lni/dragonboat
Dragonboat
Dragonboat is a Go implementation of the Raft consensus protocol designed to maintain consistent state across a distributed cluster of nodes. It provides a library for building distributed state machines that ensure data integrity and fault tolerance during system failures.
The project distinguishes itself through a multi-group Raft implementation, which partitions data across independent consensus groups to distribute workloads and increase overall system processing capacity. It also incorporates mutual TLS to encrypt inter-node communication and verify the identity of cluster members.
The system includes capabilities for high-performance state machines with support for both memory and disk persistence. It features read-path optimizations to ensure consistency without generating new log entries, a pluggable storage interface for custom log backends, and administrative tooling for quorum recovery to restore availability after a permanent loss of the node majority.
Operational stability is supported through the export of cluster health metrics.
Features
- Raft Consensus Implementations - Provides a Go implementation of the Raft protocol to manage replicated logs and leader election for distributed consistency.
- Multi-Raft Sharding - Utilizes a multi-Raft sharding architecture where independent consensus groups manage different data ranges to scale throughput.
- Distributed Consensus Algorithms - Implements protocols that ensure agreement on a sequence of operations across network nodes to maintain consistent state.
- Distributed Coordination Systems - Provides a framework for managing state, synchronization, and consensus across distributed nodes to ensure data consistency.
- Distributed State Machines - Provides a library for building distributed state machines that maintain consistency and data integrity across a cluster.
- Distributed State Synchronization - Provides a mechanism for synchronizing application state across distributed server instances to ensure fault tolerance.
- Replicated State Machines - Implements replicated state machines that maintain identical state across nodes using an ordered sequence of log operations.
- Quorum Restorations - Includes a utility for restoring quorum and designating a new leader after a cluster has lost its majority of voting members.
- Consistent Read Optimizations - Implements read-path optimizations that verify the latest committed index to ensure consistency without generating new log entries.
- Durable State Machine Persistence - Supports building durable application states that persist to disk or reside in memory for fast recovery.
- Pluggable Storage Backends - Provides a pluggable storage interface allowing the consensus log to be persisted in various database backends.
- Quorum Recovery Mechanisms - Provides administrative tooling to restore cluster availability by manually reconfiguring membership after a permanent majority loss.
- Consistent Read Protocols - Implements a specialized index protocol for read-only queries to ensure strong consistency without appending new entries to the transaction log.
- Consensus Log Storage Integrations - Supports integrating custom storage backends and transport layers to optimize performance for the consensus log.
- Cluster Communication Security - Enforces mutual TLS authentication across internal cluster components to ensure secure communication in open environments.
- Mutual TLS Authentication - Secures inter-node communication using mutual TLS to encrypt traffic and verify member identity.
- Mutual TLS Transports - Secures inter-node communication using mutual TLS transports for encrypted tunnels and certificate-based identity verification.
- State Persistence Layers - Supports both memory and disk persistence for application state to ensure durability across system restarts.
- Consensus Cluster Recoveries - Offers mechanisms to restore availability to a consensus cluster after a majority of nodes are permanently lost.
- Distributed Systems - High-performance library for distributed consensus.
- Algorithms - Raft consensus algorithm library.
- Distributed Systems - High-performance multi-group Raft consensus library.
Star history
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