI — regardless of where they are hosted.
This page provides a strategic comparison between the interoperability capabilities of cloud providers and Fuse.
¶ Comparison Table
| Capability | AWS / Azure / GCP | eTag Fuse Platform |
|---|---|---|
| Infrastructure Interoperability |  (Networks, APIs, Storage) |
(via deployment adaptability) |
| Runtime Domain Interoperability |  |
(AI, humans, workflows, systems, policies) |
| Dynamic Token Governance | (manual IAM, siloed) |
(scoped runtime tokens) |
| Cross-Domain Workflow Orchestration | (requires manual services integration) |
(built-in Workflow domain) |
| Human-in-the-Loop Workflow Support | (requires building custom apps) |
(native UI, Workflow, Messaging domains) |
| AI Governance and Runtime Participation | (model ops only, no orchestration) |
(native Intelligence domain orchestration) |
| Role and Policy Scoped Execution | (limited to IAM and API Gateway) |
(Security domain runtime enforcement) |
| Runtime Observability and Auditability | Partial (CloudWatch, Stackdriver, Azure Monitor) | (Visibility domain, runtime audit trails) |
| Workflow State Management | (build with external tools) |
(stateful orchestrations) |
| Inter-Cloud or Hybrid Collaboration |  Partial (complex, manual) |
(via Routing, Workflow, System domains) |
| Confidential Computing Readiness | Partial (select services only) |
(Fuse can deploy inside secure enclaves) |
| Air-Gapped Operation Support | Limited |
(full support if hosted privately) |
¶ Key Takeaways
- Cloud platforms enable system and network connectivity — but runtime execution, domain governance, and explainable orchestration must be built manually.
- Fuse provides composable runtime interoperability — governing AI, workflows, security, knowledge, and messaging without rebuilding orchestration logic for each system.
- Fuse augments cloud platforms — it does not replace them. It allows organizations to unify disparate environments into a single governed execution fabric.
¶ How Fuse and Cloud Platforms Work Together
Rather than viewing Fuse as a competitor to cloud services, organizations should see it as a runtime orchestration and governance layer that enhances their infrastructure capabilities.
Example Integration Model:
- AWS provides infrastructure (EC2, S3, RDS)
Fuse orchestrates workflows, AI decisions, and user actions across these services. - Azure provides identity federation (Azure AD) Fuse applies dynamic runtime role enforcement during workflow execution.
- GCP provides storage and API hosting Fuse composes governed flows using these resources as workflow steps.
Fuse becomes the intelligent operational layer across cloud and on-premises systems — ensuring traceability, policy enforcement, explainability, and governance without lock-in.
¶ When to Use Fuse with Cloud Providers
You should consider Fuse when you need:
- Governed AI orchestration across services and users
- Cross-cloud or hybrid system workflows
- Secure runtime governance of identity, approval, and access
- Human-in-the-loop workflows integrated with AI and messaging
- Compliance-focused audit trails for multi-system orchestration
- Explainable, composable execution across different cloud resources
Fuse empowers organizations to treat infrastructure as composable capabilities — not isolated silos — while maintaining operational integrity.
¶ Strategic Advantage of Fuse Over Cloud-Only Architectures
| Category | Cloud-Only Approach | Cloud + Fuse Approach |
|---|---|---|
| System Integration | Connects services manually | Composes governed, reusable runtime flows |
| Identity and Access Management | Static IAM assignments | Dynamic runtime tokens and policy enforcement |
| AI Participation | Model endpoints, no orchestration | Full AI-agent orchestration with governance |
| Workflow Management | Build/buy external BPM tools | Native, domain-aware orchestration and workflows |
| Observability and Compliance | Logs and metrics per service | Unified runtime audit, state, and policy logs |
| Deployment Flexibility | Cloud-native only | Hybrid, on-premises, cloud, confidential hosting |
Next: Runtime Architecture — Explore how Fuse organizes runtimes into Hubs and Engines for scalable deployment.