Projects sharing features with Raft

This project is a Chinese language translation of the original research paper detailing the Raft consensus protocol. It serves as a technical research translation and a consensus protocol guide, making the specifications of the Raft algorithm accessible to Chinese speakers. The documentation covers the core mechanisms of distributed systems, including leader election, log replication, and safety protocols. It provides a detailed explanation of how to maintain a single source of truth across multiple servers to achieve fault-tolerant cluster management. The material addresses distributed stat

Async-raft is an asynchronous consensus framework built on Rust for coordinating replicated state machines across distributed nodes. The library implements a leader-based consensus algorithm to ensure data consistency and fault tolerance, managing inter-node communication, log replication, and automated snapshot creation. The framework supports dynamic cluster topology modifications at runtime, allowing nodes to be added or removed without downtime through intermediate configuration phases. It handles log replication through batched and pipelined streaming with congestion control, alongside

Raft-java is a lightweight Java consensus library and replicated state machine engine designed to synchronize transaction logs and maintain fault-tolerant state across distributed server nodes. The framework relies on a leader-based replication model that routes write operations through a designated coordinator node, executing RPC-driven consensus protocols and automatic leader elections to maintain cluster agreement. The library supports dynamic cluster membership changes, allowing nodes to be added or removed during runtime without downtime through joint consensus configuration entries app

dqlite is a distributed SQL database that embeds a relational database engine to provide replicated storage across a cluster of nodes. It functions as a replicated SQL engine designed to ensure data remains available and consistent during node failures. The system utilizes a consensus algorithm to manage leader election and synchronize a replicated log across the cluster. This approach enables automatic cluster failover and leader promotion to maintain continuous service without manual intervention. The project covers state machine replication, network-based cluster membership, and transacti

TinyKV is a distributed key-value store designed for storing and retrieving data across multiple nodes with high availability. It functions as a distributed database system that incorporates a dedicated key-value storage engine for raw data persistence and retrieval on individual nodes. The project includes a Raft consensus engine to ensure data consistency and fault tolerance across a cluster of servers. It also features a distributed transaction manager that coordinates atomic commits and concurrency control to maintain data integrity across shards. The system covers cluster membership man

braft is an embeddable C++ library that implements the Raft consensus algorithm, providing a distributed consensus engine for building fault-tolerant, replicated state machines. At its core, it manages leader election, log replication, cluster membership changes, and state machine synchronization across a cluster of nodes, ensuring strong consistency and data durability even in the face of node failures. The library distinguishes itself through a comprehensive set of mechanisms for reliable distributed coordination. It uses a randomized timeout-based leader election process with term manageme

ToyDB is a distributed SQL database that provides a system for storing and querying data across multiple nodes. It focuses on maintaining strong consistency and fault tolerance through the implementation of a distributed consensus algorithm. The project distinguishes itself by supporting historical data versioning, enabling time-travel queries to retrieve the state of the database from a specific point in the past. It utilizes multi-version concurrency control to manage ACID transactions and ensure data integrity during concurrent operations. The system covers relational data modeling with t

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

LXD is a unified platform for managing both system containers and virtual machines through a single REST API and command-line interface. It provides a programmatic HTTP interface for controlling the full lifecycle of instances, enabling automation and integration with external tools. The system runs unprivileged containers with per-instance UID/GID mappings, seccomp filters, and AppArmor profiles for kernel-level isolation, while supporting multiple storage backends including directory, Btrfs, LVM, ZFS, Ceph, LINSTOR, and TrueNAS through a unified driver interface. The platform distinguishes

Ergo is a distributed actor framework for Go that implements the Erlang distribution protocol, enabling the construction of resilient, concurrent applications that can communicate transparently with Erlang/OTP nodes. At its core, it provides an actor model with isolated lightweight processes, priority-ordered mailboxes, and a meta-process architecture that separates blocking I/O from sequential message handling to prevent actor freezing. The framework includes a Raft-inspired cluster consensus system for leader election and automatic failover, along with OTP-style supervision trees that organi

This project provides educational materials and courseware focused on the theoretical and practical foundations of distributed systems design. It serves as a comprehensive curriculum covering the disciplines of consensus, data consistency, reliability engineering, and scalability. The instructional content focuses on achieving cluster agreement through consensus algorithms and managing system-wide state via coordination frameworks. It includes a dedicated guide to data theory, exploring replication strategies, consistency models, and data convergence. The courseware covers a broad capability

Dkron is a distributed, fault-tolerant system designed for scheduling and executing recurring tasks across a cluster of nodes. It functions as a cron-based orchestrator that manages job lifecycles, including automatic retries, timeouts, and complex dependencies, while ensuring state consistency through a consensus protocol. By coordinating remote task execution across infrastructure, it enables the automation of background operations and the management of distributed workflows. The system distinguishes itself through a modular architecture that supports pluggable storage backends and a plugin

Raft-rs is a Raft consensus library and distributed consensus engine implemented in Rust. It functions as a systems-level protocol implementation that provides foundational message formats and data structures for state serialization across nodes. The library executes the underlying consensus protocol to ensure multiple distributed state machines agree on a shared sequence of log entries. It coordinates state changes across a cluster of nodes to keep replicated logs synchronized and consistent. Additional capabilities include defining protocol buffer messages for consensus communication, enco

Incus is a unified orchestration platform for managing system containers, OCI application containers, and virtual machines through a single control plane. It brings together cluster infrastructure management, secure multi-tenancy, software-defined networking, and pluggable storage backend orchestration into one cohesive system exposed via a full REST API and command-line interface. What distinguishes Incus is its ability to run multiple instance types side by side—full Linux system containers, OCI application containers, and QEMU virtual machines—all managed with consistent tooling. Networkin

Cockroach is a distributed SQL database designed to scale horizontally across multiple nodes while maintaining strict ACID compliance and global data consistency. It functions as a relational database engine that automatically partitions data into ranges, rebalancing them across a cluster to accommodate growing storage and throughput requirements. By utilizing a distributed consensus protocol, the system ensures that all nodes agree on the order of operations, providing fault tolerance and continuous availability even in the event of hardware failures. The system distinguishes itself through

m3 is a distributed time series database designed for high-resolution metrics and high-cardinality data management. It functions as a scalable storage system and a multi-cluster query engine, providing a distributed metrics aggregator capable of downsampling and summarizing data before it is committed to storage. The project distinguishes itself through a coordinated cluster model using etcd for node membership and shard placement. It supports multiple ingestion protocols, including the Prometheus remote write protocol, InfluxDB line protocol, and Graphite Carbon plaintext protocol, and provi

rqlite is a distributed relational database that replicates SQLite data across a cluster using the Raft consensus algorithm. It functions as a fault-tolerant storage system that provides high availability and a web API for executing SQL queries and managing relational data without requiring native database drivers. The system distinguishes itself by using an HTTP SQL interface to expose database operations and cluster management. It features a real-time change data capture stream that pushes database mutations to external HTTP endpoints via webhooks and supports the scaling of read throughput

Nomad is a distributed workload orchestrator and infrastructure automation platform designed to manage the lifecycle of applications across large-scale, heterogeneous environments. It functions as a multi-cloud orchestration engine, providing a unified control plane to deploy, scale, and govern containers, virtual machines, and legacy applications. By utilizing declarative job specifications, the system ensures infrastructure convergence and maintains the desired state across distributed data centers and geographic regions. The platform distinguishes itself through a flexible, plugin-based ar

etcd is a distributed, strongly consistent key-value store designed to provide reliable storage for critical system metadata and coordination primitives. It functions as a distributed consensus engine, utilizing a replicated log and leader-based state machine to ensure that all nodes in a cluster maintain a synchronized view of data. By providing atomic operations and linearizable reads and writes, it serves as a foundational component for distributed systems requiring high availability and fault tolerance. The system distinguishes itself through its multi-version concurrency control, which e

etcd is a distributed key-value store and configuration store designed to maintain a consistent set of data across a cluster of nodes. It functions as a reliable registry for storing and synchronizing critical settings and metadata used by distributed applications. The system implements the Raft consensus algorithm to ensure data consistency and leader election across servers. To protect data transfers and verify node identities, it utilizes a network security layer based on mutual TLS and client certificates. Its capabilities cover distributed configuration management, cluster state synchro

Consul is a distributed coordination service and service mesh tool used for service discovery, health monitoring, and cluster state management across dynamic networks. It provides a platform for locating network addresses of services and managing traffic across distributed infrastructure using DNS and HTTP interfaces. The project distinguishes itself through multi-datacenter network orchestration, enabling the federation of services across different regions using mesh gateways. It secures communication via a service mesh architecture that employs identity-based authorization and mutual TLS en

TiKV is a cloud-native distributed transactional key-value store and storage engine. It provides a distributed database designed for horizontal scalability and strong consistency across a cluster of physical nodes. The system uses a Raft-based consensus mechanism to maintain data availability and state synchronization. It ensures ACID compliance for distributed transactions through a two-phase commit workflow and manages data distribution via multi-Raft sharding. The engine handles massive datasets using automated range splitting and cluster load balancing to distribute data across different

dkron is a distributed cron service and high availability task scheduler designed to execute scheduled commands across a cluster of servers. It functions as a scalable replacement for traditional cron by synchronizing task execution across multiple nodes to eliminate single points of failure. The system ensures fault tolerant task automation and high availability cron management through a distributed architecture. It utilizes a replicated state machine and consensus to maintain synchronized job schedules and provides automatic failover and redundancy. The platform covers distributed job sche

Marathon is an Apache Mesos container orchestrator and distributed workload manager. It serves as a framework for deploying and managing containerized applications and workloads across a distributed cluster. The system functions as a cluster resource scheduler that assigns applications to available resources using a centralized control plane. It distinguishes its orchestration through constraint-based instance placement, which restricts where containers are deployed based on node attributes or rack locations to ensure high availability. The platform provides capabilities for automated cluste

brpc is a high-performance C++ RPC framework and network programming library designed for building distributed systems. It functions as a multi-protocol RPC server capable of hosting and detecting multiple communication protocols, including gRPC, Thrift, HTTP, Redis, and Memcached, on a single TCP port. The project distinguishes itself through high-throughput data transport and memory efficiency, utilizing RDMA-based transport to bypass the kernel TCP stack and zero-copy memory management to eliminate data duplication. It also implements the Raft algorithm for consensus-based state replicatio

Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr

MySQL replication topology management and HA