Hyperledger Development Company

Chaincode is Hyperledger Fabric's name for smart contracts - programs that run on blockchain peer nodes and implement the business logic for reading and writing ledger data. Chaincode is written in Go (recommended for performance), JavaScript/TypeScript (Node.js), or Java. A chaincode program defines: the state data structure stored on the ledger (as JSON key-value pairs in CouchDB or simple keys in LevelDB), the functions that create or modify that state (transactions invoked by client applications), the validation rules that determine whether a proposed transaction is valid, and the events emitted to notify client applications of state changes. Chaincode must be installed on all required peers, approved by the organisations specified in the lifecycle endorsement policy, and committed to the channel before it can be invoked.

A Hyperledger Fabric channel is a private sub-network within a Fabric blockchain network - a separate ledger shared only by the organisations that are members of that channel. Different channels can have different organisations, different chaincode, and completely separate ledger state. Channels are Fabric's primary mechanism for data privacy: organisations A, B, and C might all be in a channel together for shared business data, while A and B have a separate bilateral channel for sensitive pricing data that C should not see. Each channel has its own genesis block, its own set of peer nodes from member organisations, and its own orderer configuration. Unlike private data collections (which are channel-wide with subsets of members), channels provide complete ledger separation.

Hyperledger Besu is an Ethereum client (EVM-compatible) that can operate as a permissioned blockchain using enterprise consensus algorithms (QBFT, IBFT 2.0) instead of Ethereum's Proof of Stake - providing Ethereum compatibility with enterprise-grade access control. Use Besu instead of Fabric when: you have existing Ethereum/Solidity expertise and want to reuse it in a permissioned context; you have existing Solidity smart contracts you want to deploy on a private network without gas fees; you need interoperability with public Ethereum (Besu nodes can participate in both private and public Ethereum networks); or your development tooling (Hardhat, MetaMask, Etherscan) is Ethereum-native. Use Fabric instead when: maximum data privacy (channels + private data collections) is required; you need the highest throughput (Fabric outperforms Besu at scale); or you need the most flexible architecture without EVM constraints.

Private data collections in Hyperledger Fabric allow certain organisations in a channel to store and transact on data that is not visible to other channel members. Without private data collections, all data committed to a channel is visible to all channel members. With a private data collection: the actual data is stored only in the private data stores of the organisations defined in the collection policy, not in the channel ledger; only a hash of the private data is committed to the channel ledger (visible to all members, allowing them to verify the data exists and has not been changed without seeing the content); and endorsement for private data transactions requires only the organisations defined in the collection policy, not all channel members. This allows, for example, a manufacturer and one distributor to transact on pricing data within a shared channel that also includes other distributors who should not see that pricing.

Hyperledger Fabric with Raft consensus achieves 3,500+ TPS in production configurations with proper tuning - specifically, batch timeout and batch size configuration for the orderer (larger batches improve throughput at the cost of latency), sufficient peer resources (CPU and memory), CouchDB state database optimisation, and efficient chaincode that minimises ledger reads per transaction. Throughput degrades with: complex CouchDB rich queries in transaction endorsement path (move queries to read-only functions), large state objects (minimise per-transaction data size), high endorsement policies (requiring many organisations to endorse every transaction adds round-trip latency), and insufficient orderer resources. For read-heavy workloads, peer query throughput is separate from transaction throughput - read queries can be parallelised across multiple peers.

Hyperledger Fabric uses X.509 digital certificates for identity management. Every participant (peer node, orderer node, admin, and application user) has an X.509 certificate issued by the organisation's Certificate Authority (CA). Hyperledger Fabric CA is the recommended CA for development; production networks can use external CAs (AWS ACM Private CA, HashiCorp Vault PKI, or enterprise PKI). An organisation's identity within the network is managed by its MSP (Membership Service Provider) - a configuration that defines which CA certificates are trusted for that organisation and what roles (peer, orderer, client, admin) each certificate holder can perform. When a transaction is submitted, the submitting client's certificate is included in the transaction proposal, and endorsing peers verify the certificate against the MSP configuration to confirm the client is an authorised member of the channel.

Adding a new organisation to a Hyperledger Fabric network requires several steps: (1) The new organisation generates its MSP configuration (crypto material - CA certificate, admin certificate, TLS certificates). (2) The new organisation's MSP definition is encoded and formatted as a channel configuration update. (3) The required signatories (as defined by the channel's admin policy, typically a majority of existing member organisations) must sign the configuration update transaction. (4) The signed update is submitted to the orderer, updating the channel configuration. (5) The new organisation deploys its peer nodes, joins them to the channel, and syncs the channel ledger from genesis block. (6) If the new organisation needs to endorse chaincode transactions, the chaincode endorsement policy may need to be updated separately. This process ensures that new organisations cannot be added without the consent of existing channel members.

Hyperledger Fabric network design and deployment, chaincode development in Go and JavaScript, Hyperledger Besu permissioned network deployment, Fabric CA and identity management, private data collections, enterprise system integration, network monitoring and operations, and Hyperledger network migration and upgrades.

Hyperledger Fabric v2.5 LTS (Long Term Support) for production deployments - providing the new lifecycle management, external chaincode builders, and performance improvements of v2.x with long-term security support. Fabric v3.0 preview features evaluated for upcoming projects.

Yes. Evolution Infosystem develops Hyperledger Fabric chaincode primarily in Go using the fabric-contract-api-go framework - chosen for its performance advantage (40-60% higher throughput than JavaScript chaincode) and production reliability in enterprise networks.

Raft (Crash Fault Tolerant) consensus with 3 or 5 orderer nodes for production Fabric networks - providing high throughput and sub-second finality with fault tolerance against orderer node failures. BFT (Byzantine Fault Tolerant) consensus available in Fabric v3.0 for networks requiring stronger fault tolerance assumptions.

Yes. Evolution Infosystem builds REST API gateways (using Fabric Gateway gRPC API), Fabric event listener services, ERP connectors, and message queue integrations connecting Hyperledger Fabric networks to existing SAP, custom ERP, CRM, and legacy database systems.