Dağıtık Sistemler & Mikroservisler

The Architecture of Modern Distributed Systems

Distributed computing is fundamentally about orchestrating independent nodes to behave as a coherent, unified system. While distributed topologies promise high availability and horizontal scalability, they introduce complex failure boundaries.

Core Principles

1. Consensus Algorithms: Implementing Raft and Paxos to maintain consistent state across unreliable networks.
2. Event-Driven Microservices: Decoupling services using message queues like Kafka and RabbitMQ.
3. Graceful Partitioning: Adhering to the CAP theorem to balance consistency and availability during network partitions.

// Node heartbeat dispatch
func (n *Node) broadcastHeartbeat(ctx context.Context) error {
    for _, peer := range n.peers {
        go peer.sendPing(n.term, n.id)
    }
    return nil
}

Ongoing Exploration

I actively experiment with zero-allocation serializers (FlatBuffers, Protobuf) and custom RPC communication protocols to minimize tail latencies under heavy load.