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2026-01-20 19:49:41 +01:00
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title = "OpenCloud"
description = "Open-source distributed cloud to share, sell, or rent infrastructure resources across trusted peers."
template = "index.html"
+++
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OpenCloud is an open-source, **distributed cloud fabric** that lets you selectively **share, sell, or rent** your infrastructure resources — data, algorithms, compute power, and storage — with other OpenCloud peers.
It provides a **peer-to-peer execution layer** that can orchestrate distributed workflows across multiple organizations, while each participant keeps full **sovereign control** over data, infrastructure, and trust relationships.
Distributed execution within the network can be optimized according to your own priorities:
- **Maximal sovereignty**
- **Accelerated computation**
- **Cost minimization**
- **Optimized infrastructure investments**
Each OpenCloud instance includes:
- an **OpenID-based distributed authentication system**
- a fully **decentralized architecture** with **no central authority** and **no single point of failure**
- **transaction tracking and peer-to-peer billing**, ensuring fair compensation for all partners
[Explore the Project →](/project)
[View the Source Code →](https://cloud.o-forge.io)

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title = "Documentation"
description = "OpenCloud Technical Documentation — Work in Progress"
template = "section.html"
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# OpenCloud Documentation
*Work in Progress*
This documentation site provides a unified and structured view of all core concepts behind **OpenCloud**, the sovereign, distributed, peer-to-peer cloud platform.
All OpenCloud microservices expose **OpenAPI-compliant specifications**, ensuring that:
- API structures and endpoints are always discoverable
- Code generation can be automated
- Integrators can explore service capabilities
- Implementations remain consistent across deployments
The full set of OpenAPI definitions will be progressively published as the platform stabilizes and services reach higher maturity levels.
---
# Documentation Status
This documentation is currently **under construction**.
Each section below represents a major technical capability of OpenCloud.
Pages will be expanded iteratively to include:
- Concepts & design principles
- Architecture diagrams
- API references (via OpenAPI)
- Usage scenarios
- Configuration guidelines
- Deployment instructions
- Best practices & integration patterns
If you want detailed or early-access drafts for any section, feel free to request them.
---
# Table of Contents
Below is the initial Table of Contents for the OpenCloud documentation.
Every topic listed here will eventually become a dedicated page or section.
---
## 1. Introduction to OpenCloud
- What is OpenCloud?
- Sovereignty principles
- Federated trust model
- Architecture overview
- Glossary of OpenCloud concepts
---
## 2. Resource Catalog
The Catalog is the foundation of all OpenCloud interactions.
- Resource model
- Metadata definitions (`catalog_metadata`)
- Data resources
- Algorithm resources
- Compute Units
- Storage resources
- Workflow templates
- Resource visibility (public / restricted / private)
- Access rules (credentials, payment, agreements)
- API endpoints (OpenAPI)
---
## 3. Peer Discovery & Connectivity
OpenCloud’s decentralization starts with peer discovery.
- Peer registration
- Peer identities
- Distributed trust graph
- Community/group definitions
- Private federations
- Peer health and presence
- Networking models (P2P overlays, WAN, LAN)
- API endpoints (OpenAPI)
---
## 4. Authentication & Authorization
Identity and access control across distributed partners.
- OpenID-based distributed authentication
- Federation of identity providers
- Session and token management
- Access scopes & privileges
- Fine-grained access control
- Collaborative area rule enforcement
- API endpoints (OpenAPI)
---
## 5. Workspace Management
Organizing data, algorithms, and services for distributed workflows.
- Workspaces lifecycle
- Resource selection
- Project and team organization
- Collaboration patterns
- Integration with workflows
- API endpoints (OpenAPI)
---
## 6. Workflow Design & Distributed Execution
The heart of OpenCloud’s capabilities.
- Workflow design principles
- Editor interface concepts
- Distributed data flows
- Execution strategies
- Sovereignty-optimized
- Performance-optimized
- Cost-optimized
- Hybrid strategies
- Multi-cloud and edge execution
- Stateless vs. stateful operations
- Error handling & retries
- Workflow templates and sharing
- API endpoints (OpenAPI)
---
## 7. Deployment & Resource Booking
Running services and reserving infrastructure across peers.
- Deployment model
- Resource reservation (compute, storage, algorithms)
- SLA & QoS considerations
- Scheduling and placement policies
- Deployment on datacenter vs. edge nodes
- Public-cloud hybrid deployments
- API endpoints (OpenAPI)
---
## 8. Monitoring & Observability
Understanding system state across distributed deployments.
- Metrics collection
- Execution tracing
- Peer availability & health
- Resource usage dashboards
- Alerts & notifications
- Integration with Prometheus, Loki, Grafana
- API endpoints (OpenAPI)
---
## 9. Accounting & Peer-to-Peer Billing
Tracking distributed resource consumption.
- Transaction capture
- Usage metering models
- Resource pricing
- Peer-to-peer cost settlement
- Billing transparency
- Audit logs
- API endpoints (OpenAPI)
---
## 10. Collaborative Areas
Governance for multi-organization projects.
- Workspace sharing
- Policy rules (open-source only, no personal data, legal restrictions, visibility constraints)
- Auto-enforced vs. manually-reviewed rules
- Community membership
- Compliance workflows
- API endpoints (OpenAPI)
---
## 11. Platform Components & Microservices
Detailed documentation for each service.
- Service overview
- Responsibilities & isolation
- Deployment diagrams
- Configuration parameters
- Inter-service API contracts (OpenAPI)
---
## 12. Deployment Guides
Instructions for various environments.
- Local developer installations
- Bare-metal and VM deployments
- Kubernetes & containerized environments
- Edge deployments (ARM SBCs)
- Cloud provider deployment
- High-availability patterns
---
## 13. Security
Security is an essential dimension of OpenCloud.
- Communication security
- Mutual authentication
- Data confidentiality
- Integrity & non-repudiation
- Threat models
- Secure default configurations
---
## 14. Roadmap & Future Evolutions
- Upcoming features
- Long-term vision
- Governance model
- Community contributions
- API deprecations
---
## 15. API Reference (auto-generated)
All microservices expose:
- REST endpoints
- JSON schema definitions
- Error codes
- Webhooks (if any)
- Tooling for client generation
These pages are directly generated from the OpenAPI contract.
---

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Right now OpenCloud is only distributed as source code.
It can be accessed though our forge [https://cloud.o-forge.io](https://cloud.o-forge.io)
---
# Development
OpenCloud relies on a micro services architecture.
Each component could be developed using specific technologies.
However, in order to preserve product consistency and ease maintenance activities, we strongly encourage using the following technological stacks.
## Web services
Web services are developped in Go using Beego stack
### Environment setup
When using pricate repositories like the OpenCloud git forge, you should define it as a private repository
export GOPRIVATE=cloud.o-forge.io
The Beego stack provides the bee cli tool to ease building process :
go get github.com/beego/bee/v2@latest
### Project initialization
New component creation
go mod init oc-mycomponent
Refer to other services component main.go file to write a consitent initialisation process
### Project build
In order to build the software :
bee run -downdoc=true -gendoc=true
The -downdoc=true -gendoc=true will automatically generate swagger documentation in the /swagger path
If default Swagger page is displayed instead of your api, change url in swagger/index.html file to :
url: "swagger.json"
If annotations are modified without any code changed, a rebuild might not reflect the changes.
To force routing information update :
bee generate routers
## GUI components
The GUI are developped using Flutter framework
### Environment setup
* Install Flutter framework
* Install Android Studio
* In "Tools"->"SDK Manager"->"Apparenace & Behaviour/System Settings/Android SDK", go to "SDK tools" and tick the "Android SDK command line tools"
* Run <code>flutter doctor</code> commmand and follow instructions to accept SDK licenses
* Add Vscode flutter plugin and use Vscode Command palette to create a Flutter project
* Also set the target Device using command Palette
### Project build
Depending on your target platform :
flutter build web
flutter build linux
flutter build windows

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title = "The OpenCloud Project"
description = "A sovereign, peer-to-peer distributed cloud fabric for sharing infrastructure and resources across trusted partners."
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Each participant can selectively share:
- **Data**
- **Algorithms**
- **Compute power**
- **Storage**
- **Pre-built workflows and services**
with other OpenCloud peers, under rules they fully control.
## What OpenCloud Enables
With OpenCloud, organizations can:
- Build **cross-organization workflows** that run across multiple infrastructures
- **Monetize resources** (share, sell, or rent capacity and services)
- Create **private communities of peers** for sensitive or strategic projects
- Maintain full **control over data location and access policies**
- Track **resource consumption and billing** transparently between partners
## Optimization on Your Own Terms
Distributed execution in OpenCloud is not tied to a single global policy.
Each instance can optimize workflows for its own objectives:
- **Maximal sovereignty** – prioritize data locality, compliance, and strategic autonomy
- **Accelerated computation** – prioritize time-to-result and performance
- **Cost minimization** – route workloads based on cost constraints
- **Optimized infrastructure investments** – improve utilization of existing assets
## Key Concepts
OpenCloud instances expose a set of integrated services:
- **Resource Catalog** – index and describe data, algorithms, compute units, storage, and workflows
- **Workspace Management** – organize resources of interest into project-oriented workspaces
- **Workflow Editor** – build distributed workflows and permanent services from catalog elements
- **Collaborative Areas** – define rules and constraints for shared workspaces and workflows
- **Peer Management** – configure trust relationships and access rights between peers and groups
These services together create a **cooperation framework** that covers both **technical** and **organizational/legal** aspects of distributed projects.
## Who Is OpenCloud For?
OpenCloud targets organizations that:
- Need to collaborate on **data- and compute-intensive projects**
- Care about **sovereignty, compliance, and resilience**
- Want to avoid **vendor lock-in** and opaque proprietary platforms
- Intend to run workloads **from datacenter to edge** and possibly on **public cloud** when appropriate
[Discover the Architecture →](/project/architecture)
[Explore Features and Benefits →](/project/features)

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# Frequently Asked Questions
**Is OpenCloud a replacement for traditional cloud providers?**
It might be a substitute for some users with very strong privacy concerns, but generally it complements them by enabling sovereign interconnections between private clouds.
**Who controls the data?**
Each participant retains full control of its own resources and data flows.
**How is trust managed?**
Trust is peer-defined. Nodes explicitly accept or reject partnerships.
**Is the project open-source?**
Yes, under a permissive license — link available on the home page.

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description = "Core services, collaboration capabilities, and strategic benefits of the OpenCloud distributed cloud fabric."
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# Features & Benefits
Each OpenCloud instance runs a collection of services that allow users to interact with their own deployment and with other OpenCloud participants.
Together, these services form a **federated cloud fabric** that is both technically powerful and strategically aligned with sovereignty goals.
---
## Core Services
### Resource Catalog
The **Resource Catalog** indexes all resources provided by an OpenCloud instance, including:
- **Data**
- **Algorithms**
- **Compute Units**
- **Storages**
- **Processing Workflows**
Every resource is described by metadata (see the `catalog_metadata` definition) and can be:
- **Public** – visible to all OpenCloud peers
- **Restricted** – visible only to selected partners, projects, entities, or groups
Access to specific resources may require:
- Credentials
- Payment
- Contractual or policy-based agreements
This catalog is the foundation for **discoverability, interoperability, and monetization** of resources.
---
### Workspace Management
Each OpenCloud user can create **workspaces** to organize resources of interest.
Within a workspace, users can:
- Aggregate data, algorithms, and compute/storage units from their own instance and from peers
- Prepare resources that will be used in **processing workflows** or **permanent services**
- Structure projects by theme, partner, or business objective
Workspaces make complex, multi-partner projects more manageable and traceable.
---
### Workflow Editor
Using resources collected in a workspace, users can build:
- **Distributed processing workflows**
- **Permanent services** running on top of the OpenCloud fabric
The **integrated workflow editor** provides a user-friendly interface to define and manage:
- Processing chains spanning multiple peers
- Data flows and storage locations
- Execution policies aligned with sovereignty, cost, or performance objectives
This enables **end-to-end distributed workflows** without central orchestration dependencies.
---
### Collaborative Areas
OpenCloud supports the creation of **Collaborative Areas**, where:
- Workspaces and workflows can be shared with selected partners
- Rules and constraints can be defined and enforced (automatically or via manual review)
Examples of rules include:
- Only **open-source components** allowed in the workflows
- **No personal data** allowed, or strict constraints on its use
- Specific **result visibility** and sharing policies
- **Legal and compliance limitations** tied to jurisdictions or contracts
Collaborative Areas provide a robust framework for **governed, multi-party collaboration**.
---
### Peer Management
OpenCloud allows you to define and manage relationships with other peers, enabling the creation of:
- Private communities of trusted partners
- Thematic or project-based federations
Access rights and trust levels can be configured:
- At a **global peer scope**
- For **specific groups** or communities within the peer network
This supports **fine-grained, community-aware access control** across the distributed cloud.
---
## Strategic Benefits
### Complete Control Over Data Location
OpenCloud encourages users to **host their own data**.
When external storage is required, OpenCloud allows you to:
- Carefully select **where** data is replicated
- Choose **which peers** can host copies
- Ensure **privacy, compliance, and performance** through data locality control
---
### Cooperation Framework
OpenCloud provides a structured **cooperation framework** that covers:
- **Data sharing and common workspaces**
- **Usage and access regulations**
- Alignment between **technical mechanisms** and **legal/contractual rules**
This framework is particularly suited for **cross-organization, regulated, or high-stakes projects**.
---
### Data Redundancy with Sovereignty
Like public clouds, OpenCloud supports **data redundancy** for availability and resilience.
However, it does so with **finer-grained control**:
- You decide on which peers and in which jurisdictions your data is replicated
- Redundancy policies can reflect **regulatory** or **strategic** constraints
---
### Hybrid Compatibility with Public Cloud
When workloads require **massive storage or computational capabilities** beyond what your peer network can provide, you can:
- Deploy an OpenCloud instance on a **public cloud provider**
- Use it as an extension of your federated infrastructure
- Offload **non-sensitive or non-strategic workloads** to public cloud capacity
This enables a **hybrid architecture** where sovereignty-sensitive workloads remain under your control, while others can scale on demand.
---
### Fine-Grained Access Control
OpenCloud offers **fine-grained access control** mechanisms that allow you to:
- Define **who** can access **what**, **from where**, and **under which conditions**
- Apply policies at the level of **resources, workspaces, collaborative areas, and peers**
- Combine **technical controls** with **organizational rules**
---
### Lightweight for Datacenter and Edge
The OpenCloud stack is developed in **Go**, generating:
- **Native binaries**
- Minimal **scratch containers**
All selected COTS components for OpenCloud services follow the same design philosophy.
As a result, OpenCloud can run:
- In **datacenters**, to support large-scale processing workflows
- On **ARM-based single-board computers**, to handle concurrent payloads such as:
- Sensor preprocessing
- Image recognition
- Data filtering
Graphical interfaces are implemented in **Flutter** and rendered as **HTML/JS**, enabling lightweight deployment with standard web technologies.
---
### Fully Distributed and Resilient
OpenCloud has a **fully distributed architecture**:
- No central administrator
- No central registry or authority
- No single point of failure
Partners can join or leave the network without disrupting the broader community, making the system inherently **resilient** and suitable for **long-lived collaborations**.
---
### Open Source and AGPL v3 Licensed
To foster trust and prevent opaque forks, OpenCloud is released as **open-source software** under the **AGPL v3** license.
This ensures that:
- The codebase remains **transparent and auditable**
- Contributions and modifications remain **aligned with the community**
- Closed, private forks cannot undermine the **trust and openness** of the ecosystem
The source code is publicly available for review, security audits, and community contributions.

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# Governance
OpenCloud promotes **transparent, community-driven governance**.
## Decision-Making Principles
- Shared control across contributors
- No dependency on a single vendor
- Long-term sustainability
## Participation
Any organization can:
- Host nodes
- Contribute code
- Join working groups

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## Proofs Of Concept
- 2019-2021: Distributed environemental data processin ecosystem
- 2021: Distributed Space Situation Awareness processing GUI demonstrator
- 2024: Distributed Digital twin factory infrastructure design
- 2025: Resilient and Sovereign Space Edge Computing System Orchestration
## Current Status
- Resource catalog: **Stable**
- Workflow editor: **Stable**
- Distributed Wokflow execution: **Functional**
- Shared workspaces: **Functional**
- Core P2P communication layer: **Under design**
- Resource sharing prototype: **Functional**
- Sovereignty rules engine: **In development**
- Web-based admin console: **In development**
- Services accounting and monitoring: **Under design**
## Next Milestones
- 2026 — Heterogeneous target deployment and operation
- 2026 — Monitoring, accounting and billing demonstration
## Future Evolutions
- Policy-driven data and processing placement
- Advanced cryptographic trust models