implementations. The first is based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. The other is Kafka [https://kafka.apache.org/] (which uses Zookeeper [https://zookeeper patch release. Raft ordering service Introduced in v1.4.1, Raft [https://raft.github.io/raft.pdf] is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd [https://coreos.com/etcd/]. Raft follows a “leader and follower” model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be

implementations. The first is based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. The other is Kafka [https://kafka.apache.org/] (which uses Zookeeper [https://zookeeper patch release. Raft ordering service Introduced in v1.4.1, Raft [https://raft.github.io/raft.pdf] is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd [https://coreos.com/etcd/]. Raft follows a “leader and follower” model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be

implementations. The first is based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. The other is Kafka [https://kafka.apache.org/] (which uses Zookeeper [https://zookeeper patch release. Raft ordering service Introduced in v1.4.1, Raft [https://raft.github.io/raft.pdf] is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd [https://coreos.com/etcd/]. Raft follows a “leader and follower” model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be

currently offers two CFT ordering service implementations. The first is based on the etcd library of the Raft protocol. The other is Kafka (which uses Zookeeper internally). For information about currently available the patch release. 2.2 Raft ordering service Introduced in v1.4.1, Raft is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd. Raft follows a “leader and model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be easier to set up and manage than Kafka-based ordering services, and their

currently offers two CFT ordering service implementations. The first is based on the etcd library of the Raft protocol. The other is Kafka (which uses Zookeeper internally). For information about currently available the patch release. 2.2 Raft ordering service Introduced in v1.4.1, Raft is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd. Raft follows a “leader and model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be easier to set up and manage than Kafka-based ordering services, and their

currently offers two CFT ordering service implementations. The first is based on the etcd library of the Raft protocol. The other is Kafka (which uses Zookeeper internally). For information about currently available the patch release. 2.2 Raft ordering service Introduced in v1.4.1, Raft is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd. Raft follows a “leader and model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be easier to set up and manage than Kafka-based ordering services, and their

implementations. The first is based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. The other is Kafka [https://kafka.apache.org/] (which uses Zookeeper [https://zookeeper patch release. Raft ordering service Introduced in v1.4.1, Raft [https://raft.github.io/raft.pdf] is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd [https://coreos.com/etcd/]. Raft follows a “leader and follower” model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be

service implementation based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. For information about currently available ordering services, check out our Hyperledger Fabric has a ledger subsystem comprising two components: the world state and the transaction log. Each participant has a copy of the ledger to every Hyperledger Fabric network they belong to. The the state of the ledger at a given point in time. It’s the database of the ledger. The transaction log component records all transactions which have resulted in the current value of the world state; it’s

currently offers two CFT ordering service implementations. The first is based on the etcd library of the Raft protocol. The other is Kafka (which uses Zookeeper internally). For information about currently available the patch release. 2.2 Raft ordering service Introduced in v1.4.1, Raft is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd. Raft follows a “leader and model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be easier to set up and manage than Kafka-based ordering services, and their

service implementation based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. For information about currently available ordering services, check out our Hyperledger Fabric has a ledger subsystem comprising two components: the world state and the transaction log. Each participant has a copy of the ledger to every Hyperledger Fabric network they belong to. The the state of the ledger at a given point in time. It’s the database of the ledger. The transaction log component records all transactions which have resulted in the current value of the world state; it’s