🦀 TuskLang Rust Distributed Systems Patterns

"We don't bow to any king" - Rust Edition

Master distributed systems patterns with TuskLang Rust. From consensus algorithms to leader election, from sharding to distributed coordination—build robust, scalable, and fault-tolerant systems with Rust and TuskLang.

🗳️ Consensus Algorithms

Raft Consensus with openraft

use openraft::{Raft, Config, RaftNetwork, RaftStorage};
use openraft::storage::MemStore;
use std::sync::Arc;
use tokio::sync::RwLock;
#[tokio::main]
async fn main() {
    let config = Arc::new(Config::build("cluster-1").validate().unwrap());
    let network = Arc::new(MyNetwork {});
    let store = Arc::new(MemStore::new());
    let raft = Raft::new(1, config, network, store);
    // ... implement RaftNetwork and run cluster
}
struct MyNetwork;
impl RaftNetwork for MyNetwork {
    // Implement network methods
}

TSK Raft Config

[raft]
enabled: true
cluster_id: "cluster-1"
node_id: 1
peers: [2, 3, 4]
timeout: "3s"
heartbeat_interval: "1s"

👑 Leader Election

Zookeeper-Style Leader Election

use zookeeper::{Acl, CreateMode, WatchedEvent, Watcher, ZooKeeper};
use std::sync::Arc;
struct LoggingWatcher;
impl Watcher for LoggingWatcher {
    fn handle(&self, e: WatchedEvent) {
        println!("ZK event: {:?}", e);
    }
}
fn main() {
    let zk = ZooKeeper::connect("127.0.0.1:2181", std::time::Duration::from_secs(5), LoggingWatcher).unwrap();
    let path = "/election/leader";
    let node = zk.create(path, vec![], Acl::open_unsafe().clone(), CreateMode::EphemeralSequential).unwrap();
    println!("Created node: {}", node);
}

TSK Leader Election Config

[leader_election]
type: "zookeeper"
zk_hosts: ["127.0.0.1:2181"]
election_path: "/election/leader"
timeout: "5s"

🗂️ Sharding & Partitioning

Consistent Hashing

use hash_ring::HashRing;
fn main() {
    let nodes = vec!["node1", "node2", "node3"];
    let ring = HashRing::new(nodes);
    let key = "user:123";
    let node = ring.get_node(key).unwrap();
    println!("Key '{}' is assigned to node '{}'.", key, node);
}

TSK Sharding Config

[sharding]
type: "consistent_hashing"
nodes: ["node1", "node2", "node3"]
replication_factor: 2

🤝 Distributed Coordination

etcd Integration

use etcd_client::{Client, GetOptions};
#[tokio::main]
async fn main() -> etcd_client::Result<()> {
    let mut client = Client::connect(["http://127.0.0.1:2379"], None).await?;
    client.put("/config/feature_flag", "enabled", None).await?;
    let resp = client.get("/config/feature_flag", Some(GetOptions::new())).await?;
    println!("etcd value: {:?}", resp.kvs());
    Ok(())
}

TSK etcd Config

[coordination]
type: "etcd"
endpoints: ["http://127.0.0.1:2379"]
timeout: "3s"
namespace: "/config"

🛡️ Fault Tolerance & Recovery

- Use replication and quorum for data safety - Monitor leader health and auto-failover - Implement circuit breakers and retries - Use distributed locks for critical sections

🧪 Testing Distributed Patterns

#[tokio::test]
async fn test_consistent_hashing() {
    use hash_ring::HashRing;
    let nodes = vec!["a", "b", "c"];
    let ring = HashRing::new(nodes);
    let key = "foo";
    let node = ring.get_node(key).unwrap();
    assert!(node == "a" || node == "b" || node == "c");
}

🎯 What You've Learned

1. Consensus - Raft, leader election, and cluster management 2. Sharding - Consistent hashing and partitioning 3. Coordination - etcd, Zookeeper, and distributed locks 4. Fault tolerance - Replication, quorum, and failover 5. Testing - Simulating distributed patterns in Rust

🚀 Next Steps

1. Deploy distributed clusters with TuskLang configs 2. Experiment with Raft, Zookeeper, and etcd 3. Implement sharding and partitioning 4. Monitor and test failover scenarios 5. Build robust, scalable distributed systems with Rust

---

You now have complete distributed systems mastery with TuskLang Rust! From consensus to sharding, from leader election to distributed coordination—TuskLang gives you the tools to build robust, scalable, and fault-tolerant systems with Rust.