The article walks through five interview‑style steps—modulo hashing, consistent hashing, range sharding, metadata routing with etcd, and choosing Raft or Gossip—to design a highly scalable, hot‑item‑aware, and consistent distributed storage system for billions of products.
This article explains the principles, roles, phases, and typical application scenarios of four major distributed consensus algorithms—Paxos, Raft, ZAB, and Gossip—while also offering promotional material for extensive architecture and interview resources.
This guide explains Redis high‑availability mechanisms, covering master‑slave replication, the Sentinel monitoring and automatic failover process, and the Redis Cluster sharding architecture, including hash slots, MOVED/ASK redirection, gossip communication, and practical considerations such as data consistency, network partitions, and slot allocation.
This guide walks through installing a Redis cluster with three masters and three slaves using local ports, explains slot allocation, key hashing, gossip communication, failover, node addition, resharding, and best practices for high availability, while providing practical commands and configuration examples.
Learn to set up a highly available Alertmanager cluster using the Gossip protocol, covering deduplication, routing, HA architecture, required cluster parameters, systemd service files, and Prometheus integration, with step‑by‑step commands and configuration examples.
This article explains the three Redis clustering modes, details how Redis Cluster uses 16384 hash slots calculated by CRC16, describes the rationale behind the slot count, and outlines the gossip‑based heartbeat communication and message format between master nodes.
This article provides a comprehensive analysis of Redis Cluster, covering node and slot assignment, command execution, resharding, redirection, failover, gossip messaging, and communication overhead, while explaining why clustering is needed, how it works, and how to deploy and manage it effectively.
This article reviews RadonDB, a MySQL‑based distributed database, detailing its architecture, SQL, storage, and compute nodes, sharding strategy, data‑balancing mechanisms, migration process, and practical recommendations for DBAs seeking high‑availability and consistent relational data handling.
