Deploying and managing Hyperledger Fabric networks is complex and time-consuming, often taking weeks or months. This process requires expertise in:
These requirements can significantly slow down blockchain adoption and limit its potential impact.
FabricLaunch automates the onboarding of new organizations to existing Hyperledger Fabric networks. Our focus is on baremetal deployment, without Docker or Kubernetes, making it easier for IT teams familiar with traditional server management.
Decentralized Spread onboarding tasks across your organization. Reduce bottlenecks.
Governance Maintain control and compliance with unified rules.
Automation Streamline processes. Save time and reduce errors.
The following diagrams illustrate the interaction between FabricLaunch components.
graph TD
A["Client Machine"]
B["🛠️ CLI"]
C["Peers"]
D["Orderers"]
E["Governance Tasks"]
F["API"]
G[("🚀 FabricLaunch Platform")]
H{"Public Data Store"}
I["Organizations Data"]
J["Peers Data"]
K["Orderers Data"]
L["Governance Data"]
M["Chaincode Tasks"]
A -->|Installs| B
B -->|Starts| C
B -->|Starts| D
B -->|Connects via| F
B -->|Performs| M
M -->|Install/Approve/Commit| C
F -->|Performs| E
F <-->|Interacts with| G
G -->|Stores in| H
H -->|Includes| I
H -->|Includes| J
H -->|Includes| K
H -->|Includes| L
classDef client fill:#f9f0ff,stroke:#9933ff,stroke-width:2px;
classDef cli fill:#e6f3ff,stroke:#0066cc,stroke-width:2px;
classDef component fill:#e6ffe6,stroke:#009933,stroke-width:2px;
classDef api fill:#fff0e6,stroke:#ff6600,stroke-width:2px;
classDef platform fill:#ffffe6,stroke:#cccc00,stroke-width:2px;
classDef datastore fill:#ffe6e6,stroke:#cc0000,stroke-width:2px;
classDef data fill:#f0f0f0,stroke:#666666,stroke-width:1px;
class A client;
class B cli;
class C,D,E,M component;
class F api;
class G platform;
class H datastore;
class I,J,K,L data;
The FabricLaunch CLI interacts with the FabricLaunch Platform API to perform governance tasks and chaincode tasks. The FabricLaunch Platform stores data in a public data store, which includes organization data, peers data, orderers data, and governance data.
graph TD
A["🛠️ CLI"]
B["File System"]
C["Configuration Files"]
D["Crypto Materials"]
E["Chaincode Source"]
F["🔌 API"]
G[("🚀 FabricLaunch Platform")]
H[("Amazon S3")]
I[("PostgreSQL")]
A -->|Reads/Writes| B
B -->|Contains| C
B -->|Contains| D
B -->|Contains| E
A -->|Connects to| F
F <-->|Interacts with| G
G -->|Stores Chaincode| H
G -->|Stores Non Private Data| I
subgraph "Client Machine"
A
B
C
D
E
end
subgraph "Cloud Infrastructure"
G
H
I
end
classDef cli fill:#e6f3ff,stroke:#0066cc,stroke-width:2px;
classDef fs fill:#f0f0f0,stroke:#666666,stroke-width:1px;
classDef api fill:#fff0e6,stroke:#ff6600,stroke-width:2px;
classDef platform fill:#ffffe6,stroke:#cccc00,stroke-width:2px;
classDef storage fill:#e6ffe6,stroke:#009933,stroke-width:2px;
class A cli;
class B,C,D,E fs;
class F api;
class G platform;
class H,I storage;
We focus on baremetal deployment because:
Documentation coming soon. You can find the markdowns on the GitHub repository.